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.

  1. AI is Losing Ground: Futurist Brian Solis on Why AI Adoption is Failing

    5D AGO

    AI is Losing Ground: Futurist Brian Solis on Why AI Adoption is Failing

    Are businesses falling behind in the AI revolution? While AI is transforming everything from workflows to decision-making, many companies are facing a surprising reality: they’re becoming less prepared for AI, not more. In this episode, we sit down with Brian Solis, a globally recognized futurist and thought leader, to explore how disruptive technology is reshaping business, society, and the future of work. As Head of Global Innovation at ServiceNow, Brian shares expert insights on business innovation, AI adoption, and what it truly takes to succeed in this rapidly evolving landscape. We also talk about the growing gap between AI-native companies and traditional enterprises, the rise of the agentic enterprise, and why true AI-driven reinvention requires far more than simple automation. Like and follow for weekly episodes. In this episode: 00:00 Intro 00:55 Are businesses falling behind in AI? 01:30 What “AI disruption” really means for business 03:30 The hidden dangers of AI: Bias, sycophancy & atrophy 05:20 Why most companies are underusing AI (capability overhang) 07:00 The AI index explained: Why readiness is declining 08:30 AI maturity scores are dropping and here’s why 10:50 Will AI-native startups disrupt enterprise giants? 13:00 How AI is reshaping jobs, roles, and workflows 15:30 The biggest myth: “AI transformation is easy” 16:30 What is the agentic enterprise? (future of AI work) 18:30 Automation vs innovation: Where AI creates real value 20:30 Why AI needs vision, not just it execution 22:30 IKEA’s $1B AI Pivot: A real business case study 25:00 AI business reinvention vs digital transformation 27:00 AI agents explained: How they actually work in business 30:00 Who manages AI? The Rise of HR and IT collaboration 33:30 The Chief Workflow Officer: A new c-suite role? 37:30 Innovation culture vs reality: Why most companies fail 45:00 Can you succeed in AI without an innovation culture? 53:00 Biggest AI myth debunked and final takeaways Connect with Brian: LinkedIn: https://www.linkedin.com/in/briansolis/ X: https://x.com/briansolis Instagram: https://www.instagram.com/briansolis/ 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

    56 min
  2. The End of Wisdom: Chip Conley on AI and the Decline of Leadership

    MAR 23

    The End of Wisdom: Chip Conley on AI and the Decline of Leadership

    What happens to leadership, meaning, and human value in the age of AI? On this episode of Digital Disruption, we’re joined by Chip Conley, the former Head of Strategy at Airbnb, New York Times bestselling author, and founder of the Modern Elder Academy. Chip joins Geoff to explore whether humans are becoming obsolete or more important than ever. Chip makes the case that while AI is commoditizing knowledge, it’s elevating the value of human wisdom, intuition, and soulful leadership. They unpack the difference between knowledge and wisdom, why AI struggles to ask the right questions, how leaders can balance efficiency with humanity, and what the future of work looks like in an AI-driven world. From philosophy and ethics making a comeback to practical frameworks and wisdom as metabolized experiences shared for the common good, this episode is for anyone navigating AI transformation, searching for meaning, or rethinking what it means to lead and work today. If AI is the age of intelligence, this conversation argues that wisdom is the real competitive advantage. Chip is an American hotelier, hospitality entrepreneur, author, and speaker who founded Joie de Vivre Hospitality, growing it into the second-largest boutique hotel brand in the U.S., and later served as Airbnb’s Head of Global Hospitality & Strategy. A New York Times bestselling author of books like Peak, Emotional Equations, and Wisdom@Work, he founded the Modern Elder Academy, the first “midlife wisdom school,” to reframe aging and midlife. He is a prominent speaker, board member, and advocate for social impact initiatives. In this episode: 00:00 Intro 00:27 Are humans becoming obsolete in the age of AI? 01:08 What is Chip Conley’s core philosophy today? 01:27 Knowledge vs. wisdom: Why it matters more than ever 02:30 AI, intelligence, and the limits of answers 03:16 Why AI can’t ask the right questions (yet) 04:06 Human intuition, storytelling, and experience 06:19 Is AI a useful tool for leaders? 07:06 How to use AI effectively as a leader 07:43 Efficiency vs. soulfulness in work 09:18 The human + AI partnership 11:27 What is “soulfulness” in leadership? 14:10 Leadership, agency, and accountability 15:30 Leaders as resource allocators 17:17 Great leaders create future leaders 18:29 Defining soulfulness: Empathy, intuition & connection 20:19 Why soulful leaders feel different 21:36 Is society losing its soul? 22:25 Why scarcity makes wisdom more valuable 24:27 Leadership, culture, and emotional contagion 27:04 “Win at All Costs” vs. soulful leadership 28:16 Is being human a weakness in business? 29:53 The return of philosophy, ethics & humanities 31:09 Why wisdom is making a comeback 34:23 The future of work and what changes 37:31 AI as a partner, not a replacement 38:20 New careers: Coaches, curators & meaning makers 39:04 What is Wisdom? 42:18 Viktor Frankl & the equation for meaning 44:24 Purpose vs. meaning explained 46:47 Growth mindset vs. Know-it-all culture 49:32 Turning pain into wisdom 50:29 The Midlife “U-Curve” of happiness 53:21 The “Diet of Despair” in modern media 59:19 Advice for young people in the AI era 01:02:10 Why usefulness matters more than youth Connect with Chip: LinkedIn: https://www.linkedin.com/in/chipconleysf/ X: https://x.com/ChipConley Instagram: https://www.instagram.com/chipconley/ 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 4m
  3. AI Convergence: Amy Webb On Why This is the Year of Creative Destruction

    MAR 16

    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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
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4.4
out of 5
72 Ratings

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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