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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Données mises à jour le 20/10/2026
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AI Is Breaking the Economics of Work. No One Is Ready
lundi 19 octobre 2026 • Durée 55:37
If AI can free up half a company’s labor capacity, what happens to the people doing the work?
Ravin Jesuthasan describes AI transformations that have freed up 40–50% of labor capacity. Is your organization ready for what that means for its workforce?
The futurist and bestselling author explains how AI is reshaping the future of work and why its productivity gains don’t have to translate into layoffs.
Ravin joins Geoff on this episode of Digital Disruption to discuss generative AI, AI agents, and the impact of automation on jobs. He explains why entry-level roles are under pressure, how traditional career paths are changing, and why judgment, empathy, and curiosity are becoming increasingly valuable.
Drawing on examples from Standard Chartered and Unilever, he explores how organizations can prepare employees for new opportunities through upskilling and reskilling. He breaks down what it means to build a skills-powered organization where learning becomes part of everyday work.
Ravin also shares how leaders can reinvest AI productivity gains in employee wellbeing, better customer experiences, and continued innovation.
Follow for more conversations about AI, technology, innovation, and digital transformation.
In this episode:
00:00 Intro
00:40 AI frees up half the work. what happens next?
01:12 How AI is reshaping the future of work
03:30 How AI changes the cost of work and access to talent
06:23 Will AI replace all human work?
09:40 Is the fear of becoming obsolete justified?
12:12 McLean & Company’s human-centric AI program
12:52 AI and the erosion of the entry-level career ladder
17:32 What does “work ready” mean in the age of AI?
19:51 Why human judgment is becoming an essential skill
20:58 How to build a skills-powered organization
23:20 Making learning part of everyday work
24:38 Reskilling employees for new career opportunities
26:23 Turning workforce transformation into action
29:56 Setting a vision and proving ROI with focused pilots
32:15 Who should own workforce transformation?
33:35 Involving employees and preparing them for what comes next
35:12 Unilever’s approach to reskilling and career transitions
36:43 Why digital transformations fail
39:17 Moving from one-time transformation to continuous reinvention
41:16 Making space for learning and employee wellbeing
42:34 How to reinvest AI’s productivity gains
45:44 Why IT, HR, and business leaders need to work together
48:15 Why adding AI isn’t enough to transform work
51:12 The value of outside perspectives in AI transformation
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
Is AI Already Conscious? Google’s Blaise Agüera y Arcas Explains
lundi 12 octobre 2026 • Durée 01:31:36
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 Intro
02:12 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-awareness
The Other AI Revolution: Why Predictive AI will Overtake Generative AI in 2027
lundi 5 octobre 2026 • Durée 01:11:39
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 AI
00:47 Predictive AI vs. generative AI
03:01 How large language models fit into predictive AI
06:59 What kind of AI is solving real-world problems?
08:06 The two “wows” of AI: Impressive demos vs. deployment
09:28 Build your AI strategy with Info-Tech
10:37 Why predictive AI is still delivering business value
12:32 Why most AI pilots fail to reach production
16:25 AI hype and mismanaged expectations
AI Humanoid Robots Have Already Entered the Workforce. Should You Care?
lundi 28 septembre 2026 • Durée 01:00:19
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 essential
00:47 Peggy Johnson, CEO of Agility Robotics
01:41 Are humanoid robots creating a dystopian future?
03:43 How workers respond to robots in the workplace
05:42 Why build robots in the human form?
07:27 Will humanoid robots replace human jobs?
11:45 Why reshoring manufacturing will require robotics
14:12 Info-Tech AI strategy
14:42 What humanoid robots could do by 2032
17:35 The biggest barrier to adoption: Robot safety
19:17 Why robots in the home are still years away
22:13 How big and powerful is agility robotics’ Digit?
24:44 Can humanoid robot accidents be prevented?
AI Researchers Are Panicking | What Comes Next is Worse Than Nuclear Bombs
lundi 21 septembre 2026 • Durée 59:17
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 extinction
00:43 Inside the race to build AGI
01:24 What does AGI actually mean?
05:16 AI safety warnings or marketing hype?
07:27 The rivalries driving the AI race
08:44 Building a boardroom-ready AI strategy
09:51 The personal feuds behind AGI
10:58 AI’s Manhattan Project mindset
12:27 Is AI the new atomic bomb?
14:58 Can advanced AI be contained?
16:28 AI regulation and the global arms race
There Is No AI Race. Inside the Trillion-Dollar Lie
lundi 14 septembre 2026 • Durée 01:20:30
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 lead
01:47 The new geography of innovation
05:30 How China became a technology superpower
09:13 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?
The AI Bubble Isn't the Dot-Com Bubble. It's Worse
lundi 7 septembre 2026 • Durée 01:15:01
Are we in an AI bubble? Veteran Silicon Valley investor Bill Reichert says yes, but that doesn’t mean the AI revolution is slowing down.
In this episode we sit down with Bill Reichert, General Partner at Pegasus Ventures, to discuss the unprecedented investment pouring into AI, why many AI startups will fail, and where the next wave of innovation could emerge. This conversation highlights everything from data centers and quantum computing to China’s growing technology ecosystem and what businesses need to do to innovate and compete.
Bill also shares his “Yellow Jacket Paradox,” raising a bigger question about the future of AI: If biological intelligence can accomplish so much with so little energy, could a fundamentally new AI architecture eventually disrupt today’s LLMs, data centers, and AI leaders?
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 is here
01:02 Why this tech cycle is different
03:30 Is AI growth sustainable?
04:18 Why most AI startups will fail
06:11 What separates AI winners from the hype
09:08 The “unfair advantage” in AI
10:59 Where is the next big AI opportunity?
13:16 Investing beyond generative AI
18:13 Why AI is becoming a commodity
19:05 The data center and energy opportunity
20:17 How AI is transforming every industry
22:23 Is AI changing venture capital?
AI Has Made Everything Worse | Hany Farid on the Internet's Truth Problem
lundi 31 août 2026 • Durée 01:01:25
Hany Farid, one of the world’s leading experts on deepfakes and digital forensics, joins us to explain why AI-generated content is pushing us toward a world where we can no longer trust what we see, hear, or even who we’re talking to online.
From AI-generated misinformation and social media manipulation to voice cloning, deepfake video calls, and North Korean IT workers infiltrating major companies, Hany breaks down how rapidly the threat landscape is evolving. He explains why humans are not good at detecting deepfakes, how digital forensics experts actually identify manipulated media, and why organizations need to rethink cybersecurity, remote hiring, and digital identity.
This episode also dives into Big Tech’s role in the crisis, whether regulation and liability can make technology safer, the growing influence of large language models on how we access information, and what it will take to rebuild trust online.
Despite the risks, Hany remains optimistic about AI’s potential. The challenge, he argues, is learning from the mistakes of the social media era and finding a way to harness AI’s power without sacrificing safety, security, and trust.
Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, and digital transformation.
In this video:
00:00 North Korean IT workers are already inside companies
00:41 Welcome to a “trust no one” digital world
01:49 How much of the internet is already fake?
04:59 Are we heading toward the dead internet?
07:06 What happens when we can’t agree on facts?
08:20 The existential threat of a post-truth world
09:49 Could AI control the information we see?
11:33 Who is manipulating us online?
13:20 How AI is supercharging scams and fraud
How Google Lost Its Way | Former Google Insider Claire Stapleton
lundi 24 août 2026 • Durée 01:12:43
Claire Stapleton spent 12 years at Google, going from one of the company's biggest believers to one of its most prominent employee organizers. In this episode, former Google communications leader, Google Walkout organizer, and Don’t Be Evil author Claire Stapleton reveals what happened inside Google as its celebrated culture of openness, employee empowerment, and idealism began to change.
She takes us inside Google’s transformation from a company that believed people were at the heart of its success to a Big Tech giant grappling with bureaucracy, employee distrust, workplace activism, and questions about its values. She explains what led thousands of Google employees to walk out in protest, what happened after employees challenged leadership, and why speaking up inside powerful organizations can come with serious consequences.
We also talk about AI and the future of work, tech layoffs, corporate culture, employee activism, leadership, workplace ethics, the changing relationship between employers and employees, and why the sweeping promises coming from today’s AI companies remind Stapleton of Google’s early years. As companies once again compete for elite technology talent while promising to change the world, could Silicon Valley be repeating the same cycle?
Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, leadership, and digital transformation.
In this video:
00:00 Intro
00:10 How Google’s culture changed
01:33 Claire Stapleton’s 12 years at Google
06:14 Inside Google’s early “change the world” culture
10:50 Shift in language
11:28 What happened to Google?
18:42 The events that led to the Google Walkout
The AI Gold Rush Is Out of Gold | Here's Where VCs Are Still Investing
lundi 17 août 2026 • Durée 01:05:41
Data center economics are coming under increasing scrutiny. Learn why power constraints could signal a major market correction and why the future of artificial intelligence may depend less on software and more on power grids, data centers, semiconductor chips, and the physical infrastructure powering AI.
In this episode, TDK Ventures Investment Director Ankur Saxena joins Geoff Nielson to talk about the economics driving today's AI race. From Nvidia GPUs and hyperscaler spending to semiconductor shortages, AI infrastructure, robotics, edge AI, and quantum computing, Ankur explains why the biggest challenges facing AI aren't just technical, they're economic, physical, and increasingly difficult to ignore. This conversation examines whether today's AI investment boom is sustainable, what could trigger the next wave of market corrections, and where the greatest opportunities lie for investors, startups, and technology leaders.
If you're wondering where AI is really headed and what it means for business leaders, investors, CIOs, and the future of technology, this episode is for you.
In this episode:
00:00 Intro
00:20 AI's biggest problem isn't software, it's infrastructure
01:37 Ankur Saxena on the future of AI & why he's optimistic
03:20 Is the AI investment boom becoming a bubble?
07:40 AI prototyping for enterprise leaders
08:50 The AI Gold Rush: Are investors chasing hype?
10:17 Why AI infrastructure economics matter more than ever
12:09 The hidden bottleneck: Power, data centers & AI growth
15:45 AI data centers explained
19:53 Supply, demand & what happens when AI gets expensive
21:03 Why AI demand isn't slowing down anytime soon
11:48 Could AI have a subjective experience?
17:49 What split-brain experiments reveal about consciousness
20:49 Building your AI strategy with Infotech
21:56 The Self: One mind or many parts?
23:38 How LLMs differ from human minds
28:19 Octopus intelligence, AI agent swarms, and identity
32:52 Why Human Intelligence Is Collective
38:19 Why Blaise believes AGI is already here
43:59 Multi-agent AI and the next frontier of intelligence
47:25 Recursive self-improvement and the singularity
50:41 AI coding agents and the risks of faster automation
54:18 AI Alignment: whose values should AI follow?
58:20 Will smarter AI dominate humanity?
1:01:42 Mass surveillance, power, and human disempowerment
1:04:09 AI breakthroughs in medicine, robotics, and space
1:08:12 Why are we so pessimistic about the future?
1:11:29 Why AI doom gets more clicks
1:13:16 Taking AI researchers’ fears seriously
1:16:42 Nostalgia and the accelerating pace of change
1:21:08 Is our economy ready for AI?
1:24:07 AI, job loss, and the fear of losing income
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
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