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Digital Disruption with Geoff Nielson

Info-Tech Research Group

The Next Industrial Revolution is Already Here

Digital Disruption is where industry leaders and experts share insights on leveraging technology to build the organizations of the future.

As intelligent technologies reshape our lives and our livelihoods, we speak with the thinkers, the doers and innovators who will help us predict and harness this disruption. Join us as we explore how to adapt to and harness digital transformation.

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  • 30 episodes
  • weekly
  • Avg 1 hr 11 min
  • English

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  • Monday · 1 hr 31 min

    Is AI Already Conscious? Google’s Blaise Agüera y Arcas Explains

    Is AI consciousness already here and can we reclaim our technological optimism? Google’s Blaise Agüera y Arcas shares why he believes AGI has already arrived and what AI can teach us about consciousness, cooperation, and the human mind. Blaise joins us on this episode of Digital Disruption to talk about AI consciousness, large language models, and why intelligence is inherently social. He explains how AI agent swarms work together, what recursive self-improvement looks like today, and why he questions the idea that smarter machines will inevitably dominate humanity. He questions why we find it easier to imagine catastrophe than a better future. And this conversation examines how negative news shapes our expectations of AI, and why taking its risks seriously can coexist with optimism about its potential. From AI alignment and mass surveillance to jobs and economic inequality, Blaise considers whether our institutions are ready for the changes ahead. He shares how AI could accelerate progress in medicine, robotics, and climate solutions, while emphasizing the work needed to turn those possibilities into reality. This episode asks an important question: As AI becomes more capable, how do we make sure the benefits reach everyone? Follow for more conversations about AI, technology, innovation, and digital transformation. In this episode: 00:00 Intro 02:12 Rethinking artificial intelligence 04:35 Can technology be considered alive? 06:13 What does it mean for AI to be conscious? 08:23 Multi-agent systems and the role of self-awareness 11:48 Could AI have a subjective experience? 17:49 What split-brain experiments reveal about consciousness 20:49 Building your AI strategy with Infotech 21:56 The Self: One mind or many parts? 23:38 How LLMs differ from human minds 28:19 Octopus intelligence, AI agent swarms, and identity 32:52 Why Human Intelligence Is Collective 38:19 Why Blaise believes AGI is already here 43:59 Multi-agent AI and the next frontier of intelligence 47:25 Recursive self-improvement and the singularity 50:41 AI coding agents and the risks of faster automation 54:18 AI Alignment: whose values should AI follow? 58:20 Will smarter AI dominate humanity? 1:01:42 Mass surveillance, power, and human disempowerment 1:04:09 AI breakthroughs in medicine, robotics, and space 1:08:12 Why are we so pessimistic about the future? 1:11:29 Why AI doom gets more clicks 1:13:16 Taking AI researchers’ fears seriously 1:16:42 Nostalgia and the accelerating pace of change 1:21:08 Is our economy ready for AI? 1:24:07 AI, job loss, and the fear of losing income 1:26:36 What should leaders and society do next? 1:29:23 AI, climate change, and clean energy 1:31:06 Moving AI computing into space 1:31:42 Final thoughts 1:32:06 About Infotech Connect with Blaise: LinkedIn: https://www.linkedin.com/in/blaise-ag%C3%BCera-y-arcas-85626a42/ X: https://x.com/blaiseaguera IG: https://www.instagram.com/blaiseaguera Our links: 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

  • October 5 · 1 hr 11 min

    The Other AI Revolution: Why Predictive AI will Overtake Generative AI in 2027

    Predictive AI often gets ignored, yet it may hold the real key to business value in the current tech landscape. Machine learning expert Eric Siegel, author of The AI Playbook and Predictive Analytics, joins the Digital Disruption podcast to explain why organizations should invest at least as much in predictive AI as they do in generative AI. He breaks down how predictive AI can improve real-world operations, why so many AI pilots fail to reach deployment, and where the promise of autonomous AI agents encounters reliability challenges. While generative AI captures the headlines, Eric argues that more dependable returns often come from systems that predict outcomes and improve decision-making. The conversation explores the differences between predictive and generative AI, why meaningful business value comes from deployment rather than impressive demos, and the limitations of fully autonomous AI agents and artificial general intelligence. Tune in to learn how predictive AI could make generative AI more reliable, why business leaders and data scientists need to work together, and whether AI will really cause a job apocalypse. Like and follow for more conversations on AI, technology, innovation, the future of work, and digital transformation. 00:00 Why businesses may be investing in the wrong AI 00:47 Predictive AI vs. generative AI 03:01 How large language models fit into predictive AI 06:59 What kind of AI is solving real-world problems? 08:06 The two “wows” of AI: Impressive demos vs. deployment 09:28 Build your AI strategy with Info-Tech 10:37 Why predictive AI is still delivering business value 12:32 Why most AI pilots fail to reach production 16:25 AI hype and mismanaged expectations 19:31 AI agents, AGI, and the promise of autonomy 20:44 Can predictive AI make generative AI more reliable? 23:57 Why full AI autonomy remains unrealistic 26:59 Large language models vs. human intelligence 29:21 The limits and diminishing returns of AI models 31:35 What businesses are getting wrong about AI 35:35 Bridging the gap between technology and business leaders 37:18 Why leaders need a semi-technical understanding of AI 38:59 Three questions every predictive AI project must answer 42:22 Will AI replace developers and other technical roles? 49:29 Who should own AI strategy and accountability? 53:41 Is AI creating the productivity gains we were promised? 55:49 Could future technology overcome today’s AI limitations? 59:21 How organizations can unlock more value from AI 1:01:43 Eric Siegel’s six-step AI deployment framework 1:04:42 Why AI is a business improvement project, not a tech install 1:06:02 What’s new in The AI Playbook 1:09:30 Eric’s advice for business and technology leaders 1:10:46 About Info-Tech Connect with Eric: LinkedIn: https://www.linkedin.com/in/predictiveanalytics/ X: https://x.com/predictanalytic?lang=en IG: https://www.instagram.com/eric_siegel/ Our links: 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

  • September 28 · 1 hr

    AI Humanoid Robots Have Already Entered the Workforce. Should You Care?

    The robot workforce is already here. AI-powered humanoid robots are entering factories and warehouses to address a growing labor gap, but are they filling jobs or replacing the people who do them? Peggy Johnson, CEO of Agility Robotics, joins us to talk about how Digit is moving from robotics demonstrations into real workplaces. She explains why humanoid robots could become essential to manufacturing and logistics, how AI is accelerating their capabilities, and why safety remains the biggest barrier to widespread adoption. From physical AI and labor shortages to robot fleet managers and the future of work, this episode looks beyond the fear of robot overlords to ask: how will humans and robots work together in the years ahead? Subscribe for more conversations on AI, technology, innovation, the future of work, and digital transformation. 00:00 Why humanoid robots may be essential 00:47 Peggy Johnson, CEO of Agility Robotics 01:41 Are humanoid robots creating a dystopian future? 03:43 How workers respond to robots in the workplace 05:42 Why build robots in the human form? 07:27 Will humanoid robots replace human jobs? 11:45 Why reshoring manufacturing will require robotics 14:12 Info-Tech AI strategy 14:42 What humanoid robots could do by 2032 17:35 The biggest barrier to adoption: Robot safety 19:17 Why robots in the home are still years away 22:13 How big and powerful is agility robotics’ Digit? 24:44 Can humanoid robot accidents be prevented? 28:29 Competing with Elon Musk and Tesla Optimus 30:56 What separates deployment from a robotics demo 33:37 How companies deploy humanoid robots 37:01 Which industries are adopting robotics? 39:24 Scaling production to meet demand 41:08 How AI is accelerating humanoid robotics 45:36 How digit makes decisions on the factory floor 48:52 Hardware and software upgrades for robots 50:57 What comes after agility robotics’ Digit? 53:22 Will robots eventually do everything humans can? 55:58 The future of physical AI and automation 58:13 Peggy Johnson’s advice for business and tech leaders 59:32 About Info-Tech Connect with Peggy: LinkedIn: https://www.linkedin.com/in/peggyljohnson/ X: https://x.com/agilityrobotics IG: https://www.instagram.com/agility_robotics/ Our links: 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

  • September 21 · 59 min

    AI Researchers Are Panicking | What Comes Next is Worse Than Nuclear Bombs

    What is PDoom, and why are the people building artificial intelligence willing to risk human extinction? Kevin Roose, a New York Times technology columnist, Hard Fork co-host, and author of The AGI Chronicles, shares what he learned from interviewing more than 150 people inside the world’s leading AI companies. Kevin joins us on Digital Disruption to talk about what artificial general intelligence really means and how fear, ego, rivalry, and mistrust are accelerating the race between OpenAI, Anthropic, and Google DeepMind. He also explains why AI leaders compare this moment to the Manhattan Project: if they don’t build AGI first, someone more dangerous might. Kevin also shares why he estimates a 10% chance of AI-caused extinction and discusses the private fears of AI researchers, government regulation, autonomous AI agents, and whether the AI boom is a bubble or the beginning of a profound transformation. This episode moves beyond the hype to ask an important question: If advanced AI is inevitable, how much control do we still have over what happens next? Subscribe and follow for more conversations about AI, technology, innovation, and digital transformation. In this episode: 00:00 Why AI builders fear human extinction 00:43 Inside the race to build AGI 01:24 What does AGI actually mean? 05:16 AI safety warnings or marketing hype? 07:27 The rivalries driving the AI race 08:44 Building a boardroom-ready AI strategy 09:51 The personal feuds behind AGI 10:58 AI’s Manhattan Project mindset 12:27 Is AI the new atomic bomb? 14:58 Can advanced AI be contained? 16:28 AI regulation and the global arms race 17:35 What is P(doom)? 19:54 What will force governments to act? 21:29 What AI researchers say in private 23:08 Why the public backlash is growing 26:15 Why Kevin Roose changed his mind about AI 29:42 Is advanced AI inevitable? 32:28 AGI and the point of no return 34:38 The race to automate AI research 36:23 AI and gradual human disempowerment 40:10 What happens when AI masters your skills? 42:18 Will AI liberate us or replace us? 44:18 The AI claims Kevin does not believe 46:21 Is the AI boom a financial bubble? 50:20 AI labs and economic concentration 55:08 Inside the AGI chronicles 57:07 How should people prepare for AI? 58:29 About Info-Tech #ai #futureofwork #technologypodcast #aibubble #bigtech #artificialintelligence #technology #datacenter #agi #anthropic #futureofai Connect with Kevin: LinkedIn: https://www.linkedin.com/in/kevin-roose/ X: https://x.com/kevinroose IG: https://www.instagram.com/kevinroose/ Our links: 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

  • September 14 · 1 hr 20 min

    There Is No AI Race. Inside the Trillion-Dollar Lie

    Why have the United States and China pulled so far ahead in the global technology race? Mehran Gul, author of The New Geography of Innovation, argues that the answer goes far beyond individual companies or breakthrough technologies. In this episode, we sit down with Mehran to discuss how successful innovation ecosystems are actually built, why Silicon Valley remains so difficult to replicate, and how China rapidly emerged as a global technology superpower. We also talk about why Europe and India have struggled to produce technology giants at the same scale, and how talent, capital, universities, government, and entrepreneurship shape long-term competitiveness. Mehran also breaks down the extraordinary concentration of money flowing into AI companies like OpenAI, Anthropic, and Nvidia, whether today’s AI valuations are sustainable, and why a major market correction could still happen without ending America’s technological dominance. From AI investment and venture capital to Silicon Valley, China, Europe, India, and the future of global innovation, this episode looks beyond the AI hype to ask a much bigger question: who will actually shape the next era of technology? Subscribe and follow for more conversations with the world’s leading thinkers on AI, technology, innovation, and digital transformation. In this episode: 00:00 The AI bubble and America’s technology lead 01:47 The new geography of innovation 05:30 How China became a technology superpower 09:13 Can other countries replicate China’s success? 13:17 What does “innovation” actually mean? 16:21 Are tech valuations measuring real innovation? 21:03 Does geography determine who wins in technology? 25:01 Will the U.S. and China dominate the next decade? 29:31 Why Europe’s push for tech sovereignty is struggling 33:05 Can government policy actually create innovation? 37:24 PayPal vs. Skype: How innovation creates more innovation 39:47 Is America’s technology dominance a zero-sum game? 43:52 Who is the world’s third-largest technology power? 45:07 Why “indispensability” may matter more than tech sovereignty 47:00 What This global tech race means for business leaders 48:32 Why AI investment is becoming more concentrated 51:29 Are we betting too much on a few tech leaders? 53:35 What Japan’s collapse can teach us about U.S. tech 56:13 Could the AI bubble actually burst? 59:22 Could China overtake the U.S. in Technology? 1:03:29 When government helps and hurts innovation 1:05:51 Predictions for the next era of global technology 1:07:50 Do We need to redefine innovation? 1:10:02 Where business leaders should look for innovation 1:14:02 Why venture capital isn’t actually global 1:18:00 Final thoughts 1:19:41 About Info-Tech Research Group Connect with Mehran: LinkedIn: https://www.linkedin.com/in/mehrangul?originalSubdomain=ch X: https://x.com/mehrangul_ Our links: 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

  • September 7 · 1 hr 15 min

    The AI Bubble Isn't the Dot-Com Bubble. It's Worse

    Are we in an AI bubble? Veteran Silicon Valley investor Bill Reichert says yes, but that doesn’t mean the AI revolution is slowing down. In this episode we sit down with Bill Reichert, General Partner at Pegasus Ventures, to discuss the unprecedented investment pouring into AI, why many AI startups will fail, and where the next wave of innovation could emerge. This conversation highlights everything from data centers and quantum computing to China’s growing technology ecosystem and what businesses need to do to innovate and compete. Bill also shares his “Yellow Jacket Paradox,” raising a bigger question about the future of AI: If biological intelligence can accomplish so much with so little energy, could a fundamentally new AI architecture eventually disrupt today’s LLMs, data centers, and AI leaders? Subscribe and follow for more conversations with the world’s leading thinkers on AI, technology, innovation, and digital transformation. In this episode: 00:00 The AI bubble is here 01:02 Why this tech cycle is different 03:30 Is AI growth sustainable? 04:18 Why most AI startups will fail 06:11 What separates AI winners from the hype 09:08 The “unfair advantage” in AI 10:59 Where is the next big AI opportunity? 13:16 Investing beyond generative AI 18:13 Why AI is becoming a commodity 19:05 The data center and energy opportunity 20:17 How AI is transforming every industry 22:23 Is AI changing venture capital? 26:13 Does more investment create better technology? 29:01 China, the US, and the global innovation race 34:28 The race for quantum computing 36:51 Is China really just copying the west? 40:06 Why big companies struggle to innovate 45:54 Startups as corporate innovation labs 47:29 How to spot an overhyped tech vendor 49:13 Why companies need to test before they invest 51:04 Why innovation pilots fail 52:49 Escaping “pilot hell” 54:54 Will the pace of innovation ever slow down? 57:30 How AI changes the future of work 59:48 Does AI mean we’ll have to work harder? 01:03:06 The leadership mistake that causes burnout 01:06:08 Control vs. unlimited growth 01:07:12 The “Yellow Jacket Paradox” 01:09:29 Why today’s AI architecture may be wrong 01:11:13 Will today’s data centers become obsolete? 01:13:38 The price of innovation 01:14:08 Closing thoughts Connect with Bill: LinkedIn: https://www.linkedin.com/in/billreichert/ Our links: 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

  • August 31 · 1 hr 1 min

    AI Has Made Everything Worse | Hany Farid on the Internet's Truth Problem

    Hany Farid, one of the world’s leading experts on deepfakes and digital forensics, joins us to explain why AI-generated content is pushing us toward a world where we can no longer trust what we see, hear, or even who we’re talking to online. From AI-generated misinformation and social media manipulation to voice cloning, deepfake video calls, and North Korean IT workers infiltrating major companies, Hany breaks down how rapidly the threat landscape is evolving. He explains why humans are not good at detecting deepfakes, how digital forensics experts actually identify manipulated media, and why organizations need to rethink cybersecurity, remote hiring, and digital identity. This episode also dives into Big Tech’s role in the crisis, whether regulation and liability can make technology safer, the growing influence of large language models on how we access information, and what it will take to rebuild trust online. Despite the risks, Hany remains optimistic about AI’s potential. The challenge, he argues, is learning from the mistakes of the social media era and finding a way to harness AI’s power without sacrificing safety, security, and trust. Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, and digital transformation. In this video: 00:00 North Korean IT workers are already inside companies 00:41 Welcome to a “trust no one” digital world 01:49 How much of the internet is already fake? 04:59 Are we heading toward the dead internet? 07:06 What happens when we can’t agree on facts? 08:20 The existential threat of a post-truth world 09:49 Could AI control the information we see? 11:33 Who is manipulating us online? 13:20 How AI is supercharging scams and fraud 15:41 Why you can’t reliably detect a Deepfake 17:28 Should Big Tech be held liable? 19:37 Hany’s Advice: Get social media off your phone 21:26 Can liability force Big Tech to change? 24:25 Should kids be banned from social media? 25:37 The real problem with social media’s business model 28:08 Will Big Tech control the future of AI? 31:20 “China will beat us” and the case against AI regulation 33:31 How experts actually detect deepfakes 36:16 How real-time face swap deepfakes work 39:39 The Deepfake threat facing businesses 40:25 AI fraud is already costing companies millions 41:47 How fake workers get hired 42:49 Why voice biometrics are no longer secure #ai #futureofwork #technologypodcast #cybersecurity #deepfakes #digitaltrust #bigtech #aivoice #digitaltransformation #futureofjobs #futureofai #tedtalk Connect with Hany: LinkedIn: https://www.linkedin.com/in/hany-farid-40a97935/ Our links: 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

  • August 24 · 1 hr 12 min

    How Google Lost Its Way | Former Google Insider Claire Stapleton

    Claire Stapleton spent 12 years at Google, going from one of the company's biggest believers to one of its most prominent employee organizers. In this episode, former Google communications leader, Google Walkout organizer, and Don’t Be Evil author Claire Stapleton reveals what happened inside Google as its celebrated culture of openness, employee empowerment, and idealism began to change. She takes us inside Google’s transformation from a company that believed people were at the heart of its success to a Big Tech giant grappling with bureaucracy, employee distrust, workplace activism, and questions about its values. She explains what led thousands of Google employees to walk out in protest, what happened after employees challenged leadership, and why speaking up inside powerful organizations can come with serious consequences. We also talk about AI and the future of work, tech layoffs, corporate culture, employee activism, leadership, workplace ethics, the changing relationship between employers and employees, and why the sweeping promises coming from today’s AI companies remind Stapleton of Google’s early years. As companies once again compete for elite technology talent while promising to change the world, could Silicon Valley be repeating the same cycle? Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, leadership, and digital transformation. In this video: 00:00 Intro 00:10 How Google’s culture changed 01:33 Claire Stapleton’s 12 years at Google 06:14 Inside Google’s early “change the world” culture 10:50 Shift in language 11:28 What happened to Google? 18:42 The events that led to the Google Walkout 25:31 Organizing the historic Google Walkout 28:59 How Google responded to employee activism 35:16 Would Claire organize the Walkout again? 39:19 The danger of tying your identity to your employer 44:29 What should you do when your employer violates your values? 50:35 Did Silicon Valley lose its people-first culture? 51:38 Are today’s AI companies repeating Google’s mistakes? 55:03 Why being people-first is good for business 56:05 What Google’s leadership got wrong 01:00:09 Why women led the resistance inside Google 01:01:48 The role of men and allies in workplace activism 01:05:58 Why women take on more unpaid work 01:08:19 How leaders can build a better workplace culture 01:11:23 Closing thoughts #futurofwork #google #workplaceculture #leadership #bigtech #aiandjobs #siliconvalley #techleadership #techlayoffs #techpodcast Connect with Claire: LinkedIn: https://www.linkedin.com/in/claire-stapleton-868a935 X: https://x.com/clairewaves Facebook: https://www.instagram.com/clairewaves/ Our links: 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

  • August 17 · 1 hr 5 min

    The AI Gold Rush Is Out of Gold | Here's Where VCs Are Still Investing

    Data center economics are coming under increasing scrutiny. Learn why power constraints could signal a major market correction and why the future of artificial intelligence may depend less on software and more on power grids, data centers, semiconductor chips, and the physical infrastructure powering AI. In this episode, TDK Ventures Investment Director Ankur Saxena joins Geoff Nielson to talk about the economics driving today's AI race. From Nvidia GPUs and hyperscaler spending to semiconductor shortages, AI infrastructure, robotics, edge AI, and quantum computing, Ankur explains why the biggest challenges facing AI aren't just technical, they're economic, physical, and increasingly difficult to ignore. This conversation examines whether today's AI investment boom is sustainable, what could trigger the next wave of market corrections, and where the greatest opportunities lie for investors, startups, and technology leaders. If you're wondering where AI is really headed and what it means for business leaders, investors, CIOs, and the future of technology, this episode is for you. In this episode: 00:00 Intro 00:20 AI's biggest problem isn't software, it's infrastructure 01:37 Ankur Saxena on the future of AI & why he's optimistic 03:20 Is the AI investment boom becoming a bubble? 07:40 AI prototyping for enterprise leaders 08:50 The AI Gold Rush: Are investors chasing hype? 10:17 Why AI infrastructure economics matter more than ever 12:09 The hidden bottleneck: Power, data centers & AI growth 15:45 AI data centers explained 19:53 Supply, demand & what happens when AI gets expensive 21:03 Why AI demand isn't slowing down anytime soon 26:33 Should every enterprise care about AI infrastructure? 27:15 Why most companies aren't ready for AI compute 32:08 The next billion-dollar opportunity: AI infrastructure orchestration 34:22 Where smart investors are looking beyond AI applications 37:35 Edge AI explained: Why AI is moving onto devices 40:43 Why AI chips need hardware & software co-design 44:18 The race to build the operating system for Edge AI 48:33 Self-driving cars, robots & the future of physical AI 52:08 Quantum computing: Beyond the hype 55:25 Quantum computing investment opportunities & "picks and shovels" 58:44 Practical AI advice for CIOs, business leaders & enterprises 1:02:02 Will AI replace humans? The future of human-AI collaboration 1:04:42 Final thoughts Connect with Ankur: LinkedIn: https://www.linkedin.com/in/saxenaankur/ Our links: 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

  • August 10 · 1 hr 43 min

    Robin Hanson: AI is probably the End of Humanity (and why that's OK)

    Robin Hanson believes the future of AI is far stranger than most people imagine. In this episode, economist, futurist, and The Age of Em author Robin Hanson explains one of the biggest questions humanity has faced: What happens after humans? Instead of viewing AI as humanity's greatest threat, Hanson argues we should think of AI as our descendants. The conversation looks at why AI replacing humans may be part of civilization's natural evolution, why capitalism and competition aren't disappearing, and how cultural evolution, not technology, may be humanity's biggest existential challenge. We also examine the Great Filter, the future of work, AI regulation, software engineering, technological progress, fertility decline, civilization collapse, AI governance, and why Robin believes our greatest risk isn't AI taking over, but humanity losing its ability to evolve culturally. If you're interested in the future of AI, artificial intelligence, AGI, economics, civilization, technology, and what comes after humanity, this conversation will challenge many of your assumptions. Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, and digital transformation. In this episode: 00:00 Intro 01:00 AI will eventually replace humanity 01:36 Robin Hanson’s background 02:20 The future of civilization 03:22 The Age of Em explained 06:03 Why brain emulation changes everything 07:24 Capitalism isn't going away 11:18 Is humanity actually progressing? 13:10 The Great Filter explained 18:17 Why AI isn't the Great Filter 22:02 AI, technological acceleration & the next 20 years 24:24 Will AI leave people behind? 29:04 How to survive technological disruption 33:08 Why AI is humanity's descendants 40:23 Cultural evolution is breaking 47:12 Why civilization is becoming maladaptive 55:06 Is modern society quietly declining? 01:00:45 Can AI solve civilization's biggest problem? 01:07:01 AI risk vs AI progress 01:12:00 Should AI be regulated? 01:17:03 The US, China & the AI race 01:22:26 AI's economic impact 01:25:19 Advice for business leaders 01:30:45 AI's biggest opportunity for humanity 01:38:48 What gives Robin Hanson hope 01:42:24 Final thoughts Connect with Robin: X: https://x.com/robinhanson Facebook: https://www.facebook.com/robin.hanson.754/ Our links: 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

  • August 3 · 1 hr 12 min

    AI CEOs Are Lying About the Future of Work. Here's What's Really Coming

    Is AI actually making work better? Discover why many employees are feeling more constrained by machines instead of being empowered by them. In this episode, Financial Times journalist and author Sarah O'Connor joins Geoff Nielson to talk about the reality of AI in the workplace, challenging the common belief that automation will free us from repetitive work. Drawing from her new book, “We Are Not Machines,” and months of reporting inside Amazon warehouses, Swedish mines, hospitals, translation agencies, and software teams, Sarah explains how AI isn't just eliminating jobs, it is reshaping them in ways that can either empower people or reduce them to "human robots." The conversation breaks down why the promise of AI creating more time for creative, meaningful work hasn't become reality for many employees. Instead, many workers feel like they're being managed by software, algorithms, and increasingly automated systems. If you're wondering how AI will transform your career, your organization, or the future of work, this episode is for you. In this episode: 00:00 Intro 01:17 The surprising truth about AI and work 02:31 Why AI predictions are missing the real story 06:10 What Sarah discovered on the front lines of automation 07:54 Inside Amazon's robot-powered warehouses 13:25 How AI transformed professional translators 18:07 About Info-Tech Research Group 19:06 Is AI making work less human? 19:56 Why software developers are thriving with AI 23:46 The Swedish mine where automation actually works 31:10 Who should decide how AI changes work? 34:23 AI surveillance, trust, and workplace governance 37:56 Why companies shouldn't blindly adopt AI 39:06 Healthcare, nursing, and the cost of over-optimization 46:30 Can healthcare become human again? 49:56 Productivity, burnout, and becoming like machines 53:18 Have we lost faith in ourselves? 59:26 AI hype, fear of missing out, and smarter adoption 01:03:45 What gives Sarah hope about the future of work? 01:08:07 Advice for business and technology leaders 01:11:00 Final thoughts 01:11:47 Closing Connect with Sarah: LinkedIn: https://www.linkedin.com/in/sarah-o-connor-86067a31/ X: https://x.com/sarahoconnor_ Our links: 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

  • July 27 · 1 hr 17 min

    The Government AI Playbook That's Saving $2M a Week

    Government AI projects are often criticized for moving slowly, but Alberta is proving otherwise. In this episode, we sit down with Janak Alford, Deputy Minister of Technology and Innovation for the Government of Alberta, to understand how Alberta is using AI to save $2 million every week while accelerating digital service delivery, improving compliance, and raising software quality standards. Janak shares why governments and enterprises should stop waiting for the "perfect" AI solution and start building internal AI capabilities. From AI factories and builder culture to open-source tools, sovereign AI, cybersecurity, and AI-powered software development, this conversation offers a practical blueprint for organizations looking to modernize with AI and deliver measurable results. If you're tired of AI hype and want to see what real implementation looks like, don't miss this one. Follow and like this video for weekly conversations on AI, technology, digital transformation, and the future of work and technology. In this episode: 00:00 Intro 01:08 Alberta's mission to transform government with AI 04:28 Why every government faces the same AI challenge 07:53 About Info-Tech 08:33 The vision for AI-driven government 10:33 AI Academy: Training 30,000 public servants 12:12 Building thousands of AI applications 15:25 The future of AI agents in government services 17:03 Beyond AI tools: Building an AI strategy 18:07 AI factories, compliance & software development 23:53 Overcoming bureaucracy with builder culture 30:35 Saving $2 million every week with AI 32:19 The velocity papers explained 37:02 AI factory, AI garage & government modernization 42:25 Open-Source AI tools changing government 48:18 Where organizations should start with AI 54:34 The biggest AI myths leaders believe 55:16 Why Copilot isn't your AI strategy 57:44 Why subject matter experts drive AI success 01:02:19 Making AI safe without slowing innovation 01:08:28 Sovereign AI and Canada's AI future 01:15:08 Building Canada's AI ecosystem 01:16:20 Final thoughts Connect with Janak: LinkedIn: https://www.linkedin.com/in/janak-alford/ X: https://x.com/JanakAlford Our links: 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

  • July 20 · 1 hr 15 min

    Ex-Google AI Lead: Vibe Coding Doesn't Belong at Work

    Is vibe coding the future of software development? Or is it just another AI buzzword? In this episode, Geoff Nielson sits down with Laurence Moroney, former Head of AI Advocacy at Google and now Director of AI at Arm, to separate AI hype from reality and discuss what software development actually looks like in the age of generative AI. This conversation takes a look at the future of coding, the rise of AI-generated code, and why claims that software developers are becoming obsolete miss the bigger picture. From vibe coding and enterprise AI to agentic AI and the evolving role of engineers, this Laurence and Geoff look at how AI is reshaping software development, and why the best developers will become even more valuable by moving up the value chain. Subscribe for weekly conversations on the future of technology, artificial intelligence, and innovation. Comment below: Do you think vibe coding has a place in your professional workflow? In this episode: 00:00 Intro 01:16 Has the AI bubble burst? 04:44 AI hype vs. real business value 09:21 Why AI should become invisible 12:30 The biggest AI myths leaders still believe 16:15 Will AI replace software developers? 19:28 Why developers are moving up the value chain 20:54 The rise of "ephemeral" software 26:34 Enterprise use cases for disposable code 29:02 Is vibe coding ready for the enterprise? 32:10 Small AI models vs. large language models 35:46 Fine-tuning AI for enterprise success 38:17 Why companies still need engineers 41:57 The future role of developers, CIOs & CTOs 45:09 How developers can future-proof their careers 47:09 Should students still study computer science? 49:09 Does AI create 100x developers? 51:20 What is Agentic AI? 57:06 Building enterprise AI the right way 1:02:11 AI hardware and Arm's vision 1:05:18 Advice for technology leaders 1:07:05 The future of Sovereign AI 1:14:30 Final thoughts Connect with Laurence: LinkedIn: https://www.linkedin.com/in/laurence-moroney/ X: https://x.com/lmoroney Facebook: https://www.facebook.com/laurence.moroney Our links: 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

  • July 13 · 27 min

    One of Us Thinks AI is Overhyped. The Other Doesn't | Live Debate

    This is THE AI debate you've been waiting for. Will AI become as transformational as the internet, or will history remember it more like blockchain and the metaverse? In this episode of Digital Disruption, Info-Tech's Geoff Nielson and Jeremy Roberts go head-to-head over one of the biggest technology questions of our time: Is AI overhyped? The debate looks at whether generative AI is delivering measurable business value or whether the excitement surrounding OpenAI, Microsoft Copilot, Google, Nvidia, and today's AI investments has outpaced reality. From enterprise productivity and healthcare innovation to AI adoption, venture capital, cloud computing, autonomous vehicles, and the future of work, both sides present compelling evidence at the Info-Tech LIVE Conference in Las Vegas. You'll hear why the profitability of today's AI industry is being questioned, how massive capital investments are shaping the race among AI leaders, and what these financial realities could mean for the future of artificial intelligence. Whether you're an IT leader, business executive, or AI enthusiast, this debate offers practical insights into where AI is delivering real value, and where expectations may be running ahead of reality. Which side of the debate are you on? Like and follow for weekly episodes. In this episode: 00:00 Is AI Overhyped? 00:52 The case against AI being overhyped 03:31 How AI is already transforming business 04:18 AI's impact on healthcare, science & society 05:20 AI is overhyped 06:40 Why many people still don't like AI 07:18 Is the AI business model sustainable? 08:45 Does AI actually save time? 09:23 AI and the future of jobs 10:17 The human cost of AI 12:04 AI adoption vs. AI skepticism 13:52 Is AI following the same path as cloud computing? 15:05 Are AI companies creating another tech bubble? 16:50 Technology vs. company valuations 18:02 AI search, Google & the future of the internet 19:31 Is AI becoming the next Blockchain? 20:24 Is AI's transformation inevitable? 21:29 Healthcare, Watson & enterprise AI 23:34 Microsoft Copilot, enterprise adoption & ROI 24:18 The future of AI in business 25:12 Audience votes on winner 26:04 Final thoughts on if AI really is overhyped. Our links: 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

  • July 6 · 1 hr 12 min

    Everything You Believe About Work is About to be Broken by AI | Alexander Manu

    Stop fearing the future of work. Learn why our current infrastructure is failing and how to adapt your mindset for the age of artificial intelligence and technology. AI isn't taking your job; it's forcing humanity to rethink what work, identity, and purpose actually mean. In this conversation, Geoff Nielson sits down with innovation strategist, futurist, and author Alexander Manu to discuss why so many professionals fear a loss of income. The core issue, he argues, is not technology itself but our tendency to apply old systems to new realities. Instead of viewing artificial intelligence as a threat, Alexander explains that AI represents the next stage of human evolution, one where technology frees us from repetitive work and allows us to focus on creativity, learning, and what makes us uniquely human. The conversation also explores disruption, digital transformation, Maslow's concept of self-transcendence, the future of work, education, leadership, and what it truly means to live in an AI-first world. Whether you're a CIO, technology leader, business executive, innovator, or simply curious about where artificial intelligence is taking society, this episode offers one of the most optimistic, and challenging, perspectives you'll hear on the future of AI. Like and follow for weekly episodes. In this episode: 00:00 Intro 00:46 Why everyone is afraid of AI 01:01 Why Alexander isn't afraid of artificial intelligence 03:02 AI, work & the future of human purpose 05:24 Will AI make society happier? 06:32 Why AI is different from every technology before it 08:07 AI as a creative partner instead of a tool 10:17 The real fear behind AI: Money & identity 12:48 How do we reach an AI future? 14:03 Why we need to redesign everything from scratch 16:12 AI, identity & Maslow's self-transcendence 19:07 Using AI to unlock human creativity 20:33 Lessons from building one of the first portable computers 22:34 Technology, identity & human evolution 24:24 How every technology becomes normal 27:07 AI learns you as you learn it 28:57 Why technology exists to eliminate friction 30:19 Why society needs to embrace AI earlier 31:44 Understanding the disruption continuum 34:10 Why disruption never ends 39:45 Are we living through an AI bridge moment? 42:06 Why most companies get AI completely wrong 46:31 Stop fitting AI into old systems 51:30 The biggest AI lessons for business leaders 53:12 The question every organization should ask 56:09 Leadership, AI & the future of organizations 59:18 Why AI is not optional 1:00:52 AI's true promise isn't speed 1:05:36 AI, contemplation & finding meaning 1:06:36 Social media, creativity & human attention 1:11:48 Final thoughts Connect with Alexander: LinkedIn: https://www.linkedin.com/in/alexander-manu-458b7b3/ Our links: 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

  • June 29 · 1 hr

    Will AI Take Your Job? Dag Kittlaus Separates Hype from Reality

    AI is moving faster than most organizations can keep up with, but according to Siri co-creator Dag Kittlaus , the biggest challenge isn't the technology itself. It's adoption. In this episode, Dag shares his insights on how artificial intelligence will reshape your career, your business, and the future of work. Drawing on his experience building Siri and investing in the next generation of AI startups, Dag explains why widespread AI-driven job loss is unlikely in the near term and how business leaders can successfully integrate AI into their organizations. He explores the important differences between AI capability and AI diffusion, arguing that this distinction will shape the next decade of innovation, productivity, and economic growth. The conversation covers AI productivity gains, enterprise AI adoption, AI-first startups, Apple's AI future, personalized virtual assistants, healthcare innovation, data centers, AI infrastructure, and the emerging opportunities that business and technology leaders can't afford to ignore. Whether you're a CIO, business leader, entrepreneur, or technology professional, this episode offers practical insights into how artificial intelligence is transforming industries and why understanding AI today may be one of the most important investments you can make in your future. Like and follow for weekly episodes. In this episode: 00:00 Intro 00:53 Co-creator of Siri 01:15 AI's promise vs. AI's peril 02:28 Capability vs. diffusion: The real AI challenge 03:15 Why AI still can't replace entire jobs 04:31 Will AI cause massive white-collar job loss? 07:14 Why laying off employees for AI is a mistake 08:14 How businesses should actually adopt AI 10:30 How Dag personally uses AI today 12:41 AI investment trends and opportunities 13:27 What's next for AI infrastructure and data centers? 15:27 Hidden AI opportunities most investors miss 16:41 Winners and losers in the AI economy 17:56 How leaders should prepare their organizations 21:32 AI-first startups vs. large enterprises 23:11 Should established companies fear AI-native competitors? 24:00 Ignore AI and you're in trouble 25:21 The 10-year AI adoption timeline 26:22 Is AI ready or does it need more breakthroughs? 28:00 The original vision for Siri 29:30 AI agents, APIs, and autonomous assistants 31:32 Why apple lost ground in AI 34:53 Dag's vision for the future of Siri 35:29 The 'Conductor Thesis' for personal AI 38:30 Why personalization Is AI's missing link 39:07 Consumer backlash against AI 40:20 Why AI job loss fears are overblown 41:15 AI, productivity growth, and the four-day workweek 43:51 How to change public perception of AI 47:05 Convincing employees to embrace AI 47:50 Why incentives matter more than mandates 50:05 Practical advice for business leaders 53:03 The biggest AI trend nobody understands 53:38 How AI will transform healthcare 56:11 AI regulation and innovation challenges 58:23 Why Dag is optimistic about AI's future 59:15 Final thoughts #ai #futureofwork #leadership #siri #apple #futureofai #technologypodcast #digitaltransformation #innovation #entrepreneurship #futureofjobs #stevejobs #dagkittlaus Connect with Dag: LinkedIn: https://www.linkedin.com/in/dagkittlaus/ X: https://x.com/dagk Our links: 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

  • June 22 · 1 hr 13 min

    AI is Breaking the Economy and Education. Here's How to Fix it

    What if AI isn't the biggest disruption we're facing? What if the real problem is that we're trying to force 24th-century technology into an economy designed for another era? In this episode, AI and transformation leader, Michael Clark explains why AI is exposing fundamental flaws in education, business, leadership, and the global economy, and what we need to do next. Michael argues that we're trying to fit next-generation AI into systems designed for the industrial age. The conversation explores how organizations can move beyond automation and embrace collaborative intelligence, where humans and AI work together to create value. They discuss the future of work, data as an asset, workforce transformation, AI adoption, leadership in the intelligence economy, and why critical thinking, judgment, and adaptability will become the most valuable skills in the AI era. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:23 Two possible futures for 2030 04:05 Why education must be rebuilt for the AI era 07:12 Teaching critical thinking, data literacy & adaptability 10:40 How work changes in the age of AI 13:22 Why people should be treated as assets, not costs 16:16 The economic model that no longer works 20:24 Rethinking value, GDP, and the future economy 24:23 Can we actually value people and data? 27:29 Why governments need an AI consortium 28:54 AI, data ownership & wealth distribution 33:05 Should AI and cloud computing be treated as utilities? 35:45 Why most organizations mismanage data 37:05 Treating data as a business asset 42:53 Why AI can't fix bad data 47:27 What data-mature organizations do differently 48:05 Schneider electric's data monetization strategy 50:24 John Deere's AI and data advantage 51:21 The ethics of data monetization 55:28 Workforce transformation and leadership in the AI era 58:29 Why leaders struggle with long-term thinking 01:00:00 Leadership, risk, and better decision making 01:03:48 Rethinking leadership for the Intelligence Economy 01:06:19 Human wisdom vs machine knowledge 01:09:23 Final advice for leaders adopting AI 01:12:14 Final thoughts Connect with Michael: LinkedIn: https://www.linkedin.com/in/mclarkglobal/ Our links: 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

  • June 15 · 1 hr 8 min

    The Most Insidious AI Narrative: We Can't Shape the Future

    Artificial intelligence is reshaping work, creativity, business, and society faster than ever before, but how worried should we really be? In this episode, we sit down with The AI Doc producers Charlie Tyrell and Ted Tremper to discuss the biggest lessons they learned after spending years investigating AI and interviewing leading experts, including Sam Altman, Dario Amodei, Karen Hao, and many of the influential voices shaping the future of artificial intelligence. The conversation goes far beyond the typical AI debate, exploring AI ethics, generative AI, creative industries, wealth inequality, AI regulation, AGI, automation, AI governance, and the growing question of whether artificial intelligence is an inevitable force—or a technology that society can still shape. Charlie and Ted discuss the risks of concentrated power, the impact of AI on artists and filmmakers, ethical AI development, transparency, consent, and what individuals can do to influence the future of technology. AI is changing everything. The way we work, the way we create, the way we build businesses, and potentially the future of society itself. But beneath the headlines, hype, and fear, what’s actually true? If you're interested in artificial intelligence, technology, leadership, innovation, creativity, or the future of humanity, this is a conversation you won't want to miss. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:25 Why Charlie Tyrell & Ted Tremper made the film 02:20 The origins of The AI Doc 04:45 AI anxiety, parenthood & the future 06:57 Wealth inequality and AI concentration 08:17 Reasons for hope and concern 11:01 How individuals can shape AI's future 11:49 Why education creates agency 13:02 AI's impact on artists and creators 15:12 Did The AI Doc use AI? 16:56 Human creativity vs AI-generated content 18:14 The filmmaking industry's AI debate 19:20 Generative AI and storytelling 21:23 Audience demand and the future of human-made art 23:13 Technology's impact on creativity throughout history 24:50 Ethical AI, consent & compensation 27:02 Can AI ever be ethical? 28:12 Policy, regulation & AI accountability 30:59 The AI arms race explained 32:14 AI competition, China & global innovation 34:07 AI narratives we should question 35:00 The Myth of AI Inevitability 37:08 Democratizing AI and power structures 38:11 What AI advocates get wrong 40:40 Radical imagination & AI governance 42:45 What gives Charlie and Ted Hope? 46:22 Raising children in an AI world 51:56 Technology, optimism & intellectual humility 55:00 The most influential voices in AI 57:39 Karen Hao, Deborah Raji & human-centered AI 1:00:08 Responsible AI use for business leaders 1:02:13 Fighting over-optimization and AI dependence 1:04:19 The hidden risks of AI services 1:07:12 Final Thoughts Connect with The AI Doc: X: https://x.com/theaidocfilm Instagram: https://www.instagram.com/theaidocfilm/ Our links: 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

  • June 8 · 1 hr 29 min

    Joscha Bach: AGI, Consciousness, and the Evolution of Intelligence

    Artificial Intelligence is changing faster than most people realize, but are we asking the wrong questions about AI, AGI, consciousness, and the future of society? In this episode, cognitive scientist and AI researcher Joscha Bach joins us for a thought-provoking conversation on artificial intelligence, machine consciousness, large language models (LLMs), AGI, human intelligence, and the future of work. Joscha explains why intelligence is fundamentally about model-building, why consciousness may be a biological training algorithm, and what current AI systems are still missing. The conversation goes far beyond technology, tapping into innovation, capitalism, regulation, scientific progress, institutional trust, democracy, media narratives, AI safety, employment disruption, economic incentives, and the future of human civilization. Joscha shares his perspective on AI doom scenarios, why he believes many fears around artificial intelligence are overstated, and how AI could ultimately empower individuals rather than replace them. This episode offers a different look into artificial intelligence, human progress, and what comes next. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:04 AI doom scenarios & humanity's future 02:00 Defining intelligence & consciousness 05:00 Why AI intelligence is different from human intelligence 06:52 Are LLMs actually intelligent? 08:10 Why AI hallucinates 10:09 Human learning vs machine learning 11:22 Can transformers lead to agi? 12:28 The scaling hypothesis explained 13:58 Mechanistic interpretability & neural networks 15:13 Can AI surpass human understanding? 18:42 AI and the future of scientific discovery 20:14 Why scientific progress feels slower today 22:03 Institutions, incentives & organizational decline 25:05 Trust in government and society 28:31 Can AI improve democracy? 30:40 Why AI gets such negative media coverage 33:03 The AI extinction debate 36:30 AI, automation & the future of jobs 40:05 Big Tech, AI power & capitalism 41:15 Money, markets & resource allocation 46:28 Regulation, innovation & economic growth 49:13 Why innovation is slowing down 51:08 Is Big Tech starving other industries? 54:39 Is there an AI bubble? 57:30 Could the financial system be rebooted? 01:00:17 Cryptocurrency, regulation & economic stability 01:08:27 Regulation, governance & innovation 01:10:33 Lessons from Berlin's innovation culture 01:16:08 AI, surveillance & centralized power 01:18:07 Decentralized AI and individual empowerment 01:20:05 AI, healthcare & professional expertise 01:23:36 Control, society & human responsibility 01:25:00 Advice for leaders and innovators 01:26:03 Escaping filter bubbles Connect with Joscha Bach: LinkedIn: https://www.linkedin.com/in/joschabach X: https://x.com/Plinz Our links: 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

  • June 1 · 1 hr 5 min

    AI vs The Invasion of Work: Could We Take Back Our Lives?

    Modern work is broken. Endless meetings. Constant notifications. Work invading every corner of life. So, what does the future of work actually look like in the age of AI agents, generative AI, and organizational transformation? Microsoft’s Head of Future of Work & AI, Matthew Loys Duncan, says we’ve reached “human capacity” and that AI may not replace knowledge workers, but instead replace the worst parts of work itself. In this episode, Matthew joins Geoff Nielson to unpack how AI agents, generative AI, and organizational redesign are reshaping white-collar work. He explains why most companies are approaching AI the wrong way, why culture matters more than technology, and how the future of work will be “human-led, agent-operated.” From Microsoft’s Work Trend Index research and AI-native organizations to tacit knowledge, burnout, productivity, and leadership transformation, this conversation explores what happens when businesses stop optimizing old workflows and start redesigning work from the ground up. If you’re trying to understand the real impact AI will have on work, leadership, and business strategy over the next decade, this episode is for you. Like and subscribe for weekly conversations on AI, business, leadership, and the future of work. In this episode: 00:00 Intro 00:01:15 Will AI replace white-collar jobs? 00:02:29 Why AI is a reimagination of work, not doom & gloom 00:03:08 Human-led, agent-operated work 00:03:37 The broken reality of modern office work 00:04:36 Digital overload, meetings & workplace chaos 00:06:16 Human agency vs AI agents 00:07:33 Using AI to redesign your job 00:09:02 Why the best AI users don’t outsource judgment 00:09:49 Delegation, intentional AI use & skill preservation 00:10:54 AI as a team member, not just a tool 00:11:27 The four ways people use generative AI 00:14:10 The rise of AI agents in the workplace 00:16:16 From personal productivity to organizational transformation 00:17:10 Where is the ROI from AI? 00:18:02 Why AI adoption alone fails 00:20:13 Finding the highest-leverage AI opportunities 00:23:27 Re-architecting work in the AI era 00:25:27 Should employees build their own AI agents? 00:28:39 AI-native organizations vs legacy enterprises 00:30:05 AI adoption vs AI absorption 00:32:31 Discovering hidden business value through AI 00:33:27 How legacy firms can compete with AI-native companies 00:35:06 Why AI transformation starts with culture 00:36:05 The role of HR, CEOs & leadership in AI strategy 00:39:14 Why AI is bigger than a technology initiative 00:41:12 The expanding role of the C-Suite in AI transformation 00:46:32 Microsoft’s “learn it all” leadership culture 00:50:00 Democratizing innovation with AI 00:53:23 Tacit knowledge & AI-powered learning 00:57:09 Information retrieval, organizational knowledge & AI 00:59:37 Capturing institutional intelligence with AI 01:00:03 Advice for business & technology leaders 01:03:17 Why there is no AI playbook yet Connect with Matthew: LinkedIn: https://www.linkedin.com/in/matthewloysduncan/ X: https://x.com/matthewloys Our links: 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

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