
Digital Disruption with Geoff Nielson
The Next Industrial Revolution is Already HereDigital Disruption is where industry leaders and experts share insights on leveraging technology to build the organizations of the future. As intelligent technologies reshape...
AI overview.Info-Tech Research Group is a leading research and advisory firm specializing in IT and technology insights for organizations seeking to navigate the complexiti…
Insights from recent episode analysis
On the show
- Dan Diasio1 ep
- Ian Beacraft1 ep
- Dr. Rumman Chowdhury1 ep
Also: Salim Ismail, Brian Solis, Chip Conley, Amy Webb, Bala Muthiah, Deborah Liu, Sebastian Raschka, Carl Benedikt Frey, Matthew Loys Duncan, Eric Ries, Maurice Conti, John Hagel, Joscha Bach, Laurence Moroney, Jeremy Roberts, Alexander Manu, Dag Kittlaus
Audience Interest
- digital transformation strategies
- technology trends and insights
Podcast Focus
- interviews with industry leaders
- leveraging intelligent technologies
Publishing Consistency
- 59 episodes produced
- active for 1 year
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on 3 signals.
Built from
By chart position
- 🇺🇸United States · TechnologyHOME#2017K to 91K
- 🇨🇦Canada · Technology#29463 to 2.4K
- 🇰🇪KE · Technology#708 to 41
- Per-Episode Audience
Est. listeners per new episode within ~30 days
18K to 94K🎙 Weekly cadence·79 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
35K to 187K🇺🇸97%🇨🇦3% - Active Followers
Loyal subscribers who consistently listen
19K to 103K185 real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/12/26 | Is AI Already Conscious? Google’s Blaise Agüera y Arcas Explains | Is AI consciousness already here and can we reclaim our technological optimism? Google’s Blaise Agüera y Arcas shares why he believes AGI has already arrived and what AI can teach us about consciousness, cooperation, and the human mind.Blaise joins us on this episode of Digital Disruption to talk about AI consciousness, large language models, and why intelligence is inherently social. He explains how AI agent swarms work together, what recursive self-improvement looks like today, and why he questions the idea that smarter machines will inevitably dominate humanity.He questions why we find it easier to imagine catastrophe than a better future. And this conversation examines how negative news shapes our expectations of AI, and why taking its risks seriously can coexist with optimism about its potential.From AI alignment and mass surveillance to jobs and economic inequality, Blaise considers whether our institutions are ready for the changes ahead. He shares how AI could accelerate progress in medicine, robotics, and climate solutions, while emphasizing the work needed to turn those possibilities into reality.This episode asks an important question: As AI becomes more capable, how do we make sure the benefits reach everyone?Follow for more conversations about AI, technology, innovation, and digital transformation.In this episode:00:00 Intro02:12 Rethinking artificial intelligence 04:35 Can technology be considered alive?06:13 What does it mean for AI to be conscious?08:23 Multi-agent systems and the role of self-awareness11:48 Could AI have a subjective experience?17:49 What split-brain experiments reveal about consciousness20:49 Building your AI strategy with Infotech21:56 The Self: One mind or many parts?23:38 How LLMs differ from human minds28:19 Octopus intelligence, AI agent swarms, and identity32:52 Why Human Intelligence Is Collective38:19 Why Blaise believes AGI is already here43:59 Multi-agent AI and the next frontier of intelligence47:25 Recursive self-improvement and the singularity50:41 AI coding agents and the risks of faster automation54:18 AI Alignment: whose values should AI follow?58:20 Will smarter AI dominate humanity?1:01:42 Mass surveillance, power, and human disempowerment1:04:09 AI breakthroughs in medicine, robotics, and space1:08:12 Why are we so pessimistic about the future?1:11:29 Why AI doom gets more clicks1:13:16 Taking AI researchers’ fears seriously1:16:42 Nostalgia and the accelerating pace of change1:21:08 Is our economy ready for AI?1:24:07 AI, job loss, and the fear of losing income1:26:36 What should leaders and society do next?1:29:23 AI, climate change, and clean energy1:31:06 Moving AI computing into space1:31:42 Final thoughts1:32:06 About InfotechConnect with Blaise:LinkedIn: https://www.linkedin.com/in/blaise-ag%C3%BCera-y-arcas-85626a42/X: https://x.com/blaiseagueraIG: https://www.instagram.com/blaiseagueraOur 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 | 1h 31m 36s | ||||||
| 10/5/26 | The Other AI Revolution: Why Predictive AI will Overtake Generative AI in 2027 | Predictive AI often gets ignored, yet it may hold the real key to business value in the current tech landscape.Machine learning expert Eric Siegel, author of The AI Playbook and Predictive Analytics, joins the Digital Disruption podcast to explain why organizations should invest at least as much in predictive AI as they do in generative AI. He breaks down how predictive AI can improve real-world operations, why so many AI pilots fail to reach deployment, and where the promise of autonomous AI agents encounters reliability challenges. While generative AI captures the headlines, Eric argues that more dependable returns often come from systems that predict outcomes and improve decision-making.The conversation explores the differences between predictive and generative AI, why meaningful business value comes from deployment rather than impressive demos, and the limitations of fully autonomous AI agents and artificial general intelligence. Tune in to learn how predictive AI could make generative AI more reliable, why business leaders and data scientists need to work together, and whether AI will really cause a job apocalypse.Like and follow for more conversations on AI, technology, innovation, the future of work, and digital transformation. 00:00 Why businesses may be investing in the wrong AI00:47 Predictive AI vs. generative AI03:01 How large language models fit into predictive AI06:59 What kind of AI is solving real-world problems?08:06 The two “wows” of AI: Impressive demos vs. deployment09:28 Build your AI strategy with Info-Tech10:37 Why predictive AI is still delivering business value12:32 Why most AI pilots fail to reach production16:25 AI hype and mismanaged expectations19:31 AI agents, AGI, and the promise of autonomy20:44 Can predictive AI make generative AI more reliable?23:57 Why full AI autonomy remains unrealistic26:59 Large language models vs. human intelligence29:21 The limits and diminishing returns of AI models31:35 What businesses are getting wrong about AI35:35 Bridging the gap between technology and business leaders37:18 Why leaders need a semi-technical understanding of AI38:59 Three questions every predictive AI project must answer42:22 Will AI replace developers and other technical roles?49:29 Who should own AI strategy and accountability?53:41 Is AI creating the productivity gains we were promised?55:49 Could future technology overcome today’s AI limitations?59:21 How organizations can unlock more value from AI1:01:43 Eric Siegel’s six-step AI deployment framework1:04:42 Why AI is a business improvement project, not a tech install1:06:02 What’s new in The AI Playbook1:09:30 Eric’s advice for business and technology leaders1:10:46 About Info-Tech Connect with Eric:LinkedIn: https://www.linkedin.com/in/predictiveanalytics/X: https://x.com/predictanalytic?lang=en IG: https://www.instagram.com/eric_siegel/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 | 1h 11m 39s | ||||||
| 9/28/26 | AI Humanoid Robots Have Already Entered the Workforce. Should You Care? | The robot workforce is already here. AI-powered humanoid robots are entering factories and warehouses to address a growing labor gap, but are they filling jobs or replacing the people who do them?Peggy Johnson, CEO of Agility Robotics, joins us to talk about how Digit is moving from robotics demonstrations into real workplaces. She explains why humanoid robots could become essential to manufacturing and logistics, how AI is accelerating their capabilities, and why safety remains the biggest barrier to widespread adoption.From physical AI and labor shortages to robot fleet managers and the future of work, this episode looks beyond the fear of robot overlords to ask: how will humans and robots work together in the years ahead?Subscribe for more conversations on AI, technology, innovation, the future of work, and digital transformation.00:00 Why humanoid robots may be essential00:47 Peggy Johnson, CEO of Agility Robotics01:41 Are humanoid robots creating a dystopian future?03:43 How workers respond to robots in the workplace05:42 Why build robots in the human form?07:27 Will humanoid robots replace human jobs?11:45 Why reshoring manufacturing will require robotics14:12 Info-Tech AI strategy14:42 What humanoid robots could do by 203217:35 The biggest barrier to adoption: Robot safety19:17 Why robots in the home are still years away22:13 How big and powerful is agility robotics’ Digit?24:44 Can humanoid robot accidents be prevented?28:29 Competing with Elon Musk and Tesla Optimus30:56 What separates deployment from a robotics demo33:37 How companies deploy humanoid robots37:01 Which industries are adopting robotics?39:24 Scaling production to meet demand41:08 How AI is accelerating humanoid robotics45:36 How digit makes decisions on the factory floor48:52 Hardware and software upgrades for robots50:57 What comes after agility robotics’ Digit?53:22 Will robots eventually do everything humans can?55:58 The future of physical AI and automation58:13 Peggy Johnson’s advice for business and tech leaders59:32 About Info-TechConnect with Peggy:LinkedIn: https://www.linkedin.com/in/peggyljohnson/X: https://x.com/agilityroboticsIG: https://www.instagram.com/agility_robotics/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 | 1h 00m 19s | ||||||
| 9/21/26 | AI Researchers Are Panicking | What Comes Next is Worse Than Nuclear Bombs | What is PDoom, and why are the people building artificial intelligence willing to risk human extinction?Kevin Roose, a New York Times technology columnist, Hard Fork co-host, and author of The AGI Chronicles, shares what he learned from interviewing more than 150 people inside the world’s leading AI companies.Kevin joins us on Digital Disruption to talk about what artificial general intelligence really means and how fear, ego, rivalry, and mistrust are accelerating the race between OpenAI, Anthropic, and Google DeepMind. He also explains why AI leaders compare this moment to the Manhattan Project: if they don’t build AGI first, someone more dangerous might.Kevin also shares why he estimates a 10% chance of AI-caused extinction and discusses the private fears of AI researchers, government regulation, autonomous AI agents, and whether the AI boom is a bubble or the beginning of a profound transformation.This episode moves beyond the hype to ask an important question: If advanced AI is inevitable, how much control do we still have over what happens next?Subscribe and follow for more conversations about AI, technology, innovation, and digital transformation.In this episode:00:00 Why AI builders fear human extinction00:43 Inside the race to build AGI01:24 What does AGI actually mean?05:16 AI safety warnings or marketing hype?07:27 The rivalries driving the AI race08:44 Building a boardroom-ready AI strategy09:51 The personal feuds behind AGI10:58 AI’s Manhattan Project mindset12:27 Is AI the new atomic bomb?14:58 Can advanced AI be contained?16:28 AI regulation and the global arms race17:35 What is P(doom)?19:54 What will force governments to act?21:29 What AI researchers say in private23:08 Why the public backlash is growing26:15 Why Kevin Roose changed his mind about AI29:42 Is advanced AI inevitable?32:28 AGI and the point of no return34:38 The race to automate AI research36:23 AI and gradual human disempowerment40:10 What happens when AI masters your skills?42:18 Will AI liberate us or replace us?44:18 The AI claims Kevin does not believe46:21 Is the AI boom a financial bubble?50:20 AI labs and economic concentration55:08 Inside the AGI chronicles57:07 How should people prepare for AI?58:29 About Info-Tech#ai #futureofwork #technologypodcast #aibubble #bigtech #artificialintelligence #technology #datacenter #agi #anthropic #futureofaiConnect with Kevin:LinkedIn: https://www.linkedin.com/in/kevin-roose/X: https://x.com/kevinrooseIG: https://www.instagram.com/kevinroose/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 | 59m 17s | ||||||
| 9/14/26 | There Is No AI Race. Inside the Trillion-Dollar Lie | Why have the United States and China pulled so far ahead in the global technology race? Mehran Gul, author of The New Geography of Innovation, argues that the answer goes far beyond individual companies or breakthrough technologies.In this episode, we sit down with Mehran to discuss how successful innovation ecosystems are actually built, why Silicon Valley remains so difficult to replicate, and how China rapidly emerged as a global technology superpower. We also talk about why Europe and India have struggled to produce technology giants at the same scale, and how talent, capital, universities, government, and entrepreneurship shape long-term competitiveness.Mehran also breaks down the extraordinary concentration of money flowing into AI companies like OpenAI, Anthropic, and Nvidia, whether today’s AI valuations are sustainable, and why a major market correction could still happen without ending America’s technological dominance. From AI investment and venture capital to Silicon Valley, China, Europe, India, and the future of global innovation, this episode looks beyond the AI hype to ask a much bigger question: who will actually shape the next era of technology? Subscribe and follow for more conversations with the world’s leading thinkers on AI, technology, innovation, and digital transformation.In this episode:00:00 The AI bubble and America’s technology lead01:47 The new geography of innovation05:30 How China became a technology superpower09:13 Can other countries replicate China’s success?13:17 What does “innovation” actually mean?16:21 Are tech valuations measuring real innovation?21:03 Does geography determine who wins in technology?25:01 Will the U.S. and China dominate the next decade?29:31 Why Europe’s push for tech sovereignty is struggling33:05 Can government policy actually create innovation?37:24 PayPal vs. Skype: How innovation creates more innovation39:47 Is America’s technology dominance a zero-sum game?43:52 Who is the world’s third-largest technology power?45:07 Why “indispensability” may matter more than tech sovereignty47:00 What This global tech race means for business leaders48:32 Why AI investment is becoming more concentrated51:29 Are we betting too much on a few tech leaders?53:35 What Japan’s collapse can teach us about U.S. tech56:13 Could the AI bubble actually burst?59:22 Could China overtake the U.S. in Technology?1:03:29 When government helps and hurts innovation1:05:51 Predictions for the next era of global technology1:07:50 Do We need to redefine innovation?1:10:02 Where business leaders should look for innovation1:14:02 Why venture capital isn’t actually global1:18:00 Final thoughts 1:19:41 About Info-Tech Research GroupConnect with Mehran:LinkedIn: https://www.linkedin.com/in/mehrangul?originalSubdomain=chX: https://x.com/mehrangul_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 | 1h 20m 30s | ||||||
| 9/7/26 | AI bubbleinvestment in AI+4 | Bill Reichert | Pegasus VenturesInfo-Tech Research Group | Silicon ValleyChina | AI bubbleinvestment+5 | — | 1h 15m 01s | ||
| 8/31/26 | AI-generated contentdeepfakes+4 | Hany Farid | Info-Tech Research GroupBig Tech | North Korea | deepfakesAI+6 | — | 1h 01m 25s | ||
| 8/24/26 | Google cultureemployee activism+4 | Claire Stapleton | GoogleInfo-Tech Research Group+1 | — | Googleemployee empowerment+6 | — | 1h 12m 43s | ||
| 8/17/26 | AI infrastructureinvestment economics+4 | Ankur Saxena | TDK VenturesNvidia+1 | — | AIdata centers+7 | — | 1h 05m 41s | ||
| 8/10/26 | AIhumanity+4 | Robin Hanson | Info-Tech Research GroupThe Age of Em | — | AIartificial intelligence+5 | — | 1h 43m 24s | ||
| 8/3/26 | AI in the workplaceautomation+4 | Sarah O'Connor | Financial TimesAmazon+1 | Swedish mineshospitals+2 | AIautomation+5 | — | 1h 12m 35s | ||
| 7/27/26 | AI implementationgovernment technology+3 | Janak Alford | Government of AlbertaInfo-Tech Research Group | — | AIgovernment+3 | — | 1h 17m 54s | ||
| 7/20/26 | AI in software developmentvibe coding+4 | Laurence Moroney | GoogleArm | — | vibe codingAI hype+5 | — | 1h 15m 46s | ||
| 7/13/26 | AI debategenerative AI+4 | Jeremy Roberts | Info-Tech Research GroupOpenAI+3 | Las Vegas | AIoverhyped+5 | — | 27m 38s | ||
| 7/6/26 | future of workartificial intelligence+4 | Alexander Manu | Info-Tech Research Group | — | AIwork+5 | — | 1h 12m 44s | ||
| 6/29/26 | AI adoptionfuture of work+4 | Dag Kittlaus | SiriApple+1 | — | artificial intelligencejob loss+6 | — | 1h 00m 27s | ||
| 6/22/26 | AI disruptioneducation reform+4 | Michael Clark | Info-Tech Research Group | — | AIeducation+7 | — | 1h 13m 19s | ||
| 6/15/26 | artificial intelligenceAI ethics+5 | Charlie TyrellTed Tremper | The AI DocInfo-Tech Research Group | — | AItechnology+7 | — | 1h 08m 30s | ||
| 6/8/26 | artificial intelligenceAGI+5 | Joscha Bach | Info-Tech Research Group | — | AIAGI+5 | — | 1h 29m 37s | ||
| 6/1/26 | AI in the workplacefuture of work+4 | Matthew Loys Duncan | MicrosoftInfo-Tech Research Group | — | AI agentsgenerative AI+4 | — | 1h 05m 15s | ||
| 5/25/26 | AI and capitalismcorporate corruption+4 | Eric Ries | CostcoFedMart+2 | — | AIcapitalism+5 | — | 1h 24m 00s | ||
| 5/18/26 | artificial intelligenceworkplace transformation+5 | Maurice Conti | AmazonNike+3 | — | AIAugmented Age+7 | — | 1h 19m 42s | ||
| 5/11/26 | AIautomation+4 | John Hagel | McKinseyBCG+1 | — | AIautomation+5 | — | 1h 08m 58s | ||
| 5/4/26 | AI skepticismeconomic impact of AI+4 | Carl Benedikt Frey | OxfordBig Tech+1 | — | AIeconomist+5 | — | 1h 03m 43s | ||
| 4/27/26 | AI futuresbusiness transformation+4 | Dan Diasio | EYFortune 50+1 | — | AIbusiness strategy+5 | — | 1h 04m 00s | ||
| 4/20/26 | AI impact on workorganizational transformation+4 | Ian Beacraft | Signal and CipherInfo-Tech Research Group | — | AIwork transformation+5 | — | 1h 03m 43s | ||
| 4/13/26 | AI ethicsdata privacy+4 | Dr. Rumman Chowdhury | TwitterAccenture+2 | — | artificial intelligencedata misuse+4 | — | 1h 14m 37s | ||
| 4/6/26 | AItechnology disruption+4 | Salim Ismail | Singularity UniversityExponential Organizations | Star Trekmad max | AIexponential technologies+5 | — | 1h 54m 03s | ||
| 3/30/26 | AI adoptionbusiness innovation+4 | Brian Solis | ServiceNowInfo-Tech Research Group | — | AI revolutionbusiness transformation+5 | — | 55m 49s | ||
| 3/23/26 | AI and leadershiphuman value in the age of AI+4 | Chip Conley | AirbnbModern Elder Academy+3 | — | AIleadership+7 | — | 1h 04m 26s | ||
| 3/16/26 | AI convergencecreative destruction+5 | Amy Webb | Future Today Strategy GroupInfo-Tech Research Group | — | AI bubbletechnological convergence+5 | — | 58m 12s | ||
| 3/9/26 | AI in software developmentengineering leadership+4 | Bala Muthiah | LyftDefy Ventures | — | AIsoftware engineers+5 | — | 1h 02m 05s | ||
| 3/2/26 | AI leadershipmodern leadership+4 | Deborah Liu | AncestryMeta+1 | — | AIleadership+5 | — | 1h 22m 27s | ||
| 2/23/26 | Large Language ModelsAI implementation+5 | Sebastian Raschka | Lightning AIInfo-Tech Research Group | — | AILarge Language Models+6 | — | 1h 14m 50s | ||
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Info-Tech Research Group is a leading research and advisory firm specializing in IT and technology insights for organizations seeking to navigate the complexities of digital transformation. Known for its data-driven approach, the group provides valuable resources and guidance to help businesses optimize their tech strategies. "Digital Disruption with Geoff Nielson" stands out by focusing on the intersection of technology and organizational evolution. The podcast features interviews with industry leaders and innovators, exploring how intelligent technologies are reshaping industries. Its format encourages in-depth discussions on adapting to digital challenges and leveraging emerging trends for future success. The podcast attracts a diverse audience, including technology professionals, business leaders, and decision-makers eager to stay ahead in a rapidly changing landscape. Listeners gain actionable insights and strategies to effectively navigate the ongoing digital revolution, making it a valuable resource for those looking to thrive in their respective fields.
By the numbers
- Total followers: 66K
- Total plays: 1.5M
- Total reviews: 60
Platforms
TuneIn
- Followers: 1
Castbox
- Followers: 89
- Plays: 1.1K
YouTube
- Subscribers: 66K
- Views: 1.5M
- Videos: 1.1K
Podcast App
- Followers: 60
- Reviews: 60
Podcast Republic
- Followers: 35
Audience
professionals
Key insights
What the show covers
- interviews with industry leaders
- leveraging intelligent technologies
- adapting to digital disruption
- harnessing technology for future
Audience interests
- digital transformation strategies
- technology trends and insights
- industrial revolution impacts
- innovation in organizations
Platform reach
- specific platforms not detected
- no follower count available
- limited distribution information
- potential for wider audience
Publishing consistency
- 59 episodes produced
- active for 1 year
- weekly episode release
- consistent content delivery
Chart history for Digital Disruption with Geoff Nielson
Peaked at #20 in United States, currently #20 in United States.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| United States | — | #20 | #20 | — |
| Canada | — | #29 | #29 | — |
| KE | — | #70 | #70 | — |
Chart Positions
3 placements across 3 markets.
Chart Positions
3 placements across 3 markets.