Digital Disruption with Geoff Nielson

Info-Tech Research Group
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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.

  1. 6d ago

    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

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

  2. Aug 31

    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

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

  3. Aug 24

    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

    How Google Lost Its Way | Former Google Insider Claire Stapleton

  4. Aug 17

    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

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

  5. Aug 10

    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

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

  6. Aug 3

    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

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

  7. Jul 27

    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

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

  8. Jul 20

    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

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