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Digital Disruption with Geoff Nielson

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Digital Disruption with Geoff Nielson
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54 episodes

  • Digital Disruption with Geoff Nielson

    Ex-Ancestry CEO: AI Will Wipe Out Businesses

    03/02/2026 | 1h 22 mins.
    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
  • Digital Disruption with Geoff Nielson

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

    02/23/2026 | 1h 14 mins.
    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
  • Digital Disruption with Geoff Nielson

    AI vs Big Corporations: How You Finally Fight Back

    02/16/2026 | 55 mins.
    On this episode of Digital Disruption, we’re joined by Josh Browder, founder of DoNotPay.

    Josh, also known as the “robot lawyer,” is an entrepreneur and the founder of DoNotPay, often referred to as “the Robin Hood of the Internet.” He created DoNotPay after noticing the disproportionate targeting of elderly and disabled motorists through parking ticket enforcement. Since its launch, DoNotPay has helped UK and New York motorists save an estimated $5 million. Josh has been recognized as one of MIT Technology Review’s “35 Innovators Under 35” and named one of the top legal innovators in America by the Financial Times.

    Josh joins Geoff to discuss how AI in law is transforming the legal landscape and driving real-world innovation. From the impact of artificial intelligence on consumer rights, the legal system, and everyday life, this episode explores how AI is being used to help people push back against predatory business practices.

    Josh shares how his company, DoNotPay evolved from simple legal templates into sophisticated AI agents capable of negotiating directly with companies and in some cases, even AI vs. AI negotiations with corporate chatbots. The conversation dives into how large organizations profit from consumer friction, dark patterns, and bureaucracy, and how AI can help consumers fight fire with fire.

    In this video:
    00:00 Intro
    01:10 Mission behind DoNotPay
    03:00 Why big companies exploit consumer inaction
    05:00 Robo Revenge: Fighting spam calls with AI
    08:00 From templates to AI chatbots: The evolution of DoNotPay
    11:00 AI vs AI: Negotiating bills with corporate chatbots
    14:00 Subscription traps, free trials, and dark patterns
    16:00 Medical bills, the no surprises act, and AI negotiation
    18:45 Property taxes as the next major consumer battleground
    20:00 Phone AI agents and real-time negotiation challenges
    23:00 Ethical Constraints: Why DoNotPay’s AI never lies
    25:00 Passive AI: The future of automatic refunds
    27:00 Unclaimed money and forgotten refunds
    29:00 Will AI replace lawyers? Legal industry disruption
    32:00 AI inside DoNotPay: Running a lean, profitable company
    35:00 Training AI models and the new AI job economy
    38:00 Bias, truth, and the limits of AI judgment
    41:00 Venture capital, scale, and staying independent
    44:00 Real stories: Justice, anger, and consumer wins
    47:00 Why consumer exploitation isn’t going away
    49:00 The future of AI assistants, wearables, and contracts
    51:00 Bold predictions: AI, robotics, and human relationships
    53:00 Where AI should not be used

    Connect with Josh:
    LinkedIn: https://www.linkedin.com/in/joshua-browder-b0b573116/
    X: https://x.com/Joshuabrowder
    Instagram: https://www.instagram.com/joshuabrowder12/

    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
  • Digital Disruption with Geoff Nielson

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

    02/09/2026 | 1h
    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
  • Digital Disruption with Geoff Nielson

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

    02/02/2026 | 57 mins.
    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

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About Digital Disruption with Geoff Nielson

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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