Digital Disruption with Geoff Nielson

Are we giving up our freedom for convenience without realizing it? In this episode, we sit down with Dr. Rumman Chowdhury, a globally recognized AI ethics leader featured in Time and Forbes, to unpack the real risks of artificial intelligence, Big Tech power, and data privacy. As the former Head of AI Ethics at Twitter and Accenture, Dr. Chowdhury shares an insider perspective on how Big Tech is consolidating power, why narratives around AGI and “AI intelligence” are often misleading, and how everyday tools from apps to social media, are quietly shaping a surveillance-driven ecosystem. This conversation dives into AI ethics, surveillance, and the future of work, and explores why trust in AI is declining even as adoption accelerates. We also break down the real-world implications of AI, and most importantly, how you can protect your data, reclaim your agency, and use AI more intentionally. In this video:00:00 Intro01:16 What’s wrong with AI today02:18 Why people trust AI less every year03:09 Big tech vs the technology itself04:22 Dangerous narratives about AI06:09 Anthropomorphism and moral outsourcing07:40 The myth of AGI and profit motives09:20 The economics behind AI power11:21 Consumer responsibility and the privacy paradox13:42 “I have nothing to hide” explained15:04 How big tech is consolidating control16:42 What consumers should actually do18:30 Real-world consequences of data misuse21:05 From Pokémon Go to surveillance systems22:29 The dilemma of social media and platforms26:05 Can AI still be used for good28:20 Algorithms, manipulation, and loss of agency30:12 Inside AI ethics at Twitter33:48 Why leadership and trust are changing35:17 Surveillance capitalism and public backlash37:31 How to think strategically about AI41:19 Finding agency and intentional use of AI45:06 Will society push back against AI power52:02 The role of AI ethicists and builders56:41 The future of work and automation reality01:01:32 Why expertise and discernment matter most01:06:35 Advice for business leaders using AI01:11:33 Final thoughts on agency and discernmentConnect with Dr. Rumman Chowdhury:LinkedIn: https://www.linkedin.com/in/rumman/Instagram: https://www.instagram.com/rumman_c/?hl=enOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens when AI, energy, and technology all go exponential at the same time?Salim Ismail says we’re entering a “messy decade” of disruption…In this episode, we sit down with Salim, the founding executive director of Singularity University and author of Exponential Organizations, to break down the rapid acceleration of AI, robotics, space tech, and solar energy, and what it all means for jobs, business, governments, and your future. Salim explains why AI is doubling every 8–10 weeks, how the cost of technology is collapsing, and how this shift is reshaping innovation, the workforce, and global power structures. From space-based data centers and abundant energy to the rise of AI-native companies, this conversation explores the technologies driving one of the biggest transformations of our time.Like and follow for weekly episodes.In this episode:00:00 Intro01:00 What’s actually going exponential right now03:30 The convergence of multiple exponential technologies05:00 Space tech breakthroughs & $6M rocket launches06:30 Data centers in space & infinite compute07:45 From scarcity to abundance: the big shift10:30 Real-world examples: music, communication, and industry disruption12:45 The “messy decade” before the future gets better14:00 Why institutions are breaking down (government, media, education)15:30 Star Trek vs mad max: two possible futures17:00 Why humans fear AI 20:00 Why technology is still humanity’s biggest advantage23:00 Will AI take your job?25:00 The ATM example: why jobs don’t disappear26:30 AI organizations and 80% workforce reduction myth28:30 The future of companies: small teams, big impact30:00 The rise of the creative economy32:00 Why human experience becomes more valuable34:30 AI and human experts (doctors, teachers, consultants)37:00 Which industries will be disrupted first40:00 Why governments are falling behind41:30 How to actually innovate46:30 What leaders must do right now50:00 What is an exponential organization?52:30 “What do I do on Monday?” practical advice57:00 The only strategy that works59:00 AI startups & the future of entrepreneurship01:02:00 Why most companies will fail to adapt01:06:00 How to increase organizational speed01:10:00 Leadership in the age of exponential change01:15:00 The future of nations vs cities01:20:00 Remote work vs in-person work01:25:00 Robots, AI, and the coming inner loop01:26:30 Why AGI is misunderstood01:32:00 What most people get wrong about the future01:34:00 Fixing civilization & human evolution01:37:00 Psychedelics, creativity, and human potential01:42:00 AI solving science and R&D autonomously01:48:00 Raising kids in an AI world01:52:00 The risk of losing human connection01:53:00 Where we’re headedConnect with Salim:LinkedIn: https://www.linkedin.com/in/salimismail/X: https://x.com/salimismailOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are businesses falling behind in the AI revolution?While AI is transforming everything from workflows to decision-making, many companies are facing a surprising reality: they’re becoming less prepared for AI, not more. In this episode, we sit down with Brian Solis, a globally recognized futurist and thought leader, to explore how disruptive technology is reshaping business, society, and the future of work.As Head of Global Innovation at ServiceNow, Brian shares expert insights on business innovation, AI adoption, and what it truly takes to succeed in this rapidly evolving landscape. We also talk about the growing gap between AI-native companies and traditional enterprises, the rise of the agentic enterprise, and why true AI-driven reinvention requires far more than simple automation.Like and follow for weekly episodes.In this episode:00:00 Intro00:55 Are businesses falling behind in AI? 01:30 What “AI disruption” really means for business 03:30 The hidden dangers of AI: Bias, sycophancy & atrophy 05:20 Why most companies are underusing AI (capability overhang) 07:00 The AI index explained: Why readiness is declining 08:30 AI maturity scores are dropping and here’s why10:50 Will AI-native startups disrupt enterprise giants? 13:00 How AI is reshaping jobs, roles, and workflows 15:30 The biggest myth: “AI transformation is easy” 16:30 What is the agentic enterprise? (future of AI work) 18:30 Automation vs innovation: Where AI creates real value 20:30 Why AI needs vision, not just it execution 22:30 IKEA’s $1B AI Pivot: A real business case study 25:00 AI business reinvention vs digital transformation 27:00 AI agents explained: How they actually work in business 30:00 Who manages AI? The Rise of HR and IT collaboration 33:30 The Chief Workflow Officer: A new c-suite role? 37:30 Innovation culture vs reality: Why most companies fail 45:00 Can you succeed in AI without an innovation culture? 53:00 Biggest AI myth debunked and final takeawaysConnect with Brian:LinkedIn: https://www.linkedin.com/in/briansolis/X: https://x.com/briansolisInstagram: https://www.instagram.com/briansolis/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens to leadership, meaning, and human value in the age of AI? On this episode of Digital Disruption, we’re joined by Chip Conley, the former Head of Strategy at Airbnb, New York Times bestselling author, and founder of the Modern Elder Academy. Chip joins Geoff to explore whether humans are becoming obsolete or more important than ever. Chip makes the case that while AI is commoditizing knowledge, it’s elevating the value of human wisdom, intuition, and soulful leadership. They unpack the difference between knowledge and wisdom, why AI struggles to ask the right questions, how leaders can balance efficiency with humanity, and what the future of work looks like in an AI-driven world. From philosophy and ethics making a comeback to practical frameworks and wisdom as metabolized experiences shared for the common good, this episode is for anyone navigating AI transformation, searching for meaning, or rethinking what it means to lead and work today. If AI is the age of intelligence, this conversation argues that wisdom is the real competitive advantage. Chip is an American hotelier, hospitality entrepreneur, author, and speaker who founded Joie de Vivre Hospitality, growing it into the second-largest boutique hotel brand in the U.S., and later served as Airbnb’s Head of Global Hospitality & Strategy. A New York Times bestselling author of books like Peak, Emotional Equations, and Wisdom@Work, he founded the Modern Elder Academy, the first “midlife wisdom school,” to reframe aging and midlife. He is a prominent speaker, board member, and advocate for social impact initiatives.In this episode:00:00 Intro00:27 Are humans becoming obsolete in the age of AI?01:08 What is Chip Conley’s core philosophy today?01:27 Knowledge vs. wisdom: Why it matters more than ever02:30 AI, intelligence, and the limits of answers03:16 Why AI can’t ask the right questions (yet)04:06 Human intuition, storytelling, and experience06:19 Is AI a useful tool for leaders?07:06 How to use AI effectively as a leader07:43 Efficiency vs. soulfulness in work09:18 The human + AI partnership 11:27 What is “soulfulness” in leadership?14:10 Leadership, agency, and accountability15:30 Leaders as resource allocators17:17 Great leaders create future leaders18:29 Defining soulfulness: Empathy, intuition & connection20:19 Why soulful leaders feel different21:36 Is society losing its soul?22:25 Why scarcity makes wisdom more valuable24:27 Leadership, culture, and emotional contagion27:04 “Win at All Costs” vs. soulful leadership28:16 Is being human a weakness in business?29:53 The return of philosophy, ethics & humanities31:09 Why wisdom is making a comeback34:23 The future of work and what changes37:31 AI as a partner, not a replacement38:20 New careers: Coaches, curators & meaning makers39:04 What is Wisdom?42:18 Viktor Frankl & the equation for meaning44:24 Purpose vs. meaning explained46:47 Growth mindset vs. Know-it-all culture49:32 Turning pain into wisdom 50:29 The Midlife “U-Curve” of happiness53:21 The “Diet of Despair” in modern media59:19 Advice for young people in the AI era01:02:10 Why usefulness matters more than youthConnect with Chip:LinkedIn: https://www.linkedin.com/in/chipconleysf/X: https://x.com/ChipConleyInstagram: https://www.instagram.com/chipconley/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we in an AI bubble or at the beginning of the biggest technological convergence cycle since the Industrial Revolution?On this episode of Digital Disruption, we’re joined by the CEO of the Future Today Strategy Group and tech futurist Amy Webb.Amy joins Geoff Nielson to unpack what 2026 really looks like through the lens of artificial intelligence, programmable biology, quantum computing, biological computing, geopolitics, and systems-level change. Amy argues that we’ve officially entered a new convergence cycle, a rare historical moment where AI, biotech, computing architectures, economic systems, and geopolitics collide to create an entirely new reality. This isn’t incremental innovation. It’s structural transformation. If you’re looking for a conversation grounded in data-backed frameworks to help you navigate disruption, understand convergence cycles, and build real strategic vision in an age of uncertainty, this episode is for you. Tune in to hear what “creative destruction” truly means for business leaders, how power is shifting between Big Tech, governments, and capital markets, why “future-proofing” is a myth, and why many CEOs are falling short when it comes to long-term strategic foresight. Amy is recognized as the global authority who transformed the practice of strategic foresight into a rigorous, data-driven discipline. A pioneering quantitative futurist, she established the field’s foundational methodologies that today guide leaders, organizations, and governments in anticipating disruption, shaping the future, and securing long-term growth. Ranked the #4 Most Influential Management Thinker in the World by Thinkers50, Amy is regarded as one of the most important voices on the future of technology, business, and society. Forbes named her “one of the five women changing the world,” and the BBC recognized her among its 100 Women of the Year. In this video:00:00 Intro 01:08 Where are we in 2026? A world in technological “Typhoon”01:49 What is a convergence cycle? (Industrial revolution to internet era)04:14 Why AI is the foundation of this new era05:04 Systems-level change vs trend stacking06:19 From AI winters to generative AI breakthroughs07:27 Power shifts: OpenAI, Microsoft, Google & Competitive Dynamics08:31 Winners vs losers in the convergence economy09:26 Fear, FOMO & leadership paralysis12:17 Rethinking regulation & geopolitical power shifts15:40 Why “Future-Proofing” is a myth17:14 AI capital flood: Is there a bubble?19:25 Enterprise AI & the 80% workforce threshold23:27 The attention economy & AI hype27:28 Where AI actually creates real impact28:11 Programmable biology & DeepMind’s Evo 230:00 Climate solutions, agriculture & synthetic biology31:59 Dolly the Sheep & why transparency matters38:19 mRNA, public trust & technology communication40:15 The polycompute future: AI + quantum + biological computing41:01 Quantum computing’s business implications42:20 Brain organoids & biological computers46:48 Creative destruction: What must die for you to survive?49:00 Why evolution isn’t enough anymore51:47 Why leaders avoid dangerous conversations52:39 Strategic foresight & data-backed vision56:36 Why AI navel-gazing is procrastination57:23 Leadership in an age of convergenceConnect with Amy:LinkedIn: https://www.linkedin.com/in/amywebb/X: https://x.com/amywebbInstagram: https://www.instagram.com/amywebbfuturist/Our links: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 really replacing software engineers, or just changing how they work?On this episode of Digital Disruption, we’re joined by Bala Muthiah, Director of Engineering at Lyft. Bala sits down with Geoff to cut through the hype around AI in software development and explain what’s actually changing inside high-performing engineering teams and what that means for the future of work. From vibe coding and AI-powered prototyping to production-ready systems, productivity gains, and the reality behind 10x (or 100x) engineer claims, Bala shares a grounded perspective on why true improvements are closer to 10–20%, not exponential overnight disruption. They discuss engineering leadership in the AI era, bridging skeptics and evangelists, why value creation matters more than lines of code, the importance of customization over out-of-the-box AI, data privacy and governance responsibilities, the growing digital divide, and the critical role of curiosity, culture, and trust in building modern tech teams. Bala is a technology leader who builds high-performing teams and AI that enhances human connection. Beyond his technical leadership, he serves as a startup advisor and served as an advisory board member at Defy Ventures (nonprofit focused on prison reform), reflecting his belief that community impact and innovation should grow together. He emphasizes that AI with humans in the forefront shapes everything he does. AI. He promotes positive aspects of AI while recognizing that leaders must guide its development responsibly.In this episode:00:00 Intro00:57 Why this is the most pivotal moment in tech02:21 Bridging the AI dreamers and skeptics03:18 Productivity vs. value creation04:44 Vibe Coding: Hype vs. reality05:27 Democratizing software development06:09 Prototyping vs. production code08:17 Will AI reduce the need for engineers?12:25 What engineers should focus on now13:59 Curiosity as a core engineering trait15:34 Why engineers must be close to customers17:28 Feature slop & intentionality20:39 Lyft’s real-time AI design workflow (cursor example)23:32 When AI is (and isn’t) truly real-time25:18 Custom AI vs. out-of-the-box tools26:55 Data ethics, privacy & governance in ai29:04 A framework for sensitive data31:18 Why leaders must act before regulation32:38 AI Hype: Utopia vs. doomsday narratives36:23 Culture as a competitive advantage38:55 What makes a great engineering leader40:42 Common mistakes new tech managers make45:19 From “sell” to “tell”47:55 Leading hybrid & remote engineering teams49:46 The 10x (or 100x?) engineer debate53:29 Advice for young engineers55:23 The future of work56:55 Bridging the digital divide58:51 “Give Before You Take” philosophyConnect with Bala:LinkedIn: https://www.linkedin.com/in/balaarjunan/X: https://x.com/balaarjunanOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What does it actually take to lead in the age of AI?On this episode of Digital Disruption, we’re joined by Deborah Liu, former CEO of Ancestry and former VP of Facebook Marketplace at Meta.Deborah joins Geoff to share a candid, practical look at modern leadership in 2026. Drawing on her experience scaling billion-user platforms and transforming legacy organizations, she explains why “adding AI” isn’t a strategy and what it truly means to build an AI-native company.They unpack Facebook’s mobile-first pivot and what it teaches about leading through disruption, why adaptability may be the most important executive skill of the next decade, and how CEOs should think about AI governance, security, and enterprise guardrails. Deborah also discusses building with a founder mindset inside large organizations and creating a culture where innovation comes from the bottom up.This conversation also explores the human side of leadership and why communication makes up 80% of the job.Deborah was most recently President and CEO of Ancestry, where she brought the legacy company into its next phase of growth. In her prior role at Meta, she turned persistence into a platform. The idea for Facebook Marketplace came to her during her first interview, though it took six years of strategic thinking and tenacious advocacy to build what would become a global marketplace serving over a billion people. She also architected Facebook’s first mobile ad products and payments infrastructure, proving that the most powerful solutions emerge when you connect the right people, ideas, and opportunities. Her 20+ years in tech began with integration work at PayPal and eBay — complex projects that taught her how to see the connections others miss.In this video:00:00 Intro01:00 What Being a CEO Means in 202606:30 Rebuilding a legacy company for the AI era07:20 Facebook’s mobile-first pivot (stock price crisis)10:45 The power of top-down buy-in12:00 Big bets vs incremental change15:00 The “Future Us” decision-making framework19:35 How to build great products21:00 Fall in love with the problem, not the solution22:45 AI: Blessing or curse for product teams?24:30 AI governance, security & data risks26:45 Are developers becoming obsolete?28:30 Why senior engineers are more valuable in AI30:00 Should CEOs own AI strategy?34:30 Magic wand dinners & listening as a leader36:00 Remote work vs in-person culture40:00 Breaking the CEO archetype44:00 Failure as a career advantage47:00 Communication is 80% of leadership51:00 Why experts often fail as managers53:30 Building a culture of innovation58:00 Scaling infrastructure to unlock product velocity 1:10:00 Parenthood & career stalls (the honest truth)1:15:00 Networking for introverts1:20:00 Adaptability: The most important skill of the next decade1:21:30 Closing thoughtsConnect with Deborah:LinkedIn: https://www.linkedin.com/in/deborahliu/X: https://x.com/debliu_Our links: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 actually going to replace developers? Or is the hype getting ahead of reality?On this episode of Digital Disruption, we’re joined by Sebastian Raschka, AI Research Engineer and author.Sebastian Raschka sits down with Geoff Nielson to unpack the real state of Large Language Models (LLMs) in 2026. As an LLM research engineer, Sebastian bridges deep technical expertise with practical, real-world AI implementation. In this conversation, he cuts through AI hype to focus on what’s actually achievable with modern LLMs, reasoning models, reinforcement learning, and inference scaling and where the limitations still exist. Sebastian explains why most companies should not build a large language model from scratch, but also why understanding the fundamentals may be one of the most important investments technology leaders can make. This conversation breaks down: ◼️Why coding is currently the strongest LLM use case ◼️Why “reasoning” models still fail simple tasks like counting letters in “strawberry” ◼️The reality behind Math Olympiad gold-level AI claims ◼️The true cost of training large models (millions in GPU compute) ◼️The privacy risks of uploading proprietary data into APIs ◼️How enterprises should think about fine-tuning vs API-based prompting ◼️Why benchmarks and leaderboards can be misleading Sebastian Raschka has over a decade of experience in artificial intelligence and machine learning. His work bridges academia and industry, serving as a Senior Engineer at Lightning AI and as a faculty member at the University of Wisconsin–Madison. He is the author of Build a Large Language Model from Scratch and is widely recognized for his practical, code-driven approach to AI education and research. His expertise lies in LLM research, transformer architectures, reinforcement learning, and the development of high-performance AI systems, with a strong focus on real-world implementation.In this video:00:00 Intro01:23 The Rise of “Reasoning” and Thinking Models03:06 Inference scaling vs training scaling06:17 What LLMs are actually good (and bad) at07:09 The “Strawberry” Problem and Reasoning Limits09:00 Tool use and why LLMs don’t need to count letters10:20 Math Olympiads & self-refinement techniques12:01 Why coding is the killer use case13:28 Does AI make developers obsolete?18:02 The Reality of 10x developer productivity claims21:43 Generalist vs specialized models23:53 Build from scratch vs fine-tune vs API prompting25:01The true cost of training an LLM27:33 API customization vs owning your model29:12 Who should build an LLM from scratch?33:16 Data requirements & why you need terabytes34:28 Enterprise data challenges35:40 Retrieval-Augmented Generation (RAG) explained46:05 Multi-agent systems & tool calling49:48 The problem with LLM benchmarks55:43 Using LLMs as judges58:00 Biggest misconceptions about LLMs1:04:19 Reinforcement learning with verifiable rewards1:06:32 Advice for technology leaders1:11:48 Escaping AI hype through fundamentalsConnect with Sebastian:LinkedIn: https://www.linkedin.com/in/sebastianraschka/X: https://x.com/rasbtConnect with Sebastian:LinkedIn: https://www.linkedin.com/in/sebastianraschka/X: https://x.com/rasbt Our links: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 artificial intelligence strengthening democracy or quietly reshaping power in ways we’re not prepared for?On this episode of Digital Disruption, we’re joined by world-renowned security technologist and author Bruce Schneier.Bruce is described by the Economist as a "security guru," he is best known as a refreshingly candid and lucid security critic and commentator. He works at the intersection of security, technology, and people. and has been writing about security issues on his blog since 2004 and monthly newsletter since 1998. He is a fellow and lecturer at Harvard’s Kennedy School, a board member of the Electronic Frontier Foundation, and the Chief of Security Architecture at Inrupt, Inc.Bruce joins Geoff to explore one of the most important questions: Will AI strengthen democracy or quietly undermine it? From government services and public policy to cybersecurity, labor, and the justice system, Bruce breaks down how artificial intelligence acts as a power-magnifying technology, amplifying both the best and worst intentions of those who use it. Drawing from real-world examples in Germany, Brazil, Japan, France, Canada, and the United States, this conversation examines where AI is already reshaping democratic institutions. He also outlines four concrete strategies for steering AI toward democratic outcomes: resisting harmful uses, reforming the AI ecosystem, responsibly deploying AI where it helps, and fixing the underlying societal problems AI tends to amplify.This conversation also dives into: ◼️How AI can improve government efficiency without replacing human judgment ◼️The risks of AI concentration in the hands of powerful corporations and governments ◼️AI’s impact on work, jobs, and hiring in an era of automation ◼️The role of regulation, reform, and resistance in shaping AI’s future ◼️Whether AI will ultimately democratize power or reinforce inequality In this video:00:00 Intro02:10 AI as a power-magnifying technology05:00 The four ways AI can help or harm democracy07:20 Real-World AI use in elections and civic engagement (Germany & Japan)10:00 AI in courts, justice systems, and public administration (Brazil)12:30 Journalism, transparency, and AI as an investigative tool15:00 Human-in-the-loop: Why oversight still matters18:20 Designing AI that can say “yes” but not “no”21:00 AI, Work, hiring, and the automation arms race24:00 Fraud, trust, and remote work in the AI Era27:00 Does AI democratize power or reinforce it?30:00 Trustworthy AI vs. “good enough” AI33:00 When AI is forced on citizens without choice36:00 Regulation, markets, and the myth of the AI arms race39:00 What leaders should ask before deploying AI42:00 Jobs, backlash, and AI-driven inequality44:00 Lessons from blockchain and past tech hype cycles48:00 AI, cybersecurity, and the attacker vs. defender balance52:00 The future of AI skills and careers55:00 Steering AI toward democracyConnect with Bruce:Facebook: https://www.facebook.com/bruce.schneierOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What does the future of AI really look like as we head toward 2026, beyond the hype, headlines, and fear-driven narratives?On this episode of Digital Disruption, we’re joined by internationally recognized advisor, speaker, and researcher on AI strategy, Walter Pasquarelli.Walter is one of the world’s leading voices on ethical and strategic AI. He has advised governments, global institutions, and leading technology companies on AI governance, policy, and readiness, and brings a grounded perspective on what it really takes to lead in the age of artificial intelligence.Walter joins Geoff to unpack what’s actually happening with artificial intelligence and what most media coverage gets wrong. He brings a 360-degree view of AI adoption and how AI is moving out of boardrooms and into everyday life, reshaping how people think, decide, work, and relate to technology. This conversation dives into: Why AI adoption is accelerating among consumers not just enterprises The rise of AI companions, humanoid robots, and everyday AI use The real risks behind automation anxiety, data privacy, and emotional dependency What “AI psychosis” is and why it’s a growing concern Why AI literacy matters more than fear, hype, or blind regulation How AI is reshaping work, leadership, and global competitiveness In this video:00:00 Intro01:14 AI’s trajectory toward 202602:09 AI moves from boardrooms to living rooms03:16 Humanoid robots: From screens to physical bodies05:35 Household robots, prestige, and consumer adoption07:33 Military, drones, and high-stakes AI applications08:46 Self-driving cars as robotics, not just vehicles13:49 Automation anxiety and ethical reality18:30 Shifting authority from humans to algorithms19:58 Power concentration and data privacy risks22:49 AI, mental health, and emotional dependency28:11 Why regulation alone will always lag33:25 Business leaders’ biggest AI misconceptions36:49 Data, talent, and capability gaps42:18 Estonia, strategy, and digital leadership44:42 Advising governments: What leaders must do49:49 AI, sector disruption, and the future of work53:22 Why top performers benefit most from AI56:14 Judgment, curation, and human excellenceConnect with Walter:LinkedIn: https://www.linkedin.com/in/walter-m-pasquarelli/?originalSubdomain=ukX: https://x.com/waltpasquarelliOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What if AI becomes the most consequential technology in human history? On this episode of Digital Disruption, we’re joined by Nina Schick, geopolitical analyst and one of the world’s leading voices on AI. Nina Schick is a globally recognized expert on AI, geopolitics, and power. She was among the first to forecast the societal impact of AI-generated content and now leads the conversation on Industrial Intelligence, the idea that AI is not just software, but a geopolitical and industrial transformation. Nina sits down with Geoff to unpack how intelligence itself is becoming a geopolitical weapon. She explains why we are entering the Age of Intelligence, where non-biological intelligence may soon rival or surpass human intelligence, reshaping economics, warfare, democracy, labor, and global power structures This conversation goes far beyond AI tools and chatbots. We explore: Why AGI may arrive sooner than expected How AI infrastructure and scaling laws are reshaping global power What AI means for warfare, democracy, and national security How near-zero-cost intelligence will transform work and leadership In this episode:00:00 Intro01:33 The AI scaling laws accelerating toward AGI03:09 Excitement vs fear: how disruptive will AI really be?05:16 Deepfakes, information warfare, and early AI misuse06:58 AI’s true killer app: scientific discovery08:49 Intelligence as a utility and the speed of global disruption10:38 Why AI is becoming the biggest political issue of our time12:12 Concentration of power and the rise of AI monopolies14:33 Technology, history, and why power always follows innovation16:18AI infrastructure, hyperscalers, and trillion-dollar CapEx19:05 AI as hard power and American technological dominance21:15 NATO, national security, and autonomous warfare23:55 The end of American hegemony and the rise of hard power politics27:36 Democracy vs authoritarianism in the AI race29:48 Why trivial consumer AI is a strategic failure35:52 What AI deployment really means for businesses39:13 The myth of AI tools vs intelligence as a capability41:41 Will AI actually cause mass layoffs?46:32 Asset ownership in a world of cheap intelligence50:24 How AI empowers individuals and emerging economies52:51 The most important skills for the AI age55:38 Why being human matters more than ever56:41 Resilience, risk, and the futureConnect with Nina:LinkedIn: https://www.linkedin.com/in/ninaschick/X: https://x.com/NinaDSchickVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is the metaverse actually dead or just badly branded?On this episode of Digital Disruption, we’re joined by Christian Venables, co-founder of Radical Realities.Christian specializes in immersive technology and AI, staying at the forefront of emerging tools, platforms, and workflows. With a strong foundation in architecture and design, he has transitioned into extended reality (XR), exploring the evolving possibilities of virtual reality (VR), augmented reality (AR), and spatial computing. He is the Co-Founder of Radical Realities, a global immersive studio of creative innovators operating entirely virtually. The studio delivers experiences that transcend the physical world, spanning metaverse development, gaming, AR/VR/MR, CGI, VFX, and AI consultancy. Throughout his career, Christian has led and contributed to immersive projects for globally recognized brands including Coachella, Universal, Disney, Cartier, and Hyundai.Christian sits down with Geoff to break down why the metaverse will be rebranded and not abandoned. The real future isn’t cartoon avatars or fantasy worlds, but spatial computing, AR glasses, and ambient interfaces that blend seamlessly into everyday life. Despite years of hype, backlash, and false hope, the metaverse may finally be entering its most practical and powerful phase. Christian explains why the term itself may disappear, while the underlying technologies XR, spatial computing, AI-driven 3D design, and wearable AR glasses, are already reshaping how we work, learn, design, and collaborate. From Meta Ray-Ban display glasses and neural wristbands to Gravity Sketch, Unreal Engine, and AI-assisted worldbuilding; This conversation explores how immersive computing is moving beyond gimmicks into real-world utility, especially across architecture, engineering, education, and the creative industries.In this video:00:00 Intro03:00 Is the metaverse dead or just misbranded?06:00 Spatial computing vs virtual worlds09:00 Why AR glasses matter more than headsets12:00 Smart glasses: why this wave is different15:00 Neural wristbands and gesture-based control18:00 How quickly humans become dependent on tech21:00 The split between human-made and AI-generated culture24:00 Augmenting creativity instead of replacing it27:00 Designing entirely inside VR30:00 Gravity Sketch: true 3D creation explained34:00 Why spatial collaboration beats screens38:00 Real-world use cases: architecture & manufacturing42:00 Why mouse and keyboard are reaching their limits47:00 AI + XR: generating worlds in real time52:00 What needs to happen before immersive tech scales56:00 Should immersive computing be back on our radar?Connect with Christian:LinkedIn: https://www.linkedin.com/in/christian-venables-74542836/Instagram: https://www.instagram.com/csavenables/X: https://x.com/CsavenablesVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens when the people building artificial intelligence quietly believe it might destroy us? On this episode of Digital Disruption, we’re joined by Gregory Warner, Peabody Award–winning journalist, former NPR correspondent, and host of the hit AI podcast The Last Invention.Gregory Warner is a versatile journalist and podcaster. He has been recognized with a Peabody Award and other awards from organizations like Edward R. Murrow, New York Festivals, AP, and PRNDI. Warner's career includes serving as an East Africa correspondent, where he covered the region's economic growth and terrorism threats. He has also worked as a senior reporter for American Public Media's Marketplace, focusing on the economics of American health care. His work has been recognized with a Best News Feature award from the Third Coast International Audio Festival.Gregory sits down with Geoff for an honest conversation about the AI race unfolding today. After years spent interviewing the architects, skeptics, and true believers behind advanced AI systems, Gregory has come away with an unsettling insight: the same people racing to build more powerful models are often the most worried about where this technology is heading. This episode explores whether we’re already living inside the AI risk window, why AI safety may be even harder than nuclear safety, and why Silicon Valley’s “move fast and fix later” mindset may not apply to superintelligence. It also examines the growing philosophical divide between AI doomers and AI accelerationists. This conversation goes far beyond chatbots and job-loss headlines. It asks a deeper question few are willing to confront: are we building something we can’t control and, doing it anyway? In this video:00:00 Intro03:00 AI models that already behave like elite hackers05:00 Why the AI risk window may already be open06:30 What AI safety actually means (and why it’s so hard)12:00 Human-in-the-loop: safety feature or illusion?15:00 AI as an alien intelligence, not a human one19:00 The Silicon Valley AI arms race explained21:00 OpenAI, DeepMind, Anthropic, xAI: who’s racing and why25:00 The “Compressed Century” and radical AI optimism27:00 Can AI actually solve humanity’s biggest problems?33:00 Capital, competition, and the pressure to deploy37:00 Is AI more dangerous than nuclear weapons?39:00 The problem with comparing AI to past technologies43:00 What happens to human agency in an AI-driven world?45:00 How AI reshapes creativity, journalism, and truth53:00 The quiet assumptions built into AI systems55:00 Why optimism and fear both miss the full picture59:00 What responsibility do users have?01:01:00 The most important question we’re not asking about AIConnect with Gregory:LinkedIn: https://www.linkedin.com/in/radiogrego/Instagram: https://www.instagram.com/radiogrego/Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens to jobs, money, and meaning when intelligence becomes cheaper than labor and humans are no longer the smartest ones in the room?On this episode of Digital Disruption, we’re joined by Emad Mostaque, founder of Stability AI and a leading voice in the global AI revolution.Emad Mostaque is a businessman, mathematician, and former hedge fund manager. He is the co-founder and was CEO of Stability AI, the company behind the popular text-to-image generator Stable Diffusion. With a master’s degree in mathematics and computer science from Oxford, Emad Mostaque has significantly contributed to artificial intelligence. His vision for Stability AI was to “build the foundation to activate humanity’s potential” through open-source generative AI.Emad sits down with Geoff to explore a future that may arrive far sooner than most people expect. He argues that within the next 1,000 days, artificial intelligence will fundamentally reshape the global economy, upending work, capitalism, enterprise software, and even how we define human value. Drawing from his book The Last Economy, Emad lays out a stark and deeply thought-provoking framework for understanding what comes next when cognitive labor becomes economically irrelevant. This conversation explores the inevitabilities of exponential AI progress, including why intelligence is becoming “too cheap to measure,” how AI agents will replace many jobs done behind a screen, and the coming shift from human-plus-AI teams to AI-only systems. Beyond the economics, Emad also tackles the human question: where meaning comes from in a world where AI outperforms us at most cognitive tasks. He argues that resilience in the AI age will depend less on job titles and more on community, networks, relationships, and how deeply individuals engage with the technology itself.In this video:00:00 Intro04:30 What is “The Last Economy”?08:45 Intelligence becomes too cheap to measure13:30 The three possible AI futures18:00 Are humans becoming the weakest link?22:15 The rise of economic agents27:00 Digital doubles and the end of white-collar work31:45 Enterprises racing toward zero employees36:30 Why AI is cheaper than human labor (by orders of magnitude)41:15 Software, SaaS, and the collapse of enterprise moats46:00 The internet after AI agents50:15 Who controls the “AI next to you”?54:30 Open-Source vs Big Tech AI58:45 The first one-person billion-dollar company1:03:30 What humans are still for1:07:00 How to prepare for the AI economy nowConnect with Emad:LinkedIn: https://www.linkedin.com/in/emad-mostaque-9840ba274/?originalSubdomain=ukX: https://x.com/EMostaqueFacebook: https://www.facebook.com/mostaquee/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 artificial intelligence humanity’s greatest salvation, or the most dangerous force we’ve ever unleashed?Artificial intelligence is no longer a future concept, it’s a force already reshaping geopolitics, economics, warfare, and the human experience itself. In this year in review episode of Digital Disruption, we bring together the most provocative, conflicting, and urgent ideas from this past year to confront the biggest question of our time: What does AI actually mean for humanity’s future?Across more than 40 conversations with leading technologists, journalists, researchers, and futurists, one theme dominated every debate, AI. Some guests argue that artificial general intelligence (AGI) and superintelligence could trigger an extinction-level event. Others believe AI may usher in an era of total abundance, solving humanity’s hardest problems. And still others claim today’s AI hype is little more than marketing smoke and mirrors.This episode puts those worldviews head-to-head.In this episode:00:00 The AI singularity is here05:00 Existential threat or greatest opportunity?10:00 Why no one agrees on ai’s future15:00 The race toward AGI and superintelligence20:00 The control problem nobody has solved25:00 Intelligence has no morality30:00 Capitalism, venture capital, and the AI arms race35:00 Is AI just a marketing illusion?40:00 Generative AI: Power, limits, and misuse45:00 Autonomous weapons and modern warfare50:00 Fear as the driver of dangerous innovation55:00 Why AI is not like nuclear weapons1:00:00 The first and second AI dilemmas1:05:00 Handing decisions over to machines1:10:00 Collapse, abundance, or course correction?Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

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=researchIn this video:00:00 Just add AI to everything?03:45 Looking ahead to 2026: Nobody knows what’s coming07:10 Are we in an AI bubble? 12:30 Comparing AI to the dot-com and 2008 crashes18:10 Nvidia, GPUs, and the AI Gold Rush24:20 Why AI infrastructure may be ahead of real-world use cases.30:40 Markets untethered from reality36:50 is AI really taking jobs or is something else happening?43:30 The real employment question for 202649:40 Corporate bloat, back-office roles, and automation56:10 Why most AI projects fail to deliver value1:02:45 From productivity theater to real ROI1:09:20 Faster horses vs. Real cars in AI1:15:40 AI 2.0: Agents, experiments, and what comes next1:22:10 The real risk ahead: Underperformance, not collapseVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow 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 Intro02:30 The real value of hybrid intelligence05:00 Cognitive automation vs. true complementarity08:20 Ill-posed problems: where humans still win12:10 What elite performers really do differently16:00 The paradox of AI: why more automation creates more work18:30 How hybrid teams beat prediction markets20:50 Inequality & imagination disease in AI23:10 AI tutors & the golden rule: never give the answer28:00 The nemesis prompt: how to robot-proof yourself44:20 Courage, ethics & reward structures in organizations54:00 Using AI without losing the human story01:06:30 How to robot-proof your companyConnect with Vivienne:Website: https://socos.org/about-vivienneLinkedIn: 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 Intro05:00 AI Today: Overhyped, underhyped, or both?10:00 From Big Data to LLMs: How we got here15:00 The $3 trillion AI wave: What it really signals20:00 Automation vs. knowledge expansion25:00 Inside The Economist: How they actually use Generative AI30:00 Why “more content” isn’t a strategy35:00 Leadership in the age of AI: Curiosity, judgment, culture40:00 The skills humans must keep and why they matter more now45:00 The rise of the “AI-lash” and public skepticism50:00 GDP, progress, and what we’re measuring wrong55:00 Why the fastest learners win the future1:01:00 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/kncukierVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow 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 Intro00:31 The Future of Work: What’s changing now02:32 Generational identity, legacy jobs & why work is no longer “for life”04:36 Work identity crisis & fragmentation of modern careers07:45 Rethinking digital transformation & the fourth industrial revolution11:36 Why the institute avoids the AI hype & looks beyond it13:39 AI Hype vs. reality17:50 High-quality mistakes21:06 Tech design failures23:18 Culture, customers & building organizations that reflect the real world29:04 Destroying the “Einstein Myth” & rewriting who tech is for39:37 First-principles thinking50:34 Norms, unintended consequences & system-level change55:32 When will the dust settle? ai timelines, disruption & what’s next57:28 Closing thoughtsConnect 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=podcastFollow 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 Intro01:00 The three camps of AI: doom, acceleration, scouts05:00 Why skeptics aren’t driving the AI debate07:00 Job loss, productivity & “good” vs. “bad” disruption09:00 Existential risk & why scientists are sounding alarms12:00 The origins of doomers and accelerationists17:00 How AI debates escalated after ChatGPT22:00 Why 2025 is an AI “101 moment” for the public24:00 The tech stack wars: OpenAI, Anthropic, xAI28:00 Why leaders joined the AI race30:00 The accelerationist mindset33:00 Contrarians, symbolists & the forgotten history of AI39:00 Big Tech, branding & why AI CEOs avoid open conflict42:00 The closed group chats of AI’s elite builders46:00 Sci-Fi narratives vs. real-world intelligence risks52:00 The AI bubble & why adoption is unlike any tech before01:00:00 Are we entering a wright-brothers-to-moon-landing era?01:10:00 What AGI means for capitalism, work & purpose01:18:00 Why public debate needs to start now01:20:00 What happens nextConnect with Andy:Website: https://www.andymills.work/aboutVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG