Ezra Chapman #Curious
- Episodes
- 63
- Released
- weekly
- Latest episode
- Oct 29, 2026
About the podcast
Dive into tomorrow's technology today with Ezra Chapman as he interviews the brilliant minds reshaping our world. From AI and robotics to cosmology and humanoid development, "curious" explores innovations at the cutting edge of human achievement. Through thoughtful conversation, Ezra unpacks complex ideas with clarity and depth, revealing not just breakthrough technologies and ideas but their profound implications for humanity. For those who believe in challenging boundaries and embracing the unknown- because fortune favours the brave.
Episodes 63
Ex-Apple Executive: The Simplicity Secret Behind Apple’s $5 Trillion Empire
What does it actually take to build a $5 trillion company on one simple idea?In this conversation, Neil West, Apple's former Head of Music for the UK and Europe and author of It Just Works: The Nine Simple …
Show notes
What does it actually take to build a $5 trillion company on one simple idea?In this conversation, Neil West, Apple's former Head of Music for the UK and Europe and author of It Just Works: The Nine Simple Rules of Apple's Success, shares what 16 years inside Apple taught him about simplicity. He reveals why Steve Jobs hated his idea, how the Beatles launch on iTunes helped drive iPhone sales, why the free U2 album became one of Apple's biggest mistakes, and why Apple was late to the AI race.But this isn't just a story about Apple.It's about a deeper shift:🔹 What happens when "good enough" quietly becomes the way your business fails?🔹 Why do the most successful people and companies say no to almost everything?🔹 And if AI is becoming a commodity, will the winners be the smartest, or the simplest?At the centre of the discussion is a harder question:If complexity is the biggest tax every organisation pays, are you willing to do the work it takes to make things simple?Because simple doesn't mean easy.
Chief Investment Strategist: The Hidden Risk Inside Your “Diversified” Portfolio
What happens when the investments that look safest are actually far more concentrated than most people realise?In this conversation, Susannah Streeter, former BBC business anchor and now Chief Investment …
Show notes
What happens when the investments that look safest are actually far more concentrated than most people realise?In this conversation, Susannah Streeter, former BBC business anchor and now Chief Investment Strategist at Wealth Club, breaks down the AI investment boom, the risk of inflated valuations, and why even supposedly diversified portfolios may be heavily exposed to a small number of US technology companies. She also explains how beginners should actually invest, why AI could reshape employment and taxation, and what the UK needs to do to remain competitive.But this isn’t just a story about markets.It’s about a deeper shift:🔹 What happens if the productivity gains promised by AI come at the cost of millions of jobs and government tax revenue? 🔹 Are investors unknowingly betting too heavily on the same handful of AI winners? 🔹 And can the UK create an economy where entrepreneurs, investors, and growing companies actually want to stay?At the centre of the discussion is a harder question:If AI transforms both the economy and the investment landscape at the same time, how do you position yourself for the upside without becoming dangerously exposed to the hype?Because in a market obsessed with finding the next winner, resilience may matter more than prediction.
Future of Work Expert: Smart People Are Quitting the "Safe" Career Path
What happens when the skill you’ve spent your whole career perfecting becomes something AI can do?In this conversation, Dr. Mansoor Soomro, author of The Generalist Advantage, explores why broader skills and …
Show notes
What happens when the skill you’ve spent your whole career perfecting becomes something AI can do?In this conversation, Dr. Mansoor Soomro, author of The Generalist Advantage, explores why broader skills and experience could become increasingly valuable in the age of AI. Drawing on his research into 2,500 executives, he explains how specialisation can limit career progression, what makes an effective generalist, and why curiosity, adaptability, and human judgment matter as work changes.The conversation connects those individual career choices to bigger questions about leadership, education, and the future of work:🔹 How do you know when your expertise is helping you progress and when it is holding you back? 🔹 Can we use AI to expand our thinking without losing the curiosity and critical thinking that make us valuable? 🔹 And as AI creates new roles and reshapes existing ones, how should we prepare for jobs that do not yet exist?At the centre of the discussion is a harder question:How do we develop human potential in a world where the work, the skills, and the paths to success keep changing?Because building a lasting career may depend on how much we remain willing to learn.
Oxford Economist: AI Skills Are Worth MORE Than A Master’s Degree
What happens when AI starts removing the entry-level work people traditionally needed to become experts?In this conversation, Dr. Fabian Stephany explores what real labour-market data says about AI, jobs …
Show notes
What happens when AI starts removing the entry-level work people traditionally needed to become experts?In this conversation, Dr. Fabian Stephany explores what real labour-market data says about AI, jobs, wages, and the skills that are becoming more valuable. He explains why people with AI skills are already earning a premium, why junior workers may face the biggest disruption, and why expertise becomes even more important as routine work gets automated.But this isn’t just a story about jobs disappearing.It’s about a deeper shift:🔹 What happens when AI can do the repetitive work people once used to learn their profession? 🔹 Could AI widen inequality between people who know how to use it and those who get left behind? 🔹 And with millions of baby boomers leaving the workforce, are we actually heading toward a shortage of workers rather than a shortage of jobs?At the centre of the discussion is a harder question:If AI changes how people build expertise, which skills should the next generation actually spend years developing?Because the biggest risk may not be that AI takes every job, but that we fail to develop the people needed for the jobs that remain.
Fintech Founder: This Trillion-Dollar AI Shift Will Be 10x BIGGER Than DotCom
What happens when AI starts reshaping the financial system faster than banks, regulators, and even investors can adapt?In this conversation, Greg Cox explores the next era of fintech, why AI could create …
Show notes
What happens when AI starts reshaping the financial system faster than banks, regulators, and even investors can adapt?In this conversation, Greg Cox explores the next era of fintech, why AI could create entirely new financial products, and why traditional banks may be both more vulnerable and more valuable than ever. He also breaks down the risks behind AI investment, cybersecurity, cognitive offloading, and what happens when enormous amounts of capital are built on technology that is still evolving incredibly quickly.But this isn’t just a story about fintech.It’s about a deeper shift:🔹 What happens when AI makes financial services dramatically easier to build, personalise, and scale?🔹 Could traditional banks regain an advantage simply by becoming the safest place to keep your money?🔹 And if trillions of dollars flow into AI before the economics are proven, how dangerous could the correction become?At the centre of the discussion is a harder question:If AI becomes deeply embedded across finance, business, and the wider economy before we fully understand its risks, can institutions adapt fast enough without sacrificing security, judgment, and financial stability?Because AI may transform finance, but the biggest consequences could come from what gets built around it.
AI Industry Insider: We Ignored The Most Dangerous Part Of AI For YEARS
What happens when AI becomes capable enough to solve extraordinary problems, but still unreliable enough to confidently get simple ones wrong?In this conversation, Fernando Lucini explains why the real AI …
Show notes
What happens when AI becomes capable enough to solve extraordinary problems, but still unreliable enough to confidently get simple ones wrong?In this conversation, Fernando Lucini explains why the real AI revolution is not just about the models themselves, but the systems, tools, and “harnesses” being built around them. Drawing on decades across Autonomy, HP, Accenture, and Faculty, he breaks down what AI can genuinely do today, where it still fails, and why companies need to understand both the hype and the truth at the same time.But this isn’t just a story about better models.It’s about a deeper shift:🔹 What happens when AI becomes more capable faster than it becomes reliable?🔹 Could open-source models and the software built around them reshape where the real value in AI gets created?🔹 And if powerful systems still hallucinate, forget context, and behave unpredictably, how much autonomy should we actually give them? At the centre of the discussion is a harder question:If AI can solve problems humans cannot while still failing at tasks we consider basic, how do we build businesses and systems that capture its upside without trusting it more than we should?Because the future of AI may depend less on creating one perfect model, and more on learning how to harness imperfect ones.
Google DeepMind CEO’s Claim That AI Will Cure Most Diseases in the Next 10 Years
Alexander Weber (Guest) https://www.linkedin.com/in/alexander-weber-83852aa1/Ezra Chapman (Host) https://www.linkedin.com/in/ezrachapman/
Astrophysicist: What The White House UAP Files Really Reveal
What do the newly released UAP files actually prove, and are they evidence that humanity is not alone?In this conversation, theoretical astrophysicist Dr. Mekhi Dhesi examines the White House UAP disclosures …
Show notes
What do the newly released UAP files actually prove, and are they evidence that humanity is not alone?In this conversation, theoretical astrophysicist Dr. Mekhi Dhesi examines the White House UAP disclosures, the credibility of military sightings, and the scientific case for extraterrestrial life.But this isn’t just a story about unexplained objects.It’s about a deeper question:🔹 Why are trained military pilots encountering objects they cannot identify?🔹 Does the scale of the universe make intelligent alien life almost inevitable?🔹 And if another civilization exists, why have we never received clear evidence of contact?At the centre of the discussion is a harder question:If humanity discovered that we were not alone, would it unite us, frighten us, or completely change how we understand our place in the universe?Because proving alien life exists would not just change what we know about space. It would change what we believe about ourselves.
AI Futurist: Why 90% Of Knowledge Work Could Be Replaced
AI And Cognitive Decline: How outsourcing thought could make capable people stronger while others become less capableIntelligence Without Wisdom: Why rapidly increasing intelligence does not guarantee better …
Show notes
- AI And Cognitive Decline: How outsourcing thought could make capable people stronger while others become less capable
- Intelligence Without Wisdom: Why rapidly increasing intelligence does not guarantee better judgment
- The End Of The Linear Life: Why education, career, income, and retirement no longer follow a predictable path
- The Future Of Knowledge Work: How AI could replace 90% of repetitive intellectual work
- Human Compliance: Why the darkest AI future is one where people stop thinking and challenging authority
Crime Scene Expert: What Your Digital Footprint Could Reveal About You
What happens when the science we trust most in court turns out to be far less certain than television taught us to believe?In this conversation, Professor Ruth Morgan explores forensic science, the danger of …
Show notes
What happens when the science we trust most in court turns out to be far less certain than television taught us to believe?In this conversation, Professor Ruth Morgan explores forensic science, the danger of false certainty, and why the real challenge is often not collecting evidence, but interpreting it well. She explains how bias enters investigations, where AI could help, where it could make things worse, and why better justice may depend on asking better questions, not just finding faster answers.But this isn’t just a story about crime scenes and lab work.It’s about a deeper shift:🔹 What happens when evidence is treated as objective, even though human judgment shapes every stage of how it is collected and understood?🔹 Could AI improve forensic work while also accelerating error, bias, and overconfidence?🔹 And if truth in court is always more fragile than people think, how should science, law, and technology work together? At the centre of the discussion is a harder question:If justice depends not just on evidence but on interpretation, context, and human judgment, can we build systems that become more accurate without becoming more blindly confident?Because the danger in forensic science is not just getting the answer wrong, but believing the answer was certain all along.
Silicon Valley Insider: Why The AI Boom Could Collapse Faster Than People Think
What happens when the people closest to technology start warning that AI is moving faster than society can safely absorb?In this conversation, Julian Lighton draws on decades in Silicon Valley to explain why …
Show notes
What happens when the people closest to technology start warning that AI is moving faster than society can safely absorb?In this conversation, Julian Lighton draws on decades in Silicon Valley to explain why advanced AI may be far more dangerous than most leaders realise, why infrastructure and institutions are not ready, and why the real business case behind the current race is often far weaker than it appears. He also reflects on what long careers around power, ambition, and success have taught him about focus, discipline, regret, and building a life that is actually worth living.But this isn’t just a story about smarter systems.It’s about a deeper shift:🔹 What happens when AI capability outpaces the world’s ability to control it?🔹 Could the biggest risk come not just from the models, but from the incentives, egos, and speculation driving them forward?🔹 And if success in business still leaves people unfulfilled, what should we actually be building toward?At the centre of the discussion is a harder question:If both AI and ambition can scale faster than wisdom, how do we avoid building systems, careers, and societies that become powerful before they become meaningful?Because the future may depend not just on what we can build, but on whether we know why we are building it.
UCL Professor: Why AI’s Biggest Problem Might Be Energy, Not Intelligence
What happens when the future of AI depends less on bigger models and more on rebuilding the hardware underneath them?In this conversation, Anthony Kenyon explores semiconductors, nanoelectronics, and …
Show notes
What happens when the future of AI depends less on bigger models and more on rebuilding the hardware underneath them?In this conversation, Anthony Kenyon explores semiconductors, nanoelectronics, and neuromorphic computing, and explains why the next leap in AI may come not from scaling the same architecture forever, but from designing systems that work more like the brain.But this isn’t just a story about faster chips.It’s about a deeper shift:🔹 What happens when today’s computing model becomes too energy-hungry to keep scaling?🔹 Could neuromorphic systems unlock a new generation of AI by copying the brain’s efficiency instead of brute-forcing more compute?🔹 And if that shift does happen, which countries, companies, and technologies will shape what comes next?At the centre of the discussion is a harder question:If current AI infrastructure is already running into limits around power, memory, and scale, can the next era of computing arrive before those bottlenecks slow everything down?Because the next breakthrough in AI may not come from bigger models, but from a completely different machine.
The More You Trust AI, The Less Valuable You Become (and what to do instead)
What happens when artificial intelligence stops helping us think and starts quietly doing the thinking for us?In this conversation, Prof. Dr. Michael Gerlich explores cognitive offloading, the convenience trap …
Show notes
What happens when artificial intelligence stops helping us think and starts quietly doing the thinking for us?In this conversation, Prof. Dr. Michael Gerlich explores cognitive offloading, the convenience trap, and why AI may be changing not just how we work, but how we learn, remember, judge, and stay intellectually sharp.But this isn’t just a story about better tools.It’s about a deeper shift:🔹 What happens when convenience becomes more valuable than critical thinking?🔹 Could AI improve efficiency while slowly weakening memory, curiosity, and judgment?🔹 And if this shift happens quietly, will society react before the long-term damage is done?At the centre of the discussion is a harder question:If AI becomes the default system for solving problems, can we keep the human ability to think deeply, question well, and stay meaningfully involved in our own decisions?Because the real danger of AI may not be that it becomes smarter than us, but that we stop using the intelligence we already have.
Google DeepMind CEO: “The Moment AI Starts Improving Itself EVERYTHING Changes”
What happens when the most important person in AI might also be the one thinking most seriously about how to keep it safe?In this conversation, Sebastian Mallaby, biographer of Demis Hassabis, explores what …
Show notes
What happens when the most important person in AI might also be the one thinking most seriously about how to keep it safe?In this conversation, Sebastian Mallaby, biographer of Demis Hassabis, explores what makes the DeepMind founder so unusual, how he thinks about intelligence, competition, science, and risk, and why his role at the centre of AI may matter more than most people realise.But this isn’t just a story about one remarkable founder.It’s about a deeper shift:🔹 What kind of person ends up building the systems that could reshape civilization?🔹 Could the same technology that solves science and medicine also create entirely new forms of danger?🔹 And if AI becomes too powerful to fully understand, who do we trust to guide it?At the centre of the discussion is a harder question:If AI is becoming the most important technology of our lifetime, how much depends on the character, judgment, and ambition of the people building it?Because the future of AI may not just be about intelligence, but about who gets to direct it.
The Dangerous Truth About Humans Merging With AI
What happens when artificial intelligence stops being just a tool and starts becoming part of what it means to be human?In this conversation, Steve Fuller explores transhumanism, human AI hybridization, and the …
Show notes
What happens when artificial intelligence stops being just a tool and starts becoming part of what it means to be human?In this conversation, Steve Fuller explores transhumanism, human AI hybridization, and the philosophical questions that emerge when technology begins to reshape identity, knowledge, work, aging, and the future of the species.But this isn’t just a story about better tools.It’s about a deeper shift:🔹 What happens when the boundary between mind and machine becomes harder to define?🔹 Could longer lives, fewer jobs, and more powerful AI force us to rethink freedom, purpose, and even reproduction?🔹 And if transhumanism becomes real, who gets access to that future and who gets left behind?At the centre of the discussion is a harder question:If AI can fundamentally change human capability and lifespan, can society adapt fast enough to handle the moral, political, and cultural consequences?Because the future of AI may not just change how we live, but what we are.
How Will People Generate Wealth In An AI Economy? Dinis Guarda
What happens when a handful of companies and countries control the intelligence shaping how the rest of the world learns, works, and governs?In this conversation, Dennis Garde explores sovereign AI, digital …
Show notes
What happens when a handful of companies and countries control the intelligence shaping how the rest of the world learns, works, and governs?In this conversation, Dennis Garde explores sovereign AI, digital colonialism, and why nations may need their own AI infrastructure if they want to protect their data, institutions, and future prosperity.But this isn’t just a story about better tools.It’s about a deeper shift:🔹 What happens when most advanced AI models are controlled by a few American or Chinese companies?🔹 Could AI deepen global inequality by widening the gap between those who build the systems and those who depend on them?🔹 And how do nations create abundance with AI without giving up sovereignty, trust, and long-term stability?At the centre of the discussion is a harder question:If AI is becoming the infrastructure behind education, healthcare, finance, and government, how do countries stay independent without cutting themselves off from the future?Because the battle over AI may not just be about intelligence, but about who gets to shape civilization.
Britain’s Top Lawyer Discusses Mythos and AI Security
What happens when the people building and deploying artificial intelligence still do not fully understand where it could lead?In this conversation, Jonathan Kewley, one of Britain’s leading lawyers on AI …
Show notes
What happens when the people building and deploying artificial intelligence still do not fully understand where it could lead?In this conversation, Jonathan Kewley, one of Britain’s leading lawyers on AI, explores how companies, governments, and institutions are trying to navigate a technology that is moving faster than the rules designed to contain it.But this isn’t just a story about better tools.It’s about a deeper shift:🔹 What happens when businesses adopt AI before they truly understand the legal, ethical, and societal risks?🔹 Could the biggest danger of AI come not from the models themselves, but from how blindly people deploy them?🔹 And how do leaders make decisions about a technology even the experts still struggle to predict?At the centre of the discussion is a harder question:If AI could become the best or worst thing to happen to humanity, how do we build guardrails strong enough to shape its direction before the consequences are irreversible?Because with AI, the real risk is not just what it can do, but what we fail to prepare for.
Why You Feel Uneasy About AI (Even If You Can’t Explain Why)
What happens when AI stops being just a business tool and starts reshaping trust, power, and the way institutions make decisions?In this conversation, Shefaly Yogendra explores how AI is changing leadership …
Show notes
What happens when AI stops being just a business tool and starts reshaping trust, power, and the way institutions make decisions?In this conversation, Shefaly Yogendra explores how AI is changing leadership, governance, and human judgment, and why the biggest risks may come not from the technology itself, but from the systems and incentives surrounding it.But this isn’t just a story about better tools.It’s about a deeper shift:🔹 What happens when leaders begin relying on AI to make decisions they barely understand?🔹 Could automation deepen existing problems in trust, power, and accountability rather than solve them?🔹 And how should institutions adapt when intelligence becomes abundant, but wisdom does not?At the centre of the discussion is a harder question:If AI is becoming embedded in business, politics, and public life, can we build systems that stay human, accountable, and trustworthy as the technology scales?Because the real challenge may not be building smarter systems, but becoming wise enough to govern them.
Eline Van der Velden: AI Actor Creator Reveals Hollywood’s Ugly Truth #0044
What happens when AI stops being just a creative tool and starts becoming the face of entertainment itself?In this conversation, Eline Van der Velden explores what it means to build an AI actor, why Hollywood …
Show notes
What happens when AI stops being just a creative tool and starts becoming the face of entertainment itself?In this conversation, Eline Van der Velden explores what it means to build an AI actor, why Hollywood has reacted so strongly, and how AI could reshape acting, storytelling, and the future of content creation.But this isn’t just a story about better tools.It’s about a deeper shift:🔹 What happens when characters become ownable digital assets instead of performances tied to one human body?🔹 Could AI create more opportunities for unknown actors, filmmakers, and creators rather than just replacing them?🔹 And how will Hollywood, copyright, licensing, and creative control change when digital performers become mainstream?At the centre of the discussion is a harder question:If AI is about to transform how films, ads, and characters are created, can the industry adapt in a way that protects human talent while still embracing what this technology makes possible?Because the future of entertainment may not be less human, but differently human.
The AI Breakthrough That Could Transform Psychiatry Forever | Dr. Paris Lalousis #0043
What happens when artificial intelligence enters mental health and starts making decisions about diagnosis, treatment, and care?In this conversation, Dr. Paris Lalousis, AI and mental health expert at King’s …
Show notes
What happens when artificial intelligence enters mental health and starts making decisions about diagnosis, treatment, and care?In this conversation, Dr. Paris Lalousis, AI and mental health expert at King’s College London, explains why psychiatry remains one of the most uncertain areas of medicine, and how AI could begin to change that.But this isn’t just a story about better tools.It’s about a deeper shift:🔹 Can AI help us treat mental illness more precisely, when our current diagnoses may be fundamentally flawed?🔹 Could algorithms outperform clinicians in predicting what treatments will actually work?🔹 And what happens when people begin turning to AI not just for answers, but for support, guidance, and even therapy?At the centre of the discussion is a harder question:Can we scale mental healthcare with AI, without losing trust, human judgment, and the deeply personal nature of understanding another mind?Because in mental health, accuracy isn’t just technical.. it’s human.
AI Outgrows Humanity… Then This Happens | Rich Mulholland
What if the real threat of AI isn’t that it becomes smarter than us — but that we become softer, lazier, and less willing to think for ourselves?In this deep-dive conversation with Rich Mulholland — …
Show notes
What if the real threat of AI isn’t that it becomes smarter than us — but that we become softer, lazier, and less willing to think for ourselves?In this deep-dive conversation with Rich Mulholland — entrepreneur, author, global speaker, and sharp thinker on curiosity, relevance, and the future of human value — we explore what happens when intelligence becomes abundant, work becomes less necessary, and the world starts rewarding those who can think, communicate, and adapt faster than everyone else. While many conversations about AI focus on extinction, regulation, or productivity, Rich argues that the deeper issue is human agency. What happens to ambition, resilience, purpose, and curiosity when answers become instant, status becomes unstable, and more of life gets outsourced to machines? We discuss:🔹 Why a small group of billionaires controlling AI may be less dangerous than people think🔹 Why greed, incentives, and economics may shape the future of AI more than ideology🔹 How abundant intelligence could quietly erode curiosity, resilience, and independent thought🔹 Why communication and sales may become even more valuable in an AI-powered world🔹 How brain-computer interfaces and connected intelligence could redefine human connection🔹 Why the biggest question may not be what AI can do — but what humans should still do themselves In this episode, we also explore:• Why Rich believes most people are idea gatherers, not idea hunters• The danger of confusing endless content consumption with real curiosity• Why children need to see struggle, failure, and uncertainty — not perfect AI-generated answers• How digital twins, Neuralink, and connected systems may change the speed of thought itself• Why defining your own version of “enough” may matter more than chasing endless wealth This conversation isn’t about rejecting AI.
It’s about staying pro-human in a world where intelligence is becoming cheap, speed is becoming normal, and the temptation to outsource your thinking is everywhere.If the future belongs to those who can adapt, the real challenge is making sure we don’t lose ourselves while trying to keep up.
AI Ethics Leader: How Humans Thrive In An AI-Driven World #0041
What if the real danger of AI isn’t super intelligence — but the slow erosion of attention, trust, and human connection?In this deep-dive conversation with Iliana Grosse-Buening — a global leader in AI ethics …
Show notes
What if the real danger of AI isn’t super intelligence — but the slow erosion of attention, trust, and human connection?
In this deep-dive conversation with Iliana Grosse-Buening — a global leader in AI ethics, digital well-being, and a World Economic Forum speaker — we explore how to keep AI pro-human in a world that increasingly rewards speed, scale, and engagement over flourishing. 
While many conversations about AI focus on existential risk or productivity, Iliana argues that the deeper question is human flourishing.
How do we design AI systems that protect cognition, relationships, agency, and shared reality — rather than quietly degrading them? 
We discuss:
🔹 Why the current measure of AI “success” may be based on deception 
🔹 How AI and social platforms may be rewiring attention, memory, and critical thinking 
🔹 Why students are already feeling powerless in a world shaped by a small number of decision-makers 
🔹 Why AI literacy and digital well-being must go hand in hand 
🔹 How metrics like engagement and efficiency can quietly undermine human well-being 
🔹 Why a more global, cross-disciplinary movement is needed to keep AI pro-human 
In this episode, we also explore:
• The IEEE initiative focused on flourishing — not just harm prevention 
• Why different regions of the world are developing radically different AI narratives 
• The cognitive cost of offloading too much thinking to generative AI tools 
• Three practical ways to improve your well-being through better use of technology 
• Why one of the most important questions in AI may simply be: what does good look like? 
This conversation isn’t about rejecting AI.
It’s about refusing to sleepwalk into a future designed around shareholder value, addictive engagement, and passive dependence.
If AI is going to shape humanity, humanity has to shape AI back. 
Inside Silicon Valley: A Billion-Dollar Strategist on AI, Power & Leadership
What happens when artificial intelligence starts reshaping careers, companies, and the culture of work itself?In this deep-dive conversation with Julian Lighton — Silicon Valley strategist, executive coach, and …
Show notes
What happens when artificial intelligence starts reshaping careers, companies, and the culture of work itself?In this deep-dive conversation with Julian Lighton — Silicon Valley strategist, executive coach, and former senior leader at some of the world’s largest technology companies — we explore the real impact of AI on the workforce, leadership, and the future of careers.While many believe AI will instantly replace millions of jobs, Julian argues the reality is more complex. AI today is transforming tasks rather than entire professions — but that shift could still dramatically reshape entry-level careers, corporate structures, and how the next generation builds their future.We discuss:🔹 Why up to 25% of graduate jobs could disappear in the coming years🔹 Why AI hasn’t yet delivered the productivity boom many expected🔹 How automation is transforming professional and technical services🔹 The growing challenge for graduates entering the workforce🔹 Why Silicon Valley culture has shifted from long-term company building to short-term valuation🔹 The hidden anxiety and pressure inside modern tech companiesIn this episode we also explore:• Why telling everyone to “follow their passion” is often bad advice• The six principles successful people consistently follow• Why networking still determines long-term career success• How to rethink career strategy in an AI-driven economy• Why understanding your strengths matters more than chasing trendsJulian argues that the biggest shift AI will bring isn’t just technological — it’s how people define work, success, and identity in a rapidly changing world.The question isn’t whether the economy will change.It’s whether we’re prepared for the careers that will exist on the other side.⸻🔗 Guest & Host LinksJulian LightonLinkedIn: https://www.linkedin.com/in/julianlighton1/Ezra ChapmanLinkedIn: https://www.linkedin.com/in/ezrachapman/#podcast #artificialintelligence #futureofwork #careers #leadership #AI
Futurist: What Happens To Justice When Machines Make The Decisions? #0039
What happens when intelligence becomes the most powerful asset on Earth?In this deep-dive conversation with futurist Alistdair Wilson-Gough, we explore the future of justice, taxation, governance, and human …
Show notes
What happens when intelligence becomes the most powerful asset on Earth?In this deep-dive conversation with futurist Alistdair Wilson-Gough, we explore the future of justice, taxation, governance, and human purpose in the age of AI.From robots performing surgical-level dexterity to the collapse of traditional employment models, this episode examines what happens when automation moves from novelty to inevitability — and whether we are prepared for the consequences.We discuss:🔹 Whether AI is already more capable than we admit🔹 Why LLMs may be overestimated — and where the real power lies🔹 The future of judges, lawyers, and radiologists in an automated world🔹 Why taxation may shift from production to digital consumption🔹 The coming universal income debate🔹 Whether China can truly become the dominant global power🔹 The fragility of global currencies and soft capital🔹 The danger of outsourcing human judgment to machinesIn this episode, we also explore:• Why the current economic model may not survive AI• The psychological risks of cognitive offloading• Whether humans will lose purpose in a post-work world• The “red pill / blue pill” moment facing society• Why resilience, discomfort, and physical engagement still matter• The risk of digital dependency in a fully automated systemAlastair argues that we are living through a period as profound as the printing press — but accelerated. The shift from analog to digital is not gradual. It’s exponential.Technology may lower costs, improve medicine, and transform productivity.But it also forces a deeper question:If AI can think, decide, diagnose, and govern…What remains uniquely human?⸻🔗 Guest & Host LinksAlastair Wilson GoughLinkedIn: https://www.linkedin.com/in/alistdair-wilson-gough-77878719/Ezra ChapmanLinkedIn: https://www.linkedin.com/in/ezrachapman/#podcast #artificialintelligence #future #AI #geopolitics #technology
Tech insider: The Ugly Truth About Who Really Builds The Future #0038
What if AI isn’t as intelligent as we think — but still powerful enough to reshape everything?In this deep-dive conversation with tech investor Dan Bowyer, we explore the uncomfortable truth behind the AI gold …
Show notes
What if AI isn’t as intelligent as we think — but still powerful enough to reshape everything?In this deep-dive conversation with tech investor Dan Bowyer, we explore the uncomfortable truth behind the AI gold rush — from overhyped AGI claims to the looming bubble risk no one wants to talk about.Dan openly admits his job is to back extreme founders — the kind willing to run through walls to build the next billion-dollar company. But he also argues that we’re massively overestimating large language models… and underestimating the real transformation happening at the application layer.From Apple’s quiet AI strategy to the fragility of today’s venture capital system, this episode unpacks what happens when synthetic intelligence collides with capital markets, geopolitics, and human psychology.We discuss:🔹 Why LLMs are “not that smart” — and may never reach AGI🔹 Whether we’re at peak AI hype🔹 The AI bubble and the hidden debt risk inside Big Tech🔹 Why Apple — not OpenAI — could dominate the AI agent economy🔹 How AI is reshaping healthcare, law, and manufacturing🔹 The coming wave of autonomous agents in business🔹 Why venture capital may be broken in Europe🔹 Whether more women in power would reshape tech entirelyIn this episode, we also explore:• The psychology of founders who win in AI• Why 99% of AI corporate projects fail — and why that’s a good sign• The geopolitical shifts accelerated by AI and Trump• The future of personal AI agents controlling your digital life• Whether productivity gains will outpace job displacementThis isn’t just about technology.It’s about capital, power, morality — and who really controls the future.If AI is the Fourth Industrial Revolution, the real question becomes:Are we building the future responsibly — or just inflating the biggest bubble in history?⸻🔗 Guest & Host LinksDan BowyerLinkedIn: https://www.linkedin.com/in/danbowyer/Ezra ChapmanLinkedIn: https://www.linkedin.com/in/ezrachapman/#podcast #artificialintelligence #venturecapital #AI #technology #economy
The Immense Power Of Combining AI With Engineered Biology | Thomas Gorochowski #0037
What if we could reprogram living matter the same way we program software?In this deep-dive conversation with Professor Thomas Gorochowski, biological engineer and former Turing Fellow, we explore the rapidly …
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What if we could reprogram living matter the same way we program software?In this deep-dive conversation with Professor Thomas Gorochowski, biological engineer and former Turing Fellow, we explore the rapidly emerging field of engineering biology — and how AI is accelerating our ability to rewrite the code of life itself. From reprogramming immune cells to hunt down cancer, to designing entirely new biological machines, this episode dives into how computation and biology are merging in ways that once felt like science fiction.
We discuss:
🔹 How immune cells are already being reprogrammed to target cancer
🔹 Whether we could realistically cure the majority of diseases within 10 years
🔹 Why biology may be the most sustainable technology on Earth
🔹 The rise of biological “computation” and programmable cells
🔹 Why AI models like AlphaFold are transforming drug discovery
🔹 The economic and ethical bottlenecks slowing medical breakthroughsIn this episode, we also explore:
• The concept of biological systems as self-powering computers
• Why evolution is a self-improving loop
• The limits of “scaling” in medicine and AI
• The future of biological computing and silicon-biology hybrids
• Whether we’re approaching an exponential inflection point in human healthThis isn’t just about medicine — it’s about understanding the underlying operating system of life.
If biology is programmable, the question becomes: who writes the code?
The Big Difference Between Human & Artificial Minds With Gaurav Suri, Scientist at Stanford #0036
What if the current path to Artificial General Intelligence (AGI) is a dead end?In this deep-dive conversation with Gaurav Suri, a neuroscientist at Stanford University and co-author of The Emergent Mind, we …
Show notes
What if the current path to Artificial General Intelligence (AGI) is a dead end?In this deep-dive conversation with Gaurav Suri, a neuroscientist at Stanford University and co-author of The Emergent Mind, we explore the biological limits of Artificial Intelligence and why the "scale" hypothesis might be wrong.While tech giants are betting everything on adding more data and compute, Gaurav argues that we are hitting a "scale bottleneck". He explains why true intelligence isn't just about processing power, it’s about having biological "needs" like hunger, thirst, and survival that drive meaningful goals. Without a body, AI may never bridge the gap to true understanding.We discuss the mechanistic view of the mind, why AI empathy is merely "pattern matching" rather than shared experience, and why being a "human chauvinist" is the only way to ensure AI remains a tool rather than a master.🔹 Why "Scaling" data is no longer enough to create intelligence🔹 The "Hard Problem" of Consciousness: Can electricity create experience?🔹 Why AI can write a poem but cannot feel the "surprise" of poetry🔹 The debate on AI Relationships: Can you truly fall in love with a bot?🔹 Jevons Paradox: Why efficient AI will actually consume more human resourcesIn this video, we explore:• The "Ant Colony" metaphor: How intelligence emerges from simple units• Why AI lacks the "Goal Directedness" required for AGI• The difference between "Simulated Empathy" and biological connection• Why AI is vanilla: The problem with averaging out human creativity• How to view humanity as the "Consciousness of the Universe"This isn’t just a tech debate, it’s a neuroscience masterclass on why being "biological" is still our greatest competitive advantage in an artificial world.👉 Watch until the end for Gaurav’s reflection on why we must remain the "choice makers" in our own lives.🔗 Guest & Host LinksGaurav SuriLinkedIn: https://www.linkedin.com/in/gaurav-suri-5a68738/Ezra ChapmanLinkedIn: https://www.linkedin.com/in/ezrachapman/Pre-Order Gaurav's new book "The Emergent Mind"Macmillan: https://www.panmacmillan.com/authors/gaurav-suri/the-emergent-mind/9781035088348Amazon: https://www.amazon.co.uk/dp/B0FBWG5KR4/?bestFormat=true&k=the%20emergent%20mind&ref_=nb_sb_ss_w_scx-ent-bk-ww_k0_1_14_de&crid=T5HFUZ2VS3K6&sprefix=the%20emergent%20m#podcast #artificialintelligence #neuroscience #TheEmergentMind #AGI #philosophy
The Blueprint For AI Success In 2026 | Ray Eitel-Porter #0036
What if the biggest risk of AI isn’t that it destroys humanity, but that it makes us forget how to think?In this eye-opening conversation with Ray Eitel-Porter, Global Responsible AI Lead and author of …
Show notes
What if the biggest risk of AI isn’t that it destroys humanity, but that it makes us forget how to think?In this eye-opening conversation with Ray Eitel-Porter, Global Responsible AI Lead and author of Governing the Machine, we explore the hidden dangers of our rapid shift from "using" technology to "relying" on it.From the findings of a shocking MIT study on cognitive decline to the rise of "Agentic AI" in 2026, this episode challenges the narrative that AI is just a productivity tool. Ray argues that we are facing a crisis of "cognitive obesity" where outsourcing our thinking to algorithms might leave us unable to function when the machine stops.We discuss why 2026 will be the year of the "AI Agent", why treating AI as your best friend is a dangerous trap, and how businesses can navigate the fine line between innovation and existential risk.🔹 Why "Cognitive Obesity" is the next global health crisis🔹 The "Machine Stops" scenario: What happens if we forget how to do the work?🔹 Why 2026 is predicted to be the year of "Agentic AI"🔹 The dangers of emotional attachment and AI "best friends"🔹 How to govern the machine before it governs usIn this video, we explore:• The MIT study revealing how AI lowers cognitive engagement• Why "Agentic AI" changes everything (from advice to execution)• The risk of hallucinations vs. human error• Why we need "Universal High Income" to survive the job crisis• Practical steps to future-proof your brain against AI relianceThis isn’t just a debate about regulation, it’s a guide on how to stay cognitively fit in an age of automated intelligence.👉 Watch until the end for Ray’s prediction on the "AI Forensics" teams of the future.🔗 Guest & Host LinksRay Eitel-PorterLinkedIn: https://www.linkedin.com/in/rayeitelporterEzra ChapmanLinkedIn: https://www.linkedin.com/in/ezrachapman/#podcast #artificialintelligence #governingthemachine #futureofwork #agenticAI #technologyandsociety
Why You Should Stop Chasing Money | Rich Mulholland, Global Entrepreneur
No matter how successful you become, you may still die feeling like a failure.This conversation asks why, and whether our definition of success is fundamentally broken.In this episode, I sit down with …
Show notes
No matter how successful you become, you may still die feeling like a failure.This conversation asks why, and whether our definition of success is fundamentally broken.In this episode, I sit down with entrepreneur and global speaker Rich Mulholland to unpack ambition, ego, curiosity, money, and the psychological impact of artificial intelligence on how we measure our lives. What begins as a discussion about Elon Musk, potential, and “enough” quickly expands into a deeper examination of work, purpose, relevance, and what happens when intelligence becomes abundant.This matters now because AI is accelerating faster than our cultural frameworks can adapt. As superintelligence reshapes work, value, and status, the old scoreboards no longer hold, and many people are left chasing goals that quietly guarantee dissatisfaction.Questions this conversation confronts:Why does measuring life against “potential” almost always end in failure?What happens to ambition, ego, and curiosity as intelligence becomes cheap?Is money becoming the least interesting thing about us, and if so, what replaces it?Are we confusing purpose with work, and productivity with meaning?How does AI change what it means to feel useful, relevant, or fulfilled?In this video, we explore:Why even extreme success can still feel psychologically emptyThe hidden cost of defining yourself by wealth, status, or productivityCuriosity, ego, and aging in a world of infinite informationAI, automation, and the future of work beyond economic survivalWhy “finding your enough” may be the most radical decision you can makeWatch until the end for a reframing of ambition that challenges both hustle culture and passive optimism, and offers a clearer way to think about success in an AI-shaped world.This channel is for long-form, intellectually honest conversations about artificial intelligence, technology, and the future of humanity, without hype, shortcuts, or influencer narratives. If you’re interested in ideas that challenge your assumptions and stay with you long after the episode ends, consider subscribing.#ArtificialIntelligence #FutureOfWork #AIAndSociety #Technology #HumanPsychology
2027: The Year Everything Changes | Smartphone Pioneer David Wood
In this episode, I sit down with David Wood, a leading global futurist and pioneer of the smartphone era, to discuss the concept of “Sustainable Superabundance.”We explore his prediction for a “phase …
Show notes
In this episode, I sit down with David Wood, a leading global futurist and pioneer of the smartphone era, to discuss the concept of “Sustainable Superabundance.”We explore his prediction for a “phase transition” in 2027, where AI adoption suddenly accelerates like water turning to steam, and how this shift will drive the cost of energy, food, and healthcare toward zero.David explains why we must move beyond “Universal Basic Income” to “Universal Generous Income,” the risks of bio-tech in the wrong hands, and how humanity can transition to a post-scarcity world without collapsing into chaos.
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