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. Joscha Bach: AGI, Consciousness, and the Evolution of Intelligence

    5日前

    Joscha Bach: AGI, Consciousness, and the Evolution of Intelligence

    Artificial Intelligence is changing faster than most people realize, but are we asking the wrong questions about AI, AGI, consciousness, and the future of society? In this episode, cognitive scientist and AI researcher Joscha Bach joins us for a thought-provoking conversation on artificial intelligence, machine consciousness, large language models (LLMs), AGI, human intelligence, and the future of work. Joscha explains why intelligence is fundamentally about model-building, why consciousness may be a biological training algorithm, and what current AI systems are still missing. The conversation goes far beyond technology, tapping into innovation, capitalism, regulation, scientific progress, institutional trust, democracy, media narratives, AI safety, employment disruption, economic incentives, and the future of human civilization. Joscha shares his perspective on AI doom scenarios, why he believes many fears around artificial intelligence are overstated, and how AI could ultimately empower individuals rather than replace them. This episode offers a different look into artificial intelligence, human progress, and what comes next. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:04 AI doom scenarios & humanity's future 02:00 Defining intelligence & consciousness 05:00 Why AI intelligence is different from human intelligence 06:52 Are LLMs actually intelligent? 08:10 Why AI hallucinates 10:09 Human learning vs machine learning 11:22 Can transformers lead to agi? 12:28 The scaling hypothesis explained 13:58 Mechanistic interpretability & neural networks 15:13 Can AI surpass human understanding? 18:42 AI and the future of scientific discovery 20:14 Why scientific progress feels slower today 22:03 Institutions, incentives & organizational decline 25:05 Trust in government and society 28:31 Can AI improve democracy? 30:40 Why AI gets such negative media coverage 33:03 The AI extinction debate 36:30 AI, automation & the future of jobs 40:05 Big Tech, AI power & capitalism 41:15 Money, markets & resource allocation 46:28 Regulation, innovation & economic growth 49:13 Why innovation is slowing down 51:08 Is Big Tech starving other industries? 54:39 Is there an AI bubble? 57:30 Could the financial system be rebooted? 01:00:17 Cryptocurrency, regulation & economic stability 01:08:27 Regulation, governance & innovation 01:10:33 Lessons from Berlin's innovation culture 01:16:08 AI, surveillance & centralized power 01:18:07 Decentralized AI and individual empowerment 01:20:05 AI, healthcare & professional expertise 01:23:36 Control, society & human responsibility 01:25:00 Advice for leaders and innovators 01:26:03 Escaping filter bubbles Connect with Joscha Bach: LinkedIn: https://www.linkedin.com/in/joschabach X: https://x.com/Plinz 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時間30分
  2. AI vs The Invasion of Work: Could We Take Back Our Lives?

    6月1日

    AI vs The Invasion of Work: Could We Take Back Our Lives?

    Modern work is broken. Endless meetings. Constant notifications. Work invading every corner of life. So, what does the future of work actually look like in the age of AI agents, generative AI, and organizational transformation? Microsoft’s Head of Future of Work & AI, Matthew Loys Duncan, says we’ve reached “human capacity” and that AI may not replace knowledge workers, but instead replace the worst parts of work itself. In this episode, Matthew joins Geoff Nielson to unpack how AI agents, generative AI, and organizational redesign are reshaping white-collar work. He explains why most companies are approaching AI the wrong way, why culture matters more than technology, and how the future of work will be “human-led, agent-operated.” From Microsoft’s Work Trend Index research and AI-native organizations to tacit knowledge, burnout, productivity, and leadership transformation, this conversation explores what happens when businesses stop optimizing old workflows and start redesigning work from the ground up. If you’re trying to understand the real impact AI will have on work, leadership, and business strategy over the next decade, this episode is for you. Like and subscribe for weekly conversations on AI, business, leadership, and the future of work. In this episode: 00:00 Intro 00:01:15 Will AI replace white-collar jobs? 00:02:29 Why AI is a reimagination of work, not doom & gloom 00:03:08 Human-led, agent-operated work 00:03:37 The broken reality of modern office work 00:04:36 Digital overload, meetings & workplace chaos 00:06:16 Human agency vs AI agents 00:07:33 Using AI to redesign your job 00:09:02 Why the best AI users don’t outsource judgment 00:09:49 Delegation, intentional AI use & skill preservation 00:10:54 AI as a team member, not just a tool 00:11:27 The four ways people use generative AI 00:14:10 The rise of AI agents in the workplace 00:16:16 From personal productivity to organizational transformation 00:17:10 Where is the ROI from AI? 00:18:02 Why AI adoption alone fails 00:20:13 Finding the highest-leverage AI opportunities 00:23:27 Re-architecting work in the AI era 00:25:27 Should employees build their own AI agents? 00:28:39 AI-native organizations vs legacy enterprises 00:30:05 AI adoption vs AI absorption 00:32:31 Discovering hidden business value through AI 00:33:27 How legacy firms can compete with AI-native companies 00:35:06 Why AI transformation starts with culture 00:36:05 The role of HR, CEOs & leadership in AI strategy 00:39:14 Why AI is bigger than a technology initiative 00:41:12 The expanding role of the C-Suite in AI transformation 00:46:32 Microsoft’s “learn it all” leadership culture 00:50:00 Democratizing innovation with AI 00:53:23 Tacit knowledge & AI-powered learning 00:57:09 Information retrieval, organizational knowledge & AI 00:59:37 Capturing institutional intelligence with AI 01:00:03 Advice for business & technology leaders 01:03:17 Why there is no AI playbook yet Connect with Matthew: LinkedIn: https://www.linkedin.com/in/matthewloysduncan/ X: https://x.com/matthewloys 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時間5分
  3. The AI Delusion: Why CEOs Still Don’t Get It

    5月25日

    The AI Delusion: Why CEOs Still Don’t Get It

    What if the biggest threat from AI isn’t artificial intelligence… but the economic system controlling it? Author and creator of the Lean Startup methodology, Eric Ries says many of the biggest fears around AI are actually fears about capitalism. In this episode, Eric joins us to talk about why great companies lose their value over time, how shareholder prioritization reshaped modern business, and why AI could either amplify human creativity or become the ultimate cost-cutting machine. He explains the hidden forces behind corporate corruption, the concept of “financial gravity,” and why companies like Costco continue to outperform despite rejecting many traditional Wall Street “best practices.” From private equity and governance structures to AI alignment and the future of human creativity, this conversation explores the incentives shaping business, technology, and society itself. Like and follow for weekly episodes. In this episode: 00:00 Intro 01:00 Why great companies “go bad” 02:10 The rise of corporate corruption 05:48 Is capitalism itself the problem? 07:08 Making money without creating value 10:33 Corporate accountability & human flourishing 13:06 Why this problem keeps getting worse 18:21 How investors destroyed FedMart 21:22 Why Costco defies wall street logic 23:00 Financialization & the collapse of institutions 24:27 How leaders can protect mission-driven companies 27:12 “Financial gravity” explained 31:10 Trustworthiness as a business asset 34:37 Governance structures that actually work 36:20 Transitioning into AI & the future of work 37:42 AI governance & Anthropic 38:37 The AI alignment problem 41:30 Why AI is being optimized for cost cutting 42:15 AI should augment creativity, not replace humans 44:04 How to use AI as a learning tool 46:34 Real examples of AI augmentation done right 49:47 AI-assisted reading & learning 50:22 The problem with AI-generated “slop” 54:58 Why human-made work will become premium 57:19 The future of the attention economy 59:12 Will AI become addictive like social media? 01:00:03 The case for an AI Bill of Rights 01:04:11 Costco, DEI & organizational integrity 01:07:13 AI Regulation, governance & human flourishing 01:13:24 Fighting the “normative consensus” of shareholder primacy 01:21:21 Is the era of shareholder primacy already over? 01:22:22 Final thoughts Connect with Eric: LinkedIn: https://www.linkedin.com/in/eries/ X: https://x.com/ericries 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時間24分
  4. 4 Waves of AI (We're on Wave 2)

    5月18日

    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

    1時間20分
  5. Top Tech Advisor: Every CEO Is Getting AI Wrong

    5月11日

    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

    1時間9分
  6. AI Bust: Oxford Economist on Why the AI Boom Will Be Short-Lived

    5月4日

    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

    1時間4分
  7. AI Revolution or Collapse: EY's AI Leader on 4 Futures of Work in 2030

    4月27日

    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

    1時間4分
  8. Jobs After AI: Futurist Ian Beacraft on What Happens When AI Does All the Work

    4月20日

    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

    1時間4分
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番組について

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.

情報

  • クリエイター
    Info-Tech Research Group
  • 配信期間
    25年 - 26年
  • エピソード
    67
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © Info-Tech Research Group
  • 番組のWebサイト
    Digital Disruption with Geoff Nielson

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