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. 4 Waves of AI (We're on Wave 2)

    6D AGO

    4 Waves of AI (We're on Wave 2)

    Are we entering the most transformative era of work in history? Technology is evolving weekly, and culture takes time to adapt. In this episode, AI futurist and award-winning innovation leader Maurice Conti explains how rapid technological change, especially in artificial intelligence, will shape our world, the economy, and the future of jobs, and what AI leadership means for navigating these shifts. Drawing on his experience with companies like Amazon, Nike, Mercedes, and Lululemon, Maurice shares insights from Fortune 100 companies and explains how generative AI, automation, and human-AI collaboration are transforming the workplace. The key insight is simple. The future of AI is not big, flashy, or “sexy.” It is quiet, invisible, and massively impactful. Maurice explains why we have entered the “Augmented Age,” where humans and AI work together, and outlines the major shifts known as the 4 Waves of AI defining this transformation, including the grassroots AI revolution happening inside organizations and the rise of AI agents and ecosystems. If you want to understand where AI is really going beyond the hype, this is a must-watch episode. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:04 The “Augmented Age”: Humans + AI working together 02:10 Sci-Fi to reality: Talking to computers like Star Trek 04:11 Have we arrived at intuitive AI? 05:15 Why AI progress isn’t linear 06:05 Can anyone predict the future of AI? 07:05 The Nvidia story & “more AI in the future” principle 08:57 Amara’s Law: Short-term hype vs long-term impact 10:08 Why AI will be bigger (and slower) than expected 10:54 The 4 Waves of AI explained 11:00 Wave 1: “Interesting but not useful” AI 12:31 Wave 2: Grassroots AI (hidden ROI inside companies) 13:16 Why CEOs can’t see AI ROI 14:09 Tool users → tool makers (the real shift) 16:17 The invisible productivity explosion 20:10 Wave 3: AI agents & ecosystems 21:48 Wave 4: AI as electricity (invisible & everywhere) 23:18 The dark side of “interesting AI” 26:15 Personal AI use cases (daily life & work) 27:09 Why most organizations are still “Grassroots” 28:38 The explosion of tools (new risks for IT) 30:15 CIO/CTO challenges: Control vs innovation 33:09 Building the right AI infrastructure layer 34:45 Where should companies invest in AI? 37:14 Start with the problem, not the technology 40:04 Toolset vs skillset vs mindset 42:45 Why mindset & culture matter most 44:28 The race to the bottom vs innovation 45:15 New workplace norms & ethical questions 49:49 Why culture changes slowly 51:33 Tech vs culture: A fundamental tension 52:30 Can organizations adapt to constant change? 56:06 The myth of big, sexy AI 57:01 Small AI, massive impact 58:18 Where real innovation is happening 59:13 Why young workers lead AI adoption 01:01:22 Advice for leaders 01:02:59 AI is a “Lord of the Rings” journey 01:05:15 Will AI replace jobs? 01:10:23 Lessons from past tech revolutions 01:13:47 Why humans need ~25 years to adapt 01:16:02 Why expectations rise with technology 01:17:38 Why there will always be more work to do 01:18:55 Final thoughts Connect with Maurice: LinkedIn: https://www.linkedin.com/in/mauriceconti/ 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 20m
  2. Top Tech Advisor: Every CEO Is Getting AI Wrong

    MAY 11

    Top Tech Advisor: Every CEO Is Getting AI Wrong

    What if everything we’ve been told about AI and the future of work is wrong? John Hagel says most leaders are asking the wrong questions: “How fast can we automate?” “How many jobs can we cut?” According to him, that’s a “going out of business strategy.” In this episode, we sit down with Silicon Valley veteran John Hagel, an advisor to firms like McKinsey, BCG, and Deloitte, to challenge the dominant narrative around AI, automation, and job elimination. He shares insights into how leaders are approaching AI today, often focusing on cost-cutting and workforce reduction, and what that means for the future of business and entrepreneurship. John explains that the real opportunity with AI isn’t efficiency, it’s learning. He talks about the shift from scalable efficiency to scalable learning and how organizations can use AI to augment human potential, unlock creativity and curiosity, and build cultures rooted in trust, collaboration, and continuous improvement. If you’re thinking about the future of work, this episode will challenge how you view AI, strategy, and innovation, and offer a different perspective on AI’s role in the modern economy. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:30 Is “this time different” with technology? 02:29 The Big Shift: Why organizations must fundamentally change 03:18 Scalable efficiency vs scalable learning 05:33 The dangerous AI narrative: automation & job cuts 06:19 Why efficiency alone leads to diminishing returns 09:42 Trust: The missing foundation in most organizations 10:50 What happens when companies fail to adapt 12:21 Debunking AI myths and media narratives 12:46 Humans vs machines: who should do what? 13:14 Reskilling vs building human capabilities 15:03 How to convince leaders to rethink AI strategy 16:24 Fear vs opportunity in leadership 20:16 What real workplace learning looks like 21:18 The future leader: asking better questions 24:38 How to structure high-impact teams 26:06 The collapse of trust in institutions 26:58 Corporate narratives & Apple’s “Think Different” 30:06 Creativity vs technology in strategy 30:41 Zoom Out, Zoom In strategy explained 33:08 Microsoft example: seeing the future early 35:14 Why agility without direction fails 37:21 Understanding “the edge” and innovation 39:34 Why transformation efforts fail in large companies 41:22 Scaling the edge vs top-down change 42:52 The power of the “explorer mindset” 47:18 Why companies suppress passion 48:31 Only 14% of workers are truly passionate 50:18 Can passion be cultivated at scale? 52:29 Does IT still matter in the AI era? 55:07 AI, healthcare, and the future of longevity 57:13 From healthcare to “wellness ecosystems” 58:19 The rise of the trusted advisor 59:50 Can AI replace human advisors? 01:02:25 Advice for leaders 01:04:18 AI is a tool humans determine its impact 01:06:29 Why most digital transformations fail Connect with John: LinkedIn: https://www.linkedin.com/in/jhagel/ X: https://x.com/jhagel 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 9m
  3. AI Bust: Oxford Economist on Why the AI Boom Will Be Short-Lived

    MAY 4

    AI Bust: Oxford Economist on Why the AI Boom Will Be Short-Lived

    What if the AI revolution isn’t what we’ve been promised? What does an economist and bestselling author have to say about the idea that Big Tech may be overselling the future of artificial intelligence? In this episode, Oxford economist and Associate Professor of AI & Work, Carl Benedikt Frey, shares his skeptical perspective on the impact of artificial intelligence. He explains what it could mean for the future of work, including job market shifts and the necessity of skills development. This conversation takes a critical look at the economic changes driven by AI, challenging the dominant narrative around productivity and technological progress. While Big Tech describes a future of abundance, Carl argues that history tells a more complicated story. From the Industrial Revolution to the computer age, breakthrough technologies didn’t automatically lead to sustained productivity or shared prosperity, and AI may follow a similar path. Like and follow for weekly episodes. In this episode: 00:00 Intro 00:57 Why the “AI Abundance” narrative might be wrong 01:45 Lessons from the computer revolution & productivity slowdown 03:30 AI vs computers: Automating cognition vs information 05:19 Why Big Tech may be overhyping AI impact 06:20 Automation vs creating new industries 08:08 AI infrastructure race: US vs China 10:25 The “Steam Engine Moment” AI hasn’t reached 12:31 Why technology alone isn’t enough 14:19 Why breakthrough innovation is declining 15:09 The collapse of business dynamism 15:45 Corporate lobbying, patents & barriers to entry 17:27 Why this matters more than AI itself 18:20 Startups vs Big Tech: Who drives innovation? 19:36 Will AI accelerate economic inequality? 21:37 Lessons from the Gilded Age & Antitrust History 24:04 Why strong governments enable competition 25:00 Big Tech vs historical monopolies 26:19 Centralization vs decentralization in innovation 29:01 Japan vs US 33:56 AI and the “more vs better work” problem 35:20 Will AI lower quality in research & knowledge? 36:23 AI: Increasing quantity vs improving quality 38:16 Why AI benefits low-skill workers more 39:49 AI and the rise of global labor competition 40:42 AI-driven offshoring 42:17 Which jobs are most at risk? 44:06 Long-term labor market predictions 46:20 Where humans still beat AI 48:15 The growing anti-AI backlash 49:11 Historical resistance to technology 53:39 Can government reduce AI disruption? 56:01 Why institutions determine outcomes 59:25 Advice for business leaders 01:00:12 Why decentralized companies win 01:02:24 Why innovation requires “waste” Connect with Carl: LinkedIn: https://www.linkedin.com/in/carlbfrey/ X: https://x.com/carlbfrey 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
  4. AI Revolution or Collapse: EY's AI Leader on 4 Futures of Work in 2030

    APR 27

    AI Revolution or Collapse: EY's AI Leader on 4 Futures of Work in 2030

    Why are 88% of businesses using AI but only 5% seeing real transformation? In this episode, we sit down with Dan Diasio, EY’s Global Consulting AI Leader and CTO, to break down the four possible futures of AI, from constraint to full transformation, and what it takes for organizations to win in an AI-driven world. Drawing from his experience advising Fortune 50 executives, Dan explains how leaders are navigating uncertainty, why many companies fall into the “sameness trap,” and what separates simple AI adoption from true competitive differentiation. We also explore the rise of AI agents and end-to-end workflows, why mindset and skillset matter more than toolset, and what the future of jobs looks like in an AI-first world. If you are thinking about AI strategy, leadership, or how to prepare your organization for what comes next, this episode delivers practical and forward-looking insights. Like and subscribe for weekly episodes. In this video: 00:00 Intro 00:40 Inside SXSW: Future-proofing AI strategy 02:14 Why predicting AI is impossible 02:56 The four AI futures explained (constraint → collapse) 04:36 What winning teams did differently 05:50 The “sameness trap” in AI 06:19 Positive vs negative AI futures 07:23 Constraint, growth, transform, collapse 09:54 What people actually believe about AI’s future 10:45 How do you win with AI? 13:17 Why business model innovation beats automation 14:02 Hands-on AI 15:46 How AI commoditizes output 17:01 AI investment trends: Productivity vs differentiation 18:13 The shift toward competitive advantage with AI 19:27 The AI Playbook: How leaders get it right 20:34 Going broad vs going deep with AI 21:11 88% vs 5%: The AI Adoption Gap 22:20 Mindset vs skillset vs toolset 23:27 Top-down vs bottom-up AI transformation 25:16 The visibility trap explained 26:06 Why new talent drives AI innovation 28:22 AI resistance & fear in organizations 29:43 “Death by a Thousand Papercuts” automation 30:54 New jobs: Knowledge Engineers & AI Orchestrators 32:48 Future Skills: Critical thinking, creativity, systems thinking 35:12 The role of IT in the AI era 37:34 AI as the new operating system of business 39:01 SaaS vs A 44:35 AI prototyping vs enterprise-scale systems 47:18 Will AI kill consulting? 54:07 AI infrastructure constraints & global risks 56:09 Biggest AI myths & misconceptions 57:34 Are we automating the wrong things? 59:27 Amara’s Law & AI hype cycles 01:00:12 How leaders should prepare 01:01:01 Why value creation beats cost cutting 01:02:17 Aligning AI strategy across the organization Connect with Dan: LinkedIn: https://www.linkedin.com/in/dan-diasio/ 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
  5. Jobs After AI: Futurist Ian Beacraft on What Happens When AI Does All the Work

    APR 20

    Jobs After AI: Futurist Ian Beacraft on What Happens When AI Does All the Work

    This is not just a technology shift. It is a human, organizational, and identity transformation. In this episode, we sit down with Ian Beacraft, Founder and Chief Futurist at Signal and Cipher, to talk about one of the most urgent questions facing leaders today: what happens to work, organizations, and identity in the age of AI? Ian argues that the next two years will matter more than the last 30, and that AI is not just another tool. It is a platform reshaping economies, organizations, and how we define work itself. We break down why most companies are getting AI wrong, the critical difference between culture and coordination, and how the rise of AI agents is shifting value from doing the work to designing it. We also cover what leaders need to do right now to stay ahead, including real world examples of failed AI adoption, the growing power of small teams, and the coming identity shift in the workplace. Like and subscribe for weekly episodes. In this video: 00:00 Intro 01:20 Biggest AI trends since last year 02:28 Why AI is not just a tool 03:28 AI, identity, and the redefinition of work 04:08 The real threat: Outdated organizational thinking 05:00 Culture vs coordination explained 07:08 The danger of replacing humans with AI 09:48 Employee anxiety & leadership impact 11:19 Why AI is NOT an IT problem 12:31 How organizations should approach AI 15:04 Encoding human expertise into AI systems 16:22 Trust, fear, and job replacement concerns 17:23 Leadership, vision & the social contract 20:50 Why most leaders lack vision today 21:46 “What you do in the next 2 years is your legacy” 23:14 Incremental vs transformational AI thinking 24:25 Encoding organizational identity for AI 29:02 Why everyone must redesign their own work 31:16 From doing work to designing work 34:50 How leaders should drive AI adoption 38:08 Lessons from Building an AI-native organization 41:23 Rethinking departments & organizational structure 42:33 AI agents running autonomous workflows 44:08 The future role of culture 45:12 Real examples of AI agents in action 48:21 Small teams vs large organizations 49:04 The rise of entrepreneurship with AI 50:07 Which jobs are most at risk 55:13 Finding your competitive moat in AI 56:47 Why AI adoption is Lagging 57:24 Prediction: The future will be messy 59:38 Why systems must break before they improve 01:00:29 The AI transformation is about people, not tech Connect with Ian: LinkedIn: https://www.linkedin.com/in/ianbeacraft X: https://x.com/ianbcraft Instagram: https://www.instagram.com/ianbcraft/ 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
  6. Ex-Twitter AI Ethicist Warns: The 2016 Data You Forgot About is Now Dangerous

    APR 13

    Ex-Twitter AI Ethicist Warns: The 2016 Data You Forgot About is Now Dangerous

    Are we giving up our freedom for convenience without realizing it? In this episode, we sit down with Dr. Rumman Chowdhury, a globally recognized AI ethics leader featured in Time and Forbes, to unpack the real risks of artificial intelligence, Big Tech power, and data privacy. As the former Head of AI Ethics at Twitter and Accenture, Dr. Chowdhury shares an insider perspective on how Big Tech is consolidating power, why narratives around AGI and “AI intelligence” are often misleading, and how everyday tools from apps to social media, are quietly shaping a surveillance-driven ecosystem. This conversation dives into AI ethics, surveillance, and the future of work, and explores why trust in AI is declining even as adoption accelerates. We also break down the real-world implications of AI, and most importantly, how you can protect your data, reclaim your agency, and use AI more intentionally. In this video: 00:00 Intro 01:16 What’s wrong with AI today 02:18 Why people trust AI less every year 03:09 Big tech vs the technology itself 04:22 Dangerous narratives about AI 06:09 Anthropomorphism and moral outsourcing 07:40 The myth of AGI and profit motives 09:20 The economics behind AI power 11:21 Consumer responsibility and the privacy paradox 13:42 “I have nothing to hide” explained 15:04 How big tech is consolidating control 16:42 What consumers should actually do 18:30 Real-world consequences of data misuse 21:05 From Pokémon Go to surveillance systems 22:29 The dilemma of social media and platforms 26:05 Can AI still be used for good 28:20 Algorithms, manipulation, and loss of agency 30:12 Inside AI ethics at Twitter 33:48 Why leadership and trust are changing 35:17 Surveillance capitalism and public backlash 37:31 How to think strategically about AI 41:19 Finding agency and intentional use of AI 45:06 Will society push back against AI power 52:02 The role of AI ethicists and builders 56:41 The future of work and automation reality 01:01:32 Why expertise and discernment matter most 01:06:35 Advice for business leaders using AI 01:11:33 Final thoughts on agency and discernment Connect with Dr. Rumman Chowdhury: LinkedIn: https://www.linkedin.com/in/rumman/ Instagram: https://www.instagram.com/rumman_c/?hl=en 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 15m
  7. The AI Comet Has Struck: Moonshots' Salim Ismail Warns Most Organizations Won't Survive AI

    APR 6

    The AI Comet Has Struck: Moonshots' Salim Ismail Warns Most Organizations Won't Survive AI

    What happens when AI, energy, and technology all go exponential at the same time? Salim Ismail says we’re entering a “messy decade” of disruption… In this episode, we sit down with Salim, the founding executive director of Singularity University and author of Exponential Organizations, to break down the rapid acceleration of AI, robotics, space tech, and solar energy, and what it all means for jobs, business, governments, and your future. Salim explains why AI is doubling every 8–10 weeks, how the cost of technology is collapsing, and how this shift is reshaping innovation, the workforce, and global power structures. From space-based data centers and abundant energy to the rise of AI-native companies, this conversation explores the technologies driving one of the biggest transformations of our time. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:00 What’s actually going exponential right now 03:30 The convergence of multiple exponential technologies 05:00 Space tech breakthroughs & $6M rocket launches 06:30 Data centers in space & infinite compute 07:45 From scarcity to abundance: the big shift 10:30 Real-world examples: music, communication, and industry disruption 12:45 The “messy decade” before the future gets better 14:00 Why institutions are breaking down (government, media, education) 15:30 Star Trek vs mad max: two possible futures 17:00 Why humans fear AI 20:00 Why technology is still humanity’s biggest advantage 23:00 Will AI take your job? 25:00 The ATM example: why jobs don’t disappear 26:30 AI organizations and 80% workforce reduction myth 28:30 The future of companies: small teams, big impact 30:00 The rise of the creative economy 32:00 Why human experience becomes more valuable 34:30 AI and human experts (doctors, teachers, consultants) 37:00 Which industries will be disrupted first 40:00 Why governments are falling behind 41:30 How to actually innovate 46:30 What leaders must do right now 50:00 What is an exponential organization? 52:30 “What do I do on Monday?” practical advice 57:00 The only strategy that works 59:00 AI startups & the future of entrepreneurship 01:02:00 Why most companies will fail to adapt 01:06:00 How to increase organizational speed 01:10:00 Leadership in the age of exponential change 01:15:00 The future of nations vs cities 01:20:00 Remote work vs in-person work 01:25:00 Robots, AI, and the coming inner loop 01:26:30 Why AGI is misunderstood 01:32:00 What most people get wrong about the future 01:34:00 Fixing civilization & human evolution 01:37:00 Psychedelics, creativity, and human potential 01:42:00 AI solving science and R&D autonomously 01:48:00 Raising kids in an AI world 01:52:00 The risk of losing human connection 01:53:00 Where we’re headed Connect with Salim: LinkedIn: https://www.linkedin.com/in/salimismail/ X: https://x.com/salimismail 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 54m
  8. AI is Losing Ground: Futurist Brian Solis on Why AI Adoption is Failing

    MAR 30

    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
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4.6
out of 5
29 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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