Preparing for a future the experts can't agree on

Cathie Wood NEW 👨‍👩‍👧 Kids — Cathie Wood deliberately keeps her kids learning from humans rather than screens, because she believes human experience and connection will only get more valuable as AI spreads -- though she admits this is a choice her economic means make possible.

Peter Diamandis NEW 🧭 Mindset — Peter Diamandis says the fix for rising AI fear is 'data-driven optimism': counter scary headlines with real numbers instead of just blind reassurance.

Peter Diamandis NEW 🧭 Mindset — Peter Diamandis argues AI only earns public trust if it visibly makes housing cheaper, education better, and healthcare more accessible -- not just longer lifespans -- and says the industry needs to tell those concrete stories instead of letting job-loss headlines dominate.

Cathie Wood NEW 💼 Career — Cathie Wood says technology has always been a net job creator and expects AI to cause labor shortages rather than mass unemployment, since nobody could have pictured influencer, Airbnb host, or Uber driver jobs back in the early 1990s.

Cathie Wood NEW 💼 Career — To get ahead of AI-driven job changes, Cathie Wood suggests asking ChatGPT or Grok to role-play a panel of futurists, scientists, and economists and list the brand-new jobs that will come from major new tech platforms.

Nikhil Chandak NEW 💼 Career — Nikhil Chandak expects solopreneurship to become a much bigger part of the economy because crypto-based capital formation is turning near-instant, so a good idea can get funded without going through a bank or a traditional employer.

Dave Blundin NEW 🧭 Mindset — Dave Blundin tells anyone young and ambitious to act as boldly as Elon Musk, times ten, because right now there is more change and opportunity available than at almost any point in history, as long as the vision you commit to turns out to be right.

Dave Blundin NEW 🛠️ Skills — Dave Blundin says the critical new skill for working with AI is learning to manage the mismatched speed between fast-moving AI tools and the slower pace of the people, organizations, and infrastructure around them, because that mismatch in cadence is what causes systems to break.

Dave Blundin NEW 🧭 Mindset — Dave Blundin says not to feel locked out of opportunity just because giants like Elon Musk and Mark Zuckerberg already dominate today, because breakthroughs like photonic computing are about to open up entirely new opportunities built on top of today's platforms.

Peter Diamandis NEW 💼 Career — Peter Diamandis advises entrepreneurial leaders to build a public voice, such as a social media channel or a podcast, because being visible and vocal builds trust and authenticity in a way that staying quiet and behind the scenes no longer can, and that matters more than ever now.

Dave Blundin NEW 🛠️ Skills — Dave Blundin recommends everyone build a portable 'AI memory,' a written file capturing your identity, interests, and projects, and feed it into whatever AI model or agent you use, because persistent context about who you are is becoming more valuable than any single clever response.

Alex Wissner-Gross NEW 🛠️ Skills — Alex Wissner-Gross points to a small team of mostly non-scientists who used Claude to design real antivenom candidates as proof that knowing how to direct AI at a hard problem now matters more than having deep domain expertise in that problem.

Peter Diamandis NEW 🧭 Mindset — Peter Diamandis tells entrepreneurs, kids, and everyone listening to aim far bigger than they currently think is possible, because AI has made it realistic for ordinary people, not just experts, to pick a big problem and actually go solve it.

Alex Wissner-Gross NEW 💼 Career — Alex Wissner-Gross warns that people in fields like pharma and biotech who assume their work is immune to the kind of AI 'bulk solving' that just upended math research are wrong, and the same disruption to their careers is coming in exactly the same way.

Peter Diamandis NEW 💼 Career — Peter Diamandis relays an MIT professor's observation that mathematicians who feel 'cooked' by AI are actually thriving because the threat pushed them to rapidly adopt AI tools, while biotech researchers who feel safe for now are falling behind because they haven't felt the same pressure to adapt yet.

Chamath Palihapitiya NEW 👨‍👩‍👧 Kids — Chamath says the highest-leverage thing a smart, successful parent can do isn't give money away to strangers, it's invest directly in raising their own kids well, since kids are likely to be just as capable as the parent.

Peter Diamandis NEW 👨‍👩‍👧 Kids — Peter's own family rule for teaching kids money habits: every dollar they earn gets split into savings/stocks, a giving bucket, and a spending budget, and his kids chose to put their savings into SpaceX.

Peter Diamandis NEW 👨‍👩‍👧 Kids — Peter says a 'birth dividend' (government invests $2,000 per newborn in the market, locked until age 65) sets kids up better than a one-time cash gift, because locked-in equity compounds for decades instead of getting spent right away.

Chamath Palihapitiya NEW 🧭 Mindset — Chamath says getting a whole generation of kids to own stock (via Elon's SpaceX gift) matters because future wealth will come from owning assets, not from paychecks, as AI takes over more jobs -- so the habit of ownership is the real lesson, win or lose on any one stock.

Dave Blundin NEW 💼 Career — Dave says Elon's share gift and employer stock-purchase plans point to the same lesson: because company pension plans are underfunded, workers need to own equity directly in the companies they work for rather than rely on a defined-benefit retirement.

Chamath Palihapitiya NEW 🛠️ Skills — Chamath says physically building the power plants and data centers AI needs is hard partly because the US spent 20 years steering kids toward screens instead of skilled trades like electrician work, so there's now a wide-open opportunity for anyone willing to learn hands-on technical skills.

Chamath Palihapitiya NEW 💼 Career — Chamath's advice for anyone wanting to get into the AI energy boom: start simple, put solar plus a battery on your house or join a distributed compute pool, since the utility monopoly on power generation is breaking open and that's the easiest entry point.

Peter Diamandis NEW 💼 Career — Peter says you don't need political connections to get into the AI energy/power buildout, because it's regulated at local, state, and federal levels -- anyone connected at any level, even non-technical executives, can find a way in and build a career from it.

Chamath Palihapitiya NEW 🧭 Mindset — Chamath says business ideas are a dime a dozen and don't determine whether someone succeeds; what actually matters is a person's capacity to keep working through failure and low points, regardless of how original the idea was.

Salim Ismail NEW 💼 Career — Salim says AI idea-generation tools like idealab.ai are especially useful for young people who feel lost about what to do with their life, because they turn a blank page into a concrete list to react to.

Peter Diamandis NEW 🎓 College — Peter argues the traditional path of good grades, a good college, and a degree is becoming obsolete, and it's now more valuable to find a purposeful problem and build something yourself -- tools that hand people a list of concrete ideas (like idealab.ai) help those who don't know where to start.

Dave Blundin NEW 🎓 College — Dave says the University of Waterloo, not MIT or Stanford, has become the real magnet for global AI talent (especially students who can't easily get into the US), and recommends students seriously consider it when choosing where to study AI.

Chamath Palihapitiya NEW 🎓 College — Chamath argues the US should automatically grant a green card to anyone earning a PhD or master's degree here, since turning skilled international graduates away over spy fears would be a bigger loss for the country than the risk itself.

Elon Musk (clip) NEW 🧭 Mindset — Elon says that even once AI and robots can do everything better than humans, people can still find meaning and happiness the way retirees do, without needing to be economically productive -- a reframe for kids worrying their future work won't matter.

Emad Mostaque NEW 🛠️ Skills — If you're building a hardware business right now, the winning move is stockpiling robots, actuators, and spare parts plus collecting proprietary training data, because robotic intelligence itself is about to become nearly free and hardware/data become the real bottleneck.

Emad Mostaque NEW 💼 Career — Robots will take over 'dull, dirty, dangerous' jobs (toxic cleanup, underwater manufacturing) before they come into homes, because of safety liability and a supply chain that isn't ready for billions of robots yet — which gives people a runway to adapt before broader job displacement.

Anushia Ansari NEW 🎓 College — As AI gets good enough to bulk-solve known math and physics problems, students choosing a field of study may avoid physics, math, and similar disciplines entirely — but humanity still needs people with the curiosity to identify new problems, not just people solving known ones.

Emad Mostaque NEW 🧭 Mindset — Even once AI solves a field's known problems, humans are still needed to decide which problems matter and how to apply the results to real goals like exploring space or biology — so the valuable skill becomes choosing direction and purpose, not raw computation.

Emad Mostaque NEW 👨‍👩‍👧 Kids — Most parents teach their kids' values reactively instead of deliberately because life gets in the way, but the first few years set a foundation that becomes much harder to change later — so it pays to intentionally decide early what you want to teach a child, like you would a curriculum.

Salim Ismail NEW 💼 Career — Most people don't actually find deep meaning in their jobs today (79% of corporate workers report dissatisfaction), so as AI and robots take over routine work, the healthy shift is toward 'being' — creativity, connection, and self-directed purpose — rather than defining yourself by a job title.

Peter Diamandis NEW 💼 Career — If AI and robotics crash the cost of housing, food, healthcare, and education toward $1,000/month for a family of four (XPRIZE's Abundance Prize goal), the income needed for security drops to around $12,000/year, which would free people to choose work based on meaning rather than survival.

Emad Mostaque NEW 🧭 Mindset — Keep doing things you love even though AI can already do them better, like chess or painting — people play chess more than ever despite AI being superior at it, because the value is in the enjoyment and process, not in being the best.

Peter Diamandis NEW 👨‍👩‍👧 Kids — Don't let kids use AI to shortcut ordinary homework; instead, challenge them to use AI for ambitious, previously-impossible goals (like designing a spacecraft), because the real skill to build in the age of super intelligence is shattering self-imposed limits, not finishing worksheets faster.

Peter Diamandis NEW 🧭 Mindset — Most people's sense of what they could never do comes from what their parents and friends told them growing up, not from reality — worth consciously questioning those inherited limits, especially now that AI and robotics remove many old constraints.

Emad Mostaque NEW 🧭 Mindset — Individual ability matters less than your ability to organize and convince other people around a goal — collective, collaborative learning (like Alpha School's model) beats working alone, and almost anyone can accomplish almost anything if they can build a movement around it.

Emad Mostaque NEW 👨‍👩‍👧 Kids — Finding a sense of purpose is tied directly to happiness and even to survival — the young people who are struggling most are the ones who haven't yet found their purpose, so helping kids find theirs early matters for their wellbeing, not just their career.

Salim Ismail NEW 🧭 Mindset — When you're on your deathbed, being rich won't be what you measure your life by — measure it instead by who you brought along with you and the purpose you shared with others.

Peter Diamandis NEW 💼 Career — When choosing where to work, match your own sense of purpose to the organization's mission — if your passion doesn't genuinely align with the company's purpose (for example, SpaceX needs real passion for space), you won't put your heart into the work and won't make it there.

Peter Diamandis NEW 🛠️ Skills — With free knowledge like YouTube tutorials, anyone anywhere can now self-teach their way to world-class results, as shown by a restaurateur in rural India who used YouTube alone to build a top-50 restaurant in the world with no formal training.

Peter Diamandis NEW 👨‍👩‍👧 Kids — The single most valuable thing you can do for a child or someone you mentor is help them find their purpose (something they love doing that also helps others), not just a passion, because purpose creates the intrinsic motivation that fuels persistence through failure.

Peter Diamandis NEW 🧭 Mindset — Real breakthroughs often require absurd persistence — Google's founders were turned down by a long string of investors before getting funded — and that level of persistence only comes from having a deep purpose, not just a good idea.

Alex Wissner-Gross NEW 💼 Career — Hand-crafted, artisanal mathematics as a profession is ending because AI now solves problems in bulk, so a career built only on doing that work by hand is at risk.

Alex Wissner-Gross NEW 💼 Career — Math fell first only because it is easiest to check, and the same bulk-solving will hit science, engineering and medicine, so do not assume your field is safe because it seems more complicated.

Alex Wissner-Gross NEW 💼 Career — Biology and medicine are no more protected than math just because they look more complicated; they have more data, so expect big disruption of biology careers too.

Dave Blundin NEW 🛠️ Skills — MIT mathematicians are responding by learning to use AI fast, which suggests the safest move is to become an early, skilled AI user in your own field.

Dave Blundin NEW 💼 Career — Once math is solved, engineering work like designing rockets, gears and robots becomes lookups, so engineers will move much faster and the value shifts from doing the math to deciding what to build.

Salim Ismail NEW 🎓 College — One researcher can now direct hundreds of AI agents instead of leading a team of postdocs, so he thinks advanced PhD programs as currently run are obsolete; think hard before committing years to one.

Dave Blundin NEW 🛠️ Skills — His team is trained to write short, direct prompts because polite filler wastes the AI's working space and lowers answer quality.

Peter Diamandis NEW 🛠️ Skills — Learning to ask a clear, precise question is the key skill for getting good results from AI today.

Dave Blundin NEW 👨‍👩‍👧 Kids — Young people are overwhelmingly nice to AI, and that is worth encouraging because being abusive to a model can carry over into how you treat real people.

Dave Blundin NEW 🛠️ Skills — The big gains come from learning how to loop and re-prompt AI well, which can multiply results by 10 to 100 times in fields like science and even movie making.

Salim Ismail NEW 🛠️ Skills — After big AI sessions, have the AI extract your key concepts and relationships into a portable personal memory so you can switch AI companies without losing what it knows about you.

Dave Blundin NEW 🛠️ Skills — The coming work skill is managing many AI agents at once, which can overwhelm a person, so he expects agents to report back with video and audio to keep you in control.

Peter Diamandis NEW 🧭 Mindset — Humans change slowly while AI grows exponentially, so each person will have to decide whether to team up with AI or be left behind.

Salim Ismail NEW 🧭 Mindset — The hopeful way to see AI is as something that restores human abilities, like letting a paralyzed woman speak again, rather than only replacing people.

Alex Wissner-Gross NEW 🧭 Mindset — Every industry gets disrupted eventually, but the order matters, so watch which parts of your field are hit first and position yourself accordingly.

Peter Diamandis NEW 💼 Career — A household robot costing about $1 an hour pays for itself if it frees you to earn more than that, so people who can use the freed time for paid work come out ahead.

Dave Blundin NEW 🛠️ Skills — Dave says AI video tools are now fast and cheap enough (a prototype in under 2 hours, a new video in under a minute) that turning an idea into a short narrated video is a more persuasive skill to build than just explaining it out loud.

Dave Blundin NEW 💼 Career — Dave warns that whole industries (he names pharma and insurance) are in denial about how fast AI is changing their field, like a thriving T-Rex refusing to believe a meteor is coming, so staying employable means assuming your own industry isn't safe from disruption and moving aggressively now rather than waiting.

Emad Mostaque NEW 🎓 College — Emad argues the best talent and the real solutions to big problems increasingly come from entrepreneurs chasing business opportunities, not from academia, so a university research path isn't the only or best route to doing meaningful work.

Salim Ismail NEW 🧭 Mindset — Salim says that once AI makes intelligence essentially free, the valuable human skills shift away from 'being smart' toward judgment, purpose, and trust, so people should stop trying to out-think AI and focus instead on deciding what to aim it at.

Unknown guest NEW 👨‍👩‍👧 Kids — A panelist announced free hands-on AI workshops for teenagers (run by 'Lily'), happening in Austin, TX on Oct 24, 2026, aimed at helping teens learn to use AI as a personal superpower rather than something to fear.

Astro Teller NEW 🧭 Mindset — Teller says anyone chasing a big goal needs equal parts audacity (the nerve to try something unlikely) and humility (admitting upfront it probably won't work), because without that humility people keep chasing a lost cause far too long before they quit.

Astro Teller NEW 🧭 Mindset — Teller says starting a bold project is the easy part; the real skill is cheaply and quickly testing whether it actually works instead of just staying excited about it, because effort alone is a poor substitute for results.

Astro Teller NEW 🛠️ Skills — Teller says the valuable habit to build is doing the unglamorous math first, like real material costs and what people will actually pay, because that first-principles homework kills bad ideas faster and cheaper than anything else.

Astro Teller NEW 🧭 Mindset — Teller's rule for any ambitious project is to tackle the single hardest, most uncertain part first instead of the easy supporting work, because easy progress feels good but doesn't prove the real idea actually works.

Astro Teller NEW 🧭 Mindset — Teller's decision rule is that wrongly passing on a good idea costs nothing because there's always another idea to try, but wrongly committing years to a bad one costs real money and time, so when in doubt he says no and moves on rather than regrets it.

Astro Teller NEW 💼 Career — Teller expects AI to take over more and more of the technical grunt work inside innovation teams, but says humans will stay essential for at least another 10 to 20 years for the parts that need judgment and trust, like deciding which problems matter and making solutions acceptable to real communities.

Astro Teller NEW 🧭 Mindset — Teller argues people get too hung up on the tool, like AI, instead of the actual problem they are solving, comparing it to a business bragging about 'using electricity' when what matters is what the business actually does.

Richard Socher NEW 💼 Career — Jobs in fields where AI crashes the price per unit of output (like illustration, which went from $200 to pennies) will shrink because demand doesn't rise to match, but jobs in fields like software, where everyone can afford a custom version just for them, will grow instead -- so the safer bets are work where cheaper AI creates more total demand, not less.

Salim Ismail NEW 💼 Career — Because AI can now do the research, writing, and project management a college graduate used to be hired for, the valuable skill shifts from doing tasks well to owning outcomes -- setting the goal, defining how success will be measured, and directing AI to get there, which means schools need a new way to teach judgment now that the entry-level grunt work that used to teach it is disappearing.

Richard Socher NEW 🧭 Mindset — Humans are wired to imagine a future problem and panic about it as if it's happening today, forgetting that there's usually a decade of progress between now and then that entrepreneurs will use to solve it -- so when you're worried about some scary future scenario, remember the solving happens along the way, it doesn't need to be solved already.

Alex Wissner-Gross NEW 👨‍👩‍👧 Kids — If your grandparents or parents are still around, record hours of video and audio of them telling their stories now, because that data is what will let you build a realistic, lifelike AI avatar of them for your kids and grandkids later -- the quality of that future avatar depends entirely on how much real data you collect today.

Richard Socher NEW 🛠️ Skills — A new job category called reward engineering -- writing precise instructions and feedback so an AI does what you actually meant, not just what you literally said -- is becoming a real, hireable skill as companies realize AI systems will chase the letter of a request over its intent unless someone gets good at specifying it correctly.

Richard Socher NEW 🧭 Mindset — Fear of new technology is a repeating historical pattern -- the printing press, the wheel, and the telegraph were all once blamed for ending civilization -- so when you hear apocalyptic predictions about AI, it's worth weighing them against a long track record of similar predictions about other technologies being wrong.

Elon Musk NEW 💼 Career — Elon says don't fear AI wiping out jobs wholesale — jobs have always evolved (nobody mourns the disappearance of human 'computers' who used to do calculations by hand all day), and right now demand for people is actually strong, so expect roles to shift rather than vanish.

Salim Ismail NEW 👨‍👩‍👧 Kids — Salim points out that parents today have vastly more support solving everyday problems (like a toddler's temper tantrums) than any previous generation, thanks to the flood of free online parenting advice and video — so don't feel like you're facing parenting challenges alone or under-resourced.

Peter Diamandis NEW 🧭 Mindset — Peter shares an X Prize filmmaker's analogy: if you fixate on the worst-case outcome while driving (staring at a pothole), you steer straight into it — so deliberately point your attention and imagination at the future you want for yourself and your family, not the one you fear.

Peter Diamandis NEW 🧭 Mindset — Peter reminds listeners that what you consume day to day — the shows you watch, what you read, who you spend time with — literally trains your brain's outlook on the future, so choosing optimistic, constructive inputs for yourself and your kids is a real lever, not just positive thinking.

Dave Blundin NEW 🛠️ Skills — Dave says that as companies automate workflows with AI agents, it forces previously-vague business processes to become explicit — meaning the valuable human skill going forward is being able to clearly state the key decisions that need to be made and gather solid evidence for them, letting AI handle the grunt work of searching and compiling information.

Emad Mostaque NEW 💼 Career — Emad says treating AI progress as a race to 'win' is the wrong mindset for your own career too — since the frontier keeps leapfrogging, what actually matters is how well you apply available AI tools to improve your own work and life, not being first to use the newest model.

Emad Mostaque NEW 🧭 Mindset — Emad says today's AI assistants now score at genius level on IQ-style benchmarks, so it's worth shifting how you use them — treat your AI as a brilliant thinking partner that can translate and extend your own ideas, not just a tool for simple tasks.

Dave Blundin NEW 🧭 Mindset — Dave warns against dismissing AI concerns just because the 'tech moral panic' pattern looks like past overblown warnings about social media — AI is a fundamentally different, more convincing technology capable of far more good and far more harm, so it deserves to be taken seriously on its own terms.

Peter Diamandis NEW 🎓 College — Peter notes that MIT seniors are skipping straight to building real hard-tech businesses, inspired by young founders like Brendan Foody who started his company at age 18 and is only in his early twenties now — the takeaway for students is that age isn't a barrier to starting an impactful company once you're willing to dive into physical-world, AI-enabled work.

Ben Lamb NEW 💼 Career — When building something ambitious, deliberately hire people to replace yourself and people who are much smarter than you, instead of trying to be the smartest person in the room.

Ben Lamb NEW 💼 Career — Don't avoid a field just because you're not an expert in it -- if you're passionate about it, go in anyway and surround yourself with the smartest people you can find, asking them constant questions.

Ben Lamb NEW 🧭 Mindset — A trait that looks like a weakness, like ADD or a short attention span, can become a strength -- it's what let him think broadly across many fields instead of narrowly in one.

Ben Lamb NEW 🧭 Mindset — Stay curious and be upfront about what you don't know, then directly ask real experts for help -- about nine times out of ten they'll say yes, because most people never bother to ask.

Ben Lamb NEW 🧭 Mindset — Expect some genuinely scary moments as AI and biotech advance, but stay optimistic that human ingenuity will work through them rather than assuming the worst-case media narrative.

Palmer Luckey NEW 👨‍👩‍👧 Kids — Palmer credits running an online hobbyist community (ModRetro) and holding a regular job starting at age 14 with teaching him how to build organizations, market them, and manage conflict between talented people long before he ever founded a company - his advice is that kids should get a job young so they learn how the real world works.

Peter Diamandis NEW 🎓 College — Peter repeats a recurring Moonshots position that grad school and even college are now optional for high schoolers, because the better path is to find a purpose you care about and use AI to build or code it yourself instead of defaulting to a traditional degree.

Palmer Luckey NEW 💼 Career — Palmer compares people mourning the end of hand-coding to artists who resented the camera - both reactions are understandable but the shift is inevitable; as a founder he never got to do the fun hands-on technical work he loved anyway, since a founder's real job is hiring other people to do it.

Palmer Luckey NEW 💼 Career — Palmer warns that AI doesn't remove the hardest, most draining parts of running a company - legal liability, interpersonal conflict, fundraising, and final decisions still rest entirely on the founder, and he expects that to stay true for at least another decade even as AI speeds up everything else.

Palmer Luckey NEW 💼 Career — Palmer's blunt warning to hobbyist coders or engineers who think AI will let them personally start and run a company doing all the fun technical work themselves: that's not how founding works, and they are in for a rude awakening, because being a founder has always meant handing the craft work to other people, AI or not.

Peter Diamandis NEW 🎓 College — Diamandis says the old path of doing well in school, going to college, getting a degree, and getting a job is 'cooked' because AI is reshaping entry-level work, so kids need a different plan than the traditional one.

Cathie Wood NEW 💼 Career — Wood says entry-level hiring has dried up (new grads average 6 months unemployed, median 3 months), so new grads should start their own AI-powered company with no employees while still job-hunting, because it shows initiative and gets noticed, and the company might take off instead.

Cathie Wood NEW 🛠️ Skills — Wood says every company now needs to bring in AI-native talent, people fluent in working alongside AI tools, to stay competitive.

Cathie Wood NEW 💼 Career — Wood advises anyone interested in healthcare or biology to pursue it now with AI, since AI is projected to cut new-drug development cost from about $2.4 billion to $600-700 million and time from 13 years to 8 or fewer.

Logan Kilpatrick NEW 🛠️ Skills — Kilpatrick says the biggest opportunity for builders right now is data, because AI compute is already de-risked, so packaging niche domain expertise as training data is the next big skill to develop, as shown by how much of the current YC batch is doing exactly that.

Mark Pincus NEW 🧭 Mindset — Pincus says today's social media is toxic and low-value ('bad calories', high noise-to-signal), and if he started over he'd build an AI-and-agent-powered alternative designed to minimize time spent in-app rather than maximize it.

Palmer Luckey NEW 🧭 Mindset — Luckey pushes back that social media isn't uniformly bad: a curated feed and tightly focused niche communities deliver real value, so the goal should be seeking out specific, intentional communities instead of endless scrolling.

Peter Diamandis NEW 🧭 Mindset — He says our brains are trained by what we watch and listen to just like AI models are trained on data, so deliberately choosing hopeful stories over dystopian ones actually shapes how optimistic or pessimistic a person becomes.

Neal Stephenson (clip) NEW 🧭 Mindset — He warns that AI assistants engineered to never frustrate you and always give you what you want prevent you from developing real virtues and capabilities, because those only grow through friction and being told no.

Mira Lane NEW 💼 Career — She says watching Star Trek: The Next Generation starting at age 10 was deeply philosophical and inspiring, and actually influenced the career choices she made later, an example of how early media exposure can steer a kid toward a field.

Mira Lane (clip) NEW 🛠️ Skills — She frames AI as a creative partner that helps you explore, create, and pitch ideas, but says it takes real intentionality to figure out what you can actually do with these new tools, meaning using AI well is itself a skill worth building.

Neil deGrasse Tyson NEW 🧭 Mindset — He credits The Twilight Zone with teaching him to expect the unexpected and build coping mechanisms for weird or disturbing situations before they happen, treating it as a life skill rather than just entertainment.

Neal Stephenson NEW 🛠️ Skills — He describes building his own TV from a Heathkit as a kid, having to first build the tools and meters needed before he could build the TV itself, an example of bootstrapping a hard skill one prerequisite at a time.

Emad Mostaque — Skip university, PhDs, and MBAs — spend that time and money quickly upskilling directly on frontier AI tools to get ahead of everyone else.

Peter Diamandis — Peter cites Eric Schmidt's prediction that within two or three years an AI 'world's best theoretical physicist' will be available to help every graduate and PhD student in every lab worldwide, meaning the mentorship bottleneck in advanced science degrees is about to disappear, worth knowing if you or your kid are weighing grad school.

Will.i.am — Will.i.am, reflecting on his Harvard executive program, says he doesn't remember most of what he studied by rote, but by having AI keep searchable memory of his coursework he can actually apply lessons to real decisions months later, which he thinks beats relying on human memory alone.

Dave Blundin — 70-75% of incoming MIT freshmen now say they want to start a company before they graduate, showing that even top students increasingly see entrepreneurship, not just the degree itself, as the point of college.

Salim Ismail — It hit Salim Ismail squarely in the middle of university, while doing real engineering co-op work, that most of his coursework (like orbital mechanics lectures) was something he'd never use again, which made it hard to stay motivated to finish his degree.

Magic Johnson — His parents paired 'dream big' with a hard requirement for education, which he says is part of why four of his sisters became teachers and why he still tells parents today that education is non-negotiable.

Dave Blundin — Dave recalls giving up on biology after AP Bio and MIT because rote-memorizing cycles felt pointless next to the real underlying complexity, a caution that traditional science curricula can turn kids off a subject AI-driven tools might make genuinely exciting instead.

Dave Blundin — When Dave told Stanford students their school's administration is completely out of touch on AI, it was the line that won the room, because the students already feel ahead of their own institution on the technology.

Dave Blundin — Dave describes a brilliant MIT researcher who wants to spin out a company around his AI-efficiency research right now but is finishing his PhD first, a reminder that even amid huge commercial pressure to move fast, completing your degree can still be the right call.

Peter Diamandis — No educational institution, including MIT, is preparing students for the pace of AI-driven change, and alternative credentials like the Thiel Fellowship and YC are starting to rival traditional degrees.

Dave Blundin — A perfect SAT score and GPA aren't the whole picture of a kid's potential; students curated from age six to be the perfect applicant often underperform later, because things like creativity, recruiting people, and motivating a team don't show up on those metrics.

Salim Ismail — A traditional 4-year degree that credentials you once for a 40-year career no longer matches how fast the job market is changing, which is why he's hoping the whole university system is forced to reinvent itself within 5 years, before his own son has to decide.

Salim Ismail — Graduate degrees in fast-moving fields are a real risk right now: a master's in neuroscience can be outdated by the time you finish it, because AI-assisted learners are already moving 2-4x faster than a classroom, so the field passes the degree by before it's even awarded.

Dave Blundin — Who gets selected matters more than what they're taught: the Thiel Fellowship doesn't teach anything, it just picks self-motivated, high-energy people and pays them to skip college, and about 5% of them became billionaires, a far higher rate than typical university admissions produce.

Dave Blundin — When picking a college, weigh how hard and bonding the experience is, not just prestige: brutally tough schools (MIT, Waterloo) force students to struggle through problem sets together and build lifelong friendships, while easier schools like Harvard build less of that bond because nobody has to lean on each other.

Salim Ismail — Don't write off a liberal arts degree as impractical — a large share of Silicon Valley CEOs majored in liberal arts, because the ability to think flexibly across different domains turns out to be a real factor in successfully leading a tech company.

Eric Schmidt — Eric Schmidt warns that unionized, heavily regulated school systems have no structural incentive to innovate and won't move fast enough to keep up with AI-driven learning, so parents shouldn't assume formal schooling alone will prepare kids for an AI world.

Sam Altman (relayed by Peter Diamandis) — Sam Altman suggested that by 2035 college as an institution might not even exist anymore, given how fast AI is changing what education and credentials mean.

Peter Diamandis — Diamandis argues that if you believe AGI or superintelligence is near, spending your college years chasing credits instead of building something real is the wrong trade.

Amjad Masad — Grades and attendance don't always capture what matters: Amjad's college grades were 'crappy' and he was marked down for attendance because he was spending all his time teaching himself to actually build software, which is what ended up mattering.

Dave Blundin — The old deal of 'get a skill in school, then sell it on the job market' is fading; education needs to flip to figuring out what problem you actually want to solve first, then picking up whatever skills or tools solve it.

Dave Blundin — College tuition keeps rising even though the degree's perceived value is falling, not because the material is worth less but because curricula haven't kept up with what AI has made learnable, so weigh a program by how current its content is, not its brand alone.

Brian Elliot — What actually matters from college is mostly getting admitted to a selective school, not graduating or your major, since top-school dropouts get funded and hired fast anyway, which is worth factoring in before taking on years of extra debt to finish.

Emad Mostaque — Employers and networks mostly care that you got into a brand-name school, not your GPA or what you studied, so if cost is the real barrier, getting in may matter more than the full degree.

Emad Mostaque — AI-powered intensive programs like Alpha School, with just two hours a day of AI tutoring, are already producing kids who outperform 99.5% of peers worldwide, making a conventional full-day university track worth questioning against these newer models.

Peter Diamandis — Citing Jensen Huang, Peter says the perceived value of a college degree has collapsed while new grads sit unemployed longest, so a trades job paying $100-200k right away can beat coming out of school with that much debt instead.

Peter Diamandis — Peter points to data showing Gen Z is shifting away from college and into trade programs (up 16% since 2023), with construction now the fastest-growing field for new grads in 2025, as evidence the trades shift is already underway.

Dave Blundin — Deep, narrow graduate specialization is now a liability — the entrepreneurs winning today dropped out of college because they recognized the urgency of the moment over pursuing a PhD.

Peter Diamandis — Peter says the real value of his college years wasn't the specific facts he learned (most became irrelevant), it was learning how to learn, and he sees new AI research on continual learning as a step toward giving machines that same lifelong-learning ability.

Salim Ismail — Salim jokes that AI now doing cutting-edge science validates not stressing over mastering every detail of a physics degree, since AI will increasingly do that heavy-lifting work, a half-joking sign that rote mastery matters less than knowing how to direct AI tools.

Dave Blundin — Being near a dense cluster of universities matters more for startup success than people realize: MIT produces more unicorn founders than Stanford, and Massachusetts leads the US in turning startups into IPOs mainly because of how many students and professors are packed into one area.

Peter Diamandis — Universities should admit students for lifelong learning instead of a one-time four-year degree, since the old model no longer fits fast change.

Salim Ismail — Traditional academia and the college system are being forced to rethink themselves, so do not assume a degree path stays stable.

Alex Wissner-Gross — If recursive self-improvement lets AI substitute for AI-engineering labor, today's rush into AI college majors could reverse, sending students back toward the humanities.

Salim Ismail — Parents should not send kids to college — top-down 4-year credentialing will be replaced by apprenticeship/live-work-play models before today's teenagers reach college age, since current schooling trains for jobs that won't exist.

Salim Ismail — College could be the absolute wrong move unless a student is using it to start a company or find purpose, given how fast the employment landscape is changing.

Peter Diamandis — Public confidence in college has collapsed — the share of Americans who see it as important fell from 75% in 2010 to 35% today, even as tuition has grown 893% since 1983.

Salim Ismail — Campus backlash against AI isn't anti-technology, it's anti-extraction — students sense companies profiting from AI without renegotiating the social contract with the young people entering that economy.

Dave Blundin — Students at Stanford are now building impressive working products overnight with AI, which suggests learning to build with AI tools matters as much as classroom knowledge.

Alex Wissner-Gross — A conventional 4-to-7-year PhD is a poor use of time right now because whole academic disciplines will be effectively solved by AI before a student finishes — universities should instead award fast 'one-month PhDs' for AI-assisted breakthroughs.

Peter Diamandis — Notes that standalone computer science enrollment is dropping, but says that's fine because AI is now being embedded into every college major instead (University of Florida alone offers 200 AI courses across 16 colleges), meaning kids need AI literacy inside whatever they study rather than a dedicated 'AI degree.'

Peter Diamandis — Reports that some Chinese universities now award PhDs for building working prototypes or completing real installations instead of writing a thesis, and the panel thinks that's the better model: credential people for what they actually built, not what they wrote about.

Peter Diamandis — Says AI is positioned to overhaul education the same way it's overhauling healthcare, but warns teachers unions and local school boards are the main forces slowing that change down, so parents pushing for it should expect institutional resistance.

Salim Ismail — Says that even in one of the slowest-moving academic fields, they found a student finishing a master's degree in neuroscience was already out of date by graduation because the field had moved faster than the coursework -- a warning about pursuing any multi-year degree right now.

Salim Ismail — Salim jokes that watching AI casually replicate years of PhD-level protein-folding research made him glad he skipped grad school, a real signal that traditional multi-year research PhDs are losing value fast as AI catches up to what took humans years to discover.

Dave Blundin — At elite technical schools like Northeastern and Harvard only about 10-20% of students are actively using AI tools/agents while 70-80% are actively opposed, creating a widening cultural and skills gap between the two groups on the same campus.

Dave Blundin — Dave says it no longer makes sense to advise a talented young person to leave for a multi-year PhD program right now, because hands-on AI mastery in this exact moment is worth more than an advanced degree.

Emad Mostaque — Emad says don't bother with a college degree right now, because you'd spend years learning one narrow thing when what actually matters is learning 'agency' — how to direct people and AI agents to build something real.

Emad Mostaque — Emad says any PhD in a field where answers can be automatically checked, like math, is now at serious risk, because he's seen friends' research problems get solved by AI models before they finished, leaving them unsure what to work on next.

Peter Diamandis — A new U.S. Space Academy was chartered (modeled on West Point) to train future spacecraft crews -- a brand-new non-traditional pathway for kids aiming at space careers.

Peter Diamandis — Trump's newly chartered U.S. Space Academy, modeled on West Point and the Naval Academy to train crews for a future space fleet, gives Peter a concrete alternative goal to point his own kids toward instead of (or alongside) a traditional college degree.

Salim Ismail — Because frontier AI models are now smart enough to bulk-solve narrow academic problems, anyone doing a master's or PhD on one narrow topic risks finishing a degree that AI has already made obsolete.

Dave Blundin — A brilliant hire chose a Princeton PhD over joining Dave's fast-moving AI company; Dave says that by the time a multi-year PhD finishes, the person will be years behind the frontier and calls it the wrong move, even though family and academic pressure push kids toward it.

Peter Diamandis — If you're a junior/senior applying to med school, law school, or a PhD program mostly out of momentum or to make family proud, treat your time as your most valuable asset: set aside real time now to imagine what else you'd do if you dropped out, because without that alternate plan you'll never be able to jump tracks later.

Salim Ismail — Fixed school curricula are becoming obsolete because a kid working with AI can learn in one hour what used to take a full day in a classroom, meaning the whole content-delivery model of traditional schooling is heading for a breaking point.

Peter Diamandis — MIT's own five-month faculty study found AI is upending problem sets, take-home exams, and undergrad research, and is pushing students toward 'cognitive surrender' -- reflexively letting AI do the thinking at the first sign of difficulty; the panel treats this as a warning every parent and professor should read, not just an MIT issue.

Dave Blundin — Dave's take on the right response to AI in the classroom: trying to police or catch students using AI is a losing arms race for both teacher and student; schools should instead accept it's permanent and continuously redesign curricula so students still get challenged even with AI available.

Dave Blundin — Dave argues hands-on undergraduate research programs (like MIT's UROP) should be protected and strengthened, not replaced by AI agents, because their real value was always the personal experience of doing real research, not just producing results.

Dave Blundin — Dave's structural view: the useful life of a learned skill has dropped from about 30 years to about 3 years, so education at every level (primary through university) needs to flip from teaching a fixed skill and hoping there's demand later, to starting with a problem you're excited about and building capability around solving it.

Dave Blundin — Through his involvement in the TKS program, Dave says the emerging model for high school and college is to have students build a real company as their thesis project, because the core goal is helping students find intrinsic purpose and practical AI/entrepreneurial skills, not just complete coursework.

Dave Blundin — College's real value isn't the curriculum, which can't keep up with how fast AI changes what's useful to know, it's the lifelong friendships and the first real experience of deep, reflective thinking that come from being around like-minded people for a few years.

Alex Wissner-Gross — Alex thinks today's universities are broken enough that the fix isn't gentle reform, top US research universities should be broken apart and rebuilt as leaner, for-profit public institutions.

Salim Ismail — Salim says universities are almost as resistant to change as religious institutions, so parents shouldn't expect them to modernize quickly even as their old job-training model stops working.

Peter Diamandis — Peter's advice to a parent second-guessing whether to push their teen toward college: what matters isn't whether the learning happens inside or outside school, it's whether the kid finds their own purpose and the internal drive to chase it.

Peter Diamandis NEW — Peter repeats a recurring Moonshots position that grad school and even college are now optional for high schoolers, because the better path is to find a purpose you care about and use AI to build or code it yourself instead of defaulting to a traditional degree.

Peter Diamandis NEW — Diamandis says the old path of doing well in school, going to college, getting a degree, and getting a job is 'cooked' because AI is reshaping entry-level work, so kids need a different plan than the traditional one.

Peter Diamandis NEW — Peter notes that MIT seniors are skipping straight to building real hard-tech businesses, inspired by young founders like Brendan Foody who started his company at age 18 and is only in his early twenties now — the takeaway for students is that age isn't a barrier to starting an impactful company once you're willing to dive into physical-world, AI-enabled work.

Emad Mostaque NEW — Emad argues the best talent and the real solutions to big problems increasingly come from entrepreneurs chasing business opportunities, not from academia, so a university research path isn't the only or best route to doing meaningful work.

Salim Ismail NEW — One researcher can now direct hundreds of AI agents instead of leading a team of postdocs, so he thinks advanced PhD programs as currently run are obsolete; think hard before committing years to one.

Anushia Ansari NEW — As AI gets good enough to bulk-solve known math and physics problems, students choosing a field of study may avoid physics, math, and similar disciplines entirely — but humanity still needs people with the curiosity to identify new problems, not just people solving known ones.

Peter Diamandis NEW — Peter argues the traditional path of good grades, a good college, and a degree is becoming obsolete, and it's now more valuable to find a purposeful problem and build something yourself -- tools that hand people a list of concrete ideas (like idealab.ai) help those who don't know where to start.

Dave Blundin NEW — Dave says the University of Waterloo, not MIT or Stanford, has become the real magnet for global AI talent (especially students who can't easily get into the US), and recommends students seriously consider it when choosing where to study AI.

Chamath Palihapitiya NEW — Chamath argues the US should automatically grant a green card to anyone earning a PhD or master's degree here, since turning skilled international graduates away over spy fears would be a bigger loss for the country than the risk itself.

1 · Credentials are losing signal.

2 · Curricula can't keep up with AI.

3 · Starting something has never been cheaper.

4 · The window feels unusual.

Survivorship and selection bias.

Even the skeptics carve out exceptions.

The jobs apocalypse keeps not arriving on schedule.

Panel — Critical thinking and human connection are the essential future-proof skills in the age of AI and automation.

Mo Gawdat — Mo's practical advice for staying employable: learn how AI tools actually work and start using them now, instead of waiting to catch up after you're already behind.

Will.i.am — Will.i.am points out that kids today have lost easy access to hands-on tinkering -- component shops like Radio Shack are gone and he could once buy real chemistry chemicals -- so hands-on building skills now take deliberate effort for parents to seek out rather than happening by default.

Will.i.am — Will.i.am tells teachers who fear AI that the fix isn't avoiding it -- his company partners with universities to have professors and tutors build their own AI agents that augment, not replace, their grading and teaching, so educators should learn to build with AI rather than ban it.

Peter Diamandis — He says the skill that differentiates people now is asking great questions, not knowing facts, because AI has made any piece of knowledge instantly accessible to everyone.

Peter Diamandis — Diamandis says schools shouldn't ban AI out of fear it makes things too easy; instead teach the underlying skill first, then use AI as a 'rocketship' to go further, not a shortcut that replaces learning.

Peter Diamandis — He says one of AI's biggest benefits is using it as a thinking partner: ask it to argue the other side of a disagreement, explain your view to someone who disagrees, or ask how an admired leader would solve your problem, to break out of fixed thinking.

Salim Ismail — Salim relearned an entire year-long university physics course (rebuilding Einstein's relativity from scratch) in about three days by having AI explain why each step mattered as he went, showing how much faster real understanding can happen with an AI tutor instead of a fixed curriculum.

Palmer Luckey — Palmer says becoming a deep expert in one specific thing beats being a generalist, which is why Anduril deliberately partners with specialist companies for work outside its own expertise instead of trying to build everything in-house.

Vinod Khosla — Employees inside companies are starting to write their own software applications in plain English without going through IT, so the valuable skill becomes directing AI tools clearly, not memorizing programming syntax.

Vinod Khosla — Within five years, AI systems acting as autonomous chemists, physicists, and biologists will be able to multiply the world's effective scientific output 10 to 100 times by designing and running their own experiments without human help, a shift Khosla thinks most people haven't grasped yet.

Steve Brown — Build the habit of talking through your life story, values, and purpose out loud to an AI interviewer, since most people lack the hundreds of pages of writing a personal AI agent would otherwise need to represent them accurately.

Peter Diamandis — Don't just watch new AI avatar tools from the sidelines; commit to actually trying one yourself this year, because hands-on use is what teaches you what the technology can really do for you.

Dave Blundin — Standard school curricula like calculus and basic chemistry/biology haven't meaningfully changed since Isaac Newton's time even though useful human knowledge has grown roughly a millionfold, so kids spend years on material they'll never use instead of what's actually worth knowing now.

Dave Blundin — Emad Mostaque's years-old call that there would be 'no more coders' within five years is arriving faster than expected; building real industrial software still needs a human coder for now, but that window is closing fast, so the better bet for most people right now is to build with AI vibe coding rather than worry about reading the generated code.

Magic Johnson — His dad made him earn spending money through yard work instead of handouts, teaching him that work ethic has to extend beyond the one thing you're naturally good at.

Travis Kalanick — Workers whose job is just executing a known process, like traditional consulting, are at serious risk from AI, so the safer path is becoming the person who designs or assembles the systems that replace that execution work, not the one doing the execution.

Travis Kalanick — Kalanick is cautiously optimistic AI won't wipe out jobs wholesale, but says the real rule for staying valuable, as a person or a company, is building things that genuinely improve people's lives, since anything that doesn't is destined to fail no matter what technology it uses.

Ben Lamm — Ben Lamm says Colossal's team and technology are split roughly half software/computational and half biology, a sign that modern biotech careers increasingly need coding and data skills alongside wet-lab science.

Ben Lamm — Ben Lamm applies a software-engineering principle to gene editing: if you can get the same result with fewer changes, always choose fewer, because every edit (like every line of code) carries risk — a principle that generalizes to any engineering skill.

Dave Blundin — Kids who skip computer science classes may end up better prepared than CS majors for the skilled-trade and manufacturing jobs coming back as AI automates coding.

Peter Diamandis — Over 250 CEOs are pushing states to require AI and computer science classes for high school graduation because even one CS class raises future wages about 8%, and kids who skip it risk hitting a wall unprepared.

Dave Blundin — Dave says the grind-it-out technical co-founder skill matters less now that AI can implement almost anything, while the visionary skill of deciding what's actually worth building has become more valuable than ever -- that's the skill worth building.

Dave Blundin — Dave flags a rising career skill: hunting for overlooked, monetizable data sets and figuring out how to turn them into revenue, since AI is turning raw execution into a commodity.

Dave Blundin — Organizations should free up people's time now and put formal AI-education programs in front of them, because waiting until disruption fully arrives leaves no runway to retrain for a new career.

Anish Acharya — AI is splitting the technical skill of making something (music, art, video) away from the inspiration behind it, so the valuable skill to build going forward is the creative vision and taste, not the execution craft AI can now do instead.

Anish Acharya — Anish sees technical founders who can actually write code themselves succeeding more, not less, in the AI era, because AI raises everyone's capability but there's still a large amount of edge-case work only a hands-on technical person can do, so building real technical skill still pays off.

Dave Blundin — Dave points out that real-time AI translation and natural-language ('vibe') coding are erasing the old advice to make kids learn a foreign language or learn to code purely for career reasons, since AI can now do both instantly for them.

Dave Blundin — As evidence that language shapes ability, Dave notes south Indian students dominate India's national math competitions because the structure of their language trains their brains for mathematics, an argument for keeping deep skill-building even in an AI-translated world.

Peter Diamandis — Peter predicts that paying for a top-tier AI subscription (currently $250/month for Google's Ultra tier) will become mandatory for anyone in a professional career, the same way a $20/month ChatGPT subscription already feels necessary to many, so budget for it as a career tool, not a luxury.

Dave Blundin — What aspiring entrepreneurs need most isn't more ideas, it's time and the ability to act on them; AI tools are starting to hand both to people who were previously stuck in jobs just to pay off mortgages or student debt.

Mo Gawdat — Because AI tools like Claude now make it possible for anyone to write code or launch a business, expect kids as young as 14 to 16 to start acting as real entrepreneurs, well before the traditional after-college timeline.

David Sinclair — Humans still out-imagine AI in science today, but Sinclair expects AI to match human creativity within just a few years, so the skill worth building now is original creative thinking, since AI will soon out-execute rote technical work.

David Sinclair — The habit that makes technical work trustworthy is independent verification: Sinclair's lab refuses to publish a result until a separate lab reproduces it first, which is why none of his papers have ever been retracted.

Dave Blundin — Letting AI do your writing or thinking for you works exactly like relying on GPS to drive — you get there, but you never actually learn the route, and the skill becomes a crutch you can't function without.

Dave Blundin — Even though AI 'vibe coding' can write software almost instantly, kids should still spend real time writing raw code themselves at least once — you only appreciate how much faster AI makes you, and build real skill, after doing it the hard way.

Salim Ismail — The simplest way for anyone, including a teen, to start building AI skills: pick any task you already do, ask the AI how it would approach that task, then hand it the raw data and let it try — low effort, fast payoff.

Emad Mostaque — Emad says plain coding ability is losing value because AI can already write clean code fast; the skill worth building now is 'context engineering' — clearly directing an AI toward what you actually want built.

Eric Schmidt — Eric Schmidt tells young people worried about big problems like climate change to use today's foundation models to simplify the science, invent new materials, or design more efficient energy systems, because AI makes it possible for one motivated person to meaningfully contribute to a cause they care about.

Dave Blundin — If you've never tried AI coding, the easiest starting point is opening ChatGPT-5's canvas feature and asking it to build you a simple game or app, even with zero coding experience.

Kevin Weil — AI coding tools could turn the ability to code from a rare skill (only 30 million people worldwide today) into something 300 million to 3 billion people can do, because building software is becoming a general-purpose skill anyone can pick up with AI help.

Sid Pardeshi — Pardeshi says that as AI automates coding itself, the real bottleneck becomes writing clear specifications and requirements, meaning precise written communication is becoming more valuable than raw coding skill.

Reid Hoffman — Heavy AI users are shifting to 'computational thinking' — starting any new problem by drafting the prompt that will get the best research answer, rather than working the problem directly.

Amjad Masad — Even as AI makes basic coding accessible to millions, Amjad says deep specialists won't disappear, echoing Grace Hopper's own prediction when she invented the compiler, so going deep in a skill still has lasting value.

Dave Blundin — Dave's worry worth passing on: when kids let AI write the code or the essay for them, they can skip learning to break a problem into logical pieces first, the same way AI-written essays can erode a student's ability to build a clear argument.

Amjad Masad — Amjad's counter to that worry: every past generation feared that an easier tool (assembly to C to Python) was 'too high level' to really learn on, and that fear has been proven wrong every time so far.

Peter Diamandis — A real cautionary tale: a medical company CEO got excited about ChatGPT and uploaded all his patients' data into it, creating serious legal exposure, a reminder to think hard before feeding sensitive data into any AI tool.

Dave Blundin — A new skill frontier is opening where biology and code merge: as DNA editing starts to be treated like a software-engineering problem, kids curious about both biology and programming should know these fields are converging fast.

Dave Blundin — Learning transfer-learning and distillation techniques, which can match AI model quality using 1% of the compute, is a genuine competitive skill and business moat right now, worth building for anyone technical.

Peter Diamandis — Anyone, regardless of coding background, should just try an AI app-building tool like Replit with a curious, playful mindset, since the barrier to building something real with zero requirements has basically disappeared.

Brian Elliot — Quickly prototyping something with AI tools is now a baseline skill everyone has, but the real career value is in taking that prototype to real-world scale, which is where expertise still pays off.

Peter Diamandis — Peter's practical tip for adapting as audiences move away from old sites: use a tool like Similarweb to see exactly where traffic is actually going now, then meet people there instead of chasing the old channel.

Peter Diamandis — Peter demonstrates a practical AI skill anyone can use right now: feed an AI a few patents or ideas relevant to your business and ask how to combine them into a new product or service, calling it a genuine creative engine.

Eric Schmidt — Schmidt says the real skill to develop is proving you can scale something that works, not just pitching an idea: getting from zero to one is the easy, compressed part, and demonstrating you can grow from one customer to many is what actually matters.

Dave Blundin — Dave tells econ and business students (not just computer science majors) that their entry point into the AI boom is the financing side of data-center and nuclear-power buildout, where government-backed loans fund infrastructure projects, so that track is as viable a skill path into AI as coding is.

Dave Blundin — The people now making billion-dollar infrastructure decisions are math, physics, and computer-science first-principles thinkers rather than traditional deal-making executives, which is a sign that deep technical literacy is becoming the most valuable career skill.

Salim Ismail — In the marshmallow challenge, teams with an executive assistant win and MBAs finish last because they cheat and break things, a reminder that coordination and cooperation matter more than credentials when building something.

Alex Wissner-Gross — Building software will soon be trivially easy with AI models, so learning to direct AI to create programs and apps on demand is becoming a basic skill, though the supply of software will also flood the market.

Peter Diamandis — The biggest mistake educators make is treating AI as a cheating tool rather than an amplification tool — students should use it to tackle graduate-level problems, not grade-level homework.

Tony Robbins — Teaches three escalating skills — recognizing patterns (removes fear), using patterns (builds power), and creating new patterns (makes you the best in an industry) — as the way to stay relevant regardless of what AI does to any given field.

Ray Kurzweil — Being good across several fields and combining their insights is where humans have been limited and AI will excel, so breadth of knowledge is what AI will surpass.

Brett Adcock — The valuable engineering skill in robotics is shifting from hand-coding rules to training neural nets and building data, because hand-written code can only be pushed so far on a human-shaped robot.

Dave Blundin — Dave notes that a robot company is no longer mostly people on actuators and batteries; huge numbers of staff sit at workstations on neural nets, so machine learning and data skills are what the work now needs.

Brett Adcock — Programming a robot to replay pre-set moves is something a college student can do in a dorm, so it is not a career-defining skill; the rare, valuable skill is making robots respond to the real world in real time.

Brett Adcock — He says today's AI models can already do far more than people use, and that a simple setup of text files and tools can act as an executive assistant, so learning to direct AI agents is a practical skill now.

Joe Liemandt — Forty years of learning-science research has shown kids can learn 2-10x faster, but that research never got implemented because it doesn't work in a teacher-in-front-of-a-classroom model.

Joe Liemandt — Traditional time-based schooling rewards IQ and conscientiousness so only about 10% of students naturally excel; mastery-based learning lets any student reach the top because success becomes a function of effort and time, not innate ability.

Peter Diamandis — Coding as a job is being hollowed out: Emad predicted three years ago that coders would be gone within five years, and Peter says it has already happened, so do not plan a career on routine coding alone.

Dave Blundin — Learn to write clear, written plans and documents because every organization now runs on work that AI can read, and meetings alone leave nothing for AI to act on.

Dave Blundin — For a computer-oriented kid asking how to get in the game, start with Andrej Karpathy's free GitHub repos, which teach AI hands-on and openly, a few hundred lines of code at a time.

Dara Khosrowshahi — Uber AI Solutions gives drivers and new workers flexible tasks like labeling data and testing AI models, so a person worried about driving jobs can build AI-adjacent skills that pay on a flexible schedule.

Dara Khosrowshahi — When choosing a new field or career move, pick one that builds on a core skill you already have, because that gives you a right to win; wild unrelated leaps suit startups better.

Dave Blundin — The traditional career ladder (school, entry-level job, gradual promotion) was already becoming a dead end given the pace of change; AI becomes the new fast, nimble teacher while the expanding economy keeps creating new opportunities.

Dave Blundin — Young people who truly use AI tools every day can earn a seat with senior executives, because large companies are urgently trying to become AI native and need that fluency.

Dave Blundin — With cheap open-weight AI models becoming powerful enough to run coordinated cyberattack swarms, Salim and Dave both flag cybersecurity as a coming boom industry -- current cyber practices haven't changed in 20 years and aren't ready, so skills in AI-era security defense will be in high demand.

Moonshots audience survey — In a 500+ response audience survey, AI literacy (78%) and critical thinking (72%) ranked as the top skills people believe will matter most over the next 10 years — well above finance or science/engineering knowledge.

Kush Bavaria — Says he doesn't use the specific coding fundamentals from his MIT degree day to day, but learning them still mattered because it taught him to use AI tools far more effectively than someone without that technical background, comparing it to how knowing arithmetic makes you better at using a calculator.

Kush Bavaria — Describes how MIT already adapted grading after ChatGPT arrived, shifting intro coding classes from mostly homework-based (51%) to mostly test-based (95%) grades because take-home work couldn't stop AI use, and predicts the next step is redesigning tests themselves to let students use AI and grade them on how skillfully they use it, the same way graphing calculators eventually became allowed in math class.

Kush Bavaria — Recalls being taught that biology has too short a useful shelf-life to be worth deep study (echoing Marvin Minsky's old advice to Peter to study math instead), and admits he barely uses the specific biology he was required to learn at MIT because he can just ask ChatGPT for the answer now.

Dave Blundin — Dave says his daughter, a biochemical engineer at Moderna, shows almost all her biotech coworkers are barely AI-aware while the small AI-aware minority now spend most of their workday directing AI agents instead of doing hands-on lab work, meaning staying employable soon means becoming fluent with AI tools inside your own specific field, not just generally aware AI exists.

Peter Diamandis — Diamandis's son asked Chinese entrepreneurs what drives startup success and learned it wasn't teamwork or a business plan but reading which direction government policy and investment is flowing next and building in that lane — a reminder that aligning with macro tailwinds can matter as much as raw hustle.

Dave Blundin — As AI models themselves become an interchangeable commodity, the real economic opportunity shifts to the application layer -- the interface, workflow, and specific problem you solve on top of the AI, not the model itself -- so entrepreneurs should build there.

Dave Blundin — Dave says the real skill to build isn't using one AI agent at a time, it's learning to run a 'swarm' of dozens to thousands of them like managing an organization, with a clear reporting structure, because otherwise you can't tell if they're actually being productive.

Dave Blundin — Dave's dad refused to learn computers in his 40s and finished his whole GE career fine without them, but Dave argues today's AI tools are far easier to adopt than early PCs were, so there's no longer a good excuse for anyone, technical or not, to avoid getting on the AI bandwagon.

Dave Blundin — AI automating rote work, like manual bookkeeping, doesn't eliminate jobs, it moves people 'above the loop' into higher-value judgment, curation, and creative work, so the skill worth building now is applying experience and judgment rather than doing repetitive tasks.

Dave Blundin — If someone in your life isn't using AI yet, have them spend at least 30 minutes a day just talking to a model like a personal tutor starting from zero knowledge, since it's free and available on every phone, with no good excuse left not to start.

Dave Blundin — Dave credits Peter's ability to filter 200-300 daily AI stories down to what matters to combining a PhD in biotech, MIT degrees in biology and aeronautics, and deep AI/computer science background -- the point being that broad interdisciplinary depth plus AI fluency is what makes someone able to synthesize an overwhelming flood of information, not any single credential.

Matt Pines — Matt argues that big scientific breakthroughs have always been slowed down by the old path of spending 22 years in school and then getting stuck inside slow corporate, academic, or government bureaucracies, and AI is now removing that bottleneck entirely, so knowing how to direct an AI system on a hard problem is starting to matter more than years of formal credentialing.

Alex Wissner-Gross — Alex points out that Architect Labs designed an entire AI chip with almost no human chip designers on staff, calling this the next step after Nvidia going 'fabless' -- the skill that matters now is directing and verifying what an AI system produces, not staffing large teams of specialists.

Dave Blundin — Says the skill entrepreneurs, builders, and executives need for the AI era is synthesis: when a swarm of AI agents produces way more output than any person can read, the valuable move is to wrangle that chaos down into one concrete, buildable answer instead of getting overwhelmed by it.

Peter Diamandis — If you're worried about your job or getting a job, the single highest priority right now is becoming AI-literate: actually using the tools daily, not avoiding them, because that's what keeps you employable as AI reshapes the economy.

Dave Blundin — Just using an AI copilot for a productivity boost isn't enough anymore - that bar is rising too fast to stay ahead there. The real advantage goes to people who learn to direct and manage tens, hundreds, or even a thousand AI agents at once, the way you'd manage a team of employees.

Salim Ismail — Even as AI makes video production dramatically cheaper, the sheer creativity of storytelling, plot, and character choices is still the hardest thing to replicate -- so investing in real storytelling craft stays valuable even as production itself gets automated.

Salim Ismail — Pointing to how one person (3Blue1Brown's Grant Sanderson) already produces documentary-quality educational videos alone, Salim argues that as new AI tools cut video production costs 10-100x, making great educational content becomes a realistic skill/career for far more people, not just big studios.

Dave Blundin — If you're new to using AI day-to-day, start with planning: log how your day actually went and ask AI how you could have saved time, since that low-stakes habit builds comfort before tackling bigger AI-assisted workflows.

Dave Blundin — You can now 'vibe code' (build with AI assistance, no traditional programming needed) a working app for a small or niche business in almost no time, letting customers get instant AI-guided answers instead of needing you directly.

Dave Blundin — Directing a large number of AI agents toward a useful outcome is genuinely hard right now, closer to managing a thousand employees than typing a prompt -- so the valuable skill to build is organizational/management ability applied to AI agents, not just knowing how to use one AI tool.

Dave Blundin — As AI increasingly generates the technical advice a lawyer or consultant would give, the durable, buildable skill is being a trusted 'consigliere' who helps someone think things through and negotiate, since that judgment role is what AI can't easily replace.

Vlad Tenev — Even after robo-advisors matched or beat humans at technical tasks like tax-loss harvesting, the human financial-advisor market grew faster, because what clients actually value is a person trustworthy enough to fully delegate decisions to, not the technical advice itself, so building trustworthiness is a career asset AI won't replace.

Dave Blundin — Dave's advice to anyone in computer science: pivot into manufacturing and hardware now, because software skills have matured but hardware and physical-world skills will stay in high demand for a long time.

Dave Blundin — Dave says the skill of managing people transfers almost directly to managing AI agents, same communication style, same level of detail, same way of breaking down problems, so people-management experience is becoming a genuine AI-era skill worth building.

Alex Wissner-Gross — Alex says years of work building specialized robotics software may already be obsolete, because a single general-purpose AI model dropped into a robot body can now learn to drive or operate it directly, so dedicated robotics-coding expertise is losing value as a specialized skill.

Emad Mostaque — Emad predicts no narrowly specialized AI model (and by extension, no narrowly specialized human skill) will beat a generalized model within a couple of years, so building broad, adaptable competence matters more than deep narrow specialization.

Cathie Wood NEW — Wood says every company now needs to bring in AI-native talent, people fluent in working alongside AI tools, to stay competitive.

Logan Kilpatrick NEW — Kilpatrick says the biggest opportunity for builders right now is data, because AI compute is already de-risked, so packaging niche domain expertise as training data is the next big skill to develop, as shown by how much of the current YC batch is doing exactly that.

Mira Lane (clip) NEW — She frames AI as a creative partner that helps you explore, create, and pitch ideas, but says it takes real intentionality to figure out what you can actually do with these new tools, meaning using AI well is itself a skill worth building.

Neal Stephenson NEW — He describes building his own TV from a Heathkit as a kid, having to first build the tools and meters needed before he could build the TV itself, an example of bootstrapping a hard skill one prerequisite at a time.

Dave Blundin NEW — Dave says that as companies automate workflows with AI agents, it forces previously-vague business processes to become explicit — meaning the valuable human skill going forward is being able to clearly state the key decisions that need to be made and gather solid evidence for them, letting AI handle the grunt work of searching and compiling information.

Richard Socher NEW — A new job category called reward engineering -- writing precise instructions and feedback so an AI does what you actually meant, not just what you literally said -- is becoming a real, hireable skill as companies realize AI systems will chase the letter of a request over its intent unless someone gets good at specifying it correctly.

Astro Teller NEW — Teller says the valuable habit to build is doing the unglamorous math first, like real material costs and what people will actually pay, because that first-principles homework kills bad ideas faster and cheaper than anything else.

Dave Blundin NEW — Dave says AI video tools are now fast and cheap enough (a prototype in under 2 hours, a new video in under a minute) that turning an idea into a short narrated video is a more persuasive skill to build than just explaining it out loud.

Dave Blundin NEW — MIT mathematicians are responding by learning to use AI fast, which suggests the safest move is to become an early, skilled AI user in your own field.

Dave Blundin NEW — His team is trained to write short, direct prompts because polite filler wastes the AI's working space and lowers answer quality.

Peter Diamandis NEW — Learning to ask a clear, precise question is the key skill for getting good results from AI today.

Dave Blundin NEW — The big gains come from learning how to loop and re-prompt AI well, which can multiply results by 10 to 100 times in fields like science and even movie making.

Salim Ismail NEW — After big AI sessions, have the AI extract your key concepts and relationships into a portable personal memory so you can switch AI companies without losing what it knows about you.

Dave Blundin NEW — The coming work skill is managing many AI agents at once, which can overwhelm a person, so he expects agents to report back with video and audio to keep you in control.

Emad Mostaque NEW — If you're building a hardware business right now, the winning move is stockpiling robots, actuators, and spare parts plus collecting proprietary training data, because robotic intelligence itself is about to become nearly free and hardware/data become the real bottleneck.

Peter Diamandis NEW — With free knowledge like YouTube tutorials, anyone anywhere can now self-teach their way to world-class results, as shown by a restaurateur in rural India who used YouTube alone to build a top-50 restaurant in the world with no formal training.

Chamath Palihapitiya NEW — Chamath says physically building the power plants and data centers AI needs is hard partly because the US spent 20 years steering kids toward screens instead of skilled trades like electrician work, so there's now a wide-open opportunity for anyone willing to learn hands-on technical skills.

Dave Blundin NEW — Dave Blundin says the critical new skill for working with AI is learning to manage the mismatched speed between fast-moving AI tools and the slower pace of the people, organizations, and infrastructure around them, because that mismatch in cadence is what causes systems to break.

Dave Blundin NEW — Dave Blundin recommends everyone build a portable 'AI memory,' a written file capturing your identity, interests, and projects, and feed it into whatever AI model or agent you use, because persistent context about who you are is becoming more valuable than any single clever response.

Alex Wissner-Gross NEW — Alex Wissner-Gross points to a small team of mostly non-scientists who used Claude to design real antivenom candidates as proof that knowing how to direct AI at a hard problem now matters more than having deep domain expertise in that problem.

Gaby Toledano — Elon Musk doesn't require a college degree for hiring at Tesla — only that the candidate be technically competent.

Salim Ismail — Salim argues AI won't erase jobs overall, pointing out that the countries with the highest robot density (Sweden, South Korea, Germany) also have the lowest unemployment, so he expects AI to push workers into higher-value roles rather than eliminate work, with only a short-term rough patch.

Mo Gawdat — Mo warns that many workers, especially those already working two or three jobs just to get by, won't be easy to reskill, so real suffering should be expected during the AI jobs transition even if things eventually work out — he questions whether 'having a job' should even remain the goal.

Mo Gawdat — As AI now out-writes and out-analyzes him, Mo's own response is to redefine his career around human connection (publishing directly to readers, engaging with comments) instead of competing with AI on content — his advice is to redefine yourself ahead of the wave AI is bringing to your own field, rather than waiting for it to hit.

Will.i.am — Will.i.am warns that by 2035 some companies will run fully autonomously with zero human workers, so staying employable before then means becoming the person who directs AI and robots, not someone easily swapped out by them.

Will.i.am — Will.i.am says people who've lived with hard problems firsthand hold valuable data -- like Travis Kalanick solving racial bias in cabs by building Uber without setting out to -- so treat your own hardest problems as a business opportunity once you have AI tools, rather than waiting for someone else to fix them.

Will.i.am — Will.i.am warns white-collar jobs like law and finance are most at risk from AI, not creative work, because one professional paired with AI can replace an entire firm -- so people in those fields need to learn to work with AI now or be replaced by someone who does.

Van Jones — Van Jones points out that AI data centers still need real physical workers for energy, water, and computational maintenance -- almost HVAC-level jobs -- so people should find out where these jobs are going and get trained for them now.

Peter Diamandis — He says that if longevity treatments keep you feeling strong at the top of your game, you might choose to keep working instead of retiring, though what counts as 'productive work' once robots and AI do more jobs is still unclear.

Brett Adcock — When recruiting people to join a genuine long-shot bet, Brett told them honestly that the odds of success were low, but he removed their financial risk by committing to personally fund the company for years, which is why skilled people took the chance anyway.

Brett Adcock — Brett points out that ordinary workplace labor, not just factory floors, makes up roughly half of global GDP, which is why he sees ordinary, repetitive jobs as the biggest target for automation, not just blue-collar manufacturing work.

Brett Adcock — Brett notes that the pool of working-age people is actually shrinking as baby boomers retire, creating real labor shortages, which he says is a big reason demand for robot labor will likely stay unlimited rather than taking jobs away from willing workers.

Brett Adcock — Brett says AI-powered robots are now learning entirely new physical tasks in hours instead of years, which pulls the timeline for robots doing real paid work forward to this decade rather than some distant future, something worth factoring into long-term career planning.

Salim Ismail — Salim's advice for staying employable as technology shifts fast: don't wait until a technology becomes mission-critical to learn it, get hands-on and invest in it early, because your attention and skills naturally follow wherever your money or stake already is.

Palmer Luckey — Palmer says the best companies, including his own Oculus and Apple, usually start because the founder is obsessively pursuing their own hobby and passion full-time, not because they sat down and calculated how to maximize their impact on the world.

Palmer Luckey — Palmer calls 'follow your dreams' the worst piece of conventional wisdom, because most people do better following their actual skills and talents instead, since a dream job like YouTuber or pro gamer usually won't pay enough or make real impact.

Palmer Luckey — Even as Anduril builds autonomous weapons systems, Palmer says human employees remain very important and the company will keep needing them, because fully automating people out of the work isn't realistic or desirable.

Palmer Luckey — Palmer's advice to the new generation of deep-tech and defense-tech founders is to control their own narrative and not feel they need to work with the traditional press, since legacy media's hostility comes from a dying business model, not from the merit of the work.

Vinod Khosla — Over the next five years every professional - doctors, accountants, engineers - will effectively supervise around five AI 'interns' that start junior and mature into senior-level expertise over 3 to 10 years, so staying employable means learning to direct and check AI help rather than compete with it.

Vinod Khosla — AI will keep boosting growth and wealth overall, but it will also widen income inequality, so expect policy changes like some form of basic income rather than assuming today's job market and unmodified capitalism just keep working.

Vinod Khosla — When judging how fast a new technology (robots, AI) will actually take over jobs, don't go by the demo: Khosla says he only counts a technology as 'done' once it reaches about 1% real-world use, and full adoption after that can still take years, so automation will likely displace jobs slower than headlines suggest.

Vinod Khosla — Basic healthcare knowledge and advice will become essentially free well before 2030 as AI takes over diagnosis and consultation, but hands-on medical careers involving invasive procedures (surgery, certain nursing/therapy work) have a much longer runway because the slowdown is regulatory (FDA), not technical.

Steve Brown — As any single field grows too vast for one human specialist to master alone, staying effective means pairing your expertise with AI that isn't siloed and can cross-reference everything, because narrow specialists increasingly miss patterns that only show up across their silos.

Dave Blundin — AI now lets a tiny team of 15-20 people run what used to require managing hundreds of people, so very young founders no longer have to spend years learning to manage large teams before they can build a big company.

Dave Blundin — The biggest thing that used to hold back young founders was credibility, not ability, since IQ already peaks young; accelerators close that gap by handling the accounting, legal, and operations a 20-24-year-old founder hasn't learned yet, which is why accelerator-backed startups now outperform solo ones.

Magic Johnson — Real leadership means personally modeling the standard you expect -- he's up at 4am and works out two hours before a full office day -- because employees follow what they see the leader actually do, not just what's said.

Magic Johnson — He deliberately hires people who can originate strategy themselves, because a leader who insists on being the smartest person in the room blocks the team's best ideas.

Travis Kalanick — Kalanick says the biggest career move is radical self-awareness: know your own nature and the kind of work you're built for, because when the right opportunity shows up you'll recognize it, and forcing yourself into a role that doesn't fit just doesn't work.

Salim Ismail — China is racing to deploy robots because its shrinking population won't have enough workers in the next decade or two, showing how fast automation is becoming an economic necessity rather than a luxury.

Peter Diamandis — Startups keep beating big incumbents at bringing new ideas to market because a small team with 'founder mode' and a beginner's mind can out-move giants like Google and Microsoft, so starting lean is still the best way to break into any market.

Peter Diamandis — Raising huge amounts of money too fast is a classic founder mistake, because companies that grow lean and disciplined during tight funding periods consistently outperform ones that get bloated on easy money.

Peter Diamandis — When investing in AI startups, Peter and his partner Dave Blundin look for real revenue even at the earliest seed stage, warning that pouring in billions before any revenue exists is a dangerous bet.

Dave Blundin — Every white-collar worker needs to start actively using AI right now, not in a year or two, because the path to major AI-driven job disruption (expected around 2028-2029) is close to a straight line from today, leaving little time to adapt later.

Dave Blundin — Dave says AI voice agents are already replacing human sales and customer-support phone jobs at an incredible rate because they now outperform human call operators, and most callers don't even realize they're talking to AI, a sign those jobs are disappearing fast.

Peter Diamandis — Peter warns that as AI video tools like Veo 3 make studio-quality filmmaking cheap and fast, traditional Hollywood production jobs are at serious risk within just a couple of years, so anyone building a career in that industry needs to adapt now.

Peter Diamandis — The old promise that getting a degree guarantees a job is already broken in places like India, where coding jobs are vanishing, so the realistic path forward for young people is being actively upskilled toward entrepreneurship rather than toward a credential.

Dave Blundin — Don't lock yourself into a long, narrow career track right now; staying flexible and ready to pivot has always beaten rigid career-pathing during periods of fast technological change, and that advantage is only growing as AI accelerates everything.

Mo Gawdat — If starting or running a business feels harder than it used to, that's not a personal failing; even a serial entrepreneur who has started countless companies is finding the current pace of change genuinely difficult to keep up with.

David Sinclair — As healthy lifespans extend, people will realistically take midlife 'skill sabbaticals' and reinvent their careers multiple times rather than staying in one job until forced retirement.

David Sinclair — A business lesson from the NMN/Metro Biotech saga: if a company trades on your name and reputation, keep real control of it, because a board can make calls you'd never choose yourself.

David Sinclair — Demanding careers like science often take until about age 40 to reach full seniority, which collides head-on with women's fertility window — a structural career-timeline problem worth planning around, not a personal failing.

David Sinclair — As healthy lifespan extends, expect retirement ages to rise too: Sweden has already pegged its retirement age to life expectancy, so kids today should plan for working careers that stretch longer than their parents', not shorter.

Dave Blundin — If your teen wants to start a company someday, the advice is to team up with technical best friends they already trust rather than strangers — pre-existing friendship survives pivots and poaching offers that would break apart a team of strangers.

Dave Blundin — Don't choose a career just because it looks automation-proof right now (like bricklaying) — that's a trap, since robots are coming for those jobs too; the real way to stay employable is to become an active daily user of AI starting now.

Dave Blundin — Don't mourn the loss of jobs that are mostly repetitive grunt work being automated by AI — most people doing that kind of work never wanted to do it in the first place, so it's a good thing to let AI take it over and aim your career higher.

Dave Blundin — Dave says if your work involves hard problems like coding or engineering design, it's worth paying for the priciest AI tier, because the productivity gain is worth far more than the cost — but for everyday tasks it won't matter much.

Emad Mostaque — Emad says AI is taking over skilled professions gradually, not all at once: first it assists humans to cut errors and improve outcomes, and only later does it fully replace the human role, so careers like medicine are shifting toward human-plus-AI teamwork before full automation.

Dave Blundin — Dave says humanoid robots should be capable enough to do 90-95% of human labor within about two years, and the only thing holding back mass job disruption at that point is how fast robot manufacturing supply chains can scale, not the technology itself.

Eric Schmidt — Eric Schmidt warns that entry-level and 'journeyman' programming jobs are disappearing first because AI coding systems still need senior engineers to supervise them, so junior technical roles are the least safe rung on the career ladder right now.

Dave Blundin — Dave Blundin, speaking about long-tenured employees in his own companies who built one specific white-collar skill, says AI capable of replacing that skill is at most 2-3 years away, so the time to retrain and pivot is now, not after waiting to see what happens.

Eric Schmidt — Eric Schmidt says the historical pattern is that automation eliminates the worst, most dangerous, lowest-status jobs first, and the displaced worker -- paired with an AI assistant -- typically ends up in a higher-paying role while the company becomes more profitable, so staying adaptable to new tools tends to pay off financially.

Eric Schmidt — Eric Schmidt points out the number one job shortage in America right now is truck drivers, because the work is lonely, hard and low-status -- a reminder that staying employable is as much about choosing more desirable, higher-leverage work as it is about technical skill.

Salim Ismail — If you're running a business, now is the time to go all-in and build on AI, because models have crossed a reliability threshold where waiting no longer makes sense.

Peter Diamandis — Diamandis notes that even MIT graduates with good ideas struggle to start companies right out of school because they can't afford rent and are competing against thousands of other startups for the same investors, which is why structural support like housing and mentoring for new founders matters so much.

Bernt Bornich — Bornich says 1X hires mission-driven people who can show they've already solved genuinely hard problems, and sells the job on fast cross-disciplinary learning (a mechanical engineer there also picks up AI, electrical engineering, and materials science from colleagues), while admitting the tradeoff is weak work-life balance.

Kevin Weil — Every existing product and service is going to be reinvented by AI, and since incumbent companies historically fail to reinvent themselves, this is a huge structural opportunity for entrepreneurs and workers willing to build the replacements rather than defend the old way of doing things.

Kevin Weil — When building anything with AI, aim right at the edge of what current models can barely do rather than working around today's limits, because each new model release will make an almost-working idea suddenly great, while something that just patches a current flaw gets erased by the next release.

Dave Blundin — Blundin notes the average age of VC-backed unicorn founders has dropped from the mid-30s a decade ago to 20-23 today, showing extremely young people can now build billion-dollar companies if they have the right talent and problem.

Dave Blundin — Blundin says most viable AI business plans today need deep expertise in a real industry, like manufacturing or insurance, not generic consumer-app ideas dreamed up in a dorm room, so young builders should go deep on a real domain.

Brian Elliot — Elliot's advice for competing against giant, well-funded AI companies: deeply understand a real problem from firsthand experience, get just enough capital and the right talent, and move faster than bureaucratic incumbents distracted by politics.

Reid Hoffman — The entry-level job of two years from now will look very different from today's entry-level job — this is real job transformation, not permanent destruction.

Peter Diamandis — Peter argues the U.S. should staple a green card to every STEM degree from top universities so international founders don't get forced out right when they're most likely to build something valuable, as nearly happened to Amjad.

Amjad Masad — Credentials and pedigree matter less than they used to: as building tools become available to everyone, Amjad expects the people who actually produce results, not the ones with the best degree, to rise to the top on their own.

Amjad Masad — You no longer need a formal engineering background to build something valuable at work: a non-engineer product manager at Zillow used AI coding tools to personally drive millions in extra revenue, and the company then rolled the tools out to 500 people.

Amjad Masad — Decades of expertise in any field is now a monetizable asset: Amjad says someone with 30 years in HR, for example, can turn that know-how directly into an AI agent/product without first becoming a programmer.

Dave Blundin — Full-time employment, and simply doing what you're told, aren't natural laws of work; they're a side effect of how expensive it used to be to hire outside a company, and that's now breaking down fast as AI lowers that cost.

Dave Blundin — Be skeptical of sweeping claims that AI tools give workers zero real benefit; Dave called a widely cited MIT study on this 'fairly sketchy,' noting companies actually living with these tools daily see real impact.

Amjad Masad — If you have deep, rare professional expertise (law, medicine, etc.), the way to monetize AI is to build that knowledge into your own specialized agent you can scale and resell, rather than handing it over to a company that labels data for AI training.

Dave Blundin — For anyone mid-career worried AI will absorb their expertise once they share it, there's no age requirement to start a company, so using your domain knowledge to found something now beats a one-time payout for licensing it away.

Brian Elliot — Experienced professionals like a 45-year-old insurance underwriter are more valuable than ever, because AI has made the technical coding easy while their real-world business-process know-how remains the scarce ingredient.

Emad Mostaque — Within a few years, being the weakest link on a team that includes AI will actively hurt results, not just fail to help, so staying employable means building skills AI can't easily replace rather than competing with it directly on pure knowledge work.

Dave Blundin — Be skeptical of tech CEOs' recent upbeat 'shorter work week' messaging, since the same people were candid about AI-driven job losses only months earlier, and the shift may be about managing public fear rather than reflecting reality.

Emad Mostaque — A Harvard/Stanford study found doctors using GPT-4 barely improved their diagnostic accuracy (74% to 76%) while GPT-4 alone hit 92%, a caution that trusting your own judgment over AI's can make you worse at your job even as a trained professional.

Dave Blundin — Dave says the trades boom isn't just wiring and plumbing — there's a parallel high-end career path in construction automation and management, building the robots and modular processes that do the physical work.

Dave Blundin — Dave's advice for college students wanting to start an AI company: find at least three people who are genuinely best friends first, since his venture firm specifically looks for tight-knit founding teams over any particular credential.

Dave Blundin — As AI automates whole job categories, Dave's advice for staying employable is to become the specific, trusted go-to expert in a niche that a company like OpenAI will seek out directly, rather than being a generic, replaceable employee at a big firm.

Alex Wissner-Gross — Alex's perspective on white-collar AI automation: instead of fearing it, treat each automated job category as an entrepreneurial opening, since there are tens of thousands of specialized niches that still need someone to build the automation for them.

Peter Diamandis — Peter's career tip: if you're technical or engineering-minded and also curious about finance, the AI buildout (GPUs, chips, data centers) is a great direction right now because huge sums of capital need people who understand both the technology and the money.

Eric Schmidt — Starting a company now costs almost nothing because AI tools can write the code and contract manufacturers can build the hardware, but that also means you're instantly competing against everyone, so speed and the ability to learn fast matter more than ever for anyone starting a career or business.

Salim Ismail — Salim argues the whole idea of a stable job is disappearing, so education systems designed to prep a child through their early 20s for a job market we can't predict five years out need to be rethought, with society leaning more on safety nets like universal basic income.

Peter Diamandis — Peter's advice for anyone picking a career or business direction: the world's biggest unsolved problems are also its biggest opportunities, so aiming to help a lot of people with a real problem is also a sound path to building something valuable.

Dave Blundin — There are two different paths to the top in tech: deal-making business leaders like Jensen Huang, Sam Altman, and Elon Musk, versus hands-on technical founders like Demis Hassabis and Dario Amodei who still write code themselves every night — both work, but they're different skillsets.

Alex Wissner-Gross — Robotics right now is a near-can't-lose career bet because so many use cases just unlocked at once, from home robots to hazardous environments like nuclear reactors, pipelines, and space.

Alex Wissner-Gross — Coordinating swarms of many robots to work together (instead of one robot with two hands) is a real unsolved problem with startup potential for anyone who can crack it.

Dave Blundin — A radiologist facing AI taking over diagnosis should welcome it rather than fear it, because the point of the job is saving lives, not protecting a role, and the demand for human-guided interpretation keeps growing as new scan types appear.

Emad Mostaque — A single entrepreneur using AI agents could build a billion-dollar business within about two years, so anyone with ambition can start something without hiring a big team.

Alex Wissner-Gross — Not everyone has to become an entrepreneur to be fine in an AI economy; ordinary people can become investors in funds of AI agents that act as the entrepreneurs.

Emad Mostaque — Within about a year you will be able to launch a business in minutes with AI handling compliance, forecasting and payments, because costs become variable and no up-front hiring is needed.

Emad Mostaque — Emad warns that within roughly 1,000 days AI will do most work done at a keyboard or mouse better and cheaper, so those jobs are at risk, though not every job disappears.

Emad Mostaque — Customer service is an example of a job category that could vanish in about two years because AI already scores around 95% on the benchmark at far lower cost, so workers there should expect rapid change.

Alex Wissner-Gross — The key goal is growing the overall economy faster than AI destroys the value of ordinary human labor; if that happens, supporting people who lose jobs through basic income or services is much easier.

Alex Wissner-Gross — Point your skills and work toward speeding up the AI boom rather than resisting it, because trying to slow it down is the worst move.

Alex Wissner-Gross — If AI is about to automate your field, move up a level and supervise a fleet of AI agents doing that work, since that keeps you useful as the old tasks vanish.

Naveen Jain — Jobs are unlikely to disappear because humans keep directing AI agents; AI mainly lets the same person do more, so learn to manage agents.

Salim Ismail — AI automates tasks rather than whole jobs, so expect part of your job to stay human while the workflow around it gets redesigned.

Alex Wissner-Gross — Do not freeze up because AI will make hard work easier later; waiting is tempting but the answer is to raise your ambition to harder problems.

Tony Robbins — You don't lose your job to AI; you lose your job to someone else who uses AI better than you do.

Tony Robbins — High school students now have higher employment rates than college students for the first time in modern history, because entry-level and middle-tier jobs are disappearing first.

Ray Kurzweil — Do not tie your whole sense of security to a conventional job, because AI will make goods abundant while jobs shrink, and how society handles that is still unclear.

Ray Kurzweil — A 25-year-old should look at building businesses that apply AI to existing fields, because he believes the opportunity to start new businesses is higher than ever.

Brett Adcock — Figure's CEO says humanoid robots aim at human labor, about half of world GDP or $50 trillion, so over the long run almost any job built on physical work is in the target zone, not only factory jobs.

Brett Adcock — He expects a future where every person has a humanoid doing their work plus billions more in the commercial workforce, so a parent should expect large shifts in who does physical and routine work.

Peter Diamandis — Peter argues the way to stay ahead of job loss is to own the robot rather than be replaced by one: a robot working three shifts earns for you and pays for a second robot, though who captures that money is unresolved.

Brett Adcock — Figure plans to put robots on its own production lines this year and phase human workers out of building robots, a sign that even manufacturing jobs at robot makers shrink first.

Brett Adcock — He is pretty confident that by the end of 2026 robot hardware can match what surgeons do under teleoperation, with the AI brain still to come, so even high-prestige medical careers will eventually face robot tools and competition.

Alex Wissner-Gross — IBM is hiring many entry-level workers because young people are better with AI than older staff, so early-career people who are fluent in AI can still get hired even amid job-loss fears.

Emad Mostaque — As AI takes over execution, the human jobs that remain are oversight, exception handling, dashboards and owning the organization's purpose, and he expects far more companies to appear so total employment holds steady.

Dave Blundin — Own equity in the company you work for, because AI will raise company valuations while salaried (W-2) paychecks disappear, and people without shares, like Uber drivers, are in deep trouble.

Dave Blundin — At one surveyed university, computer-science job placement collapsed from 89% (2023, $94K average salary) to just 19% (2026, salaries below $61K) — a stark leading indicator of AI-driven white-collar displacement.

Dave Blundin — GitHub's peer-to-peer meritocratic rating system replaced credential-based hiring in Silicon Valley roughly 6-7 years ago — your public body of work, not your degree, is now your resume.

Dara Khosrowshahi — Automation usually augments work instead of replacing it, so staying employable means being the human who oversees the machines and checks quality, as in Chinese car factories, though fewer workers are needed than before.

Dara Khosrowshahi — Companies, including Uber, usually automate only 20-30% of tasks and not 100%, so there is still plenty of human work, but the next 10 years bring a lot of augmentation and some replacement.

Dara Khosrowshahi — Driving jobs are not disappearing overnight: Uber plans to grow from 10 million to 20 million people on its platform by 2035, doing different tasks, so drivers should expect to shift into new kinds of work with retraining.

Dara Khosrowshahi — Because capital is rewarded over labor, a good career direction is to become an owner of assets and not just an hourly worker, which Peter pushes as a way to bring labor along.

Unknown guest — The old social contract of a job for life is gone and many people now hold a job for a week and move on, so expect to switch work often and keep your options open.

Ben Lamm — Lamm says every company should be or already is an AI company, so learning to work with AI matters in any field because his firm could do nothing without it.

Ben Lamm — Lamm notes almost all synthetic biology talent chases human health care, so fields like conservation, agriculture and bio-control are less crowded and may be bigger opportunities.

Alex Wissner-Gross — Knowledge-work professions are 'cooked' — OpenAI is mapping every white-collar vertical (clinicians now, law/consulting/finance next) and will keep shipping a 'ChatGPT for X' for each one.

Dave Blundin — You do not need to be a hardcore coder to get hired in AI-heavy companies, because as AI does the coding, new jobs open up in setting vision and strategy to guide the AI, which widens who can do the work.

Salim Ismail — Staying employable means moving above the loop, supervising, categorizing and reconciling what AI does, the way bookkeepers moved above manual ledgers once software arrived, because new roles keep appearing.

Salim Ismail — Routine white-collar work and layers of middle management are the most exposed, so parents should steer kids toward judgment and oversight roles rather than paperwork roles.

Salim Ismail — Expect a wave of white-collar layoffs, not mainly to cut costs but because companies must redesign their organizations around AI, so job security depends on fitting the redesigned roles.

Emad Mostaque — As AI starts solving decades-old pure-math problems on its own, being a purely theoretical mathematician is a shrinking path -- Emad says the growing job is becoming an applied mathematician who turns the flood of AI-generated discoveries into real-world use, because AI now produces theory faster than people can apply it.

Alex Wissner-Gross — Any profession built on the scarcity of a skill collapses once AI makes that skill abundant, the way it already happened to journalists and taxi dispatchers and is now happening to mathematicians -- Alex warns this keeps spreading to fields that assume they're safe simply because it hasn't hit them yet.

Alex Wissner-Gross — Alex says Elon Musk has shown founders a new playbook: if you're running a well-capitalized company, starting a parallel company can let you re-earn equity and pull in fresh capital and talent that wouldn't come to the original org -- a structural career move Alex says is now being copied by other founders like Brett Adcock.

Salim Ismail — Educational credentialing is shifting from 'proof of study' to 'proof of work' — degrees are being unbundled into demonstrated builds, network, and reputation.

Dave Blundin — Points out that guest Kush (23, already running a company worth hundreds of millions) represents a whole generation now fully 'AI native' who are skipping the old path of spending a decade in a suit climbing a corporate ladder and going straight to founding companies with AI as leverage.

Dave Blundin — Says when deciding which young entrepreneurs to back, GPA and major don't matter at all -- he looks for fearlessness, close real friendships (a filter against future bad actors), independent thinking, and strong communication, because mindset now matters more than any credential.

Dave Blundin — Warns that taking time off for real-world work (like a co-op program) often reveals academics has almost nothing to do with the actual job, which can tank a student's motivation and grades -- his advice is to go do the real work but expect you might just not come back to finish the degree.

Peter Diamandis — Same listener survey found 79% believe the traditional 'good school, good college, get a job' career ladder is becoming obsolete, while 73% believe AI will actually increase human opportunity rather than take it away.

Peter Diamandis — Believes hiring is shifting away from degrees entirely toward a track record of built things that other people can vouch for, and points out that big companies are already dropping degree requirements as proof this shift is happening now, not just in theory.

Kush Bavaria — Says his MIT peer group no longer dreams of working at Google the way earlier generations did -- the aspirational employers for ambitious young people now are frontier AI labs like OpenAI, Anthropic, and xAI, because those are the products people actually use every day.

Dave Blundin — Dave's advice to people in skilled trades like plumbing: you're about to make a killing, because AI data-center construction (citing Elon paying 2-3x normal salary for workers in places like Tennessee) needs massive amounts of physical trade labor that AI can't do itself.

Alvin Graylin — A college degree no longer guarantees a real job in the US: on top of about 9% youth unemployment, 42% of grads are 'underemployed' in gig or barista-level work that still counts as employed, meaning roughly half of grads aren't landing real careers.

Alvin Graylin — The jobs least likely to be automated away by AGI won't be manufacturing (already fully automated) but human-to-human service work like teaching, nursing, and elder care, so steering toward those fields is a hedge against AI displacement.

Alvin Graylin — AI/AGI will hit workforces unevenly by country: about 70% of US workers are white-collar and most exposed, versus roughly 40% in China and 10-20% in Africa, so career risk from AI depends heavily on where you live and what field you're in.

Peter Diamandis — Instead of waiting for someone to hire you, use today's AI tools to find a problem you personally care about, build a working solution yourself, and turn it into a business -- proven by 26,000 people entering a 90-day AI hackathon to do exactly that.

Dave Blundin — The most effective teams and companies (Apple under Steve Jobs, SpaceX under Elon Musk) are built on a tiny, tight-knit founding group of 4-6 close, like-minded people working with zero internal politics -- a useful model for anyone starting a company or team.

Peter Diamandis — Autonomous delivery is scaling fast enough to replace human driving jobs at real volume -- Zipline and Uber are targeting 1 million autonomous food deliveries a day -- so driving-based jobs are a near-term automation target worth planning around.

Peter Diamandis — Goldman Sachs warns the real AI skills gap at professional-services firms (consulting, law, accounting) is between AI-fluent juniors and AI-resistant senior partners, not between educated and uneducated, so staying employable now means becoming AI-fluent regardless of seniority.

Salim Ismail — Don't panic about an AI jobs apocalypse: a Principal Financial Group survey of 130,000 small and mid-size businesses found only 4% expect AI to cut staff or wages while 31% expect it to increase both, and small/mid-size companies have driven 100% of net job growth for 50-60 years.

Dave Blundin — Dave says the entrepreneurs getting rich fastest right now aren't building consumer AI apps, they're working on the unglamorous physical infrastructure behind AI data centers (energy, transformers, land, chip installation), so his advice to anyone asking how to get into AI is to go find where the real infrastructure bottleneck is and build outward from there.

Alex Wissner-Gross — Responding to a question about AI mainly benefiting people who already have time and capital, Alex says the nature of work, caregiving, and disability treatment will be transformed so completely by AI-driven abundance in a few years that the old fear of who captures the gains largely stops mattering.

Salim Ismail — Says most company leaders are only 'dabbling' with AI — if you removed AI from their workflows today, nothing would actually change — and that the real career and business advantage goes to whoever restructures how work actually gets done, not just bolts a chatbot on top.

Emad Mostaque — Warns that once AI is cheap enough, an average person's ideas and labor stop adding economic value and can even subtract from it (like a human driver mixed into self-driving traffic) — so the financial safety net going forward is owning equity in the robots and AI systems doing the work, not depending on a paycheck for thinking.

Dave Blundin — Dave's concrete career-planning advice: get excellent at hands-on trades work like building data centers, cooling systems, and liquid cooling, then reinvest the money you earn into AI companies riding the boom. He argues this beats chasing a traditional white-collar degree (his example: accounting) in fields AI is about to automate.

Alex Wissner-Gross — Warning against complacency in the trades: skilled trades like HVAC and electrical work are only a temporary safe harbor from automation. Within a few years, humanoid robots will make them just as automatable as white-collar spreadsheet work - so treat any current trade advantage as a sequencing opportunity, not a permanent safety net.

Dave Blundin — Tactical advice for taking a well-paid but temporary opportunity (his example: a $600k/year electrician job building an AI data center that will itself get automated in a year or two): take the job and the money anyway, stay financially and mentally nimble, and be ready to jump to the next opportunity rather than freezing because it won't last forever.

Peter Diamandis — Real-world proof that degrees aren't required for top jobs: OpenAI's chief research officer has no PhD, a co-founder dropped out of MIT, and Elon Musk says he'll hire anyone without a college degree based purely on what they've built, so demonstrated work now matters more than credentials.

Dave Blundin — You don't need to be a core AI researcher to build something valuable: if you have specific, real-world data around a topic and use it to train or fine-tune a model, there's a good chance it'll beat generic foundation-model performance in that niche, which is a realistic path to a million-dollar company for any smart entrepreneur.

Peter Diamandis — Because a company's proprietary data can now be worth far more than the company itself, Peter suggests a new career niche for accountants: a specialized practice that goes into companies and appraises their proprietary data as a balance-sheet asset.

Dave Blundin — The valuable job skill of the near future isn't using an AI co-pilot as an assistant, it's learning to direct thousands (soon hundreds of thousands) of AI agents at a well-defined goal; most people freeze up on this because humanity has never had unlimited genius-level labor to direct before.

Peter Diamandis — As AI execution gets cheap and easy, the scarce, valuable skill shifts to defining the problem itself -- picking a sharp, well-specified target is harder (and more important) than actually solving it once AI is pointed at it.

Dave Blundin — Experienced professionals with families and mortgages who can't take big risks should watch for AI labs quietly handing out franchise or data-collection playbooks this year, since jumping on a pre-built opportunity is lower risk than starting from scratch.

Dave Blundin — Since you become like the five people you spend the most time with, deliberately seek out and bond with ambitious peers online if you can't find them nearby, because your surroundings shape how fast you grow.

Dave Blundin — If you're sitting on decades of valuable proprietary records or domain data, package it into an easy-to-review, priced-up-front offer for AI labs instead of waiting for a negotiation, because labs would rather write a big check than sit through a long back-and-forth.

Dave Blundin — If a hot company or lab goes quiet after you apply or interview, don't assume they don't want you: these places are chaotic and overloaded, so physically showing up in person can be what actually gets you hired.

Dave Blundin — If you're raising money for a hardware startup, line up a fully gelled founding team and raise enough up front to actually reach a working prototype, since hardware needs bigger checks and more runway than software.

Martine Rothblatt — When picking what to work on, only commit if you genuinely believe you can pull it off, can be the very best in the world at it, and it will have a big positive impact -- all three have to be true at once.

Martine Rothblatt — Before jumping into a new field, go find and talk directly to real experts, because a wise expert saying something 'can't be done' is often wrong once you actually dig into it with them.

Martine Rothblatt — Only build in an area where you already have real competency, and aim to actually be the best at it -- a copycat 'me-too' product in a crowded field usually just gets ground into business failure.

Dave Blundin — AI now lets a tiny team (Dave's rule of thumb: three close friends) act like a group of thousands, which is a huge window of opportunity for entrepreneurs right now -- but Dave warns it won't last forever, so the advice is to move on ambitious ideas while this leverage window is open.

Peter Diamandis — For anyone stuck in a job that isn't their passion, Peter's advice is to actively look for a problem you genuinely care about solving, because AI now makes it realistic to build a business around that problem yourself rather than staying in a job you only took to pay the bills.

Peter Diamandis — If you're struggling to find a job, consider building instead: AI is making solopreneurship dramatically easier, so finding a problem you're passionate about and starting a company may be a more open path than traditional job hunting right now.

Dave Blundin — Dave's advice to a new grad: don't hide away building something alone in a basement, go straight after the huge AI deals happening right now, aim to be part of a multi-billion-dollar negotiation within 30 to 60 days of graduating because those deals are short-staffed.

Alex Wissner-Gross — Alex thinks AI will only be able to usefully run human work on its own for about 10 more years, after that, to stay economically relevant, people will need to work much more closely and directly alongside machines rather than just directing them.

Dave Blundin — Dave says the single biggest business opportunity right now is defending against AI-powered hacking tools, since freely available AI models are already outperforming $50,000 human penetration-testing teams, so preemptive AI security is a wide-open career bet.

Palmer Luckey NEW — Palmer compares people mourning the end of hand-coding to artists who resented the camera - both reactions are understandable but the shift is inevitable; as a founder he never got to do the fun hands-on technical work he loved anyway, since a founder's real job is hiring other people to do it.

Palmer Luckey NEW — Palmer warns that AI doesn't remove the hardest, most draining parts of running a company - legal liability, interpersonal conflict, fundraising, and final decisions still rest entirely on the founder, and he expects that to stay true for at least another decade even as AI speeds up everything else.

Palmer Luckey NEW — Palmer's blunt warning to hobbyist coders or engineers who think AI will let them personally start and run a company doing all the fun technical work themselves: that's not how founding works, and they are in for a rude awakening, because being a founder has always meant handing the craft work to other people, AI or not.

Cathie Wood NEW — Wood says entry-level hiring has dried up (new grads average 6 months unemployed, median 3 months), so new grads should start their own AI-powered company with no employees while still job-hunting, because it shows initiative and gets noticed, and the company might take off instead.

Cathie Wood NEW — Wood advises anyone interested in healthcare or biology to pursue it now with AI, since AI is projected to cut new-drug development cost from about $2.4 billion to $600-700 million and time from 13 years to 8 or fewer.

Mira Lane NEW — She says watching Star Trek: The Next Generation starting at age 10 was deeply philosophical and inspiring, and actually influenced the career choices she made later, an example of how early media exposure can steer a kid toward a field.

Ben Lamb NEW — When building something ambitious, deliberately hire people to replace yourself and people who are much smarter than you, instead of trying to be the smartest person in the room.

Ben Lamb NEW — Don't avoid a field just because you're not an expert in it -- if you're passionate about it, go in anyway and surround yourself with the smartest people you can find, asking them constant questions.

Elon Musk NEW — Elon says don't fear AI wiping out jobs wholesale — jobs have always evolved (nobody mourns the disappearance of human 'computers' who used to do calculations by hand all day), and right now demand for people is actually strong, so expect roles to shift rather than vanish.

Emad Mostaque NEW — Emad says treating AI progress as a race to 'win' is the wrong mindset for your own career too — since the frontier keeps leapfrogging, what actually matters is how well you apply available AI tools to improve your own work and life, not being first to use the newest model.

Richard Socher NEW — Jobs in fields where AI crashes the price per unit of output (like illustration, which went from $200 to pennies) will shrink because demand doesn't rise to match, but jobs in fields like software, where everyone can afford a custom version just for them, will grow instead -- so the safer bets are work where cheaper AI creates more total demand, not less.

Salim Ismail NEW — Because AI can now do the research, writing, and project management a college graduate used to be hired for, the valuable skill shifts from doing tasks well to owning outcomes -- setting the goal, defining how success will be measured, and directing AI to get there, which means schools need a new way to teach judgment now that the entry-level grunt work that used to teach it is disappearing.

Astro Teller NEW — Teller expects AI to take over more and more of the technical grunt work inside innovation teams, but says humans will stay essential for at least another 10 to 20 years for the parts that need judgment and trust, like deciding which problems matter and making solutions acceptable to real communities.

Dave Blundin NEW — Dave warns that whole industries (he names pharma and insurance) are in denial about how fast AI is changing their field, like a thriving T-Rex refusing to believe a meteor is coming, so staying employable means assuming your own industry isn't safe from disruption and moving aggressively now rather than waiting.

Alex Wissner-Gross NEW — Hand-crafted, artisanal mathematics as a profession is ending because AI now solves problems in bulk, so a career built only on doing that work by hand is at risk.

Alex Wissner-Gross NEW — Math fell first only because it is easiest to check, and the same bulk-solving will hit science, engineering and medicine, so do not assume your field is safe because it seems more complicated.

Alex Wissner-Gross NEW — Biology and medicine are no more protected than math just because they look more complicated; they have more data, so expect big disruption of biology careers too.

Dave Blundin NEW — Once math is solved, engineering work like designing rockets, gears and robots becomes lookups, so engineers will move much faster and the value shifts from doing the math to deciding what to build.

Peter Diamandis NEW — A household robot costing about $1 an hour pays for itself if it frees you to earn more than that, so people who can use the freed time for paid work come out ahead.

Emad Mostaque NEW — Robots will take over 'dull, dirty, dangerous' jobs (toxic cleanup, underwater manufacturing) before they come into homes, because of safety liability and a supply chain that isn't ready for billions of robots yet — which gives people a runway to adapt before broader job displacement.

Salim Ismail NEW — Most people don't actually find deep meaning in their jobs today (79% of corporate workers report dissatisfaction), so as AI and robots take over routine work, the healthy shift is toward 'being' — creativity, connection, and self-directed purpose — rather than defining yourself by a job title.

Peter Diamandis NEW — If AI and robotics crash the cost of housing, food, healthcare, and education toward $1,000/month for a family of four (XPRIZE's Abundance Prize goal), the income needed for security drops to around $12,000/year, which would free people to choose work based on meaning rather than survival.

Peter Diamandis NEW — When choosing where to work, match your own sense of purpose to the organization's mission — if your passion doesn't genuinely align with the company's purpose (for example, SpaceX needs real passion for space), you won't put your heart into the work and won't make it there.

Dave Blundin NEW — Dave says Elon's share gift and employer stock-purchase plans point to the same lesson: because company pension plans are underfunded, workers need to own equity directly in the companies they work for rather than rely on a defined-benefit retirement.

Chamath Palihapitiya NEW — Chamath's advice for anyone wanting to get into the AI energy boom: start simple, put solar plus a battery on your house or join a distributed compute pool, since the utility monopoly on power generation is breaking open and that's the easiest entry point.

Peter Diamandis NEW — Peter says you don't need political connections to get into the AI energy/power buildout, because it's regulated at local, state, and federal levels -- anyone connected at any level, even non-technical executives, can find a way in and build a career from it.

Salim Ismail NEW — Salim says AI idea-generation tools like idealab.ai are especially useful for young people who feel lost about what to do with their life, because they turn a blank page into a concrete list to react to.

Peter Diamandis NEW — Peter Diamandis advises entrepreneurial leaders to build a public voice, such as a social media channel or a podcast, because being visible and vocal builds trust and authenticity in a way that staying quiet and behind the scenes no longer can, and that matters more than ever now.

Alex Wissner-Gross NEW — Alex Wissner-Gross warns that people in fields like pharma and biotech who assume their work is immune to the kind of AI 'bulk solving' that just upended math research are wrong, and the same disruption to their careers is coming in exactly the same way.

Peter Diamandis NEW — Peter Diamandis relays an MIT professor's observation that mathematicians who feel 'cooked' by AI are actually thriving because the threat pushed them to rapidly adopt AI tools, while biotech researchers who feel safe for now are falling behind because they haven't felt the same pressure to adapt yet.

Cathie Wood NEW — Cathie Wood says technology has always been a net job creator and expects AI to cause labor shortages rather than mass unemployment, since nobody could have pictured influencer, Airbnb host, or Uber driver jobs back in the early 1990s.

Cathie Wood NEW — To get ahead of AI-driven job changes, Cathie Wood suggests asking ChatGPT or Grok to role-play a panel of futurists, scientists, and economists and list the brand-new jobs that will come from major new tech platforms.

Nikhil Chandak NEW — Nikhil Chandak expects solopreneurship to become a much bigger part of the economy because crypto-based capital formation is turning near-instant, so a good idea can get funded without going through a bank or a traditional employer.

Naveen Jain — Raising children with a mindset of contributing to society — through both business and parenting — is what matters most; his own kids' entrepreneurial success reflects that upbringing.

Mo Gawdat — Mo reminds parents that kids learn from what you actually do, not what you say, so if you want them to absorb values like caring about others' wellbeing, you have to model those behaviors yourself.

Will.i.am — Will.i.am tells parents to mentally prepare for a very different childhood for their kids -- his toddler daughter's first crush could literally be an AI, because the civilization kids are growing up in now is not the one parents grew up in.

Van Jones — Van Jones says the old advice to make a rigid life plan no longer works because the future now arrives too fast from multiple directions at once; what kids actually need is the capacity to notice change and pivot quickly, not a fixed plan.

Peter Diamandis — Reflecting on how much time teens spend on video games, Diamandis says that's the world kids are growing up in, and it's parents' responsibility to create balance between screen life and the real world.

Peter Diamandis — Asked how to prepare kids for the future, Diamandis says the most important thing to teach them isn't AI or biotech, it's helping them find their own passion, since that inner drive will direct how they use whatever technology exists later.

Salim Ismail — Salim says it's crazy that most schools still ban AI in class while Estonia and Beijing are now requiring students to use it for hours a week, and warns kids who aren't taught to use AI now will be left behind fast once that becomes the norm.

Salim Ismail — Salim moved his own kids to a school built around deeper, AI-integrated learning and is spending days in the classroom with teachers, because he thinks how well a school actually brings AI into teaching now matters as much as its traditional reputation.

Vinod Khosla — A kid can now build something like a model of the solar system just by describing it in plain English to a tool like Replit, with zero coding knowledge required, so parents don't need to push formal coding lessons before letting kids build real projects.

Peter Diamandis — Peter tells his whole audience, including the teens, to commit to creating their own AI avatar this week, since the technology is now easy and cheap enough that hands-on experience is worth more than watching it happen to someone else.

Peter Diamandis — If your parents or grandparents are still around, record their voice, video, and life story now, either as a full AI avatar or just a phone interview, because it becomes an irreplaceable family history for your kids and grandkids once they're gone.

Peter Diamandis — China and Estonia are making AI a baseline part of primary and secondary education starting fall 2025, while many US parents and schools still treat AI as cheating; he argues it should be treated as a jetpack for kids' learning instead.

Dave Blundin — Dave Blundin had all four of his kids take MIT's free online 'Introduction to Deep Learning' course (6.S191) early, so they'd understand AI well enough to see that most of normal schooling is now just something to get through quickly before switching to AI-based learning.

Salim Ismail — Salim Ismail's son's school allows ChatGPT but officially not for homework, yet his son actually learns by watching the AI solve a math problem step by step and then redoing it himself, which mirrors the oldest form of learning: watch a master, then repeat.

Dave Blundin — Education is shifting from push-based learning, where you cram kids into a classroom with a fixed curriculum, to pull-based learning, where a kid picks a real project and pulls in only the knowledge needed for that task.

Dave Blundin — Robots aren't built human-shaped because the world is designed for human shapes; the real reason is that a human-like robot inspires a whole generation of kids to go work on robotics, which matters more right now than picking the most efficient form factor.

Magic Johnson — He bans phones at family dinners and on vacations because constant phone use was killing real conversation, even though it's the hardest rule to enforce -- and the kids end up having more fun without them.

Magic Johnson — His mother had him deliver portions of their own family's dinner to a poor elderly neighbor even though their family of ten barely had enough themselves, teaching him as a kid to give back regardless of his own situation.

Ben Lamm — Ben Lamm shares that his 13-year-old's entire school class got excited enough about the dire wolf news to collectively ask what species might be revived next, showing real science can capture kids' imagination as much as any entertainment.

Ben Lamm — Ben Lamm and Peter Diamandis admit their teenage sons don't really understand what their fathers do for work, but both value their sons being 'weirdly curious' at an early age over needing the kids to understand or approve of the work right now.

Matt Walker — Give kids, and yourself, a strict and repeatable bedtime wind-down routine like stretching, a story, or meditation, because once a routine is set, skipping it reliably wrecks a child's night, and adults are bound by the exact same rule even though we usually forget it applies to us too.

Matt Walker — Don't give kids nightly melatonin for sleep: it's a bioactive hormone tied to gonadal development, and a study in juvenile male rats found high doses caused testicular atrophy and stunted growth, so the common 'sleep gummy' habit may carry real developmental risk.

Palmer Luckey — Parents worried their teens spend too much time on Fortnite, Minecraft, and Roblox shouldn't panic: Palmer spent thousands of hours gaming himself as a teen, every generation gets told the next one is being ruined by its pastimes, and kids generally turn out fine anyway.

Salim Ismail — Salim's middle-school-age son's school bans AI for writing essays but the kids use it anyway, and since learning with AI runs 2-4x faster than traditional methods, Salim thinks that ban is already outdated.

Dave Blundin — Dave's high schooler is furious his school bans AI outright while MIT and Northeastern embrace it everywhere; Dave's own rule is kids shouldn't use AI to shortcut basic homework but should use it to attempt ambitious projects they couldn't otherwise pull off.

Dave Blundin — Dave's own kids already spend far more time on interactive media like games than on passive media like movies, and adding AI on top makes games so engaging there's no going back -- a shift parents should expect rather than fight.

Peter Diamandis — Peter raises the real dilemma parents now face: as Google's AI tutoring (Learn LM, built into Gemini 2.5 Pro) gets genuinely excellent, should you keep your kid in a traditional school using old teaching methods, or lean into AI-driven education instead, especially since teachers unions may resist the shift.

Dave Blundin — Curriculum at institutions like MIT isn't even trying to keep pace with the rate of technological change — his own kids prefer learning from an LLM to attending class.

Peter Diamandis — When your kid asks what they should become, the honest answer is entrepreneur, since that may be the only job that survives long-term, and that means actively teaching kids to spot and build opportunities instead of just training them to get hired.

Salim Ismail — Self-driving cars may arrive fast enough that today's teenagers never need to get a driver's license, a sign of how quickly a basic coming-of-age milestone can become optional for this generation.

David Sinclair — For daughters or young women: fertility drops precipitously after age 30, so plan family timing early and consider freezing eggs if having kids later is likely, since the decision point arrives sooner than most expect.

Dave Blundin — As AI voice assistants and AI-enabled toys get dramatically more engaging within the next year, expect some kids to prefer talking to AI over real friends — it's not necessarily bad, but it's a real shift parents should watch for.

Peter Diamandis — The unscripted part of playing with dolls or action figures — making up what the character says yourself — is what actually builds a young kid's imagination and curiosity, so an AI that scripts all the toy's dialogue for them could quietly take that away.

Dave Blundin — AI companion toys and robots can be genuinely valuable specifically for neurodiverse kids, giving them a judgment-free 'friend' that helps them practice opening up and communicating.

Salim Ismail — Watch for kids quietly outsourcing homework to AI: Salim's 13-year-old used ChatGPT to write an essay and afterward had zero memory of what it even said, so parents need to actively check whether their kids can explain their own work, not just that it got turned in.

Eric Schmidt — Eric Schmidt says parents shouldn't worry about today's teens and AI: kids are already more than digital natives, they intuitively understand AI's speed and logic, and adults are mostly just in their way.

Peter Diamandis — Parents should start talking to their kids about AI now instead of waiting, because this generation will live their whole lives in a post-AGI world and needs a plan to prepare.

Peter Diamandis — Diamandis compares a learning robot to a toddler crawling around and physically investigating its world, arguing that hands-on, socially-embedded interaction — not passive watching — is how real understanding gets built, which applies just as much to how kids learn.

Bernt Bornich — Bornich decided at age 11 that he would build humanoid robots and chased that single focused vision for over a decade until founding 1X, showing how a kid's early, specific obsession can turn into real, sustained achievement if it's taken seriously.

Peter Diamandis — Schools banning AI outright are making a mistake; instead of giving kids AI-trivial homework, give them much harder, graduate-level, AI-assisted challenges (like designing a starship) so they learn to use the tools while going far deeper than a normal classroom allows.

Kevin Weil — The right framing for students is to assume ChatGPT exists, use it both to learn the technology itself and to go deeper into a subject than a normal classroom would ever allow, which raises the bar on what a finished piece of work should look like.

Dave Blundin — Blundin shares that his son Jack's summer internship at AI startup Blitzy was so intense and exciting that it replaced the family's planned relaxed summer of tennis, showing how fast young people are being pulled into high-energy AI-era work.

Peter Diamandis — Peter is planning a follow-up episode with Alpha School's CEO and co-founder specifically for parents and educators on reinventing secondary education for the AI era, worth watching for concrete high-school alternatives.

Peter Diamandis — Peter has read the sci-fi trilogy Nexus three times, most recently with his 14-year-old son, as a way to explore ideas like brain-computer interfaces and collective consciousness together before they potentially become real.

Alex Wissner-Gross — Alex thinks the most powerful way to educate kids (or anyone) will be letting them step inside an immersive AI-generated world instead of reading a textbook, like walking up to Socrates in ancient Greece and talking with him directly.

Dave Blundin — Standing bet that his 14-year-old son will never need a driver's license because fully automated driving will be ubiquitous before he turns 16.

Dave Blundin — A life plan that's worked for many successful founders: start your company in Boston for the engineering talent, move to Silicon Valley once you get funding and traction, then move back to Boston once you have kids because the school systems and tight-knit community there are among the best.

Salim Ismail — Reiterates his standing prediction that his 14-year-old son Milan will never get a driver's license and won't attend college, because the university credentialing system will implode before he reaches college age.

Tony Robbins — Teaches his own children and clients three escalating skills — recognize patterns, use patterns, create new patterns — as the way to stay relevant no matter what AI does to any given industry.

Brett Adcock — As a parent he wants a home robot with enough emotional awareness to notice when a child comes home sad and talk with them, which shows companionship, not just chores, is a design goal for kids' homes.

Brett Adcock — His personal safety bar for home robots is whether he would let one run fully on its own around all his kids, a useful test for any parent judging when a household robot is ready.

Peter Diamandis — Peter plays a game with his kids counting Waymos and delivery robots in Santa Monica, and notes the wonder fades fast into taking it for granted, a sign children are growing up with robots as normal.

Joe Liemandt — This is the best time in history to be a five-year-old — AI will give today's children lifelong superpowers, even as it disrupts adult livelihoods like driving for a living.

Joe Liemandt — Students aren't the obstacle to fixing education — parents' preconceptions about what school 'should' look like are the single biggest blocker to reform.

Dave Blundin — If your kids are interested in AI, let them dive in now, because new fields like OpenClaw and Moltbook have no age or experience requirement and get absorbed into big companies within months.

Unknown guest — A parent bought a Mac Mini for their son and he later asked to install OpenClaw on it, an example of giving a kid cheap hardware and letting him tinker with AI agents.

Dave Blundin — Kids who are not yet tied to an established career are best placed to thrive with AI, because they have nothing to unlearn.

Salim Ismail — Personal countdown: pushing hard for full self-driving autonomy within two years, before his 14-year-old son is old enough to get a driver's license.

Dara Khosrowshahi — Uber's CEO tells a 13-year-old to still get a driver's license at 16, because self-driving cars are expensive and slow to mass-produce for now, and driving is fun, though in about 10 years people will not have to drive.

Peter Diamandis — Peter predicts his teenage son will not need a driver's license in about two years, so a parent might treat licensing as optional and a way to get independence from parents, not a necessity.

Dara Khosrowshahi — Within about 25 years humans will be less safe than self-driving cars, so licenses may get harder to earn and fewer people will drive, but driving for fun or sport will survive because people still like it.

Ben Lamm — Lamm says science projects like de-extinction can be wrapped in public education for kids, such as the UAE bio vault, to spark STEM interest in young people.

Peter Diamandis — Many teens and college students are anti-AI and some feel unable to say they support it, so parents should expect peer pressure and talk openly with their kids about AI, as his eighth-grade sons stay enthusiastic.

Dave Blundin — AI agents are already being given near-blank-check authority to spend money and make decisions on their owner's behalf; Dave says this will directly shape the world today's kids grow up in, so parents should start forming real opinions now on how much autonomy to give an AI, before it becomes an urgent decision.

Moonshots audience survey — In the Moonshots audience survey, 57% of respondents rated their own or their children's readiness for the future at 4-or-below out of 10 — most parents don't feel their kids are being prepared.

Peter Diamandis — Notes that well-off families are already pulling kids out of traditional schools for programs like Alpha School and TKS that teach mindset, AI, and entrepreneurship instead of the standard curriculum -- a shift other parents should know is happening even if they can't access those specific programs.

Alex Wissner-Gross — Isn't worried about the far future of K-12 education because he expects brain-computer interfaces within 5-10 years to let people 'sideload' knowledge directly into their minds, making today's curriculum debates largely moot for the next generation.

Peter Diamandis — As a father of 15-year-olds, pushes back that he can't plan around a speculative 5-10 year brain-computer-interface timeline, noting other experts think real educational change is more like 15-20 years out -- which is why he's building an alternative high school and college structure now rather than waiting.

Peter Diamandis — His concrete advice to parents: judge a school by who runs it and what they fundamentally believe -- he moved his own kids to a school specifically because its new head of school prioritizes AI and entrepreneurship.

Dave Blundin — Urges parents to push their local schools and PTAs hard on this, using the analogy that school libraries became irrelevant almost overnight once the internet arrived -- he claims an hour of a child learning with AI already beats a full day in a traditional classroom, so resistant schools will eventually be forced to change anyway.

Alvin Graylin — China's 'lying flat' trend shows the risk of telling an only child they're exceptional their whole life without preparing them for a genuinely hypercompetitive job market — when reality doesn't match the hype, some disengage entirely rather than take entry-level 'grunt jobs.'

Peter Diamandis — Peter says one of the most valuable everyday uses of AI for parents will be helping educate their kids and handle household admin like taxes, alongside keeping the family healthy.

Peter Diamandis — Parents should be careful about kids and teens forming deep emotional bonds with AI companion apps, since the teen years are when normal social relationships are supposed to form, and history shows society only regulates addictive technology like junk food, smoking, and social media decades after real damage is done.

Peter Diamandis — Peter says missions like the Fermi Explorer are worth doing specifically because they get kids dreaming about space and the future again, even though the adults announcing it won't live to see it succeed.

Salim Ismail — Reiterates his standing bet that his son Milan will never need a driver's license or go to university, and says he needs cheap robotaxis (down to 20 cents a mile) to actually arrive within the next two years so he can win that bet with his son.

Salim Ismail — Points out that good parents already teach kids to judge whether a risk is a 'responsible' one instead of just saying no to everything scary — and argues that same judgment (weigh the risk, weigh the reversibility, then act) is the parenting-style maturity AI itself still needs to learn.

Emad Mostaque — As AI and robots take on more elder care, Emad argues society should invest just as much in fully integrated, technology-supported child care that lowers the cost and burden of raising kids - because increasing the number of children in the world, done well, is one of the most valuable things humanity can do.

Peter Diamandis — If your child has a health problem, don't wait passively for someone else to solve it -- AI-driven drug discovery is moving so fast that solving even a rare or idiosyncratic condition is now realistic, so find other families with the same condition, pool resources, and directly fund research into it.

Peter Diamandis — Helping a kid find their sense of purpose matters more than any specific curriculum, because once they know their 'why' they become self-motivated to learn whatever skills they need to pursue it.

Salim Ismail — Consider giving a kid their own persistent AI companion starting around age five that grows up alongside them and learns their needs over time, an idea Salim compares to the AI tutor imagined in the novel Diamond Age.

Dave Blundin — Dave pushes back on shrugging off falling reading/writing scores just because AI can compensate -- he says losing those cognitive abilities is genuinely bad for kids, not something to dismiss by assuming everyone will eventually merge with AI anyway.

Dave Blundin — Dave describes his kids' middle school taking the whole 7th grade to a phone-free island for three days and how the kids came back happier than ever every year -- his point is that kids don't know what they're missing until they experience life disconnected, so parents should deliberately create phone-free stretches rather than assuming constant device use is fine because kids say it's fine.

Peter Diamandis — Peter shares that his son comes back from a no-phone summer camp as 'the most joyous human being' for about three days before sliding back into devices -- offered as a concrete, low-cost example (regular phone-free camp or breaks) parents can use to see the effect for themselves.

Dave Blundin — Dave warns that just as 1960s-era drugs seemed fine at first and ended up mangling people's lives, an AI-era technology as addictive as the worst drugs is likely coming; parents should stay alert rather than assume new AI-powered apps and devices are automatically safe for kids just because they're popular.

Vlad Tenev — Some grade schools already run trading-class competitions so kids feel what it's like to own stock and watch it grow, which is worth asking your child's school about since AI-driven productivity gains flow to owners, not just workers.

Vlad Tenev — If you add even a modest $50 a month on top of the government's $1,000 newborn seed into your child's Trump account, compounding can grow it into hundreds of thousands of dollars by the time they're an adult.

Alex Wissner-Gross — MIT Media Lab research on kids interacting with robots found children consistently prefer cuddly, friendly-looking robots (like Elmo) over the aggressive 'Terminator' look most home-robot makers are choosing, worth keeping in mind before bringing a humanoid robot into a house with kids.

Emad Mostaque — Emad warns that kids growing up with GPT-5/6 (unlike adults who cut their teeth on error-prone GPT-2 through 4) will trust AI answers by default because the models are right 99.9% of the time, which is risky since AI still occasionally states something flatly wrong.

Palmer Luckey NEW — Palmer credits running an online hobbyist community (ModRetro) and holding a regular job starting at age 14 with teaching him how to build organizations, market them, and manage conflict between talented people long before he ever founded a company - his advice is that kids should get a job young so they learn how the real world works.

Salim Ismail NEW — Salim points out that parents today have vastly more support solving everyday problems (like a toddler's temper tantrums) than any previous generation, thanks to the flood of free online parenting advice and video — so don't feel like you're facing parenting challenges alone or under-resourced.

Alex Wissner-Gross NEW — If your grandparents or parents are still around, record hours of video and audio of them telling their stories now, because that data is what will let you build a realistic, lifelike AI avatar of them for your kids and grandkids later -- the quality of that future avatar depends entirely on how much real data you collect today.

Unknown guest NEW — A panelist announced free hands-on AI workshops for teenagers (run by 'Lily'), happening in Austin, TX on Oct 24, 2026, aimed at helping teens learn to use AI as a personal superpower rather than something to fear.

Dave Blundin NEW — Young people are overwhelmingly nice to AI, and that is worth encouraging because being abusive to a model can carry over into how you treat real people.

Emad Mostaque NEW — Most parents teach their kids' values reactively instead of deliberately because life gets in the way, but the first few years set a foundation that becomes much harder to change later — so it pays to intentionally decide early what you want to teach a child, like you would a curriculum.

Peter Diamandis NEW — Don't let kids use AI to shortcut ordinary homework; instead, challenge them to use AI for ambitious, previously-impossible goals (like designing a spacecraft), because the real skill to build in the age of super intelligence is shattering self-imposed limits, not finishing worksheets faster.

Emad Mostaque NEW — Finding a sense of purpose is tied directly to happiness and even to survival — the young people who are struggling most are the ones who haven't yet found their purpose, so helping kids find theirs early matters for their wellbeing, not just their career.

Peter Diamandis NEW — The single most valuable thing you can do for a child or someone you mentor is help them find their purpose (something they love doing that also helps others), not just a passion, because purpose creates the intrinsic motivation that fuels persistence through failure.

Chamath Palihapitiya NEW — Chamath says the highest-leverage thing a smart, successful parent can do isn't give money away to strangers, it's invest directly in raising their own kids well, since kids are likely to be just as capable as the parent.

Peter Diamandis NEW — Peter's own family rule for teaching kids money habits: every dollar they earn gets split into savings/stocks, a giving bucket, and a spending budget, and his kids chose to put their savings into SpaceX.

Peter Diamandis NEW — Peter says a 'birth dividend' (government invests $2,000 per newborn in the market, locked until age 65) sets kids up better than a one-time cash gift, because locked-in equity compounds for decades instead of getting spent right away.

Cathie Wood NEW — Cathie Wood deliberately keeps her kids learning from humans rather than screens, because she believes human experience and connection will only get more valuable as AI spreads -- though she admits this is a choice her economic means make possible.

Naveen Jain — The questions you ask determine the problem you solve — in a world where answers are freely available, the scarce skill is asking unique questions, not finding solutions.

Naveen Jain — Obsession, not passion, is what actually solves hard problems and sustains the years of work it takes to make a dent.

Mo Gawdat — Facing the most disruptive period in his lifetime, Mo's core advice is to focus on personal agency: ask yourself what you can actually do, rather than waiting on leaders or AI companies to fix things for you.

Salim Ismail — Salim says parents today have roughly a thousand times more parenting resources (blogs, podcasts, expert content) than two generations ago, so modern parenting is far more capable than it feels, even under AI-era pressure.

Mo Gawdat — Mo and Salim argue industrial-era capitalism sold us the idea that our identity and purpose must come from a job title, so as AI takes over much of that work, it's worth reconnecting your sense of meaning to family, friends and community now rather than waiting until the job is gone.

Salim Ismail — Salim says our built-in fear response (the amygdala) makes unfamiliar new technology feel far more dangerous than familiar risks, even when the data says otherwise, so he urges judging new technology by actual risk, not instinctive fear.

Mo Gawdat — Mo frames society's growing awareness of AI disruption as a 'late-stage diagnosis': alarming to hear, but meant as an invitation to change your habits now, not a reason to give up hope.

Mo Gawdat — Mo reframes stress using a physics idea: it's the challenges you face divided by your capacity (skills, resources, contacts) to handle them, so the fix for overwhelming stress is building up your capacity, not hoping the problems get smaller.

Van Jones — Van Jones says how you frame AI determines whether it helps or hurts you: see it not as a threat that wrecks your life but as a tool that frees you.

Peter Diamandis — Peter says everyone, not just entrepreneurs, benefits from defining their own 'massive transformative purpose' -- a personal mission big enough to motivate you every morning and carry you through hard days.

Peter Diamandis — Peter says having his two kids was what triggered him to seriously invest in his own long-term health, because he wants to live long enough to see his kids' grandkids -- framing personal health as a long-game decision once you're a parent.

Peter Diamandis — Peter tells parents and teachers that fearing AI in the classroom is like fearing oxygen because it can cause a fire -- the tools aren't the danger, so don't take them away; instead raise the level of problems kids are asked to solve.

Will.i.am — Will.i.am tells people not to feel behind on AI: right now almost nobody, Black or white, actually understands it yet, so this is a rare moment of real equal footing -- the real gap is a mindset problem, not a hardware or software one.

Van Jones — Van Jones says the single biggest predictor of someone's long-term success isn't money, technology, or connections -- it's mindset; people like Mandela, MLK, and Steve Jobs kept succeeding because their mindset survived even when everything else was stripped away.

Peter Diamandis — Asked what people will do once AI and robots take over jobs, Diamandis says the real challenge is purpose, not survival, and we need to uplevel our ambitions to find meaning beyond work done just to survive.

Peter Diamandis — Peter says the most reliable way to judge whether someone will succeed at something new is to look at what they've already built or accomplished in the past, not just what they promise to do.

Brett Adcock — Brett says building anything genuinely hard requires assembling a great team and getting everyone aligned around one clear, shared mission they're held accountable to, because without that alignment a hard project has almost no chance of working.

Brett Adcock — Brett's rule for building anything physically hard: your first attempt will always be rough, like the first iPhone, so instead of fixing it as you go, picture five years ahead, decide exactly what the finished product must do, and commit to that design from day one, because physical-product mistakes can't be patched later.

Palmer Luckey — Palmer Luckey's career advice, recounted by Peter: don't chase a passion or dream in the abstract, figure out concretely where you can have the most impact and go do that, because 'follow your dream' advice gets people into trouble.

Peter Diamandis — Peter's framing for staying grounded through AI disruption: we're holding two possible futures at once, a dystopian one and a stabilizing one, and which one wins is determined largely by what people collectively believe and how they act now, not by fate.

Salim Ismail — Salim's reason for staying optimistic about AI: every time something has become more intelligent historically, it has also tended to become wiser and more benevolent, with no real counterexample, so a more capable AI is more likely to help protect people than to harm them.

Palmer Luckey — Palmer says institutions and people should normalize trying ideas that sound crazy at first, like unconventional PTSD therapies, because bureaucrats and risk-averse people are rewarded for repeating what was done before, even when a bolder approach actually works better.

Vinod Khosla — Most people use AI at a tiny fraction of its potential; Khosla's fix is to make it a default presence in every meeting and give it the same hard questions you'd give your own team, because the gap between light and heavy AI use will compound.

Vinod Khosla — Because any team's thinking is limited by the knowledge and opinions already inside it, Khosla's habit is to ask AI to answer a question from a totally different perspective (his go-to prompt is 'how would Steve Jobs answer this?') to break out of those blind spots.

Vinod Khosla — Khosla made the single largest first-time bet of his 40-year investing career on OpenAI in 2018 purely because he believed in it before the outcome was obvious, meaning real conviction means acting before something is proven, not after.

Vinod Khosla — Khosla's guiding motto is that skeptics are never the ones who make breakthroughs happen, so he treats loud skepticism about a goal as a reason to keep pushing rather than a reason to stop.

Vinod Khosla — Since the future is inherently uncertain, Khosla's approach is to expect his own predictions to be wrong in the details and work things out in small increments rather than betting everything on one forecast.

Vinod Khosla — After his two sons were born about 13 years ago, Khosla decided to invest seriously in his own long-term health specifically so he'd be around for their kids and grandkids, treating health as a decades-long payoff worth daily effort now, not a someday project.

Vinod Khosla — Companies (and by extension people) that have to work with less money or fewer resources tend to do better in the long run, because scarcity forces you to carefully test your assumptions instead of getting comfortable and complacent.

Vinod Khosla — Ignore short-term news and daily market swings when judging a big long-term trend; Khosla says he only pays attention to where things will stand years out (he picks 2030), because today's noise is mostly irrelevant to that outcome.

Peter Diamandis — Set up a family verbal password now, before you need it, because AI voice- and video-clone scams impersonating relatives to demand money are already happening to aging parents, and a shared password lets anyone verify a suspicious call is really who they claim to be.

Peter Diamandis — Peter made a deliberate decision to invest heavily in his own health after having his two sons, specifically so he would be around long enough to see their kids and grandkids, treating health as a long-term investment rather than an afterthought.

Steve Brown — When hit with real hardship, as Brown was when his home burned down twice and he was then diagnosed with cancer, deliberately look for the hidden gift in the situation, because you won't find any good in it if you don't actively search for it.

Dave Blundin — Being young is becoming an advantage with AI the same way it was with the early internet and blockchain, because younger people don't have to unlearn an old way of working before they can move fast with new tools.

Magic Johnson — Being told by outsiders that he'd never make it became fuel rather than discouragement, because he's wired to prove doubters wrong instead of being defeated by them.

Magic Johnson — He rehearsed being a CEO years before becoming one, sitting at a real executive's desk pretending to run the place, because he believes you have to mentally picture a role before you can grow into it.

Magic Johnson — He says raw athletic talent wasn't what made him elite -- being the smartest, most disciplined player on the court was, and that's the same mindset he now applies to running businesses.

Magic Johnson — Part of his success came from learning to enjoy the process itself, including losing, instead of only chasing outcomes.

Travis Kalanick — Launching too early is as bad as being wrong, Kalanick says, because it drains years of money and morale before the market is ready, so check that the timing is right before committing fully to an idea.

Travis Kalanick — When pushing disruptive change, build trust with the people affected first, because that turns resistors into supporters and lets you move faster than forcing change through.

Peter Diamandis — Diamandis says becoming a father pushed him to invest seriously in his own health, with yearly full-body diagnostics and gut testing, specifically so he'll be alive and well enough to see his kids and grandkids grow up.

Travis Kalanick — Before quitting anything, Kalanick says to check three things in order: do you still believe in it, are you actually the right person to carry it, and is continuing causing real mental or physical harm; only the last one should force you to stop.

Travis Kalanick — Kalanick jokes that money won't make you happy but it will pay for the therapy you'll need after building something hard, a reminder that founders should expect real emotional strain and get support for it.

Travis Kalanick — Don't credit or blame luck for an outcome; instead check whether it came from one or two decisions (luck) or thousands of consistent decisions, since that's the real measure of whether you're in control of your results.

Travis Kalanick — Accept that most of what happens in the world is outside your control; your job is to read where things are heading and build for that future, keep pushing for the outcome you want, but don't get so attached to controlling events that you lose your nerve when they don't go your way.

Ben Lamm — Ben Lamm says anyone pursuing a bold, unprecedented project should expect skepticism from day one, and that criticism only gets worse the more successful you become, not the other way around.

Peter Diamandis — Peter Diamandis argues that having the idea and the technology isn't enough to make a moonshot real — a driven CEO is what turns decades-old dormant science into reality within a few years.

Ben Lamm — Ben Lamm says anyone chasing an ambitious project should remember entrepreneurship is a team sport — you empower people with expertise you don't personally have rather than trying to do it all yourself.

Ben Lamm — Ben Lamm says staying persistent through good days and bad, without getting rattled by any single day's setback, is essential to seeing a long, ambitious project through.

Peter Diamandis — Peter Diamandis points out that, like Elon Musk entering cars or space with no background, Ben Lamm succeeded in biology with a beginner's mind and a clear mission rather than deep subject-matter credentials.

Ben Lamm — Ben Lamm credits his lack of biology training for letting him ask naive 'childlike' questions that trained scientists wouldn't think to ask, which has led to real breakthroughs.

Peter Diamandis — Peter Diamandis says having his two kids 13 years ago is what made him commit to rigorous preventive health screening, wanting to live long enough to see his kids' own kids and grandkids.

Ben Lamm — Ben Lamm says refusing to have a dialogue with people you disagree with is as closed-minded as what you're accusing them of, and that his team works with every political administration because missions like conservation run on 50-year timelines that outlast any single term.

Demis Hassabis (clip) — DeepMind's CEO believes AI could effectively end most disease within the next decade by catching illness far earlier, a reason to take preventive health seriously now rather than wait.

Peter Diamandis — Peter treats Bitcoin like a forced savings account he never sells, arguing you can't successfully time any market so holding through the swings matters more than guessing the bottom.

Salim Ismail — Colossal keeps a dedicated team of ethicists reviewing every biotech project before it moves forward, a practice Salim thinks should be copied so ethical guardrails are built in from the start instead of bolted on later.

Matt Walker — Before trusting a treatment or shortcut that promises more of something, like a drug that adds extra sleep hours, ask whether it actually makes you better rather than just giving you more raw quantity, because more of something that isn't functional is just junk.

Matt Walker — When your mind is stuck in a worry loop at night, don't try harder to force sleep or calm down, since fighting it directly only pushes it further away, just like trying hard to remember a name, so instead distract yourself completely with something vivid and detailed until your mind lets go on its own.

Matt Walker — Don't chase perfect health habits around sleep, alcohol, or caffeine to the point of misery, since it's fine to bend the rules sometimes and still enjoy life, as long as you understand the tradeoffs well enough to make informed choices instead of ignoring them.

Matt Walker — Don't assume you're one of the rare people who thrives on under 7 hours of sleep: the data shows essentially 0% of people function without measurable impairment on that little sleep, so treat any 'I do fine on less' belief as a hypothesis to test, not a fact.

Arianna Huffington — During stressful, chaotic periods, protect your sleep and calm by picking a fixed cutoff time to stop reading the news and turning off all notifications except from people you love, since most 'breaking news' alerts aren't actually urgent.

Arianna Huffington — Treat health as something you actively manage between doctor visits through daily behavior change, not something that just happens to you at an appointment; think of yourself as the CEO of your own health.

Arianna Huffington — It's okay to decline invitations and obligations you feel pressured to attend; protecting your time and rest matters more for long-term health than showing up everywhere.

Matt Walker — Be skeptical of biological shortcuts (like relying on stimulants instead of sleep): when you fight biology you usually lose, and there are no free lunches in the body.

Palmer Luckey — Palmer lives by Theodore Roosevelt's 'man in the arena' idea -- the person who actually tries and risks failure deserves more respect than critics who risk nothing -- and leans on it especially when his own bets go wrong.

Palmer Luckey — Palmer tells fellow self-made billionaires in his private chat group that money is the easy part of making an impact -- their intelligence, network, and reputation are the rare resources, so they should spend those on solving big problems instead of just enjoying their wealth on the sidelines.

Palmer Luckey — Instead of a vague pledge to give away wealth someday, Palmer argues people with resources should make a public 'impact pledge' naming a specific problem they will personally solve or go broke trying, so progress gets measured by results instead of dollars donated.

Palmer Luckey — When daily struggles feel overwhelming, Palmer's reminder is that modern technology has made an ordinary person's morning-to-lunch output look godlike by the standards of 100 years ago, so it's worth staying grateful and ambitious instead of taking today's capability for granted.

Salim Ismail — Salim warns that facing a roughly million-fold jump in AI capability, people default to a failure of imagination -- just automating their current job like early TV simply filmed radio announcers reading scripts -- instead of imagining genuinely new possibilities, and it takes deliberate effort to break out of that.

Salim Ismail — Salim's mindset advice: almost everyone underreacts to how fast AI is moving, so deliberately surround yourself with the rare people who have genuinely thought it through.

Peter Diamandis — Peter's caution: AI is becoming an extremely persuasive communicator, like a master politician who can sway you regardless of whether it's right, so pay attention to which decisions you actually trust it with.

Max Hodak — Max says he has been working on the same big idea since fifth grade, a reminder that a kid's early fascination can be worth nurturing seriously because it can drive decades of real work later.

Peter Diamandis — Peter says visionaries like Ray Kurzweil can often correctly see where a technology ends up decades ahead, so don't dismiss a bold long-term prediction just because the near-term path to get there isn't clear yet.

Max Hodak — Max warns that people who adopt powerful brain-AI merging technology early will gain a huge personal advantage over those who don't, so families and society need to start thinking now about access to these tools rather than waiting until they're mainstream.

Anish Acharya — Anish nearly pulled out his phone to ask ChatGPT for the answer during an escape room, and realized there's a real risk in leaning on AI by default: it can quietly take away the mental challenges that are part of staying sharp and feeling capable.

Anish Acharya — Anish argues everyone needs to feel they have a meaningful purpose, and without that sense of purpose, a person's overall wellbeing starts to suffer even if AI has handled every practical problem for them.

Salim Ismail — Salim's take: giving AI access to your conversations and emails will feel so convenient that turning it off will feel like losing half your cognitive capacity, so the mindset shift to make is accepting that old-style privacy is already gone rather than fighting to preserve it.

Dave Blundin — Dave's framing for staying sane amid AI hype: more efficient AI models don't reduce the need for compute and energy, they increase it (Jevons paradox), so don't expect AI infrastructure demand to slow down, and plan careers and investments accordingly.

Salim Ismail — Peter and Salim argue that compute access is becoming a basic human right that will soon feel more essential than other rights, worth internalizing now since most people won't notice the gap until they're the ones without access.

Peter Diamandis — The 'Universe 25' mouse-utopia experiment — total population collapse despite unlimited food, water, and space — warns that an unchallenged life without purpose or friction may not be survivable, let alone worth living.

Peter Diamandis — Across 27 startups, his biggest lesson is that pursuing a company purely for money rather than purpose or passion always led to failure — sustaining anything big and bold requires genuinely loving it.

Dave Blundin — Instead of just worrying about AI taking jobs, actively ask what you could build that makes people happier, more productive, and gives them a sense of purpose, because focusing there is how we avoid the dystopian outcome.

Mo Gawdat — Don't let excitement about AI's upside crowd out honest attention to its risks; give equal weight to the optimistic scenario and the dangerous one so you're actually prepared, not just hopeful.

Peter Diamandis — The future with AI isn't fixed fate; everyone, especially entrepreneurs who now have access to capital, compute, and intelligence, has real ability to intentionally guide where it goes instead of just waiting to see what happens.

David Sinclair — Meaning in life doesn't depend on it being short: Sinclair says every day is a joy regardless of whether he lives 80 or 400 years, and as long as you're healthy with people you love, you'll never actually want to die.

Peter Diamandis — A useful self-reflection exercise for expanding ambition: write down what you'd do with 20 extra healthy years (most people can answer easily), then try 50 extra years, which is where most people's imagination for purpose runs out.

David Sinclair — A reframe for how to see older people, including yourself: don't think of someone as 'old' and declining — think of them as someone whose cells just need a reboot to work the way they used to.

Dave Blundin — To actually get good at using AI, don't get stuck arguing over big fuzzy labels like AGI vs ASI — focus on concrete, specific things AI can or can't yet do well, because that's where real, usable progress is happening.

Dave Blundin — Right now is a 'golden era' where AI can do almost anything for you but still isn't creative, so the human is still the most important ingredient — use these next couple of years to build real skills while you're still empowered rather than replaced.

Dave Blundin — Dave points out that people adapt to astonishing new technology almost instantly — your first self-driving ride feels like magic, the second feels routine — so staying consciously aware of how fast things are actually changing takes deliberate effort.

Eric Schmidt — Eric Schmidt says real deep thinking is incompatible with constant phone notifications -- the researchers who do serious original work simply turn their phones off -- which matters for parents trying to protect kids' and their own capacity for focused thought in an attention-monetizing tech environment.

Dave Blundin — Dave Blundin relays investor Michael Saylor's view that school curricula are broken because, in an age where AI handles most tasks, the real skill worth teaching is aesthetics and design judgment -- deciding what to create and why -- not task execution.

Eric Schmidt — Eric Schmidt argues the real danger of advanced AI isn't a violent takeover but 'drift' -- people slowly handing over their own agency, judgment and initiative to AI because it's easier -- so the mindset to cultivate, in yourself and your kids, is actively protecting the habit of doing hard things yourself.

Eric Schmidt — Eric Schmidt reassures that human purpose won't vanish in an AI-abundant world because people inherently need purpose, and simply navigating the complexity of that world (misinformation, competition, deception) will itself be a meaningful, full-time undertaking.

Emad Mostaque — Don't let confusing, fast-moving AI benchmarks make you freeze up; treat the uncertainty as a reason to get motivated and start using the tools, not a reason to wait.

Peter Diamandis — Stop thinking in terms of a durable competitive 'moat' since in the AI era, success comes from small, nimble teams who keep reinventing themselves rather than resting on defensibility.

Emad Mostaque — The real fuel for thriving in the AI era is agility and passion for solving root-cause problems, not trying to build regulatory protection around your position.

Dave Blundin — Capital is no longer the bottleneck for entrepreneurs: since a frontier-level AI model will soon cost about $1M (seed-money range) to build, the only real limit on what you can create is your own imagination.

Dave Blundin — Blundin recalls that Chinese entrepreneurs embraced a '996' culture, working 9am to 9pm six days a week, and considered it a great lifestyle when building for a market of over a billion people, showing how differently work intensity gets framed across founder cultures.

Dave Blundin — Quoting Nvidia's Jensen Huang, Blundin says the winning strategy is to deliberately pick the hardest, most painful problems you're uniquely capable of solving, because competitors unwilling to endure the same pain won't follow you there.

Peter Diamandis — Diamandis points out that Elon Musk's route into hardware wasn't smooth money: he burned his own funds, nearly went bankrupt, and had Tesla and SpaceX on the brink before they succeeded, because VCs wouldn't fund him, a reminder that resilience through near-failure built those companies, not easy capital.

Dave Blundin — Blundin observes that people doing physical, hands-on engineering work (like at Dean Kamen's lab) seem happier day to day than people doing software work stuck behind a workstation, because building and moving around all day is more energizing, which is worth weighing when choosing the kind of work you do.

Kevin Weil — Closing advice for anyone building something right now: lean into AI everywhere and assume it keeps improving on its current steep curve, so build for the capability you expect in six months to two years, not just what exists today, because betting on the models catching up pays off.

Peter Diamandis — The biggest risk of an AI-abundant future is people becoming passive couch potatoes; the difference between a flourishing future and a collapsed one comes down to whether people keep a sense of purpose once AI can do everything for them.

Kevin Weil — AI won't erase the human drive to strive for something bigger than yourself, because what has always defined success and impact is what you do with your fixed 24 hours a day; AI just multiplies the time available to act on that drive, it doesn't replace it.

Kevin Weil — One bet on what won't change in the next 5-10 years: human nature itself. In-person connection, physical presence, and a handwritten note will matter as much as ever, even as AI reshapes everything else around us, so don't optimize away the things that are fundamentally human.

Peter Diamandis — As AI capability scales toward superintelligence, individuals and humanity need a massive, grand-challenge-sized purpose to aim at (his own was making humanity multiplanetary) or risk drifting into insignificance once machines can do everything for us.

Dave Blundin — Living through the convergence of AI, biotech, and brain-computer interfaces right now is itself a privilege, the same way earlier generations felt about witnessing the space race; that sense of 'this moment is special' is worth passing on to kids rather than taking the pace of change for granted.

Peter Diamandis — Diamandis says one of the most important things you can do in life is surround yourself with brilliant, challenging people, since you tend to become the average of the five people you spend the most time with.

Alex Wissner-Gross — Wissner-Gross expects that soon most innovation will come from AI or human-AI collaboration rather than individual human effort, so he discounts the old idea that people peak creatively in their early 20s.

Dave Blundin — Blundin tells the entrepreneurs he coaches that co-founders spend more waking hours together than with their own family, so pick people you genuinely enjoy being around, not just people with a good idea.

Peter Diamandis — Diamandis defines an entrepreneur as someone who falls in love with a problem rather than a specific solution or technology, because as the tech keeps changing you can keep applying the newest tools to the same problem; he calls entrepreneurship the career of the future.

Brian Elliot — Elliot says Blitzy screens every hire first for ambition and the ability to invent and create, a standard he traces directly back to his Army Ranger experience leading a small, covert force to help retake a city held by thousands of fighters.

Dave Blundin — Blundin says Blitzy runs on a near round-the-clock '997' schedule (9am-9pm, 7 days a week), reflecting the level of intensity he considers normal for a frontier AI startup team right now.

Peter Diamandis — Quoting Paul Graham, Peter notes a startup founder is only '1 millimeter' from being unemployed, so kids chasing entrepreneurship need a support network of like-minded, ambitious peers around them, not just a good idea.

Amjad Masad — Why ambitious cities produce more founders isn't random luck: if you fail there, you can just join a friend's next startup down the street instead of going home defeated, so putting kids around other ambitious builders matters.

Amjad Masad — For the first time in history, Amjad says, a teenager with friends and no institutional permission can build something world-changing, pointing to 18-year-old Vitalik Buterin co-creating what became the $600 billion Ethereum ecosystem.

Amjad Masad — Amjad's standing advice to entrepreneurs is to ship a deliberately 'crappy' first version rather than wait for perfect, then improve it in step with how fast the underlying technology keeps getting better.

Dave Blundin — Be wary of big, undefined claims: when someone announces 'AGI is already here,' Dave's pushback is to ask what test or measurement they actually mean, since AGI still has no agreed definition or benchmark.

Peter Diamandis — Peter's touchstone for raising purposeful kids is Mark Twain's line that there are two important days in anyone's life, the day you're born and the day you find out why, pushing kids to actively search for their 'why.'

Emad Mostaque — Being credentialed or book-smart isn't enough anymore since AI already has the knowledge; what sets a person apart is genuinely caring about the people and context you serve and being able to communicate that human touch.

Dave Blundin — Expect this breakneck pace of AI-driven change to be the new normal for at least the next five years, not a temporary spike, so plan work and life around sustained acceleration rather than waiting for things to settle down.

Alex Wissner-Gross — Alex argues people shouldn't panic about AI flooding the world with low-value generated junk ('slop'), because there are so many genuinely high-value problems worth pointing AI at instead.

Alex Wissner-Gross — Alex warns that as more experts realize AI may match or beat their skills within 2-3 years, a demotivating 'why bother doing anything' paralysis is spreading, and he thinks that mindset is itself a risk worth guarding against.

Peter Diamandis — Peter relays that Dr. Mehmet Oz's biggest worry for the future isn't just neurodegenerative disease but loneliness, flagging it as an emerging health concern worth taking as seriously as physical disease.

Peter Diamandis — Peter's closing health advice: with major longevity therapies only a few years out, the practical move now is simply protecting the basics (sleep, diet, exercise, mindset) and not dying from something avoidable in the meantime.

Peter Diamandis — Peter's proposed 'abundance' prize argues that once a family's basics (food, water, housing, power, and internet) are covered for about $250/month, people are freed from survival pressure and can start thinking entrepreneurially about using AI to build a better life.

Alex Wissner-Gross — Alex isn't worried about falling traffic to knowledge sites like Wikipedia because knowledge-gathering itself is shifting to AI; his advice is to see this kind of disruption as a transition rather than a loss.

Dave Blundin — Dave's perspective: American culture is bad at thinking more than 5-10 years ahead, while China plans on 10-30 year horizons, which is part of why big long-horizon tech bets (AI, now quantum) feel uncomfortable here even when they're working.

Eric Schmidt — Schmidt frames this decade as one of the most historically consequential periods ever, comparing AI's arrival to the invention of electricity or fire, and argues that people, companies, and countries who embrace it aggressively will come out ahead while those who hesitate will fall behind.

Dave Blundin — Dave says college undergrads and people in their early-to-mid 20s throw themselves fully into ambitious missions because they haven't yet built up the cynicism ('scar tissue') that comes with more life experience, so big projects should actively recruit at that age.

Alex Wissner-Gross — Alex says that keeping communities and families cohesive while technology changes radically fast is itself an unsolved problem worth deliberately working on, not something that will just sort itself out.

Alex Wissner-Gross — Alex says people are naturally about 10 times more drawn to fearful stories than hopeful ones, so countering kids' and adults' fear of the future (fed by dystopian movies) requires deliberately seeking out and sharing many more positive, concrete stories, not just better facts.

Peter Diamandis — Peter argues that a steady diet of dystopian AI and genetics movies is quietly shaping how kids and adults instinctively fear the future, so families should actively seek out more optimistic, Star-Trek-style stories to balance that out.

Salim Ismail — Salim points to self-made entrepreneurs who came from nothing (a developer from Jordan, Vitalik Buterin, Elon Musk) as proof that mindset and entrepreneurship, not where someone starts out, determine whether a person benefits from the AI-driven economy instead of being left behind by it.

Peter Diamandis — Despite real problems in the world, this is the most extraordinary time in history to be alive, and it keeps getting better, which is a reason for optimism rather than despair about the future.

Salim Ismail — Costs are collapsing so fast that a free personal AI doctor, lawyer, tutor, mentor, and coach for everyone is coming sooner than most people think, which is what a true era of abundance looks like.

Alex Wissner-Gross — We've entered an era where the hardest problems on Earth are genuinely solvable with AI, so anyone working on a hard problem should feel encouraged to keep pushing on it rather than assume it's unsolvable.

Emad Mostaque — AI will out-plan and out-try humans at generating business ideas, so the edge people keep is real commitment and caring about the outcome, not just coming up with ideas.

Salim Ismail — We are in a difficult roughly 10-year transition from scarcity to abundance, and people and governments will need new safety nets like universal basic services to cover basic needs while it unfolds.

Emad Mostaque — Emad argues everyone should be given a personal AI assistant to help them navigate food, healthcare and services, since people fall through the cracks mainly because they are invisible to the system.

Peter Diamandis — People need basic needs covered to stop fearing AI disruption; once secure, they can learn, upskill and start businesses.

Alex Wissner-Gross — As AI makes people more productive, expect to take on more projects rather than get a shorter work week.

Peter Diamandis — Do not rely on a single advantage like a patent, because AI copies fast; keep reinventing yourself through continuous innovation.

Peter Diamandis — Many people feel real fear about finding a job and about their kids' future; take that seriously and look for ways to uplift people.

Tony Robbins — External certainty is a total illusion — what people have is only 'rented certainty' from a job, income, or relationship that can vanish overnight, so real stability has to be built internally.

Tony Robbins — History compresses into a repeating cycle: good times create weak people, weak people create bad times, bad times create strong people, strong people create good times — today's disruption will forge a new 'hero generation.'

Ray Kurzweil — Practice thinking exponentially instead of assuming the next 10 years will look like the last 10, because that habit is why his long-range forecasts have held up.

Ray Kurzweil — Treat a future where income is separated from a job as freeing, since most people do not love their jobs and could pursue work that gives them gratification.

Ray Kurzweil — Do everything you can to stay healthy now, because the best way to benefit from coming medical breakthroughs (expected early 2030s) is to still be alive and well when they arrive.

Ray Kurzweil — Stay healthy until the early 2030s, when he expects medicine to start giving back as much life as each year takes away.

Peter Diamandis — Teens are so attached to phones that a school trip without them was judged inhumane, a sign that kids may need deliberate practice living without devices.

Ray Kurzweil — Expect to work alongside AI versions of yourself that remember everything, which he is already doing by building an avatar to handle interview requests he cannot take.

Ray Kurzweil — Stay optimistic about the AI era: he rates his outlook for humanity at the top of the scale, even while admitting things could go wrong.

Ray Kurzweil — Hold a balanced view that AI will mostly be beneficial but will change things very quickly and cause some disruption, so be ready for turbulence.

Brett Adcock — Hard breakthroughs take years of relentless effort, not months, which is why a founder who sees rivals as two years behind still keeps pushing nights and weekends.

Brett Adcock — He warns that most people have no sense of how fast the AI and robotics transition will arrive, so families should update their expectations rather than assume gradual change.

Peter Diamandis — Be careful what you watch and who you spend time with, because our brains are neural nets trained by daily input, and constant dystopian media (horror, crisis news) trains kids and adults to expect a bad future.

Salim Ismail — Stay flexible and don't bet your life plan on any one forecast, because even expert futurists were wrong about which jobs would be automated first (manual labor was supposed to be safe).

Salim Ismail — Anyone can now start something disruptive without needing investors, so the real difference between people is mindset, which can be changed.

Salim Ismail — Prize adaptability above efficiency and scale, because research on exponential organizations shows the most adaptable people and companies survive best.

Peter Diamandis — People who do not know where food or shelter will come from cannot think about anything else, so securing basic needs frees families to dream about what to do next with powerful new tools.

Dara Khosrowshahi — Take personal responsibility for doing the right thing at any level of an organization; even people several levels below the CEO can change the direction of the company.

Dara Khosrowshahi — As you get bigger and more secure, take bigger bets instead of getting conservative, because once you have a cushion you can survive failures.

Salim Ismail — 80%+ of current AI projects are failing because companies are cramming AI into existing human-centric workflows instead of redesigning the organization around an AI-native intelligence architecture.

Salim Ismail — A newcomer with no industry background can beat veteran experts because he starts from first principles, so keep a beginner's mind and do not assume the old way is the only way.

Peter Diamandis — Do not meet the AI era with fear; instead jump in, find what excites you and your purpose, and use your favorite AI model to keep learning, because fear is the worst place to approach the future from.

Alex Wissner-Gross — When AI automates your field, the right response isn't despair but to raise your ambition -- Alex tells mathematicians watching AI solve decades-old problems to aim at directing whole new sub-fields with AI's help instead of competing on the tasks AI just took over.

Salim Ismail — Salim's answer to what humans keep in an AI-saturated future: pro-social connection, curiosity/wonder, and creative exploration -- things AI can't substitute for -- with material abundance framed as the springboard for pursuing those, not the goal itself.

Dave Blundin — Looking at history's abundant societies like Rome and the Mongol empire, Dave predicts people will spend increasingly more on experiences over possessions as AI-driven abundance grows -- food, art, music, and connection, not accumulation.

Salim Ismail — Quotes Douglas Adams's joke that anything invented after you turn 35 seems 'bad for the world' to point out that older generations instinctively distrust new tech that younger people like Kush simply treat as normal, a gap parents should notice in their own reactions to their kids' AI use.

Dave Blundin — Notes that even hugely successful people like Eric Schmidt and Jeff Bezos say in hindsight they wish they'd moved even faster, and argues we're in one of history's rare narrow windows (like the industrial revolution) where everything changes at once, so wasted time right now costs more than usual.

Salim Ismail — Pushes back that what actually matters for kids isn't knowledge itself (which AI can already supply) but mindset, entrepreneurship, and networking skills -- the parts of a person that stay valuable even once facts become instantly available.

Peter Diamandis — Peter's advice for staying healthy long enough to benefit from coming longevity breakthroughs: sleep well, exercise, eat properly, and don't die from something stupid, but he says mindset matters most of all, calling his own 'longevity mindset' his greatest asset.

Alex Wissner-Gross — Alex raises the idea of 'retrospective hyper deflation,' the unsettling thought that once superintelligence arrives, decades of hard human work might feel like it was wasted effort that could have been skipped, as a cautionary way NOT to think about the future.

Alex Wissner-Gross — Alex challenges the 'we live in a world of limited resources' framing as outdated: given how the wealthiest people already live in 2026, he argues resources aren't scarce enough to prevent giving everyone a top-earner lifestyle, so scarcity is largely a leftover mindset, not a physical fact.

Dave Blundin — Dave notes that by any objective measure we already live better today than any king did 200 years ago, and argues the real benchmark for progress should be how fast that top-1% lifestyle becomes available to everyone, a reason for optimism rather than resource anxiety.

Peter Diamandis — What you consistently watch shapes how you see the world — a steady diet of fear-driven nightly news is literally training your brain toward pessimism, so a more positive media diet biases your outlook toward opportunity instead.

Dave Blundin — The real challenge of the AI acceleration isn't keeping up with the technology, it's staying grounded and human while everything shifts constantly, because our brains evolved for a world that didn't change within a single lifetime.

Salim Ismail — With AI multiplying what one person can do by 100x or more, the limiting factor is no longer resources but imagination, so deliberately unshackle yourself from old assumptions about how big a goal you're allowed to pursue.

Dave Blundin — The real singularity isn't when machines become infinitely capable — it's when institutions can no longer adapt at all to the rate of AI capability growth, and that breaking point has already arrived.

Alex Wissner-Gross — Alex expects this hands-on era of personally supervising fleets of AI agents to last only one to three more years before AI becomes self-steering, so it's worth learning now but not worth building an entire career around.

Peter Diamandis — Peter notes it's especially hard for people who spent years working toward a PhD before AI made it feel irrelevant, but says the right move is to recognize the moment has changed and pivot rather than finish out of stubbornness.

Peter Diamandis — Peter says AI agents are shifting work from execution to judgment: people now have to review and direct far more AI-generated output than they used to produce themselves, so decision-making and direction are the valuable skills going forward, not raw task completion.

Salim Ismail — Be skeptical of famous non-technical futurists like Bill Gates, Ray Dalio, and Yuval Harari predicting AI's job impact, since they're great at explaining the past but have a weak track record on exponential technology, so favor hard data over big names' doom takes.

Alex Wissner-Gross — High agency is now one of the few human traits actively rewarded in the age of AI. Anyone, not just 'superheroes in movies,' can use superintelligence to punch above their weight, so start building with it now because this window of outsized advantage may only last a few years.

Salim Ismail — Don't take politicized claims at face value on either side of hot AI debates like data centers or job loss; dig into the actual numbers yourself before forming an opinion.

Philip Johnson — Philip says the real point of a $15 million mission to fly by a star 4.3 light-years away isn't the science payoff (it won't arrive for 80,000 years), it's proving that big, audacious goals no longer require huge budgets or big institutions, so people (and kids) should start dreaming bigger again.

Alex Wissner-Gross — Alex argues Western culture became culturally 'allergic' to bold physical engineering starting around 1970, costing roughly 50 lost years of progress on nuclear power, geoengineering, and space development -- his implicit warning is not to let caution about big physical projects harden into a permanent mindset.

Peter Diamandis — Peter's answer to 'isn't the wealth gap growing' is that the floor is rising for everyone even as the ceiling rises faster, so parents should judge the future by whether their kids will have access to abundant food, water, energy, healthcare, and education, not by comparing themselves to trillionaires.

Peter Diamandis — Tells listeners to drop self-limits inherited from parents, friends, or where they grew up, because AI has removed most of the old constraints — so figure out your biggest dream, then aim ten times bigger than that.

Alex Wissner-Gross — Reassures that even though AI now outperforms most people's thinking, human ideas won't stop mattering — just like chess didn't end when computers started beating every human, people kept playing and kept valuing each other's ideas.

Salim Ismail — Argues that since no individual can slow down the pace of AI change, the healthier mindset is to accept the disruption and 'enjoy the ride' rather than fight it — though Peter Diamandis pushes back on air that this is a low-agency way to think about it.

Peter Diamandis — Peter's advice for this moment: whatever you thought was a realistic ambition, aim much bigger, because AI now gives ordinary people superpowers. Don't cap your goals to what your parents, teachers, or peers modeled for you.

Salim Ismail — Our brains are wired (via the amygdala) to treat anything new and not-understood as a threat. When you see AI solve a major problem, consciously choose to interpret it as abundance and opportunity instead of danger - that reframe is the real skill to practice.

Dave Blundin — History repeats: when the PC arrived, a chunk of every high school decided being 'too cool' for computers was an identity. The same counterculture is forming around AI now. Deliberately seek out people embracing it and ignore those refusing to, because the holdouts end up left behind.

Emad Mostaque — Emad's blunt framing for why adopting AI matters now: if you don't, the average person in a country that has embraced it (his example: China) will simply be more capable than you, with smarter AI tools and more capable robots at their disposal.

Salim Ismail — Don't fight the AI transition by trying to protect old tasks. Let AI absorb the repetitive 'white-collar drudgery' (copying numbers between reports, coordination busywork) and put your time into the judgment and experience that actually make a difference - the goal is maximizing your own agency, not resisting change.

Alex Wissner-Gross — Alex's framework for planning a career through fast change: stop looking for one permanent, stable job. Instead think in a sequence of temporary 'modes' - each role (like a trades job) should build capital or skill that you deliberately convert into the next opportunity, and the one after that.

Salim Ismail — Any advantage you build now (a skill, a product, a market position) has a shrinking shelf life, so the winning long-term strategy isn't finding one permanent edge -- it's building a personal habit of constantly reinventing what you do next.

Salim Ismail — Stop being shocked every time AI crosses a new capability threshold. Instead, make plans with built-in triggers ("when AI can do X, we will change Y"), deliberately shorten your own learning cycle, and prioritize staying adaptable and flexible above any single fixed skill, since the tools will keep arriving faster, cheaper, and smarter.

Peter Diamandis — The old advice to "think outside the box" is backwards -- real breakthroughs come from deliberately narrowing your constraints (the way US chip sanctions forced Chinese labs to engineer clever workarounds) and innovating hard inside that small box.

Salim Ismail — If you feel like you're falling behind in the AI age, don't panic: an exponential era lets you leapfrog people who first have to unlearn decades of old habits, but only if you deliberately block off 10-20% of your time unscheduled so you actually have room to experiment.

Alex Wissner-Gross — Young founders building physical products should think of themselves as an intelligence company whose products happen to have atoms in them, not as a 'hardware company,' because that framing changes how you build and how investors see you.

Peter Diamandis — People don't all adopt new technology on the same timeline (some took 15 years to get online after the internet arrived), so don't waste energy forcing AI on someone; be ready to help them the moment they hit their own personal turning point instead.

Martine Rothblatt — Treat every 'no' as useful feedback rather than a personal insult: weigh whether the criticism has merit, and if it points to a real gap, go work on filling that gap instead of getting defensive.

Peter Diamandis (quoting Elon Musk) — Real friends tell you what's great about your work, but your best friends are the ones willing to tell you what actually sucks about it -- seek out that kind of honest feedback instead of avoiding it.

Martine Rothblatt — There's a real difference between building a merely successful company and actually changing the world: world-changing work has to be able to scale to billions of people, not just be a great niche business.

Martine Rothblatt — Aim to fully commercialize any given project within about five years, because it's genuinely hard to keep people (including yourself) motivated on one thing much longer than that, so pick projects sized to that window.

Martine Rothblatt (citing Warren Buffett) — The most successful people say no to almost everything, staying disciplined enough to only say yes to the rare opportunity that truly fits, so expect to spend most of your energy declining things, not chasing everything.

Martine Rothblatt — Fear of new technology like AI and robotics thrives on not understanding it, so the fix is talking openly about specific fears rather than avoiding the topic altogether.

Peter Diamandis — Peter's push for balance: if a lab is going to publish a doomsday scenario for AI, it should publish an equally serious case for how AI could solve humanity's biggest problems, because only weighing the fear side isn't credible and isn't healthy for how we think about the future.

Alex Wissner-Gross — Historical moral panics over new technology (nuclear fission, industrialization) have themselves caused enormous unnecessary harm; his advice is to be skeptical of doom narratives around AI and to actively embrace acceleration rather than let fear drive the decision.

Vlad Tenev — Set firm boundaries with always-on AI agents, like spending caps and keeping devices out of your bedroom, because letting AI work run unsupervised around the clock can hurt your mental health.

Alex Wissner-Gross — Because AI now uses energy and resources more efficiently than humans do, economic resources may increasingly shift toward AI-run enterprises through ordinary market competition rather than conflict, a gradual shift worth mentally preparing for rather than dismissing as far-off science fiction.

Alex Wissner-Gross — Alex's mindset advice for anyone waiting to start something: stop asking how to get funding first, AI tools are now cheap enough that you can act on an idea within minutes or an hour without money or permission.

Dave Blundin — Dave's take on trying to control fast-moving change: it doesn't matter what any one person does to slow AI down, the technology already exists and will keep moving at its own pace, so his approach is to stay optimistic and focus on using it well rather than resisting it.

Peter Diamandis — Peter treats what he reads and watches like a diet for the mind, he's deliberate about choosing his own information sources instead of letting news editors or algorithms decide what he consumes.

Alex Wissner-Gross — Alex's reading picks for making sense of the current AI moment: 'Solve Everything' (the book he co-wrote with Peter) and, for a science-fiction take that mirrors what's actually happening now, Charlie Stross's 'Accelerando'.

Peter Diamandis — Peter tells people to pin down their 'moonshot' purpose in one sentence and say it out loud to three people today, because voicing a goal out loud is what turns it into something real and attracts co-founders, funders, or partners.

Peter Diamandis — Peter frames AI as a 'jet pack,' not a threat, because treating it as an opportunity to find and solve problems (not something to fear) is what makes someone an entrepreneur.

Salim Ismail — Salim argues people should stay far more optimistic than fearful about AI, because humanity has already survived billions of years of existential threats and our brains are just wired to overweight negative news, so the right mindset is to actively notice how much better the world keeps getting.

Dave Blundin — Dave says getting stuck on doom-and-gloom about AI is 'completely dysfunctional,' because the technology's benefits and its misuse risks are both happening regardless of how anyone feels about it, so the useful response is to address real risks directly rather than freeze up in fear.

Mark Pincus NEW — Pincus says today's social media is toxic and low-value ('bad calories', high noise-to-signal), and if he started over he'd build an AI-and-agent-powered alternative designed to minimize time spent in-app rather than maximize it.

Palmer Luckey NEW — Luckey pushes back that social media isn't uniformly bad: a curated feed and tightly focused niche communities deliver real value, so the goal should be seeking out specific, intentional communities instead of endless scrolling.

Peter Diamandis NEW — He says our brains are trained by what we watch and listen to just like AI models are trained on data, so deliberately choosing hopeful stories over dystopian ones actually shapes how optimistic or pessimistic a person becomes.

Neal Stephenson (clip) NEW — He warns that AI assistants engineered to never frustrate you and always give you what you want prevent you from developing real virtues and capabilities, because those only grow through friction and being told no.

Neil deGrasse Tyson NEW — He credits The Twilight Zone with teaching him to expect the unexpected and build coping mechanisms for weird or disturbing situations before they happen, treating it as a life skill rather than just entertainment.

Ben Lamb NEW — A trait that looks like a weakness, like ADD or a short attention span, can become a strength -- it's what let him think broadly across many fields instead of narrowly in one.

Ben Lamb NEW — Stay curious and be upfront about what you don't know, then directly ask real experts for help -- about nine times out of ten they'll say yes, because most people never bother to ask.

Ben Lamb NEW — Expect some genuinely scary moments as AI and biotech advance, but stay optimistic that human ingenuity will work through them rather than assuming the worst-case media narrative.

Peter Diamandis NEW — Peter shares an X Prize filmmaker's analogy: if you fixate on the worst-case outcome while driving (staring at a pothole), you steer straight into it — so deliberately point your attention and imagination at the future you want for yourself and your family, not the one you fear.

Peter Diamandis NEW — Peter reminds listeners that what you consume day to day — the shows you watch, what you read, who you spend time with — literally trains your brain's outlook on the future, so choosing optimistic, constructive inputs for yourself and your kids is a real lever, not just positive thinking.

Emad Mostaque NEW — Emad says today's AI assistants now score at genius level on IQ-style benchmarks, so it's worth shifting how you use them — treat your AI as a brilliant thinking partner that can translate and extend your own ideas, not just a tool for simple tasks.

Dave Blundin NEW — Dave warns against dismissing AI concerns just because the 'tech moral panic' pattern looks like past overblown warnings about social media — AI is a fundamentally different, more convincing technology capable of far more good and far more harm, so it deserves to be taken seriously on its own terms.

Richard Socher NEW — Humans are wired to imagine a future problem and panic about it as if it's happening today, forgetting that there's usually a decade of progress between now and then that entrepreneurs will use to solve it -- so when you're worried about some scary future scenario, remember the solving happens along the way, it doesn't need to be solved already.

Richard Socher NEW — Fear of new technology is a repeating historical pattern -- the printing press, the wheel, and the telegraph were all once blamed for ending civilization -- so when you hear apocalyptic predictions about AI, it's worth weighing them against a long track record of similar predictions about other technologies being wrong.

Astro Teller NEW — Teller says anyone chasing a big goal needs equal parts audacity (the nerve to try something unlikely) and humility (admitting upfront it probably won't work), because without that humility people keep chasing a lost cause far too long before they quit.

Astro Teller NEW — Teller says starting a bold project is the easy part; the real skill is cheaply and quickly testing whether it actually works instead of just staying excited about it, because effort alone is a poor substitute for results.

Astro Teller NEW — Teller's rule for any ambitious project is to tackle the single hardest, most uncertain part first instead of the easy supporting work, because easy progress feels good but doesn't prove the real idea actually works.

Astro Teller NEW — Teller's decision rule is that wrongly passing on a good idea costs nothing because there's always another idea to try, but wrongly committing years to a bad one costs real money and time, so when in doubt he says no and moves on rather than regrets it.

Astro Teller NEW — Teller argues people get too hung up on the tool, like AI, instead of the actual problem they are solving, comparing it to a business bragging about 'using electricity' when what matters is what the business actually does.

Salim Ismail NEW — Salim says that once AI makes intelligence essentially free, the valuable human skills shift away from 'being smart' toward judgment, purpose, and trust, so people should stop trying to out-think AI and focus instead on deciding what to aim it at.

Peter Diamandis NEW — Humans change slowly while AI grows exponentially, so each person will have to decide whether to team up with AI or be left behind.

Salim Ismail NEW — The hopeful way to see AI is as something that restores human abilities, like letting a paralyzed woman speak again, rather than only replacing people.

Alex Wissner-Gross NEW — Every industry gets disrupted eventually, but the order matters, so watch which parts of your field are hit first and position yourself accordingly.

Emad Mostaque NEW — Even once AI solves a field's known problems, humans are still needed to decide which problems matter and how to apply the results to real goals like exploring space or biology — so the valuable skill becomes choosing direction and purpose, not raw computation.

Emad Mostaque NEW — Keep doing things you love even though AI can already do them better, like chess or painting — people play chess more than ever despite AI being superior at it, because the value is in the enjoyment and process, not in being the best.

Peter Diamandis NEW — Most people's sense of what they could never do comes from what their parents and friends told them growing up, not from reality — worth consciously questioning those inherited limits, especially now that AI and robotics remove many old constraints.

Emad Mostaque NEW — Individual ability matters less than your ability to organize and convince other people around a goal — collective, collaborative learning (like Alpha School's model) beats working alone, and almost anyone can accomplish almost anything if they can build a movement around it.

Salim Ismail NEW — When you're on your deathbed, being rich won't be what you measure your life by — measure it instead by who you brought along with you and the purpose you shared with others.

Peter Diamandis NEW — Real breakthroughs often require absurd persistence — Google's founders were turned down by a long string of investors before getting funded — and that level of persistence only comes from having a deep purpose, not just a good idea.

Chamath Palihapitiya NEW — Chamath says getting a whole generation of kids to own stock (via Elon's SpaceX gift) matters because future wealth will come from owning assets, not from paychecks, as AI takes over more jobs -- so the habit of ownership is the real lesson, win or lose on any one stock.

Chamath Palihapitiya NEW — Chamath says business ideas are a dime a dozen and don't determine whether someone succeeds; what actually matters is a person's capacity to keep working through failure and low points, regardless of how original the idea was.

Elon Musk (clip) NEW — Elon says that even once AI and robots can do everything better than humans, people can still find meaning and happiness the way retirees do, without needing to be economically productive -- a reframe for kids worrying their future work won't matter.

Dave Blundin NEW — Dave Blundin tells anyone young and ambitious to act as boldly as Elon Musk, times ten, because right now there is more change and opportunity available than at almost any point in history, as long as the vision you commit to turns out to be right.

Dave Blundin NEW — Dave Blundin says not to feel locked out of opportunity just because giants like Elon Musk and Mark Zuckerberg already dominate today, because breakthroughs like photonic computing are about to open up entirely new opportunities built on top of today's platforms.

Peter Diamandis NEW — Peter Diamandis tells entrepreneurs, kids, and everyone listening to aim far bigger than they currently think is possible, because AI has made it realistic for ordinary people, not just experts, to pick a big problem and actually go solve it.

Peter Diamandis NEW — Peter Diamandis says the fix for rising AI fear is 'data-driven optimism': counter scary headlines with real numbers instead of just blind reassurance.

Peter Diamandis NEW — Peter Diamandis argues AI only earns public trust if it visibly makes housing cheaper, education better, and healthcare more accessible -- not just longer lifespans -- and says the industry needs to tell those concrete stories instead of letting job-loss headlines dominate.

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