Digital Disruption with Geoff Nielson

Are we chasing the wrong goal with Artificial General Intelligence, and missing the breakthroughs that matter nowOn this episode of Digital Disruption, we’re joined by former research director at Google and AI legend, Peter Norvig.Peter is an American computer scientist and a Distinguished Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He is also a researcher at Google, where he previously served as Director of Research and led the company’s core search algorithms group. Before joining Google, Norvig headed NASA Ames Research Center’s Computational Sciences Division, where he served as NASA’s senior computer scientist and received the NASA Exceptional Achievement Award in 2001.He is best known as the co-author, alongside Stuart J. Russell, of Artificial Intelligence: A Modern Approach — the world’s most widely used textbook in the field of artificial intelligence.Peter sits down with Geoff to separate facts from fiction about where AI is really headed. He explains why the hype around Artificial General Intelligence (AGI) misses the point, how today’s models are already “general,” and what truly matters most: making AI safer, more reliable, and human-centered. He discusses the rapid evolution of generative models, the risks of misinformation, AI safety, open-source regulation, and the balance between democratizing AI and containing powerful systems. This conversation explores the impact of AI on jobs, education, cybersecurity, and global inequality, and how organizations can adapt, not by chasing hype, but by aligning AI to business and societal goals. If you want to understand where AI actually stands, beyond the headlines, this is the conversation you need to hear. In this episode:00:00 Intro01:00 How AI evolved since Artificial Intelligence: A Modern Approach03:00 Is AGI already here? Norvig’s take on general intelligence06:00 The surprising progress in large language models08:00 Evolution vs. revolution10:00 Making AI safer and more reliable12:00 Lessons from social media and unintended consequences15:00 The real AI risks: misinformation and misuse18:00 Inside Stanford’s Human-Centered AI Institute20:00 Regulation, policy, and the role of government22:00 Why AI may need an Underwriters Laboratory moment24:00 Will there be one “winner” in the AI race?26:00 The open-source dilemma: freedom vs. safety28:00 Can AI improve cybersecurity more than it harms it?30:00 “Teach Yourself Programming in 10 Years” in the AI age33:00 The speed paradox: learning vs. automation36:00 How AI might (finally) change productivity38:00 Global economics, China, and leapfrog technologies42:00 The job market: faster disruption and inequality45:00 The social safety net and future of full-time work48:00 Winners, losers, and redistributing value in the AI era50:00 How CEOs should really approach AI strategy52:00 Why hiring a “PhD in AI” isn’t the answer54:00 The democratization of AI for small businesses56:00 The future of IT and enterprise functions57:00 Advice for staying relevant as a technologist59:00 A realistic optimism for AI’s futureConnect with Peter:LinkedIn: https://www.linkedin.com/in/pnorvig/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-first” the future of business or just another tech buzzword?On this episode of Digital Disruption, we’re joined by former Google Chief Decision Scientist and CEO of Kozyr, Cassie Kozyrkov.Cassie is best known for founding the field of Decision Intelligence and serving as Google’s first Chief Decision Scientist, where she helped lead the company’s AI-first transformation. A sought-after advisor and keynote speaker, Cassie has guided organizations including Gucci, NASA, Meta, Spotify, Salesforce, and GSK on AI strategy. She combines deep technical expertise with theater-trained charisma to make complex concepts engaging and actionable for executive and general audiences alike delighting audiences in over 40 countries across all seven continents, including stages at the UN, WEF, Web Summit, and SXSW.Cassie sits down with Geoff to unpack the hidden cost of the “AI-first” hype, the dangers of AI infrastructure debt, and why real AI readiness starts with people, not technology. She reveals how leaders can architect their organizations for innovation, build human-in-the-loop systems, and create cultures that embrace experimentation instead of fearing mistakes.Cassie exposes why 95% of organizations fail to achieve measurable ROI from AI and how leaders can finally bridge the AI value gap. This conversation dives into why AI success isn’t about tools, it’s about leadership, measurement, and mindset.Most organizations chasing “AI transformation” see no measurable ROI not because the technology fails, but because leaders are still measuring value the old way. Generative AI success is hard to quantify when there isn’t a single “right answer,” yet many businesses keep trying to apply outdated metrics to a completely new paradigm.In this video:00:00 Intro00:44 The Generative AI Value Gap: Why 95% get no ROI02:20 The paradox of AI productivity05:38 Why measuring AI value is harder than we think12:04 Leadership abdication: “Just sprinkle AI on everything”15:10 AI infrastructure debt explained20:17 What real AI readiness looks like (beyond tech)23:42 Humans as part of AI infrastructure28:00 Why “AI-first” isn’t one-size-fits-all33:31 Building human judgment into AI systems36:19 The risks of scaling too fast41:34 Automation vs augmentation: where leaders go wrong44:00 The “do the work” approach to AI success48:35 The recipe for an AI-ready organization53:40 Guardrails, governance, and security in AI systems57:00 Thinking probabilistically: a new mindset for leaders1:03:20 The human side of AI transformation1:06:45 Leading through uncertaintyConnect with Cassie:Website: https://www.kozyr.com/aboutLinkedIn: https://www.linkedin.com/in/kozyrkov/X: https://x.com/decisionleaderYouTube: https://www.youtube.com/c/KozyrkovVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Why is adaptability the real superpower for leaders in the digital age?On this episode of Digital Disruption, we’re joined by Erik Qualman, a digital leadership expert, best-selling author, and motivational speaker.Erik is a 5x #1 Bestselling Author and Keynote Speaker who has inspired audiences in over 55 countries and reached 50 million people. Voted the #2 Most Likeable Author in the World behind J.K. Rowling, his work Socialnomics has been featured on 60 Minutes, in The Wall Street Journal, and used by organizations from the National Guard to NASA. A professor of Digital Leadership at Northwestern University, Qualman’s research and courses are studied at 500+ universities worldwide. Through his animation studio, he has partnered with brands like Disney, Oreo, Chase, and Cartier. A former MIT and Harvard edX professor and honorary doctorate recipient, Qualman is also the creator of the bestselling board game Kittycorn.Erik joins Geoff Nielson to break down what it really means to be AI-ready. He reveals why the leaders who know how to leverage AI and adapt fast will replace those who don’t. He explains why AI is overhyped in the short term but underhyped in the long term, and how the most successful leaders of the next decade will blend Flintstones-level human connection with Jetsons-era innovation. Erik explains why adaptability and emotional intelligence (EQ) are the new competitive edge in the age of artificial intelligence. This conversation explores how AI can remove friction, save time, and ironically help us become more human, while also exploring the guardrails needed for responsible tech adoption. Erik also shares lessons from advising some of the world’s top brands including Facebook, Disney, and Sony and explains why the future favors those who fail fast, fail forward, and fail better.In this video:00:00 Intro02:00 The “Flintstones First” approach to digital leadership04:40 How AI helps us become more human06:15 Winners, losers, and adaptability in the AI era08:30 Emotional intelligence and leadership in a tech-driven world11:00 The need for guardrails in AI and social media13:00 Teaching AI and digital leadership at Northwestern15:00 How technology is transforming the classroom17:45 The 70/30 rule: what changes vs. what never will19:00 Core advice for leaders and digital innovators21:30 Avoiding hype: testing new tech like AI and Clubhouse23:00 Lessons from Montblanc and the origins of “Digital Leadership”25:00 The Disney+ story: digital transformation done right27:00 Building a culture of “fail fast, fail forward, fail better”30:00 Balancing the Flintstones and the JetsonsConnect with Erik:Website: https://equalman.com/LinkedIn: https://www.linkedin.com/in/qualman/X: https://x.com/equalmanYouTube: @equalmanVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Could AI’s biggest impact be economic, not technological?On this episode of Digital Disruption, we’re joined by the founder of EZPR and host of Better Offline podcast, Ed Zitron.Ed is a technology writer, public relations expert, and podcaster known for his critical takes on the tech industry and its biggest players. His work has appeared in leading outlets including The Atlantic, Business Insider, and TechCrunch. He is the author of the popular newsletter Where’s Your Ed At, launched in 2020, where he explores the intersection of technology, business, and culture. Ed also hosts the Better Offline podcast, delving into the realities of the tech industry and the ripple effects of the AI boom. With his candid insights and thoughtful commentary, Ed has become a trusted voice and sought-after speaker within the tech community. One of the most outspoken critics of the AI boom, Ed Zitron joins Geoff to cut through the noise and talk about the truth behind generative AI. Ed breaks down why he believes AI “doesn’t work,” what’s really driving the trillion-dollar hype, and why big tech, media, and investors may be steering straight into the next Enron moment. This conversation unpacks why large language models fall short, how Microsoft’s AI Copilot has failed to deliver, and how corporate opportunism and investor “vibes” are fueling one of the biggest speculative bubbles in tech history. They also explore the “Enron-like” risks in the AI hardware race, the potential fallout for retail investors and startups, and tackle one of tech’s most misunderstood narratives, the myth of AI-driven job loss, revealing who’s really being replaced. In this episode:00:00 Intro00:36 “AI doesn’t work”02:05 The limits of LLMs 04:33 Microsoft Copilot and the illusion of productivity07:05 The AI job myth: Who’s really being replaced?10:00 CEOs, opportunism, and the false narrative of AI efficiency12:00 The Salesforce example: Lies, hype, and failure to deliver14:00 What AI can actually do 18:00 The trust problem19:45 Media complacency and tech industry collusion22:00 Microsoft, Nvidia, and false growth25:00 The Enron parallels28:30 Why investors are rewarding bad behavior31:00 Who gets hurt when the AI bubble bursts? 35:00 Unsustainable startups and rising model costs38:00 The coming collapse of AI infrastructure40:00 What business leaders should do now to avoid being burned44:30 The harsh truth about ChatGPT49:00 What real innovation looks like: Batteries, EVs, AR, and more54:00 The future of work beyond AI hypeConnect with Ed:LinkedIn: https://www.linkedin.com/in/edzitron/X: https://x.com/edzitronInstagram: instagram.com/edzitronVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Dr. Ben Goertzel, a leading mind in artificial intelligence and founder of SingularityNET, dives deep into the accelerating progress toward Artificial General Intelligence (AGI). He discusses the implications of corporate incentives in AI innovation, contrasting Big Tech's focus with the potential of decentralized networks. Ben explores the timeline for AGI, the role of large language models, and the risks of unequal job displacement. He also envisions optimistic futures post-AGI and stresses the importance of ethical considerations in AI development.

How are AI and automation shaping both the attack and defense sides of cybersecurity?On this episode of Digital Disruption, we’re joined by the founder and CEO of Have I Been Pwned, Troy Hunt.Troy Hunt is an Australian security researcher and the founder of the data breach notification service, Have I Been Pwned. With a background in software development specializing in information security, Troy is a regular conference speaker and trainer. He frequently appears in the media, collaborates with government and law enforcement agencies, and has appeared before the U.S. Congress as an expert witness on the impact of data breaches. Troy also serves as a Microsoft Regional Director (an honorary title) and regularly blogs at troyhunt.com from his home on Australia’s Gold Coast.Troy sits down with Geoff to share eye-opening insights on the evolving threat landscape of 2025 and beyond. Despite the rise of AI and automation, Troy emphasizes that many of today’s most damaging data breaches and ransomware attacks still stem from basic human error and social engineering. He explains how ransomware has shifted from encrypting files to threatening data disclosure, making it harder for organizations to manage risk and justify ransom payments. The conversation also touches on how breach fatigue and apathy have led many individuals and businesses to underestimate cybersecurity risks, even as incidents rise globally. He also highlights how AI tools are being weaponized by both defenders and attackers and argues that cybersecurity isn’t about perfect protection but about finding equilibrium: balancing usability, education, and risk mitigation.In this episode: 00:00 Intro01:15 Why human weakness beats AI02:00 Young hackers and the rise of scattered spider04:00 From hacktivists to career criminals05:00 Ransomware’s new tactics07:30 Should companies pay the ransom? 10:20 Can you ever be fully protected? Defense vs. response11:20 How to convince boards cybersecurity is worth the money14:20 Breach fatigue and public apathy18:00 Reframing what ‘sensitive data’ really means20:00 Passwords, reuse, and the real risk equation24:00 Biometrics, face ID & the future of authentication26:30 Threat Modeling 10127:30 Barriers to cyber preparedness29:30 How Have I Been Pwned works 32:00 The Future of Data Breaches38:00 Microsoft’s Role in the Security Ecosystem40:30 AI Hype vs. reality in cybersecurity43:00 When AI helps hackers 52:00 Why transparency still matters after every breach54:00 Accepting risk, building resilienceConnect with Troy:Website: https://www.troyhunt.com/LinkedIn: https://www.linkedin.com/in/troyhunt/X: https://x.com/troyhuntVisit 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 digital experiences look like when AI, accessibility, and entrepreneurship collide?On this episode of Digital Disruption, we’re joined by serial tech entrepreneur, accessibility advocate, and co-founder of Global Accessibility Awareness Day (GAAD), Joe Devon.As Chair of the GAAD Foundation, Joe strives to disrupt the culture of technology and digital product development by embedding accessibility as a core requirement. Inspired by his 2011 blog post highlighting the need for mainstream accessibility knowledge among developers, GAAD has grown into an annual event observed on the third Thursday of May, promoting digital access and inclusion for over one billion people with disabilities worldwide. He also co-hosts the Accessibility and Gen.AI Podcast, exploring the intersection of accessibility and artificial intelligence.Joe sits down with Geoff to explore how AI startups are reshaping the digital landscape, from code accessibility to the rise of small business innovation. He shares the story of how one blog post led to a global accessibility movement, why AI-driven tools could either democratize or centralize technology, and how the entrepreneurial spirit will define the next decade. From robotics fused with large language models to AI coding assistants generating billions of lines of code, this conversation dives into the challenges, risks, and opportunities for entrepreneurs and digital leaders navigating this transformation.In this episode:00:00 Intro00:23 The “ChatGPT moment” for robotics01:23 The mission behind Global Accessibility Awareness Day02:29 How AI shifts the accessibility conversation03:08 Why accessibility matters for everyone06:17 Usability and empathy in digital product design12:28 How AI can unlock inclusion and personalization14:45 Aphantasia, hyperphantasia & diverse human abilities17:34 AI and the future of sign language translation19:23 How to work with disability communities23:59 Advice for leaders getting started with inclusive design25:13 AI coding tools revolutionizing software development29:27 Can AI accessibility become the new standard?30:06 How GAAD became a global movement35:24 Entrepreneurship vs. 9-to-5 in an AI-powered economy45:07 Lessons from the early internet and RSS’s decline47:04 The debate on Universal Basic Income (UBI)50:26 Joe’s father’s influence and the accessibility journey52:34 From a blog post to real change in banking57:13 The rise of AI influencers vs. the value of real humans58:36 Advice for those unsure about entrepreneurshipConnect with Joe:LinkedIn: https://www.linkedin.com/in/joedevon/X: https://x.com/joedevonVisit 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 when AI becomes as good at thinking as humans and what skills remain uniquely ours?On this episode of Digital Disruption, we’re joined by Mike Bechtel, Chief Futurist at Deloitte.Mike began his career at Accenture Labs, where his team helped Fortune 500 clients put emerging technologies to profitable use. Twelve years and twelve U.S. patents later, he was named the firm’s first Global Innovation Director, tasked with creating the strategy, processes, and culture to foster company-wide intrapreneurship. At Deloitte, Mike and his team focus on making sense of what’s new and next in technology, with the goal of helping today’s leaders arrive at their preferred futures ahead of schedule. He also serves as an adjunct professor at the University of Notre Dame, where he teaches corporate innovation. In 2013, Mike co-founded and served as Managing Director of Ringleader Ventures, a venture capital firm investing in early-stage startups that had—intentionally or not—built simple solutions to complex corporate challenges.Mike sits down with Geoff to talk about the future of AI and what it means for our work, creativity, and humanity. He shares an optimistic vision of a world where automation elevates human potential, allowing people to focus on creativity, innovation, and connection. This conversation challenges how we think about AI, AI art, the future of work, and the role of human skills. Mike draws on his experience advising leaders and students to show how we can prepare for a future where AI isn’t just a tool but a partner in thinking. He shares insights on the ethical challenges of outsourcing thought, why intent matters in how organizations use AI, and why AI is less about replacing jobs and more about automating the “muck” so humans can focus on the magic. Mike also challenges us to consider: what happens to writing, philosophy, and ethics when machines can master technical tasks faster than ever?In this episode:00:00 Intro01:00 Why AI isn’t new (but why this moment matters)04:10 Automation as a Trojan Horse for elevation05:30 Best practices get automated, next practices get built09:50 Expertise vs. curiosity: Why human skills win15:00 From fear to opportunity17:00 What clients really want in the AI era19:20 Automating muck to unlock magic22:00 The revenge of the humanities & synthetic thinking23:00 Writing = thinking: Why we can’t outsource human thought36:15 Why people still matter42:00 Beyond AI: Blockchain, trust & cryptographic futures47:30 Deepfakes, truth, and the math we can trust1:05:50 The future of IT1:08:00 AI Reshaping corporate teams & skills1:14:40 Guidance for the next generation1:19:30 Staying ahead of AI1:21:45 Key takeawaysConnect with Mike:Website: https://mikebech.tel/bioLinkedIn: https://www.linkedin.com/in/mikebechtel/X: https://x.com/mikebechtelVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Which strategies separate the AI startups that thrive from those that die?Today on Digital Disruption, we’re joined by Jeremiah Owyang, a venture capitalist at Blitzscaling Ventures.Jeremiah, a longtime Silicon Valley native, leads investments in early-stage AI startups at Blitzscaling Ventures. He focuses on startups with the potential for rapid scale and enduring leadership in valuable markets. He also organizes the popular Llama Lounge: The AI Startup Event Series. As a speaker, Jeremiah forecasts how early-stage technology will reshape business and society and advises audiences on how to turn disruption into advantage.Jeremiah sits down with Geoff to unpack the reality of Silicon Valley’s AI gold rush. With more than 38,000 AI startups competing for attention, thin technical moats, and the looming threat of consolidation, founders face more pressure than ever to stand out. He shares insider insights on why most AI startups are vulnerable to being wiped out by a single update from @OpenAI or Google, which industries and roles are most at risk of automation, and why critical thinking remains one of humanity’s most valuable advantages. The conversation also explores how Gen Alpha, the first AI-native generation, will grow up and work differently than any before, as well as the rise of AI agents and their impact on everyday work. In this video:00:00 Intro01:45 The AI startup explosion04:30 Why most AI startups will fail without real advantages07:10 One OpenAI update could destroy your startup overnight10:25 Thin technical advantages and the search for moats13:40 What VCs look for in AI startups17:05 The rise of Lean AI startups20:15 AI agents and the automation of entry-level jobs23:50 The skills humans still need27:10 Gen Alpha: The first AI-native workforce30:20 AI’s role in corporate strategy and decision-making34:00 The Risks of over-reliance on AI in business37:25 From Gold Rush to shakeout41:10 How CEOs can future-proof their companies in the AI era45:30 Humanoid robots, agents, and the next wave of disruption49:15 Winners and losers in the AI economyConnect with Jeremiah:Website: https://web-strategist.com/blog/about/ LinkedIn: https://www.linkedin.com/in/jowyang/Instagram: https://www.instagram.com/jowyang/X: https://x.com/jowyangVisit our website: https://www.infotech.com/Follow us on YouTube: https://www.youtube.com/@InfoTechRG

What risks come with AI systems that can lie, cheat, or manipulate?Today on Digital Disruption, we’re joined by Dr. Ayesha Khanna, CEO of Addo AI.Dr. Khanna is a globally recognized AI expert, entrepreneur, and CEO of Addo, helping businesses leverage AI for growth. With 20+ years in digital transformation, she advises Fortune 500 CEOs and serves on global boards, including Johnson Controls, NEOM Tonomus, and L’Oréal’s Scientific Advisory Board. A graduate of Harvard, Columbia, and the London School of Economics, she spent a decade on Wall Street advising on information analytics. A thought leader in AI, Dr. Khanna has been recognized as a groundbreaking entrepreneur by Forbes, named to Edelman’s Top 50 AI Creators (2025), and featured in Salesforce’s 16 AI Influencers to Know (2024). Committed to diversity in tech, she founded the charity 21C Girls, which taught thousands of students the basics of AI and coding in Singapore, and currently provides scholarships for mid-career women through her education company Amplify. Ayesha sits down with Geoff to discuss how artificial intelligence is disrupting industries, reshaping the economy, and redefining the future of jobs. This conversation explores why critical thinking will be the most important skill in an AI-driven workplace, how businesses can use AI to scale innovation instead of getting stuck in “pilot purgatory,” and what risks organizations must prepare for, including bias, data poisoning, cybersecurity threats, and manipulative reasoning models. Ayesha shares insights from her work with governments and Fortune 500 companies on building national AI strategies, creating governance frameworks, and balancing innovation with responsibility. The conversation dives into how AI and jobs intersect, whether automation will replace or augment workers and why companies need to focus on growth, reskilling, and strategic automation rather than layoffs. They also discuss the rise of the Hybrid Age, where humans and AI coexist in every part of life, and what it means for society, relationships, and the global economy. In this video:00:00 Intro00:43 The future of AI and the next 5 years02:16 The biggest AI risks05:25 Fake alignment & governance09:08 Why AI pilots fail15:30 What successful companies do23:14 AI and jobs: Automation, reskilling, and why critical thinking matters most29:39 The Hybrid Age37:09 AI and society: relationships with AI, human agency, and ethical concerns46:13 Global AI strategies54:00 Overhyped narratives and what people get wrong about AI and jobs56:27 The Skills Gap opportunity58:31 The importance of risk frameworks, critical thinking, and optimismConnect with Dr. KhannaWebsite: https://www.ayeshakhanna.com/LinkedIn: https://www.linkedin.com/in/ayeshakhanna/X: (21) Dr. Ayesha Khanna (@ayeshakhanna1) / XVisit our website: https://www.infotech.com/Follow us on YouTube: https://www.youtube.com/@InfoTechRG