Ezra Chapman #Curious

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.

Ezra Chapman #Curious is a technology podcast hosted by Ezra Chapman, with 57 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Ezra Chapman hosts Ezra Chapman #Curious, a technology show with 57 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Ezra Chapman #Curious

  Astrophysicist: What The White House UAP Files Really Reveal

  Jul 29, 202627 min

  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.

  ListenShow Notes
• 

  Ezra Chapman #Curious

  AI Futurist: Why 90% Of Knowledge Work Could Be Replaced

  Jul 22, 20261h 12m

  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

  ListenShow Notes
• 

  Ezra Chapman #Curious

  Crime Scene Expert: What Your Digital Footprint Could Reveal About You

  Jul 15, 20261h 13m

  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.

  ListenShow Notes
• 

  Ezra Chapman #Curious

  Silicon Valley Insider: Why The AI Boom Could Collapse Faster Than People Think

  Jul 1, 202648 min

  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.

  ListenShow Notes
• 

  Ezra Chapman #Curious

  The More You Trust AI, The Less Valuable You Become (and what to do instead)

  Jun 17, 20261h 27m

  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.

  ListenShow Notes

Recent guests on Ezra Chapman #Curious. Study who booked and why before you pitch.

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.