Digital Disruption with Geoff Nielson

Info-Tech Research Group
  • 4.4 (68)
  • TECHNOLOGY

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. AI Convergence: Amy Webb On Why This is the Year of Creative Destruction

    1D AGO

    AI Convergence: Amy Webb On Why This is the Year of Creative Destruction

    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 era 05:04 Systems-level change vs trend stacking 06:19 From AI winters to generative AI breakthroughs 07:27 Power shifts: OpenAI, Microsoft, Google & Competitive Dynamics 08:31 Winners vs losers in the convergence economy 09:26 Fear, FOMO & leadership paralysis 12:17 Rethinking regulation & geopolitical power shifts 15:40 Why “Future-Proofing” is a myth 17:14 AI capital flood: Is there a bubble? 19:25 Enterprise AI & the 80% workforce threshold 23:27 The attention economy & AI hype 27:28 Where AI actually creates real impact 28:11 Programmable biology & DeepMind’s Evo 2 30:00 Climate solutions, agriculture & synthetic biology 31:59 Dolly the Sheep & why transparency matters 38:19 mRNA, public trust & technology communication 40:15 The polycompute future: AI + quantum + biological computing 41:01 Quantum computing’s business implications 42:20 Brain organoids & biological computers 46:48 Creative destruction: What must die for you to survive? 49:00 Why evolution isn’t enough anymore 51:47 Why leaders avoid dangerous conversations 52:39 Strategic foresight & data-backed vision 56:36 Why AI navel-gazing is procrastination 57:23 Leadership in an age of convergence Connect with Amy: LinkedIn: https://www.linkedin.com/in/amywebb/ X: https://x.com/amywebb Instagram: https://www.instagram.com/amywebbfuturist/ 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

    58 min
  2. Will AI Replace Software Engineers? Here’s What an Engineering Leader Says

    MAR 9

    Will AI Replace Software Engineers? Here’s What an Engineering Leader Says

    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 Intro 00:57 Why this is the most pivotal moment in tech 02:21 Bridging the AI dreamers and skeptics 03:18 Productivity vs. value creation 04:44 Vibe Coding: Hype vs. reality 05:27 Democratizing software development 06:09 Prototyping vs. production code 08:17 Will AI reduce the need for engineers? 12:25 What engineers should focus on now 13:59 Curiosity as a core engineering trait 15:34 Why engineers must be close to customers 17:28 Feature slop & intentionality 20:39 Lyft’s real-time AI design workflow (cursor example) 23:32 When AI is (and isn’t) truly real-time 25:18 Custom AI vs. out-of-the-box tools 26:55 Data ethics, privacy & governance in ai 29:04 A framework for sensitive data 31:18 Why leaders must act before regulation 32:38 AI Hype: Utopia vs. doomsday narratives 36:23 Culture as a competitive advantage 38:55 What makes a great engineering leader 40:42 Common mistakes new tech managers make 45:19 From “sell” to “tell” 47:55 Leading hybrid & remote engineering teams 49:46 The 10x (or 100x?) engineer debate 53:29 Advice for young engineers 55:23 The future of work 56:55 Bridging the digital divide 58:51 “Give Before You Take” philosophy Connect with Bala: LinkedIn: https://www.linkedin.com/in/balaarjunan/ X: https://x.com/balaarjunan 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

    1h 2m
  3. Ex-Ancestry CEO: How AI is Forcing Companies to Rethink Everything

    MAR 2

    Ex-Ancestry CEO: How AI is Forcing Companies to Rethink Everything

    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 Intro 01:00 What Being a CEO Means in 2026 06:30 Rebuilding a legacy company for the AI era 07:20 Facebook’s mobile-first pivot (stock price crisis) 10:45 The power of top-down buy-in 12:00 Big bets vs incremental change 15:00 The “Future Us” decision-making framework 19:35 How to build great products 21:00 Fall in love with the problem, not the solution 22:45 AI: Blessing or curse for product teams? 24:30 AI governance, security & data risks 26:45 Are developers becoming obsolete? 28:30 Why senior engineers are more valuable in AI 30:00 Should CEOs own AI strategy? 34:30 Magic wand dinners & listening as a leader 36:00 Remote work vs in-person culture 40:00 Breaking the CEO archetype 44:00 Failure as a career advantage 47:00 Communication is 80% of leadership 51:00 Why experts often fail as managers 53:30 Building a culture of innovation 58:00 Scaling infrastructure to unlock product velocity 1:10:00 Parenthood & career stalls (the honest truth) 1:15:00 Networking for introverts 1:20:00 Adaptability: The most important skill of the next decade 1:21:30 Closing thoughts Connect 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=podcast Follow us on YouTube: https://www.youtube.com/@InfoTechRG

    1h 22m
  4. LLMs in 2026: What’s Real, What’s Hype, and What’s Coming Next

    FEB 23

    LLMs in 2026: What’s Real, What’s Hype, and What’s Coming Next

    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 Intro 01:23 The Rise of “Reasoning” and Thinking Models 03:06 Inference scaling vs training scaling 06:17 What LLMs are actually good (and bad) at 07:09 The “Strawberry” Problem and Reasoning Limits 09:00 Tool use and why LLMs don’t need to count letters 10:20 Math Olympiads & self-refinement techniques 12:01 Why coding is the killer use case 13:28 Does AI make developers obsolete? 18:02 The Reality of 10x developer productivity claims 21:43 Generalist vs specialized models 23:53 Build from scratch vs fine-tune vs API prompting 25:01The true cost of training an LLM 27:33 API customization vs owning your model 29:12 Who should build an LLM from scratch? 33:16 Data requirements & why you need terabytes 34:28 Enterprise data challenges 35:40 Retrieval-Augmented Generation (RAG) explained 46:05 Multi-agent systems & tool calling 49:48 The problem with LLM benchmarks 55:43 Using LLMs as judges 58:00 Biggest misconceptions about LLMs 1:04:19 Reinforcement learning with verifiable rewards 1:06:32 Advice for technology leaders 1:11:48 Escaping AI hype through fundamentals Connect with Sebastian: LinkedIn: https://www.linkedin.com/in/sebastianraschka/ X: https://x.com/rasbt Connect 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

    1h 15m
  5. Is AI a Threat to Democracy? Bruce Schneier Explains What Comes Next

    FEB 9

    Is AI a Threat to Democracy? Bruce Schneier Explains What Comes Next

    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 Intro 02:10 AI as a power-magnifying technology 05:00 The four ways AI can help or harm democracy 07:20 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 tool 15:00 Human-in-the-loop: Why oversight still matters 18:20 Designing AI that can say “yes” but not “no” 21:00 AI, Work, hiring, and the automation arms race 24:00 Fraud, trust, and remote work in the AI Era 27:00 Does AI democratize power or reinforce it? 30:00 Trustworthy AI vs. “good enough” AI 33:00 When AI is forced on citizens without choice 36:00 Regulation, markets, and the myth of the AI arms race 39:00 What leaders should ask before deploying AI 42:00 Jobs, backlash, and AI-driven inequality 44:00 Lessons from blockchain and past tech hype cycles 48:00 AI, cybersecurity, and the attacker vs. defender balance 52:00 The future of AI skills and careers 55:00 Steering AI toward democracy Connect with Bruce: Facebook: https://www.facebook.com/bruce.schneier 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

    1 hr
  6. Robots, AI Ethics, and the End of Thinking: Top Researcher on The State of AI in 2026

    FEB 2

    Robots, AI Ethics, and the End of Thinking: Top Researcher on The State of AI in 2026

    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 Intro 01:14 AI’s trajectory toward 2026 02:09 AI moves from boardrooms to living rooms 03:16 Humanoid robots: From screens to physical bodies 05:35 Household robots, prestige, and consumer adoption 07:33 Military, drones, and high-stakes AI applications 08:46 Self-driving cars as robotics, not just vehicles 13:49 Automation anxiety and ethical reality 18:30 Shifting authority from humans to algorithms 19:58 Power concentration and data privacy risks 22:49 AI, mental health, and emotional dependency 28:11 Why regulation alone will always lag 33:25 Business leaders’ biggest AI misconceptions 36:49 Data, talent, and capability gaps 42:18 Estonia, strategy, and digital leadership 44:42 Advising governments: What leaders must do 49:49 AI, sector disruption, and the future of work 53:22 Why top performers benefit most from AI 56:14 Judgment, curation, and human excellence Connect with Walter: LinkedIn: https://www.linkedin.com/in/walter-m-pasquarelli/?originalSubdomain=uk X: https://x.com/waltpasquarelli 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

    57 min
  7. AI, Power, and the New Global Order with Nina Schick

    JAN 26

    AI, Power, and the New Global Order with Nina Schick

    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 Intro 01:33 The AI scaling laws accelerating toward AGI 03:09 Excitement vs fear: how disruptive will AI really be? 05:16 Deepfakes, information warfare, and early AI misuse 06:58 AI’s true killer app: scientific discovery 08:49 Intelligence as a utility and the speed of global disruption 10:38 Why AI is becoming the biggest political issue of our time 12:12 Concentration of power and the rise of AI monopolies 14:33 Technology, history, and why power always follows innovation 16:18AI infrastructure, hyperscalers, and trillion-dollar CapEx 19:05 AI as hard power and American technological dominance 21:15 NATO, national security, and autonomous warfare 23:55 The end of American hegemony and the rise of hard power politics 27:36 Democracy vs authoritarianism in the AI race 29:48 Why trivial consumer AI is a strategic failure 35:52 What AI deployment really means for businesses 39:13 The myth of AI tools vs intelligence as a capability 41:41 Will AI actually cause mass layoffs? 46:32 Asset ownership in a world of cheap intelligence 50:24 How AI empowers individuals and emerging economies 52:51 The most important skills for the AI age 55:38 Why being human matters more than ever 56:41 Resilience, risk, and the future Connect with Nina: LinkedIn: https://www.linkedin.com/in/ninaschick/ X: https://x.com/NinaDSchick 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

    57 min
  8. What the Metaverse Is Becoming and Why It Finally Matters

    JAN 19

    What the Metaverse Is Becoming and Why It Finally Matters

    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 Intro 03:00 Is the metaverse dead or just misbranded? 06:00 Spatial computing vs virtual worlds 09:00 Why AR glasses matter more than headsets 12:00 Smart glasses: why this wave is different 15:00 Neural wristbands and gesture-based control 18:00 How quickly humans become dependent on tech 21:00 The split between human-made and AI-generated culture 24:00 Augmenting creativity instead of replacing it 27:00 Designing entirely inside VR 30:00 Gravity Sketch: true 3D creation explained 34:00 Why spatial collaboration beats screens 38:00 Real-world use cases: architecture & manufacturing 42:00 Why mouse and keyboard are reaching their limits 47:00 AI + XR: generating worlds in real time 52:00 What needs to happen before immersive tech scales 56:00 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/Csavenables 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

    1h 3m
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About

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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