Digital Disruption with Geoff Nielson

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

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

Amy Webb, tech futurist and CEO known for data-driven strategic foresight. She maps 2026 as a convergence of AI, biotech, quantum and geopolitics. Short takes explore how systems-level change redistributes power. Conversations cover programmable biology, polycompute futures, why future-proofing is a myth, and what leaders must let go of to survive creative destruction.

Is AI really replacing software engineers, or just changing how they work?On this episode of Digital Disruption, we’re joined by Bala Muthiah, Director of Engineering at Lyft. Bala sits down with Geoff to cut through the hype around AI in software development and explain what’s actually changing inside high-performing engineering teams and what that means for the future of work. From vibe coding and AI-powered prototyping to production-ready systems, productivity gains, and the reality behind 10x (or 100x) engineer claims, Bala shares a grounded perspective on why true improvements are closer to 10–20%, not exponential overnight disruption. They discuss engineering leadership in the AI era, bridging skeptics and evangelists, why value creation matters more than lines of code, the importance of customization over out-of-the-box AI, data privacy and governance responsibilities, the growing digital divide, and the critical role of curiosity, culture, and trust in building modern tech teams. Bala is a technology leader who builds high-performing teams and AI that enhances human connection. Beyond his technical leadership, he serves as a startup advisor and served as an advisory board member at Defy Ventures (nonprofit focused on prison reform), reflecting his belief that community impact and innovation should grow together. He emphasizes that AI with humans in the forefront shapes everything he does. AI. He promotes positive aspects of AI while recognizing that leaders must guide its development responsibly.In this episode:00:00 Intro00:57 Why this is the most pivotal moment in tech02:21 Bridging the AI dreamers and skeptics03:18 Productivity vs. value creation04:44 Vibe Coding: Hype vs. reality05:27 Democratizing software development06:09 Prototyping vs. production code08:17 Will AI reduce the need for engineers?12:25 What engineers should focus on now13:59 Curiosity as a core engineering trait15:34 Why engineers must be close to customers17:28 Feature slop & intentionality20:39 Lyft’s real-time AI design workflow (cursor example)23:32 When AI is (and isn’t) truly real-time25:18 Custom AI vs. out-of-the-box tools26:55 Data ethics, privacy & governance in ai29:04 A framework for sensitive data31:18 Why leaders must act before regulation32:38 AI Hype: Utopia vs. doomsday narratives36:23 Culture as a competitive advantage38:55 What makes a great engineering leader40:42 Common mistakes new tech managers make45:19 From “sell” to “tell”47:55 Leading hybrid & remote engineering teams49:46 The 10x (or 100x?) engineer debate53:29 Advice for young engineers55:23 The future of work56:55 Bridging the digital divide58:51 “Give Before You Take” philosophyConnect with Bala:LinkedIn: https://www.linkedin.com/in/balaarjunan/X: https://x.com/balaarjunanOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What does it actually take to lead in the age of AI?On this episode of Digital Disruption, we’re joined by Deborah Liu, former CEO of Ancestry and former VP of Facebook Marketplace at Meta.Deborah joins Geoff to share a candid, practical look at modern leadership in 2026. Drawing on her experience scaling billion-user platforms and transforming legacy organizations, she explains why “adding AI” isn’t a strategy and what it truly means to build an AI-native company.They unpack Facebook’s mobile-first pivot and what it teaches about leading through disruption, why adaptability may be the most important executive skill of the next decade, and how CEOs should think about AI governance, security, and enterprise guardrails. Deborah also discusses building with a founder mindset inside large organizations and creating a culture where innovation comes from the bottom up.This conversation also explores the human side of leadership and why communication makes up 80% of the job.Deborah was most recently President and CEO of Ancestry, where she brought the legacy company into its next phase of growth. In her prior role at Meta, she turned persistence into a platform. The idea for Facebook Marketplace came to her during her first interview, though it took six years of strategic thinking and tenacious advocacy to build what would become a global marketplace serving over a billion people. She also architected Facebook’s first mobile ad products and payments infrastructure, proving that the most powerful solutions emerge when you connect the right people, ideas, and opportunities. Her 20+ years in tech began with integration work at PayPal and eBay — complex projects that taught her how to see the connections others miss.In this video:00:00 Intro01:00 What Being a CEO Means in 202606:30 Rebuilding a legacy company for the AI era07:20 Facebook’s mobile-first pivot (stock price crisis)10:45 The power of top-down buy-in12:00 Big bets vs incremental change15:00 The “Future Us” decision-making framework19:35 How to build great products21:00 Fall in love with the problem, not the solution22:45 AI: Blessing or curse for product teams?24:30 AI governance, security & data risks26:45 Are developers becoming obsolete?28:30 Why senior engineers are more valuable in AI30:00 Should CEOs own AI strategy?34:30 Magic wand dinners & listening as a leader36:00 Remote work vs in-person culture40:00 Breaking the CEO archetype44:00 Failure as a career advantage47:00 Communication is 80% of leadership51:00 Why experts often fail as managers53:30 Building a culture of innovation58:00 Scaling infrastructure to unlock product velocity 1:10:00 Parenthood & career stalls (the honest truth)1:15:00 Networking for introverts1:20:00 Adaptability: The most important skill of the next decade1:21:30 Closing thoughtsConnect with Deborah:LinkedIn: https://www.linkedin.com/in/deborahliu/X: https://x.com/debliu_Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is AI actually going to replace developers? Or is the hype getting ahead of reality?On this episode of Digital Disruption, we’re joined by Sebastian Raschka, AI Research Engineer and author.Sebastian Raschka sits down with Geoff Nielson to unpack the real state of Large Language Models (LLMs) in 2026. As an LLM research engineer, Sebastian bridges deep technical expertise with practical, real-world AI implementation. In this conversation, he cuts through AI hype to focus on what’s actually achievable with modern LLMs, reasoning models, reinforcement learning, and inference scaling and where the limitations still exist. Sebastian explains why most companies should not build a large language model from scratch, but also why understanding the fundamentals may be one of the most important investments technology leaders can make. This conversation breaks down: ◼️Why coding is currently the strongest LLM use case ◼️Why “reasoning” models still fail simple tasks like counting letters in “strawberry” ◼️The reality behind Math Olympiad gold-level AI claims ◼️The true cost of training large models (millions in GPU compute) ◼️The privacy risks of uploading proprietary data into APIs ◼️How enterprises should think about fine-tuning vs API-based prompting ◼️Why benchmarks and leaderboards can be misleading Sebastian Raschka has over a decade of experience in artificial intelligence and machine learning. His work bridges academia and industry, serving as a Senior Engineer at Lightning AI and as a faculty member at the University of Wisconsin–Madison. He is the author of Build a Large Language Model from Scratch and is widely recognized for his practical, code-driven approach to AI education and research. His expertise lies in LLM research, transformer architectures, reinforcement learning, and the development of high-performance AI systems, with a strong focus on real-world implementation.In this video:00:00 Intro01:23 The Rise of “Reasoning” and Thinking Models03:06 Inference scaling vs training scaling06:17 What LLMs are actually good (and bad) at07:09 The “Strawberry” Problem and Reasoning Limits09:00 Tool use and why LLMs don’t need to count letters10:20 Math Olympiads & self-refinement techniques12:01 Why coding is the killer use case13:28 Does AI make developers obsolete?18:02 The Reality of 10x developer productivity claims21:43 Generalist vs specialized models23:53 Build from scratch vs fine-tune vs API prompting25:01The true cost of training an LLM27:33 API customization vs owning your model29:12 Who should build an LLM from scratch?33:16 Data requirements & why you need terabytes34:28 Enterprise data challenges35:40 Retrieval-Augmented Generation (RAG) explained46:05 Multi-agent systems & tool calling49:48 The problem with LLM benchmarks55:43 Using LLMs as judges58:00 Biggest misconceptions about LLMs1:04:19 Reinforcement learning with verifiable rewards1:06:32 Advice for technology leaders1:11:48 Escaping AI hype through fundamentalsConnect with Sebastian:LinkedIn: https://www.linkedin.com/in/sebastianraschka/X: https://x.com/rasbtConnect with Sebastian:LinkedIn: https://www.linkedin.com/in/sebastianraschka/X: https://x.com/rasbt Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is artificial intelligence strengthening democracy or quietly reshaping power in ways we’re not prepared for?On this episode of Digital Disruption, we’re joined by world-renowned security technologist and author Bruce Schneier.Bruce is described by the Economist as a "security guru," he is best known as a refreshingly candid and lucid security critic and commentator. He works at the intersection of security, technology, and people. and has been writing about security issues on his blog since 2004 and monthly newsletter since 1998. He is a fellow and lecturer at Harvard’s Kennedy School, a board member of the Electronic Frontier Foundation, and the Chief of Security Architecture at Inrupt, Inc.Bruce joins Geoff to explore one of the most important questions: Will AI strengthen democracy or quietly undermine it? From government services and public policy to cybersecurity, labor, and the justice system, Bruce breaks down how artificial intelligence acts as a power-magnifying technology, amplifying both the best and worst intentions of those who use it. Drawing from real-world examples in Germany, Brazil, Japan, France, Canada, and the United States, this conversation examines where AI is already reshaping democratic institutions. He also outlines four concrete strategies for steering AI toward democratic outcomes: resisting harmful uses, reforming the AI ecosystem, responsibly deploying AI where it helps, and fixing the underlying societal problems AI tends to amplify.This conversation also dives into: ◼️How AI can improve government efficiency without replacing human judgment ◼️The risks of AI concentration in the hands of powerful corporations and governments ◼️AI’s impact on work, jobs, and hiring in an era of automation ◼️The role of regulation, reform, and resistance in shaping AI’s future ◼️Whether AI will ultimately democratize power or reinforce inequality In this video:00:00 Intro02:10 AI as a power-magnifying technology05:00 The four ways AI can help or harm democracy07:20 Real-World AI use in elections and civic engagement (Germany & Japan)10:00 AI in courts, justice systems, and public administration (Brazil)12:30 Journalism, transparency, and AI as an investigative tool15:00 Human-in-the-loop: Why oversight still matters18:20 Designing AI that can say “yes” but not “no”21:00 AI, Work, hiring, and the automation arms race24:00 Fraud, trust, and remote work in the AI Era27:00 Does AI democratize power or reinforce it?30:00 Trustworthy AI vs. “good enough” AI33:00 When AI is forced on citizens without choice36:00 Regulation, markets, and the myth of the AI arms race39:00 What leaders should ask before deploying AI42:00 Jobs, backlash, and AI-driven inequality44:00 Lessons from blockchain and past tech hype cycles48:00 AI, cybersecurity, and the attacker vs. defender balance52:00 The future of AI skills and careers55:00 Steering AI toward democracyConnect with Bruce:Facebook: https://www.facebook.com/bruce.schneierOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

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

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

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