Are companies preparing for an AI-powered future or reacting out of fear of being left behind?

Looking ahead to 2026, Geoff Nielson and Jeremy Roberts sit down for an unfiltered conversation about artificial intelligence, the economy, and the future of work. As AI hype accelerates across markets, boardrooms, and headlines, they ask the hard questions many leaders and workers are quietly worrying about: Are we in an AI bubble? If so, what happens when expectations collide with reality?

This episode explores whether today’s massive investment in AI, GPUs, infrastructure, copilots, and generative tools is laying the foundation for long-term value or repeating the familiar patterns of past tech bubbles like the dot-com boom and the subprime mortgage crisis. Geoff and Jeremy break down why traditional metrics like price-to-earnings ratios matter, why Nvidia and big tech dominate the narrative, and why the real risk may not be collapse but widespread underperformance.

The conversation goes far beyond markets. They dig into the impact of AI on jobs, layoffs, and corporate restructuring, challenging the idea that AI is “taking jobs” versus being used as convenient cover for economic tightening. From IT, HR, and operations to customer-facing roles, they examine how AI could reshape workforce composition, accelerate automation, and create a new and potentially unsettling employment equilibrium. You’ll also hear a candid critique of how organizations are actually using AI today and what is to come next in 2026.

Tech Trends Report 2026: https://www.infotech.com/research/ss/tech-trends-2026?utm_source=youtube&utm_medium=social&utm_campaign=research

In this video:

00:00 Just add AI to everything?

03:45 Looking ahead to 2026: Nobody knows what’s coming

07:10 Are we in an AI bubble?

12:30 Comparing AI to the dot-com and 2008 crashes

18:10 Nvidia, GPUs, and the AI Gold Rush

24:20 Why AI infrastructure may be ahead of real-world use cases.

30:40 Markets untethered from reality

36:50 is AI really taking jobs or is something else happening?

43:30 The real employment question for 2026

49:40 Corporate bloat, back-office roles, and automation

56:10 Why most AI projects fail to deliver value

1:02:45 From productivity theater to real ROI

1:09:20 Faster horses vs. Real cars in AI

1:15:40 AI 2.0: Agents, experiments, and what comes next

1:22:10 The real risk ahead: Underperformance, not collapse

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we using AI in a way that actually makes us smarter or are we unknowingly making ourselves less capable, less curious, and easier to automate?

On this episode of Digital Disruption, we are joined by artificial intelligence expert and neuroscientist, Dr. Vivienne Ming.

Over her career, Dr. Vivienne Ming has founded 6 startups, been chief scientist at 2 others, and founded The Human Trust, a philanthropic data trust and “mad science incubator” that explores seemingly intractable problems—from a lone child’s disability to global economic inclusion—for free. She co-founded Dionysus Health, combining AI and epigenetics to invent the first ever biological test for postpartum depression and change the lives of millions of families. She also develops AI tools for learning at home and in school, models of bias in hiring and promotion, and neurotechnologies to treat dementia and TBI. Vivienne was named one of “10 Women to Watch in Tech” by Inc. Magazine and one of the BBC’s 100 Women in 2017. She is featured frequently for her research and inventions in The Financial Times, The Atlantic, Quartz Magazine and the New York Times.

Dr. Vivienne Ming sits down with Geoff to unpack one of the most misunderstood truths about artificial intelligence: AI isn’t here to replace your thinking it’s here to challenge it. And whether you grow or get left behind depends entirely on how you choose to engage with it. Dr. Ming reveals why most organizations and most individuals are using AI in the worst possible way. Instead of creating leverage, they’re creating “work slop,” cognitive dependency, shallow automation, and declining human capability. She explains why the real competitive advantage in the AI age comes from productive friction, creative complementarity, and teams that know how to use AI to explore the ill-posed problems—the ambiguous, uncertain, high-value challenges machines can’t solve on their own. From how to robot-proof your company, to why AI tutors fail when they give answers, to the science of courage, reward systems, and organizational culture, this conversation is one of the most honest explorations of the future of human capability in an AI-saturated world.

In this video:

00:00 Intro

02:30 The real value of hybrid intelligence

05:00 Cognitive automation vs. true complementarity

08:20 Ill-posed problems: where humans still win

12:10 What elite performers really do differently

16:00 The paradox of AI: why more automation creates more work

18:30 How hybrid teams beat prediction markets

20:50 Inequality & imagination disease in AI

23:10 AI tutors & the golden rule: never give the answer

28:00 The nemesis prompt: how to robot-proof yourself

44:20 Courage, ethics & reward structures in organizations

54:00 Using AI without losing the human story

01:06:30 How to robot-proof your company

Connect with Vivienne:

Website: https://socos.org/about-vivienne

LinkedIn: https://www.linkedin.com/in/vivienneming/

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

If AI is becoming a “playground” for experimentation, are today’s organizations bold enough to explore it or are they still too afraid to try?

On this episode of Digital Disruption, we are joined by Kenneth Cukier, Deputy Executive Editor at The Economist and bestselling author.

Kenneth Cukier is the Deputy Executive Editor at The Economist. He is the author of several books on technology and society, notably “Framers” on the power of mental models and the limitations of AI, with Viktor Mayer-Schönberger and Francis de Vericourt, as well as “Big Data: A Revolution That Transforms How We Live, Work and Think” with Viktor. It was a NYT bestseller translated into over 20 languages, and sold over two million copies worldwide. It won the National Library of China’s Wenjin Book Award and was a finalist for the FT Business Book of the Year. Kenn also coauthored a follow-on book, “Learning with Big Data: The Future of Education”. He has been a frequent commentator on CBS, CNN, NPR, the BBC and was a member of the World Economic Forum’s global council on data-driven development.

Kenneth has spent decades at the intersection of AI, journalism, business strategy, and global policy. In this conversation, he sits down with Geoff to share candid insights on how AI is reshaping organizations, leadership, economics, and the future of work. He breaks down the real state of AI, what’s hype, what’s real, and what it means for workers, leaders, and companies. Kenneth explains how AI is shifting from automating tasks to expanding the frontier of knowledge, why today’s multi-trillion-dollar AI investment wave is both overhyped and underhyped, and how everything from healthcare to management is poised to transform. This episode explores why most companies should treat AI as a “playground” for experimentation, how The Economist is using generative AI behind the scenes, the human skills needed to stay competitive, and why great leadership now requires enabling curiosity, psychological safety, and responsible innovation. Kenneth also unpacks the growing “AI-lash,” the limits of GDP as a measure of progress, and why the organizations that learn fastest, not the ones that simply know the most, will win the future.

In this episode:

00:00 Intro

05:00 AI Today: Overhyped, underhyped, or both?

10:00 From Big Data to LLMs: How we got here

15:00 The $3 trillion AI wave: What it really signals

20:00 Automation vs. knowledge expansion

25:00 Inside The Economist: How they actually use Generative AI

30:00 Why “more content” isn’t a strategy

35:00 Leadership in the age of AI: Curiosity, judgment, culture

40:00 The skills humans must keep and why they matter more now

45:00 The rise of the “AI-lash” and public skepticism

50:00 GDP, progress, and what we’re measuring wrong

55:00 Why the fastest learners win the future

1:01:00 What can this technology really do?

Connect with Kenneth:

Connect with Kenneth:

Website: http://www.cukier.com/

LinkedIn: https://www.linkedin.com/in/kenneth-cukier-9ab56335/

X: https://x.com/kncukier

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

What does the future of work really look like when AI, identity, and culture collide?

On this episode of Digital Disruption, we’re joined by Dr. Anne-Marie Imafidon, Chair of the Institute for the Future of Work.

Anne-Marie is a leading voice in the tech world, known for her work as a trustee at the Institute for the Future of Work and as the temporary Arithmetician on Channel 4’s Countdown. A former child prodigy who passed A-level computing at 11 and earned a Master’s in Maths and Computer Science from Oxford by 20, she has since spoken globally for companies including Facebook, Amazon, Google and Mastercard. She hosts the acclaimed Women Tech Charge podcast and is a sought-after presenter who has interviewed figures such as Jack Dorsey and Sir Lewis Hamilton. Anne-Marie has received multiple Honorary Doctorates, serves on several national boards, and continues to champion diversity and innovation in tech. Her latest book, She’s In CTRL, was published in 2022.

Dr. Anne-Marie joins Geoff to break down how AI, big data, quantum, and the wider “Fourth Industrial Revolution” are transforming jobs, workplaces, identity, culture, and society. From redefining long-held beliefs about “jobs for life,” to the cultural fractures emerging between companies, workers, and society, Dr. Anne-Marie goes deep on what’s changing, what still isn’t understood, and what leaders must do right now to avoid being left behind. This conversation dives into why most AI use cases are still limited to fraud detection and customer service, and the hidden cultural blockers preventing real transformation. She emphasizes the danger of hype cycles, and how to stay focused on real value and how to build organizations that can experiment, learn, and make “high-quality mistakes.”

In this episode:

00:00 Intro

00:31 The Future of Work: What’s changing now

02:32 Generational identity, legacy jobs & why work is no longer “for life”

04:36 Work identity crisis & fragmentation of modern careers

07:45 Rethinking digital transformation & the fourth industrial revolution

11:36 Why the institute avoids the AI hype & looks beyond it

13:39 AI Hype vs. reality

17:50 High-quality mistakes

21:06 Tech design failures

23:18 Culture, customers & building organizations that reflect the real world

29:04 Destroying the “Einstein Myth” & rewriting who tech is for

39:37 First-principles thinking

50:34 Norms, unintended consequences & system-level change

55:32 When will the dust settle? ai timelines, disruption & what’s next

57:28 Closing thoughts

Connect with Dr. Ann-Marie:

LinkedIn: https://www.linkedin.com/in/aimafidon/

Instagram: https://www.instagram.com/notyouraverageami/

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

When intelligence becomes abundant, what happens to humanity’s purpose?

Andy Mills, the co-founder of The New York Times’ The Daily and creator of The Last Invention, joins us on this episode of Digital Disruption.

Andy is a reporter, editor, podcast producer, and co-founder of Longview. His most recent series, The Last Invention, explores the AI revolution, from Alan Turing’s early ideas to today’s fierce debates between accelerationists, doomers, and those focused on building the technology safely. Before that, he co-created The Daily at The New York Times and produced acclaimed documentary series including Rabbit Hole, Caliphate, and The Witch Trials of J.K. Rowling. A former fundamentalist Christian from Louisiana and Illinois, Andy now champions curiosity, skepticism, and the transformative power of listening to people with different perspectives, values that shape his award-winning journalism across politics, terrorism, culture wars, technology, and science.

Andy sits down with Geoff to break down the real debate shaping the future of AI. From the “doomers” warning of existential risk to the accelerationists racing toward AGI, Andy maps out the three major AI camps influencing policy, economics, and the future of human intelligence. This conversation explores why some researchers fear AGI, why others believe it will save humanity, how job loss and automation could reshape society, and why 2025 is becoming an “AI 101 moment” for the public. Andy also shares what he’s learned after years investigating OpenAI, Anthropic, xAI, and the people behind the AGI race.

If you want clarity on AGI, existential risk, the future of work, and what it all means for humanity, this is an episode you won’t want to miss.

In this episode:

00:00 Intro

01:00 The three camps of AI: doom, acceleration, scouts

05:00 Why skeptics aren’t driving the AI debate

07:00 Job loss, productivity & “good” vs. “bad” disruption

09:00 Existential risk & why scientists are sounding alarms

12:00 The origins of doomers and accelerationists

17:00 How AI debates escalated after ChatGPT

22:00 Why 2025 is an AI “101 moment” for the public

24:00 The tech stack wars: OpenAI, Anthropic, xAI

28:00 Why leaders joined the AI race

30:00 The accelerationist mindset

33:00 Contrarians, symbolists & the forgotten history of AI

39:00 Big Tech, branding & why AI CEOs avoid open conflict

42:00 The closed group chats of AI’s elite builders

46:00 Sci-Fi narratives vs. real-world intelligence risks

52:00 The AI bubble & why adoption is unlike any tech before

01:00:00 Are we entering a wright-brothers-to-moon-landing era?

01:10:00 What AGI means for capitalism, work & purpose

01:18:00 Why public debate needs to start now

01:20:00 What happens next

Connect with Andy:

Website: https://www.andymills.work/about

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we chasing the wrong goal with Artificial General Intelligence, and missing the breakthroughs that matter now

On this episode of Digital Disruption, we’re joined by former research director at Google and AI legend, Peter Norvig.

Peter is an American computer scientist and a Distinguished Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He is also a researcher at Google, where he previously served as Director of Research and led the company’s core search algorithms group. Before joining Google, Norvig headed NASA Ames Research Center’s Computational Sciences Division, where he served as NASA’s senior computer scientist and received the NASA Exceptional Achievement Award in 2001.He is best known as the co-author, alongside Stuart J. Russell, of Artificial Intelligence: A Modern Approach — the world’s most widely used textbook in the field of artificial intelligence.

Peter sits down with Geoff to separate facts from fiction about where AI is really headed. He explains why the hype around Artificial General Intelligence (AGI) misses the point, how today’s models are already “general,” and what truly matters most: making AI safer, more reliable, and human-centered. He discusses the rapid evolution of generative models, the risks of misinformation, AI safety, open-source regulation, and the balance between democratizing AI and containing powerful systems. This conversation explores the impact of AI on jobs, education, cybersecurity, and global inequality, and how organizations can adapt, not by chasing hype, but by aligning AI to business and societal goals. If you want to understand where AI actually stands, beyond the headlines, this is the conversation you need to hear.

In this episode:

00:00 Intro

01:00 How AI evolved since Artificial Intelligence: A Modern Approach

03:00 Is AGI already here? Norvig’s take on general intelligence

06:00 The surprising progress in large language models

08:00 Evolution vs. revolution

10:00 Making AI safer and more reliable

12:00 Lessons from social media and unintended consequences

15:00 The real AI risks: misinformation and misuse

18:00 Inside Stanford’s Human-Centered AI Institute

20:00 Regulation, policy, and the role of government

22:00 Why AI may need an Underwriters Laboratory moment

24:00 Will there be one “winner” in the AI race?

26:00 The open-source dilemma: freedom vs. safety

28:00 Can AI improve cybersecurity more than it harms it?

30:00 “Teach Yourself Programming in 10 Years” in the AI age

33:00 The speed paradox: learning vs. automation

36:00 How AI might (finally) change productivity

38:00 Global economics, China, and leapfrog technologies

42:00 The job market: faster disruption and inequality

45:00 The social safety net and future of full-time work

48:00 Winners, losers, and redistributing value in the AI era

50:00 How CEOs should really approach AI strategy

52:00 Why hiring a “PhD in AI” isn’t the answer

54:00 The democratization of AI for small businesses

56:00 The future of IT and enterprise functions

57:00 Advice for staying relevant as a technologist

59:00 A realistic optimism for AI’s future

Connect with Peter:

LinkedIn: https://www.linkedin.com/in/pnorvig/

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is “AI-first” the future of business or just another tech buzzword?

On this episode of Digital Disruption, we’re joined by former Google Chief Decision Scientist and CEO of Kozyr, Cassie Kozyrkov.

Cassie is best known for founding the field of Decision Intelligence and serving as Google’s first Chief Decision Scientist, where she helped lead the company’s AI-first transformation. A sought-after advisor and keynote speaker, Cassie has guided organizations including Gucci, NASA, Meta, Spotify, Salesforce, and GSK on AI strategy. She combines deep technical expertise with theater-trained charisma to make complex concepts engaging and actionable for executive and general audiences alike delighting audiences in over 40 countries across all seven continents, including stages at the UN, WEF, Web Summit, and SXSW.

Cassie sits down with Geoff to unpack the hidden cost of the “AI-first” hype, the dangers of AI infrastructure debt, and why real AI readiness starts with people, not technology. She reveals how leaders can architect their organizations for innovation, build human-in-the-loop systems, and create cultures that embrace experimentation instead of fearing mistakes.

Cassie exposes why 95% of organizations fail to achieve measurable ROI from AI and how leaders can finally bridge the AI value gap. This conversation dives into why AI success isn’t about tools, it’s about leadership, measurement, and mindset.

Most organizations chasing “AI transformation” see no measurable ROI not because the technology fails, but because leaders are still measuring value the old way. Generative AI success is hard to quantify when there isn’t a single “right answer,” yet many businesses keep trying to apply outdated metrics to a completely new paradigm.

In this video:

00:00 Intro

00:44 The Generative AI Value Gap: Why 95% get no ROI

02:20 The paradox of AI productivity

05:38 Why measuring AI value is harder than we think

12:04 Leadership abdication: “Just sprinkle AI on everything”

15:10 AI infrastructure debt explained

20:17 What real AI readiness looks like (beyond tech)

23:42 Humans as part of AI infrastructure

28:00 Why “AI-first” isn’t one-size-fits-all

33:31 Building human judgment into AI systems

36:19 The risks of scaling too fast

41:34 Automation vs augmentation: where leaders go wrong

44:00 The “do the work” approach to AI success

48:35 The recipe for an AI-ready organization

53:40 Guardrails, governance, and security in AI systems

57:00 Thinking probabilistically: a new mindset for leaders

1:03:20 The human side of AI transformation

1:06:45 Leading through uncertainty

Connect with Cassie:

Website: https://www.kozyr.com/about

LinkedIn: https://www.linkedin.com/in/kozyrkov/

X: https://x.com/decisionleader

YouTube: https://www.youtube.com/c/Kozyrkov

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

Why is adaptability the real superpower for leaders in the digital age?

On this episode of Digital Disruption, we’re joined by Erik Qualman, a digital leadership expert, best-selling author, and motivational speaker.

Erik is a 5x #1 Bestselling Author and Keynote Speaker who has inspired audiences in over 55 countries and reached 50 million people. Voted the #2 Most Likeable Author in the World behind J.K. Rowling, his work Socialnomics has been featured on 60 Minutes, in The Wall Street Journal, and used by organizations from the National Guard to NASA. A professor of Digital Leadership at Northwestern University, Qualman’s research and courses are studied at 500+ universities worldwide. Through his animation studio, he has partnered with brands like Disney, Oreo, Chase, and Cartier. A former MIT and Harvard edX professor and honorary doctorate recipient, Qualman is also the creator of the bestselling board game Kittycorn.

Erik joins Geoff Nielson to break down what it really means to be AI-ready. He reveals why the leaders who know how to leverage AI and adapt fast will replace those who don’t. He explains why AI is overhyped in the short term but underhyped in the long term, and how the most successful leaders of the next decade will blend Flintstones-level human connection with Jetsons-era innovation. Erik explains why adaptability and emotional intelligence (EQ) are the new competitive edge in the age of artificial intelligence. This conversation explores how AI can remove friction, save time, and ironically help us become more human, while also exploring the guardrails needed for responsible tech adoption. Erik also shares lessons from advising some of the world’s top brands including Facebook, Disney, and Sony and explains why the future favors those who fail fast, fail forward, and fail better.

In this video:

00:00 Intro

02:00 The “Flintstones First” approach to digital leadership

04:40 How AI helps us become more human

06:15 Winners, losers, and adaptability in the AI era

08:30 Emotional intelligence and leadership in a tech-driven world

11:00 The need for guardrails in AI and social media

13:00 Teaching AI and digital leadership at Northwestern

15:00 How technology is transforming the classroom

17:45 The 70/30 rule: what changes vs. what never will

19:00 Core advice for leaders and digital innovators

21:30 Avoiding hype: testing new tech like AI and Clubhouse

23:00 Lessons from Montblanc and the origins of “Digital Leadership”

25:00 The Disney+ story: digital transformation done right

27:00 Building a culture of “fail fast, fail forward, fail better”

30:00 Balancing the Flintstones and the Jetsons

Connect with Erik:

Website: https://equalman.com/

LinkedIn: https://www.linkedin.com/in/qualman/

X: https://x.com/equalman

YouTube: @equalman

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

Could AI’s biggest impact be economic, not technological?

On this episode of Digital Disruption, we’re joined by the founder of EZPR and host of Better Offline podcast, Ed Zitron.

Ed is a technology writer, public relations expert, and podcaster known for his critical takes on the tech industry and its biggest players. His work has appeared in leading outlets including The Atlantic, Business Insider, and TechCrunch. He is the author of the popular newsletter Where’s Your Ed At, launched in 2020, where he explores the intersection of technology, business, and culture. Ed also hosts the Better Offline podcast, delving into the realities of the tech industry and the ripple effects of the AI boom. With his candid insights and thoughtful commentary, Ed has become a trusted voice and sought-after speaker within the tech community.

One of the most outspoken critics of the AI boom, Ed Zitron joins Geoff to cut through the noise and talk about the truth behind generative AI. Ed breaks down why he believes AI “doesn’t work,” what’s really driving the trillion-dollar hype, and why big tech, media, and investors may be steering straight into the next Enron moment. This conversation unpacks why large language models fall short, how Microsoft’s AI Copilot has failed to deliver, and how corporate opportunism and investor “vibes” are fueling one of the biggest speculative bubbles in tech history. They also explore the “Enron-like” risks in the AI hardware race, the potential fallout for retail investors and startups, and tackle one of tech’s most misunderstood narratives, the myth of AI-driven job loss, revealing who’s really being replaced.

In this episode:

00:00 Intro

00:36 “AI doesn’t work”

02:05 The limits of LLMs

04:33 Microsoft Copilot and the illusion of productivity

07:05 The AI job myth: Who’s really being replaced?

10:00 CEOs, opportunism, and the false narrative of AI efficiency

12:00 The Salesforce example: Lies, hype, and failure to deliver

14:00 What AI can actually do

18:00 The trust problem

19:45 Media complacency and tech industry collusion

22:00 Microsoft, Nvidia, and false growth

25:00 The Enron parallels

28:30 Why investors are rewarding bad behavior

31:00 Who gets hurt when the AI bubble bursts?

35:00 Unsustainable startups and rising model costs

38:00 The coming collapse of AI infrastructure

40:00 What business leaders should do now to avoid being burned

44:30 The harsh truth about ChatGPT

49:00 What real innovation looks like: Batteries, EVs, AR, and more

54:00 The future of work beyond AI hype

Connect with Ed:

LinkedIn: https://www.linkedin.com/in/edzitron/

X: https://x.com/edzitron

Instagram: instagram.com/edzitron

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

Is the AI arms race between tech giants and nations pushing us toward a dangerous future?

On this episode of Digital Disruption, we’re joined by the founder of SingularityNET and the pioneering mind behind the term Artificial General Intelligence (AGI), Dr. Ben Goertzel.

Dr. Ben Goertzel is a leading figure in artificial intelligence, robotics, and computational finance. Holding a Ph.D. in Mathematics from Temple University, he has been a pioneer in advancing both the theory and practical applications of AI, particularly in the pursuit of artificial general intelligence (AGI) a term he helped popularize. He currently leads the SingularityNET Foundation, TrueAGI, the OpenCog Foundation, and the AGI Society, and has organized the Artificial General Intelligence Conference for over fifteen years. A co-founder and principal architect of OpenCog, an open-source project to build human-level AI, Dr. Goertzel’s work reflects a singular mission: to develop benevolent AGI that advances humanity’s collective good.

Dr. Goertzel sits down with Geoff to share his insights on the accelerating progress toward AGI, what it truly means, and how it could reshape human life, work, and consciousness. He discusses the role of Big Tech in shaping AI’s direction and how corporate incentives, and commercialization are both driving innovation and limiting true AGI research. From DeepMind and OpenAI to decentralized AI networks, Dr. Goertzel reveals where the real breakthroughs might happen. The conversation also explores the ethics of AI, the dangers of fake democratization and false compassion, and why humanity must shape AI’s evolution with empathy and awareness.

In this episode:

00:00 Intro

00:21 What is Artificial General Intelligence (AGI)?

01:10 The pace of AI progress and the hype cycle

05:44 The path from human-level AGI to superintelligence

09:20 How close are we to AGI?

13:08 Transformer vs. multi-agent systems

14:05 Which AI labs might strike AGI gold? (DeepMind, OpenAI, Anthropic)

17:07 Big Tech’s innovator’s dilemma and why true AGI may come elsewhere

20:20 Predictive coding

22:59 Why Big Tech resists new AI training paradigms

29:16 Imagining life after AGI: optimism, transhumanism, and choice

33:29 Navigating the transition from AGI to ASI

37:55 Decentralized vs. centralized control of AGI

43:20 Who (or what) will be in control

47:19 Risks of power concentration in early AGI development

51:01 Who should own and guide AGI?

53:06 Why we need participatory governance for intelligent systems

54:47 The danger of fake compassion and false democratization

1:00:50 Finding meaning in the age of intelligent machines

1:04:13 How AGI could help humanity focus on inner growth

1:07:20 – Learning how to learn: the last human advantage

Connect with Dr. Goertzel:

LinkedIn: https://www.linkedin.com/in/bengoertzel/

X: https://x.com/bengoertzel

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG