Explore every episode of the podcast Digital Disruption with Geoff Nielson

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

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

1:26:36 What should leaders and society do next?

1:29:23 AI, climate change, and clean energy

1:31:06 Moving AI computing into space

1:31:42 Final thoughts

1:32:06 About Infotech

Connect with Blaise:

LinkedIn: https://www.linkedin.com/in/blaise-ag%C3%BCera-y-arcas-85626a42/

X: https://x.com/blaiseaguera

IG: https://www.instagram.com/blaiseaguera

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

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

19:31 AI agents, AGI, and the promise of autonomy

20:44 Can predictive AI make generative AI more reliable?

23:57 Why full AI autonomy remains unrealistic

26:59 Large language models vs. human intelligence

29:21 The limits and diminishing returns of AI models

31:35 What businesses are getting wrong about AI

35:35 Bridging the gap between technology and business leaders

37:18 Why leaders need a semi-technical understanding of AI

38:59 Three questions every predictive AI project must answer

42:22 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 AI

1:01:43 Eric Siegel’s six-step AI deployment framework

1:04:42 Why AI is a business improvement project, not a tech install

1:06:02 What’s new in The AI Playbook

1:09:30 Eric’s advice for business and technology leaders

1:10:46 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=podcast

Follow us on YouTube: https://www.youtube.com/@InfoTechRG

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?

28:29 Competing with Elon Musk and Tesla Optimus

30:56 What separates deployment from a robotics demo

33:37 How companies deploy humanoid robots

37:01 Which industries are adopting robotics?

39:24 Scaling production to meet demand

41:08 How AI is accelerating humanoid robotics

45:36 How digit makes decisions on the factory floor

48:52 Hardware and software upgrades for robots

50:57 What comes after agility robotics’ Digit?

53:22 Will robots eventually do everything humans can?

55:58 The future of physical AI and automation

58:13 Peggy Johnson’s advice for business and tech leaders

59:32 About Info-Tech

Connect with Peggy:

LinkedIn: https://www.linkedin.com/in/peggyljohnson/

X: https://x.com/agilityrobotics

IG: https://www.instagram.com/agility_robotics/

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

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

17:35 What is P(doom)?

19:54 What will force governments to act?

21:29 What AI researchers say in private

23:08 Why the public backlash is growing

26:15 Why Kevin Roose changed his mind about AI

29:42 Is advanced AI inevitable?

32:28 AGI and the point of no return

34:38 The race to automate AI research

36:23 AI and gradual human disempowerment

40:10 What happens when AI masters your skills?

42:18 Will AI liberate us or replace us?

44:18 The AI claims Kevin does not believe

46:21 Is the AI boom a financial bubble?

50:20 AI labs and economic concentration

55:08 Inside the AGI chronicles

57:07 How should people prepare for AI?

58:29 About Info-Tech

#ai #futureofwork #technologypodcast #aibubble #bigtech #artificialintelligence #technology #datacenter #agi #anthropic #futureofai

Connect with Kevin:

LinkedIn: https://www.linkedin.com/in/kevin-roose/

X: https://x.com/kevinroose

IG: https://www.instagram.com/kevinroose/

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

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?

25:01 Will the U.S. and China dominate the next decade?

29:31 Why Europe’s push for tech sovereignty is struggling

33:05 Can government policy actually create innovation?

37:24 PayPal vs. Skype: How innovation creates more innovation

39:47 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 sovereignty

47:00 What This global tech race means for business leaders

48:32 Why AI investment is becoming more concentrated

51:29 Are we betting too much on a few tech leaders?

53:35 What Japan’s collapse can teach us about U.S. tech

56:13 Could the AI bubble actually burst?

59:22 Could China overtake the U.S. in Technology?

1:03:29 When government helps and hurts innovation

1:05:51 Predictions for the next era of global technology

1:07:50 Do We need to redefine innovation?

1:10:02 Where business leaders should look for innovation

1:14:02 Why venture capital isn’t actually global

1:18:00 Final thoughts

1:19:41 About Info-Tech Research Group

Connect with Mehran:

LinkedIn: https://www.linkedin.com/in/mehrangul?originalSubdomain=ch

X: https://x.com/mehrangul_

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

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?

26:13 Does more investment create better technology?

29:01 China, the US, and the global innovation race

34:28 The race for quantum computing

36:51 Is China really just copying the west?

40:06 Why big companies struggle to innovate

45:54 Startups as corporate innovation labs

47:29 How to spot an overhyped tech vendor

49:13 Why companies need to test before they invest

51:04 Why innovation pilots fail

52:49 Escaping “pilot hell”

54:54 Will the pace of innovation ever slow down?

57:30 How AI changes the future of work

59:48 Does AI mean we’ll have to work harder?

01:03:06 The leadership mistake that causes burnout

01:06:08 Control vs. unlimited growth

01:07:12 The “Yellow Jacket Paradox”

01:09:29 Why today’s AI architecture may be wrong

01:11:13 Will today’s data centers become obsolete?

01:13:38 The price of innovation

01:14:08 Closing thoughts

Connect with Bill:

LinkedIn: https://www.linkedin.com/in/billreichert/

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

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

15:41 Why you can’t reliably detect a Deepfake

17:28 Should Big Tech be held liable?

19:37 Hany’s Advice: Get social media off your phone

21:26 Can liability force Big Tech to change?

24:25 Should kids be banned from social media?

25:37 The real problem with social media’s business model

28:08 Will Big Tech control the future of AI?

31:20 “China will beat us” and the case against AI regulation

33:31 How experts actually detect deepfakes

36:16 How real-time face swap deepfakes work

39:39 The Deepfake threat facing businesses

40:25 AI fraud is already costing companies millions

41:47 How fake workers get hired

42:49 Why voice biometrics are no longer secure

#ai #futureofwork #technologypodcast #cybersecurity #deepfakes #digitaltrust #bigtech #aivoice #digitaltransformation #futureofjobs #futureofai #tedtalk

Connect with Hany:

LinkedIn: https://www.linkedin.com/in/hany-farid-40a97935/

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

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

25:31 Organizing the historic Google Walkout

28:59 How Google responded to employee activism

35:16 Would Claire organize the Walkout again?

39:19 The danger of tying your identity to your employer

44:29 What should you do when your employer violates your values?

50:35 Did Silicon Valley lose its people-first culture?

51:38 Are today’s AI companies repeating Google’s mistakes?

55:03 Why being people-first is good for business

56:05 What Google’s leadership got wrong

01:00:09 Why women led the resistance inside Google

01:01:48 The role of men and allies in workplace activism

01:05:58 Why women take on more unpaid work

01:08:19 How leaders can build a better workplace culture

01:11:23 Closing thoughts

#futurofwork #google #workplaceculture #leadership #bigtech #aiandjobs #siliconvalley #techleadership #techlayoffs #techpodcast

Connect with Claire:

LinkedIn: https://www.linkedin.com/in/claire-stapleton-868a935

X: https://x.com/clairewaves

Facebook: https://www.instagram.com/clairewaves/

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

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

26:33 Should every enterprise care about AI infrastructure?

27:15 Why most companies aren't ready for AI compute

32:08 The next billion-dollar opportunity: AI infrastructure orchestration

34:22 Where smart investors are looking beyond AI applications

37:35 Edge AI explained: Why AI is moving onto devices

40:43 Why AI chips need hardware & software co-design

44:18 The race to build the operating system for Edge AI

48:33 Self-driving cars, robots & the future of physical AI

52:08 Quantum computing: Beyond the hype

55:25 Quantum computing investment opportunities & "picks and shovels"

58:44 Practical AI advice for CIOs, business leaders & enterprises

1:02:02 Will AI replace humans? The future of human-AI collaboration

1:04:42 Final thoughts

Connect with Ankur:

LinkedIn: https://www.linkedin.com/in/saxenaankur/

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

Robin Hanson believes the future of AI is far stranger than most people imagine.

In this episode, economist, futurist, and The Age of Em author Robin Hanson explains one of the biggest questions humanity has faced: What happens after humans?

Instead of viewing AI as humanity's greatest threat, Hanson argues we should think of AI as our descendants. The conversation looks at why AI replacing humans may be part of civilization's natural evolution, why capitalism and competition aren't disappearing, and how cultural evolution, not technology, may be humanity's biggest existential challenge.

We also examine the Great Filter, the future of work, AI regulation, software engineering, technological progress, fertility decline, civilization collapse, AI governance, and why Robin believes our greatest risk isn't AI taking over, but humanity losing its ability to evolve culturally.

If you're interested in the future of AI, artificial intelligence, AGI, economics, civilization, technology, and what comes after humanity, this conversation will challenge many of your assumptions.

Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, and digital transformation.

In this episode:

00:00 Intro

01:00 AI will eventually replace humanity

01:36 Robin Hanson’s background

02:20 The future of civilization

03:22 The Age of Em explained

06:03 Why brain emulation changes everything

07:24 Capitalism isn't going away

11:18 Is humanity actually progressing?

13:10 The Great Filter explained

18:17 Why AI isn't the Great Filter

22:02 AI, technological acceleration & the next 20 years

24:24 Will AI leave people behind?

29:04 How to survive technological disruption

33:08 Why AI is humanity's descendants

40:23 Cultural evolution is breaking

47:12 Why civilization is becoming maladaptive

55:06 Is modern society quietly declining?

01:00:45 Can AI solve civilization's biggest problem?

01:07:01 AI risk vs AI progress

01:12:00 Should AI be regulated?

01:17:03 The US, China & the AI race

01:22:26 AI's economic impact

01:25:19 Advice for business leaders

01:30:45 AI's biggest opportunity for humanity

01:38:48 What gives Robin Hanson hope

01:42:24 Final thoughts

Connect with Robin:

X: https://x.com/robinhanson

Facebook: https://www.facebook.com/robin.hanson.754/

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

Is AI actually making work better? Discover why many employees are feeling more constrained by machines instead of being empowered by them.

In this episode, Financial Times journalist and author Sarah O'Connor joins Geoff Nielson to talk about the reality of AI in the workplace, challenging the common belief that automation will free us from repetitive work. Drawing from her new book, “We Are Not Machines,” and months of reporting inside Amazon warehouses, Swedish mines, hospitals, translation agencies, and software teams, Sarah explains how AI isn't just eliminating jobs, it is reshaping them in ways that can either empower people or reduce them to "human robots."

The conversation breaks down why the promise of AI creating more time for creative, meaningful work hasn't become reality for many employees. Instead, many workers feel like they're being managed by software, algorithms, and increasingly automated systems.

If you're wondering how AI will transform your career, your organization, or the future of work, this episode is for you.

In this episode:

00:00 Intro

01:17 The surprising truth about AI and work

02:31 Why AI predictions are missing the real story

06:10 What Sarah discovered on the front lines of automation

07:54 Inside Amazon's robot-powered warehouses

13:25 How AI transformed professional translators

18:07 About Info-Tech Research Group

19:06 Is AI making work less human?

19:56 Why software developers are thriving with AI

23:46 The Swedish mine where automation actually works

31:10 Who should decide how AI changes work?

34:23 AI surveillance, trust, and workplace governance

37:56 Why companies shouldn't blindly adopt AI

39:06 Healthcare, nursing, and the cost of over-optimization

46:30 Can healthcare become human again?

49:56 Productivity, burnout, and becoming like machines

53:18 Have we lost faith in ourselves?

59:26 AI hype, fear of missing out, and smarter adoption

01:03:45 What gives Sarah hope about the future of work?

01:08:07 Advice for business and technology leaders

01:11:00 Final thoughts

01:11:47 Closing

Connect with Sarah:

LinkedIn: https://www.linkedin.com/in/sarah-o-connor-86067a31/

X: https://x.com/sarahoconnor_

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

Government AI projects are often criticized for moving slowly, but Alberta is proving otherwise.

In this episode, we sit down with Janak Alford, Deputy Minister of Technology and Innovation for the Government of Alberta, to understand how Alberta is using AI to save $2 million every week while accelerating digital service delivery, improving compliance, and raising software quality standards.

Janak shares why governments and enterprises should stop waiting for the "perfect" AI solution and start building internal AI capabilities. From AI factories and builder culture to open-source tools, sovereign AI, cybersecurity, and AI-powered software development, this conversation offers a practical blueprint for organizations looking to modernize with AI and deliver measurable results.

If you're tired of AI hype and want to see what real implementation looks like, don't miss this one.

Follow and like this video for weekly conversations on AI, technology, digital transformation, and the future of work and technology.

In this episode:

00:00 Intro

01:08 Alberta's mission to transform government with AI

04:28 Why every government faces the same AI challenge

07:53 About Info-Tech

08:33 The vision for AI-driven government

10:33 AI Academy: Training 30,000 public servants

12:12 Building thousands of AI applications

15:25 The future of AI agents in government services

17:03 Beyond AI tools: Building an AI strategy

18:07 AI factories, compliance & software development

23:53 Overcoming bureaucracy with builder culture

30:35 Saving $2 million every week with AI

32:19 The velocity papers explained

37:02 AI factory, AI garage & government modernization

42:25 Open-Source AI tools changing government

48:18 Where organizations should start with AI

54:34 The biggest AI myths leaders believe

55:16 Why Copilot isn't your AI strategy

57:44 Why subject matter experts drive AI success

01:02:19 Making AI safe without slowing innovation

01:08:28 Sovereign AI and Canada's AI future

01:15:08 Building Canada's AI ecosystem

01:16:20 Final thoughts

Connect with Janak:

LinkedIn: https://www.linkedin.com/in/janak-alford/

X: https://x.com/JanakAlford

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

Is vibe coding the future of software development? Or is it just another AI buzzword?

In this episode, Geoff Nielson sits down with Laurence Moroney, former Head of AI Advocacy at Google and now Director of AI at Arm, to separate AI hype from reality and discuss what software development actually looks like in the age of generative AI.

This conversation takes a look at the future of coding, the rise of AI-generated code, and why claims that software developers are becoming obsolete miss the bigger picture. From vibe coding and enterprise AI to agentic AI and the evolving role of engineers, this Laurence and Geoff look at how AI is reshaping software development, and why the best developers will become even more valuable by moving up the value chain.

Subscribe for weekly conversations on the future of technology, artificial intelligence, and innovation. Comment below: Do you think vibe coding has a place in your professional workflow?

In this episode:

00:00 Intro

01:16 Has the AI bubble burst?

04:44 AI hype vs. real business value

09:21 Why AI should become invisible

12:30 The biggest AI myths leaders still believe

16:15 Will AI replace software developers?

19:28 Why developers are moving up the value chain

20:54 The rise of "ephemeral" software

26:34 Enterprise use cases for disposable code

29:02 Is vibe coding ready for the enterprise?

32:10 Small AI models vs. large language models

35:46 Fine-tuning AI for enterprise success

38:17 Why companies still need engineers

41:57 The future role of developers, CIOs & CTOs

45:09 How developers can future-proof their careers

47:09 Should students still study computer science?

49:09 Does AI create 100x developers?

51:20 What is Agentic AI?

57:06 Building enterprise AI the right way

1:02:11 AI hardware and Arm's vision

1:05:18 Advice for technology leaders

1:07:05 The future of Sovereign AI

1:14:30 Final thoughts

Connect with Laurence:

LinkedIn: https://www.linkedin.com/in/laurence-moroney/

X: https://x.com/lmoroney

Facebook: https://www.facebook.com/laurence.moroney

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

This is THE AI debate you've been waiting for.

Will AI become as transformational as the internet, or will history remember it more like blockchain and the metaverse?

In this episode of Digital Disruption, Info-Tech's Geoff Nielson and Jeremy Roberts go head-to-head over one of the biggest technology questions of our time: Is AI overhyped?

The debate looks at whether generative AI is delivering measurable business value or whether the excitement surrounding OpenAI, Microsoft Copilot, Google, Nvidia, and today's AI investments has outpaced reality. From enterprise productivity and healthcare innovation to AI adoption, venture capital, cloud computing, autonomous vehicles, and the future of work, both sides present compelling evidence at the Info-Tech LIVE Conference in Las Vegas.

You'll hear why the profitability of today's AI industry is being questioned, how massive capital investments are shaping the race among AI leaders, and what these financial realities could mean for the future of artificial intelligence. Whether you're an IT leader, business executive, or AI enthusiast, this debate offers practical insights into where AI is delivering real value, and where expectations may be running ahead of reality.

Which side of the debate are you on?

Like and follow for weekly episodes.

In this episode:

00:00 Is AI Overhyped?

00:52 The case against AI being overhyped

03:31 How AI is already transforming business

04:18 AI's impact on healthcare, science & society

05:20 AI is overhyped

06:40 Why many people still don't like AI

07:18 Is the AI business model sustainable?

08:45 Does AI actually save time?

09:23 AI and the future of jobs

10:17 The human cost of AI

12:04 AI adoption vs. AI skepticism

13:52 Is AI following the same path as cloud computing?

15:05 Are AI companies creating another tech bubble?

16:50 Technology vs. company valuations

18:02 AI search, Google & the future of the internet

19:31 Is AI becoming the next Blockchain?

20:24 Is AI's transformation inevitable?

21:29 Healthcare, Watson & enterprise AI

23:34 Microsoft Copilot, enterprise adoption & ROI

24:18 The future of AI in business

25:12 Audience votes on winner

26:04 Final thoughts on if AI really is overhyped.

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

Stop fearing the future of work. Learn why our current infrastructure is failing and how to adapt your mindset for the age of artificial intelligence and technology.

AI isn't taking your job; it's forcing humanity to rethink what work, identity, and purpose actually mean.

In this conversation, Geoff Nielson sits down with innovation strategist, futurist, and author Alexander Manu to discuss why so many professionals fear a loss of income. The core issue, he argues, is not technology itself but our tendency to apply old systems to new realities. Instead of viewing artificial intelligence as a threat, Alexander explains that AI represents the next stage of human evolution, one where technology frees us from repetitive work and allows us to focus on creativity, learning, and what makes us uniquely human.

The conversation also explores disruption, digital transformation, Maslow's concept of self-transcendence, the future of work, education, leadership, and what it truly means to live in an AI-first world.

Whether you're a CIO, technology leader, business executive, innovator, or simply curious about where artificial intelligence is taking society, this episode offers one of the most optimistic, and challenging, perspectives you'll hear on the future of AI.

Like and follow for weekly episodes.

In this episode:

00:00 Intro

00:46 Why everyone is afraid of AI

01:01 Why Alexander isn't afraid of artificial intelligence

03:02 AI, work & the future of human purpose

05:24 Will AI make society happier?

06:32 Why AI is different from every technology before it

08:07 AI as a creative partner instead of a tool

10:17 The real fear behind AI: Money & identity

12:48 How do we reach an AI future?

14:03 Why we need to redesign everything from scratch

16:12 AI, identity & Maslow's self-transcendence

19:07 Using AI to unlock human creativity

20:33 Lessons from building one of the first portable computers

22:34 Technology, identity & human evolution

24:24 How every technology becomes normal

27:07 AI learns you as you learn it

28:57 Why technology exists to eliminate friction

30:19 Why society needs to embrace AI earlier

31:44 Understanding the disruption continuum

34:10 Why disruption never ends

39:45 Are we living through an AI bridge moment?

42:06 Why most companies get AI completely wrong

46:31 Stop fitting AI into old systems

51:30 The biggest AI lessons for business leaders

53:12 The question every organization should ask

56:09 Leadership, AI & the future of organizations

59:18 Why AI is not optional

1:00:52 AI's true promise isn't speed

1:05:36 AI, contemplation & finding meaning

1:06:36 Social media, creativity & human attention

1:11:48 Final thoughts

Connect with Alexander:

LinkedIn: https://www.linkedin.com/in/alexander-manu-458b7b3/

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

AI is moving faster than most organizations can keep up with, but according to Siri co-creator Dag Kittlaus , the biggest challenge isn't the technology itself. It's adoption.

In this episode, Dag shares his insights on how artificial intelligence will reshape your career, your business, and the future of work.

Drawing on his experience building Siri and investing in the next generation of AI startups, Dag explains why widespread AI-driven job loss is unlikely in the near term and how business leaders can successfully integrate AI into their organizations. He explores the important differences between AI capability and AI diffusion, arguing that this distinction will shape the next decade of innovation, productivity, and economic growth.

The conversation covers AI productivity gains, enterprise AI adoption, AI-first startups, Apple's AI future, personalized virtual assistants, healthcare innovation, data centers, AI infrastructure, and the emerging opportunities that business and technology leaders can't afford to ignore.

Whether you're a CIO, business leader, entrepreneur, or technology professional, this episode offers practical insights into how artificial intelligence is transforming industries and why understanding AI today may be one of the most important investments you can make in your future.

Like and follow for weekly episodes.

In this episode:

00:00 Intro

00:53 Co-creator of Siri

01:15 AI's promise vs. AI's peril

02:28 Capability vs. diffusion: The real AI challenge

03:15 Why AI still can't replace entire jobs

04:31 Will AI cause massive white-collar job loss?

07:14 Why laying off employees for AI is a mistake

08:14 How businesses should actually adopt AI

10:30 How Dag personally uses AI today

12:41 AI investment trends and opportunities

13:27 What's next for AI infrastructure and data centers?

15:27 Hidden AI opportunities most investors miss

16:41 Winners and losers in the AI economy

17:56 How leaders should prepare their organizations

21:32 AI-first startups vs. large enterprises

23:11 Should established companies fear AI-native competitors?

24:00 Ignore AI and you're in trouble

25:21 The 10-year AI adoption timeline

26:22 Is AI ready or does it need more breakthroughs?

28:00 The original vision for Siri

29:30 AI agents, APIs, and autonomous assistants

31:32 Why apple lost ground in AI

34:53 Dag's vision for the future of Siri

35:29 The 'Conductor Thesis' for personal AI

38:30 Why personalization Is AI's missing link

39:07 Consumer backlash against AI

40:20 Why AI job loss fears are overblown

41:15 AI, productivity growth, and the four-day workweek

43:51 How to change public perception of AI

47:05 Convincing employees to embrace AI

47:50 Why incentives matter more than mandates

50:05 Practical advice for business leaders

53:03 The biggest AI trend nobody understands

53:38 How AI will transform healthcare

56:11 AI regulation and innovation challenges

58:23 Why Dag is optimistic about AI's future

59:15 Final thoughts

#ai #futureofwork #leadership #siri #apple #futureofai #technologypodcast #digitaltransformation #innovation #entrepreneurship #futureofjobs #stevejobs #dagkittlaus

Connect with Dag:

LinkedIn: https://www.linkedin.com/in/dagkittlaus/

X: https://x.com/dagk

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

What if AI isn't the biggest disruption we're facing? What if the real problem is that we're trying to force 24th-century technology into an economy designed for another era?

In this episode, AI and transformation leader, Michael Clark explains why AI is exposing fundamental flaws in education, business, leadership, and the global economy, and what we need to do next.

Michael argues that we're trying to fit next-generation AI into systems designed for the industrial age. The conversation explores how organizations can move beyond automation and embrace collaborative intelligence, where humans and AI work together to create value. They discuss the future of work, data as an asset, workforce transformation, AI adoption, leadership in the intelligence economy, and why critical thinking, judgment, and adaptability will become the most valuable skills in the AI era.

Like and follow for weekly episodes.

In this episode:

00:00 Intro

01:23 Two possible futures for 2030

04:05 Why education must be rebuilt for the AI era

07:12 Teaching critical thinking, data literacy & adaptability

10:40 How work changes in the age of AI

13:22 Why people should be treated as assets, not costs

16:16 The economic model that no longer works

20:24 Rethinking value, GDP, and the future economy

24:23 Can we actually value people and data?

27:29 Why governments need an AI consortium

28:54 AI, data ownership & wealth distribution

33:05 Should AI and cloud computing be treated as utilities?

35:45 Why most organizations mismanage data

37:05 Treating data as a business asset

42:53 Why AI can't fix bad data

47:27 What data-mature organizations do differently

48:05 Schneider electric's data monetization strategy

50:24 John Deere's AI and data advantage

51:21 The ethics of data monetization

55:28 Workforce transformation and leadership in the AI era

58:29 Why leaders struggle with long-term thinking

01:00:00 Leadership, risk, and better decision making

01:03:48 Rethinking leadership for the Intelligence Economy

01:06:19 Human wisdom vs machine knowledge

01:09:23 Final advice for leaders adopting AI

01:12:14 Final thoughts

Connect with Michael:

LinkedIn: https://www.linkedin.com/in/mclarkglobal/

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

Artificial intelligence is reshaping work, creativity, business, and society faster than ever before, but how worried should we really be?

In this episode, we sit down with The AI Doc producers Charlie Tyrell and Ted Tremper to discuss the biggest lessons they learned after spending years investigating AI and interviewing leading experts, including Sam Altman, Dario Amodei, Karen Hao, and many of the influential voices shaping the future of artificial intelligence.

The conversation goes far beyond the typical AI debate, exploring AI ethics, generative AI, creative industries, wealth inequality, AI regulation, AGI, automation, AI governance, and the growing question of whether artificial intelligence is an inevitable force—or a technology that society can still shape. Charlie and Ted discuss the risks of concentrated power, the impact of AI on artists and filmmakers, ethical AI development, transparency, consent, and what individuals can do to influence the future of technology.

AI is changing everything. The way we work, the way we create, the way we build businesses, and potentially the future of society itself. But beneath the headlines, hype, and fear, what’s actually true?

If you're interested in artificial intelligence, technology, leadership, innovation, creativity, or the future of humanity, this is a conversation you won't want to miss.

Like and follow for weekly episodes.

In this episode:

00:00 Intro

01:25 Why Charlie Tyrell & Ted Tremper made the film

02:20 The origins of The AI Doc

04:45 AI anxiety, parenthood & the future

06:57 Wealth inequality and AI concentration

08:17 Reasons for hope and concern

11:01 How individuals can shape AI's future

11:49 Why education creates agency

13:02 AI's impact on artists and creators

15:12 Did The AI Doc use AI?

16:56 Human creativity vs AI-generated content

18:14 The filmmaking industry's AI debate

19:20 Generative AI and storytelling

21:23 Audience demand and the future of human-made art

23:13 Technology's impact on creativity throughout history

24:50 Ethical AI, consent & compensation

27:02 Can AI ever be ethical?

28:12 Policy, regulation & AI accountability

30:59 The AI arms race explained

32:14 AI competition, China & global innovation

34:07 AI narratives we should question

35:00 The Myth of AI Inevitability

37:08 Democratizing AI and power structures

38:11 What AI advocates get wrong

40:40 Radical imagination & AI governance

42:45 What gives Charlie and Ted Hope?

46:22 Raising children in an AI world

51:56 Technology, optimism & intellectual humility

55:00 The most influential voices in AI

57:39 Karen Hao, Deborah Raji & human-centered AI

1:00:08 Responsible AI use for business leaders

1:02:13 Fighting over-optimization and AI dependence

1:04:19 The hidden risks of AI services

1:07:12 Final Thoughts

Connect with The AI Doc:

X: https://x.com/theaidocfilm

Instagram: https://www.instagram.com/theaidocfilm/

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

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

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

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

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

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

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

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

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

Are we giving up our freedom for convenience without realizing it?

In this episode, we sit down with Dr. Rumman Chowdhury, a globally recognized AI ethics leader featured in Time and Forbes, to unpack the real risks of artificial intelligence, Big Tech power, and data privacy.

As the former Head of AI Ethics at Twitter and Accenture, Dr. Chowdhury shares an insider perspective on how Big Tech is consolidating power, why narratives around AGI and “AI intelligence” are often misleading, and how everyday tools from apps to social media, are quietly shaping a surveillance-driven ecosystem.

This conversation dives into AI ethics, surveillance, and the future of work, and explores why trust in AI is declining even as adoption accelerates. We also break down the real-world implications of AI, and most importantly, how you can protect your data, reclaim your agency, and use AI more intentionally.

In this video:

00:00 Intro

01:16 What’s wrong with AI today

02:18 Why people trust AI less every year

03:09 Big tech vs the technology itself

04:22 Dangerous narratives about AI

06:09 Anthropomorphism and moral outsourcing

07:40 The myth of AGI and profit motives

09:20 The economics behind AI power

11:21 Consumer responsibility and the privacy paradox

13:42 “I have nothing to hide” explained

15:04 How big tech is consolidating control

16:42 What consumers should actually do

18:30 Real-world consequences of data misuse

21:05 From Pokémon Go to surveillance systems

22:29 The dilemma of social media and platforms

26:05 Can AI still be used for good

28:20 Algorithms, manipulation, and loss of agency

30:12 Inside AI ethics at Twitter

33:48 Why leadership and trust are changing

35:17 Surveillance capitalism and public backlash

37:31 How to think strategically about AI

41:19 Finding agency and intentional use of AI

45:06 Will society push back against AI power

52:02 The role of AI ethicists and builders

56:41 The future of work and automation reality

01:01:32 Why expertise and discernment matter most

01:06:35 Advice for business leaders using AI

01:11:33 Final thoughts on agency and discernment

Connect with Dr. Rumman Chowdhury:

LinkedIn: https://www.linkedin.com/in/rumman/

Instagram: https://www.instagram.com/rumman_c/?hl=en

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

What happens when AI, energy, and technology all go exponential at the same time?

Salim Ismail says we’re entering a “messy decade” of disruption…

In this episode, we sit down with Salim, the founding executive director of Singularity University and author of Exponential Organizations, to break down the rapid acceleration of AI, robotics, space tech, and solar energy, and what it all means for jobs, business, governments, and your future.

Salim explains why AI is doubling every 8–10 weeks, how the cost of technology is collapsing, and how this shift is reshaping innovation, the workforce, and global power structures. From space-based data centers and abundant energy to the rise of AI-native companies, this conversation explores the technologies driving one of the biggest transformations of our time.

Like and follow for weekly episodes.

In this episode:

00:00 Intro

01:00 What’s actually going exponential right now

03:30 The convergence of multiple exponential technologies

05:00 Space tech breakthroughs & $6M rocket launches

06:30 Data centers in space & infinite compute

07:45 From scarcity to abundance: the big shift

10:30 Real-world examples: music, communication, and industry disruption

12:45 The “messy decade” before the future gets better

14:00 Why institutions are breaking down (government, media, education)

15:30 Star Trek vs mad max: two possible futures

17:00 Why humans fear AI

20:00 Why technology is still humanity’s biggest advantage

23:00 Will AI take your job?

25:00 The ATM example: why jobs don’t disappear

26:30 AI organizations and 80% workforce reduction myth

28:30 The future of companies: small teams, big impact

30:00 The rise of the creative economy

32:00 Why human experience becomes more valuable

34:30 AI and human experts (doctors, teachers, consultants)

37:00 Which industries will be disrupted first

40:00 Why governments are falling behind

41:30 How to actually innovate

46:30 What leaders must do right now

50:00 What is an exponential organization?

52:30 “What do I do on Monday?” practical advice

57:00 The only strategy that works

59:00 AI startups & the future of entrepreneurship

01:02:00 Why most companies will fail to adapt

01:06:00 How to increase organizational speed

01:10:00 Leadership in the age of exponential change

01:15:00 The future of nations vs cities

01:20:00 Remote work vs in-person work

01:25:00 Robots, AI, and the coming inner loop

01:26:30 Why AGI is misunderstood

01:32:00 What most people get wrong about the future

01:34:00 Fixing civilization & human evolution

01:37:00 Psychedelics, creativity, and human potential

01:42:00 AI solving science and R&D autonomously

01:48:00 Raising kids in an AI world

01:52:00 The risk of losing human connection

01:53:00 Where we’re headed

Connect with Salim:

LinkedIn: https://www.linkedin.com/in/salimismail/

X: https://x.com/salimismail

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

Are businesses falling behind in the AI revolution?

While AI is transforming everything from workflows to decision-making, many companies are facing a surprising reality: they’re becoming less prepared for AI, not more. In this episode, we sit down with Brian Solis, a globally recognized futurist and thought leader, to explore how disruptive technology is reshaping business, society, and the future of work.

As Head of Global Innovation at ServiceNow, Brian shares expert insights on business innovation, AI adoption, and what it truly takes to succeed in this rapidly evolving landscape. We also talk about the growing gap between AI-native companies and traditional enterprises, the rise of the agentic enterprise, and why true AI-driven reinvention requires far more than simple automation.

Like and follow for weekly episodes.

In this episode:

00:00 Intro

00:55 Are businesses falling behind in AI?

01:30 What “AI disruption” really means for business

03:30 The hidden dangers of AI: Bias, sycophancy & atrophy

05:20 Why most companies are underusing AI (capability overhang)

07:00 The AI index explained: Why readiness is declining

08:30 AI maturity scores are dropping and here’s why

10:50 Will AI-native startups disrupt enterprise giants?

13:00 How AI is reshaping jobs, roles, and workflows

15:30 The biggest myth: “AI transformation is easy”

16:30 What is the agentic enterprise? (future of AI work)

18:30 Automation vs innovation: Where AI creates real value

20:30 Why AI needs vision, not just it execution

22:30 IKEA’s $1B AI Pivot: A real business case study

25:00 AI business reinvention vs digital transformation

27:00 AI agents explained: How they actually work in business

30:00 Who manages AI? The Rise of HR and IT collaboration

33:30 The Chief Workflow Officer: A new c-suite role?

37:30 Innovation culture vs reality: Why most companies fail

45:00 Can you succeed in AI without an innovation culture?

53:00 Biggest AI myth debunked and final takeaways

Connect with Brian:

LinkedIn: https://www.linkedin.com/in/briansolis/

X: https://x.com/briansolis

Instagram: https://www.instagram.com/briansolis/

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

What happens to leadership, meaning, and human value in the age of AI?

On this episode of Digital Disruption, we’re joined by Chip Conley, the former Head of Strategy at Airbnb, New York Times bestselling author, and founder of the Modern Elder Academy.

Chip joins Geoff to explore whether humans are becoming obsolete or more important than ever. Chip makes the case that while AI is commoditizing knowledge, it’s elevating the value of human wisdom, intuition, and soulful leadership. They unpack the difference between knowledge and wisdom, why AI struggles to ask the right questions, how leaders can balance efficiency with humanity, and what the future of work looks like in an AI-driven world. From philosophy and ethics making a comeback to practical frameworks and wisdom as metabolized experiences shared for the common good, this episode is for anyone navigating AI transformation, searching for meaning, or rethinking what it means to lead and work today. If AI is the age of intelligence, this conversation argues that wisdom is the real competitive advantage.

Chip is an American hotelier, hospitality entrepreneur, author, and speaker who founded Joie de Vivre Hospitality, growing it into the second-largest boutique hotel brand in the U.S., and later served as Airbnb’s Head of Global Hospitality & Strategy. A New York Times bestselling author of books like Peak, Emotional Equations, and Wisdom@Work, he founded the Modern Elder Academy, the first “midlife wisdom school,” to reframe aging and midlife. He is a prominent speaker, board member, and advocate for social impact initiatives.

In this episode:

00:00 Intro

00:27 Are humans becoming obsolete in the age of AI?

01:08 What is Chip Conley’s core philosophy today?

01:27 Knowledge vs. wisdom: Why it matters more than ever

02:30 AI, intelligence, and the limits of answers

03:16 Why AI can’t ask the right questions (yet)

04:06 Human intuition, storytelling, and experience

06:19 Is AI a useful tool for leaders?

07:06 How to use AI effectively as a leader

07:43 Efficiency vs. soulfulness in work

09:18 The human + AI partnership

11:27 What is “soulfulness” in leadership?

14:10 Leadership, agency, and accountability

15:30 Leaders as resource allocators

17:17 Great leaders create future leaders

18:29 Defining soulfulness: Empathy, intuition & connection

20:19 Why soulful leaders feel different

21:36 Is society losing its soul?

22:25 Why scarcity makes wisdom more valuable

24:27 Leadership, culture, and emotional contagion

27:04 “Win at All Costs” vs. soulful leadership

28:16 Is being human a weakness in business?

29:53 The return of philosophy, ethics & humanities

31:09 Why wisdom is making a comeback

34:23 The future of work and what changes

37:31 AI as a partner, not a replacement

38:20 New careers: Coaches, curators & meaning makers

39:04 What is Wisdom?

42:18 Viktor Frankl & the equation for meaning

44:24 Purpose vs. meaning explained

46:47 Growth mindset vs. Know-it-all culture

49:32 Turning pain into wisdom

50:29 The Midlife “U-Curve” of happiness

53:21 The “Diet of Despair” in modern media

59:19 Advice for young people in the AI era

01:02:10 Why usefulness matters more than youth

Connect with Chip:

LinkedIn: https://www.linkedin.com/in/chipconleysf/

X: https://x.com/ChipConley

Instagram: https://www.instagram.com/chipconley/

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

Are we in an AI bubble or at the beginning of the biggest technological convergence cycle since the Industrial Revolution?

On this episode of Digital Disruption, we’re joined by the CEO of the Future Today Strategy Group and tech futurist Amy Webb.

Amy joins Geoff Nielson to unpack what 2026 really looks like through the lens of artificial intelligence, programmable biology, quantum computing, biological computing, geopolitics, and systems-level change. Amy argues that we’ve officially entered a new convergence cycle, a rare historical moment where AI, biotech, computing architectures, economic systems, and geopolitics collide to create an entirely new reality. This isn’t incremental innovation. It’s structural transformation.

If you’re looking for a conversation grounded in data-backed frameworks to help you navigate disruption, understand convergence cycles, and build real strategic vision in an age of uncertainty, this episode is for you.

Tune in to hear what “creative destruction” truly means for business leaders, how power is shifting between Big Tech, governments, and capital markets, why “future-proofing” is a myth, and why many CEOs are falling short when it comes to long-term strategic foresight.

Amy is recognized as the global authority who transformed the practice of strategic foresight into a rigorous, data-driven discipline. A pioneering quantitative futurist, she established the field’s foundational methodologies that today guide leaders, organizations, and governments in anticipating disruption, shaping the future, and securing long-term growth. Ranked the #4 Most Influential Management Thinker in the World by Thinkers50, Amy is regarded as one of the most important voices on the future of technology, business, and society. Forbes named her “one of the five women changing the world,” and the BBC recognized her among its 100 Women of the Year.

In this video:

00:00 Intro

01:08 Where are we in 2026? A world in technological “Typhoon”

01:49 What is a convergence cycle? (Industrial revolution to internet era)

04:14 Why AI is the foundation of this new era

05:04 Systems-level change vs trend stacking

06:19 From AI winters to generative AI breakthroughs

07:27 Power shifts: OpenAI, Microsoft, Google & Competitive Dynamics

08:31 Winners vs losers in the convergence economy

09:26 Fear, FOMO & leadership paralysis

12:17 Rethinking regulation & geopolitical power shifts

15:40 Why “Future-Proofing” is a myth

17:14 AI capital flood: Is there a bubble?

19:25 Enterprise AI & the 80% workforce threshold

23:27 The attention economy & AI hype

27:28 Where AI actually creates real impact

28:11 Programmable biology & DeepMind’s Evo 2

30:00 Climate solutions, agriculture & synthetic biology

31:59 Dolly the Sheep & why transparency matters

38:19 mRNA, public trust & technology communication

40:15 The polycompute future: AI + quantum + biological computing

41:01 Quantum computing’s business implications

42:20 Brain organoids & biological computers

46:48 Creative destruction: What must die for you to survive?

49:00 Why evolution isn’t enough anymore

51:47 Why leaders avoid dangerous conversations

52:39 Strategic foresight & data-backed vision

56:36 Why AI navel-gazing is procrastination

57:23 Leadership in an age of convergence

Connect with Amy:

LinkedIn: https://www.linkedin.com/in/amywebb/

X: https://x.com/amywebb

Instagram: https://www.instagram.com/amywebbfuturist/

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

Is AI really replacing software engineers, or just changing how they work?

On this episode of Digital Disruption, we’re joined by Bala Muthiah, Director of Engineering at Lyft.

Bala sits down with Geoff to cut through the hype around AI in software development and explain what’s actually changing inside high-performing engineering teams and what that means for the future of work. From vibe coding and AI-powered prototyping to production-ready systems, productivity gains, and the reality behind 10x (or 100x) engineer claims, Bala shares a grounded perspective on why true improvements are closer to 10–20%, not exponential overnight disruption. They discuss engineering leadership in the AI era, bridging skeptics and evangelists, why value creation matters more than lines of code, the importance of customization over out-of-the-box AI, data privacy and governance responsibilities, the growing digital divide, and the critical role of curiosity, culture, and trust in building modern tech teams.

Bala is a technology leader who builds high-performing teams and AI that enhances human connection. Beyond his technical leadership, he serves as a startup advisor and served as an advisory board member at Defy Ventures (nonprofit focused on prison reform), reflecting his belief that community impact and innovation should grow together. He emphasizes that AI with humans in the forefront shapes everything he does. AI. He promotes positive aspects of AI while recognizing that leaders must guide its development responsibly.

In this episode:

00:00 Intro

00:57 Why this is the most pivotal moment in tech

02:21 Bridging the AI dreamers and skeptics

03:18 Productivity vs. value creation

04:44 Vibe Coding: Hype vs. reality

05:27 Democratizing software development

06:09 Prototyping vs. production code

08:17 Will AI reduce the need for engineers?

12:25 What engineers should focus on now

13:59 Curiosity as a core engineering trait

15:34 Why engineers must be close to customers

17:28 Feature slop & intentionality

20:39 Lyft’s real-time AI design workflow (cursor example)

23:32 When AI is (and isn’t) truly real-time

25:18 Custom AI vs. out-of-the-box tools

26:55 Data ethics, privacy & governance in ai

29:04 A framework for sensitive data

31:18 Why leaders must act before regulation

32:38 AI Hype: Utopia vs. doomsday narratives

36:23 Culture as a competitive advantage

38:55 What makes a great engineering leader

40:42 Common mistakes new tech managers make

45:19 From “sell” to “tell”

47:55 Leading hybrid & remote engineering teams

49:46 The 10x (or 100x?) engineer debate

53:29 Advice for young engineers

55:23 The future of work

56:55 Bridging the digital divide

58:51 “Give Before You Take” philosophy

Connect with Bala:

LinkedIn: https://www.linkedin.com/in/balaarjunan/

X: https://x.com/balaarjunan

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

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

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

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

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

What if AI becomes the most consequential technology in human history?

On this episode of Digital Disruption, we’re joined by Nina Schick, geopolitical analyst and one of the world’s leading voices on AI.

Nina Schick is a globally recognized expert on AI, geopolitics, and power. She was among the first to forecast the societal impact of AI-generated content and now leads the conversation on Industrial Intelligence, the idea that AI is not just software, but a geopolitical and industrial transformation.

Nina sits down with Geoff to unpack how intelligence itself is becoming a geopolitical weapon. She explains why we are entering the Age of Intelligence, where non-biological intelligence may soon rival or surpass human intelligence, reshaping economics, warfare, democracy, labor, and global power structures

This conversation goes far beyond AI tools and chatbots. We explore:

Why AGI may arrive sooner than expected

How AI infrastructure and scaling laws are reshaping global power

What AI means for warfare, democracy, and national security

How near-zero-cost intelligence will transform work and leadership

In this episode:

00:00 Intro

01:33 The AI scaling laws accelerating toward AGI

03:09 Excitement vs fear: how disruptive will AI really be?

05:16 Deepfakes, information warfare, and early AI misuse

06:58 AI’s true killer app: scientific discovery

08:49 Intelligence as a utility and the speed of global disruption

10:38 Why AI is becoming the biggest political issue of our time

12:12 Concentration of power and the rise of AI monopolies

14:33 Technology, history, and why power always follows innovation

16:18AI infrastructure, hyperscalers, and trillion-dollar CapEx

19:05 AI as hard power and American technological dominance

21:15 NATO, national security, and autonomous warfare

23:55 The end of American hegemony and the rise of hard power politics

27:36 Democracy vs authoritarianism in the AI race

29:48 Why trivial consumer AI is a strategic failure

35:52 What AI deployment really means for businesses

39:13 The myth of AI tools vs intelligence as a capability

41:41 Will AI actually cause mass layoffs?

46:32 Asset ownership in a world of cheap intelligence

50:24 How AI empowers individuals and emerging economies

52:51 The most important skills for the AI age

55:38 Why being human matters more than ever

56:41 Resilience, risk, and the future

Connect with Nina:

LinkedIn: https://www.linkedin.com/in/ninaschick/

X: https://x.com/NinaDSchick

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

Is the metaverse actually dead or just badly branded?

On this episode of Digital Disruption, we’re joined by Christian Venables, co-founder of Radical Realities.

Christian specializes in immersive technology and AI, staying at the forefront of emerging tools, platforms, and workflows. With a strong foundation in architecture and design, he has transitioned into extended reality (XR), exploring the evolving possibilities of virtual reality (VR), augmented reality (AR), and spatial computing. He is the Co-Founder of Radical Realities, a global immersive studio of creative innovators operating entirely virtually. The studio delivers experiences that transcend the physical world, spanning metaverse development, gaming, AR/VR/MR, CGI, VFX, and AI consultancy. Throughout his career, Christian has led and contributed to immersive projects for globally recognized brands including Coachella, Universal, Disney, Cartier, and Hyundai.

Christian sits down with Geoff to break down why the metaverse will be rebranded and not abandoned. The real future isn’t cartoon avatars or fantasy worlds, but spatial computing, AR glasses, and ambient interfaces that blend seamlessly into everyday life. Despite years of hype, backlash, and false hope, the metaverse may finally be entering its most practical and powerful phase. Christian explains why the term itself may disappear, while the underlying technologies XR, spatial computing, AI-driven 3D design, and wearable AR glasses, are already reshaping how we work, learn, design, and collaborate. From Meta Ray-Ban display glasses and neural wristbands to Gravity Sketch, Unreal Engine, and AI-assisted worldbuilding; This conversation explores how immersive computing is moving beyond gimmicks into real-world utility, especially across architecture, engineering, education, and the creative industries.

In this video:

00:00 Intro

03:00 Is the metaverse dead or just misbranded?

06:00 Spatial computing vs virtual worlds

09:00 Why AR glasses matter more than headsets

12:00 Smart glasses: why this wave is different

15:00 Neural wristbands and gesture-based control

18:00 How quickly humans become dependent on tech

21:00 The split between human-made and AI-generated culture

24:00 Augmenting creativity instead of replacing it

27:00 Designing entirely inside VR

30:00 Gravity Sketch: true 3D creation explained

34:00 Why spatial collaboration beats screens

38:00 Real-world use cases: architecture & manufacturing

42:00 Why mouse and keyboard are reaching their limits

47:00 AI + XR: generating worlds in real time

52:00 What needs to happen before immersive tech scales

56:00 Should immersive computing be back on our radar?

Connect with Christian:

LinkedIn: https://www.linkedin.com/in/christian-venables-74542836/

Instagram: https://www.instagram.com/csavenables/

X: https://x.com/Csavenables

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

What happens when the people building artificial intelligence quietly believe it might destroy us?

On this episode of Digital Disruption, we’re joined by Gregory Warner, Peabody Award–winning journalist, former NPR correspondent, and host of the hit AI podcast The Last Invention.

Gregory Warner is a versatile journalist and podcaster. He has been recognized with a Peabody Award and other awards from organizations like Edward R. Murrow, New York Festivals, AP, and PRNDI. Warner's career includes serving as an East Africa correspondent, where he covered the region's economic growth and terrorism threats. He has also worked as a senior reporter for American Public Media's Marketplace, focusing on the economics of American health care. His work has been recognized with a Best News Feature award from the Third Coast International Audio Festival.

Gregory sits down with Geoff for an honest conversation about the AI race unfolding today. After years spent interviewing the architects, skeptics, and true believers behind advanced AI systems, Gregory has come away with an unsettling insight: the same people racing to build more powerful models are often the most worried about where this technology is heading. This episode explores whether we’re already living inside the AI risk window, why AI safety may be even harder than nuclear safety, and why Silicon Valley’s “move fast and fix later” mindset may not apply to superintelligence. It also examines the growing philosophical divide between AI doomers and AI accelerationists. This conversation goes far beyond chatbots and job-loss headlines. It asks a deeper question few are willing to confront: are we building something we can’t control and, doing it anyway?

In this video:

00:00 Intro

03:00 AI models that already behave like elite hackers

05:00 Why the AI risk window may already be open

06:30 What AI safety actually means (and why it’s so hard)

12:00 Human-in-the-loop: safety feature or illusion?

15:00 AI as an alien intelligence, not a human one

19:00 The Silicon Valley AI arms race explained

21:00 OpenAI, DeepMind, Anthropic, xAI: who’s racing and why

25:00 The “Compressed Century” and radical AI optimism

27:00 Can AI actually solve humanity’s biggest problems?

33:00 Capital, competition, and the pressure to deploy

37:00 Is AI more dangerous than nuclear weapons?

39:00 The problem with comparing AI to past technologies

43:00 What happens to human agency in an AI-driven world?

45:00 How AI reshapes creativity, journalism, and truth

53:00 The quiet assumptions built into AI systems

55:00 Why optimism and fear both miss the full picture

59:00 What responsibility do users have?

01:01:00 The most important question we’re not asking about AI

Connect with Gregory:LinkedIn: https://www.linkedin.com/in/radiogrego/Instagram: https://www.instagram.com/radiogrego/

Visit 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 to jobs, money, and meaning when intelligence becomes cheaper than labor and humans are no longer the smartest ones in the room?

On this episode of Digital Disruption, we’re joined by Emad Mostaque, founder of Stability AI and a leading voice in the global AI revolution.

Emad Mostaque is a businessman, mathematician, and former hedge fund manager. He is the co-founder and was CEO of Stability AI, the company behind the popular text-to-image generator Stable Diffusion. With a master’s degree in mathematics and computer science from Oxford, Emad Mostaque has significantly contributed to artificial intelligence. His vision for Stability AI was to “build the foundation to activate humanity’s potential” through open-source generative AI.

Emad sits down with Geoff to explore a future that may arrive far sooner than most people expect. He argues that within the next 1,000 days, artificial intelligence will fundamentally reshape the global economy, upending work, capitalism, enterprise software, and even how we define human value. Drawing from his book The Last Economy, Emad lays out a stark and deeply thought-provoking framework for understanding what comes next when cognitive labor becomes economically irrelevant. This conversation explores the inevitabilities of exponential AI progress, including why intelligence is becoming “too cheap to measure,” how AI agents will replace many jobs done behind a screen, and the coming shift from human-plus-AI teams to AI-only systems. Beyond the economics, Emad also tackles the human question: where meaning comes from in a world where AI outperforms us at most cognitive tasks. He argues that resilience in the AI age will depend less on job titles and more on community, networks, relationships, and how deeply individuals engage with the technology itself.

In this video:

00:00 Intro

04:30 What is “The Last Economy”?

08:45 Intelligence becomes too cheap to measure

13:30 The three possible AI futures

18:00 Are humans becoming the weakest link?

22:15 The rise of economic agents

27:00 Digital doubles and the end of white-collar work

31:45 Enterprises racing toward zero employees

36:30 Why AI is cheaper than human labor (by orders of magnitude)

41:15 Software, SaaS, and the collapse of enterprise moats

46:00 The internet after AI agents

50:15 Who controls the “AI next to you”?

54:30 Open-Source vs Big Tech AI

58:45 The first one-person billion-dollar company

1:03:30 What humans are still for

1:07:00 How to prepare for the AI economy now

Connect with Emad:

LinkedIn: https://www.linkedin.com/in/emad-mostaque-9840ba274/?originalSubdomain=uk

X: https://x.com/EMostaque

Facebook: https://www.facebook.com/mostaquee/

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 artificial intelligence humanity’s greatest salvation, or the most dangerous force we’ve ever unleashed?

Artificial intelligence is no longer a future concept, it’s a force already reshaping geopolitics, economics, warfare, and the human experience itself. In this year in review episode of Digital Disruption, we bring together the most provocative, conflicting, and urgent ideas from this past year to confront the biggest question of our time: What does AI actually mean for humanity’s future?

Across more than 40 conversations with leading technologists, journalists, researchers, and futurists, one theme dominated every debate, AI. Some guests argue that artificial general intelligence (AGI) and superintelligence could trigger an extinction-level event. Others believe AI may usher in an era of total abundance, solving humanity’s hardest problems. And still others claim today’s AI hype is little more than marketing smoke and mirrors.

This episode puts those worldviews head-to-head.

In this episode:

00:00 The AI singularity is here

05:00 Existential threat or greatest opportunity?

10:00 Why no one agrees on ai’s future

15:00 The race toward AGI and superintelligence

20:00 The control problem nobody has solved

25:00 Intelligence has no morality

30:00 Capitalism, venture capital, and the AI arms race

35:00 Is AI just a marketing illusion?

40:00 Generative AI: Power, limits, and misuse

45:00 Autonomous weapons and modern warfare

50:00 Fear as the driver of dangerous innovation

55:00 Why AI is not like nuclear weapons

1:00:00 The first and second AI dilemmas

1:05:00 Handing decisions over to machines

1:10:00 Collapse, abundance, or course correction?

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are companies preparing for an AI-powered future or reacting out of fear of being left behind?

Looking ahead to 2026, Geoff Nielson and Jeremy Roberts sit down for an unfiltered conversation about artificial intelligence, the economy, and the future of work. As AI hype accelerates across markets, boardrooms, and headlines, they ask the hard questions many leaders and workers are quietly worrying about: Are we in an AI bubble? If so, what happens when expectations collide with reality?

This episode explores whether today’s massive investment in AI, GPUs, infrastructure, copilots, and generative tools is laying the foundation for long-term value or repeating the familiar patterns of past tech bubbles like the dot-com boom and the subprime mortgage crisis. Geoff and Jeremy break down why traditional metrics like price-to-earnings ratios matter, why Nvidia and big tech dominate the narrative, and why the real risk may not be collapse but widespread underperformance.

The conversation goes far beyond markets. They dig into the impact of AI on jobs, layoffs, and corporate restructuring, challenging the idea that AI is “taking jobs” versus being used as convenient cover for economic tightening. From IT, HR, and operations to customer-facing roles, they examine how AI could reshape workforce composition, accelerate automation, and create a new and potentially unsettling employment equilibrium. You’ll also hear a candid critique of how organizations are actually using AI today and what is to come next in 2026.

Tech Trends Report 2026: https://www.infotech.com/research/ss/tech-trends-2026?utm_source=youtube&utm_medium=social&utm_campaign=research

In this video:

00:00 Just add AI to everything?

03:45 Looking ahead to 2026: Nobody knows what’s coming

07:10 Are we in an AI bubble?

12:30 Comparing AI to the dot-com and 2008 crashes

18:10 Nvidia, GPUs, and the AI Gold Rush

24:20 Why AI infrastructure may be ahead of real-world use cases.

30:40 Markets untethered from reality

36:50 is AI really taking jobs or is something else happening?

43:30 The real employment question for 2026

49:40 Corporate bloat, back-office roles, and automation

56:10 Why most AI projects fail to deliver value

1:02:45 From productivity theater to real ROI

1:09:20 Faster horses vs. Real cars in AI

1:15:40 AI 2.0: Agents, experiments, and what comes next

1:22:10 The real risk ahead: Underperformance, not collapse

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

Are we using AI in a way that actually makes us smarter or are we unknowingly making ourselves less capable, less curious, and easier to automate?

On this episode of Digital Disruption, we are joined by artificial intelligence expert and neuroscientist, Dr. Vivienne Ming.

Over her career, Dr. Vivienne Ming has founded 6 startups, been chief scientist at 2 others, and founded The Human Trust, a philanthropic data trust and “mad science incubator” that explores seemingly intractable problems—from a lone child’s disability to global economic inclusion—for free. She co-founded Dionysus Health, combining AI and epigenetics to invent the first ever biological test for postpartum depression and change the lives of millions of families. She also develops AI tools for learning at home and in school, models of bias in hiring and promotion, and neurotechnologies to treat dementia and TBI. Vivienne was named one of “10 Women to Watch in Tech” by Inc. Magazine and one of the BBC’s 100 Women in 2017. She is featured frequently for her research and inventions in The Financial Times, The Atlantic, Quartz Magazine and the New York Times.

Dr. Vivienne Ming sits down with Geoff to unpack one of the most misunderstood truths about artificial intelligence: AI isn’t here to replace your thinking it’s here to challenge it. And whether you grow or get left behind depends entirely on how you choose to engage with it. Dr. Ming reveals why most organizations and most individuals are using AI in the worst possible way. Instead of creating leverage, they’re creating “work slop,” cognitive dependency, shallow automation, and declining human capability. She explains why the real competitive advantage in the AI age comes from productive friction, creative complementarity, and teams that know how to use AI to explore the ill-posed problems—the ambiguous, uncertain, high-value challenges machines can’t solve on their own. From how to robot-proof your company, to why AI tutors fail when they give answers, to the science of courage, reward systems, and organizational culture, this conversation is one of the most honest explorations of the future of human capability in an AI-saturated world.

In this video:

00:00 Intro

02:30 The real value of hybrid intelligence

05:00 Cognitive automation vs. true complementarity

08:20 Ill-posed problems: where humans still win

12:10 What elite performers really do differently

16:00 The paradox of AI: why more automation creates more work

18:30 How hybrid teams beat prediction markets

20:50 Inequality & imagination disease in AI

23:10 AI tutors & the golden rule: never give the answer

28:00 The nemesis prompt: how to robot-proof yourself

44:20 Courage, ethics & reward structures in organizations

54:00 Using AI without losing the human story

01:06:30 How to robot-proof your company

Connect with Vivienne:

Website: https://socos.org/about-vivienne

LinkedIn: https://www.linkedin.com/in/vivienneming/

Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

If AI is becoming a “playground” for experimentation, are today’s organizations bold enough to explore it or are they still too afraid to try?

On this episode of Digital Disruption, we are joined by Kenneth Cukier, Deputy Executive Editor at The Economist and bestselling author.

Kenneth Cukier is the Deputy Executive Editor at The Economist. He is the author of several books on technology and society, notably “Framers” on the power of mental models and the limitations of AI, with Viktor Mayer-Schönberger and Francis de Vericourt, as well as “Big Data: A Revolution That Transforms How We Live, Work and Think” with Viktor. It was a NYT bestseller translated into over 20 languages, and sold over two million copies worldwide. It won the National Library of China’s Wenjin Book Award and was a finalist for the FT Business Book of the Year. Kenn also coauthored a follow-on book, “Learning with Big Data: The Future of Education”. He has been a frequent commentator on CBS, CNN, NPR, the BBC and was a member of the World Economic Forum’s global council on data-driven development.

Kenneth has spent decades at the intersection of AI, journalism, business strategy, and global policy. In this conversation, he sits down with Geoff to share candid insights on how AI is reshaping organizations, leadership, economics, and the future of work. He breaks down the real state of AI, what’s hype, what’s real, and what it means for workers, leaders, and companies. Kenneth explains how AI is shifting from automating tasks to expanding the frontier of knowledge, why today’s multi-trillion-dollar AI investment wave is both overhyped and underhyped, and how everything from healthcare to management is poised to transform. This episode explores why most companies should treat AI as a “playground” for experimentation, how The Economist is using generative AI behind the scenes, the human skills needed to stay competitive, and why great leadership now requires enabling curiosity, psychological safety, and responsible innovation. Kenneth also unpacks the growing “AI-lash,” the limits of GDP as a measure of progress, and why the organizations that learn fastest, not the ones that simply know the most, will win the future.

In this episode:

00:00 Intro

05:00 AI Today: Overhyped, underhyped, or both?

10:00 From Big Data to LLMs: How we got here

15:00 The $3 trillion AI wave: What it really signals

20:00 Automation vs. knowledge expansion

25:00 Inside The Economist: How they actually use Generative AI

30:00 Why “more content” isn’t a strategy

35:00 Leadership in the age of AI: Curiosity, judgment, culture

40:00 The skills humans must keep and why they matter more now

45:00 The rise of the “AI-lash” and public skepticism

50:00 GDP, progress, and what we’re measuring wrong

55:00 Why the fastest learners win the future

1:01:00 What can this technology really do?

Connect with Kenneth:

Connect with Kenneth:

Website: http://www.cukier.com/

LinkedIn: https://www.linkedin.com/in/kenneth-cukier-9ab56335/

X: https://x.com/kncukier

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

What does the future of work really look like when AI, identity, and culture collide?

On this episode of Digital Disruption, we’re joined by Dr. Anne-Marie Imafidon, Chair of the Institute for the Future of Work.

Anne-Marie is a leading voice in the tech world, known for her work as a trustee at the Institute for the Future of Work and as the temporary Arithmetician on Channel 4’s Countdown. A former child prodigy who passed A-level computing at 11 and earned a Master’s in Maths and Computer Science from Oxford by 20, she has since spoken globally for companies including Facebook, Amazon, Google and Mastercard. She hosts the acclaimed Women Tech Charge podcast and is a sought-after presenter who has interviewed figures such as Jack Dorsey and Sir Lewis Hamilton. Anne-Marie has received multiple Honorary Doctorates, serves on several national boards, and continues to champion diversity and innovation in tech. Her latest book, She’s In CTRL, was published in 2022.

Dr. Anne-Marie joins Geoff to break down how AI, big data, quantum, and the wider “Fourth Industrial Revolution” are transforming jobs, workplaces, identity, culture, and society. From redefining long-held beliefs about “jobs for life,” to the cultural fractures emerging between companies, workers, and society, Dr. Anne-Marie goes deep on what’s changing, what still isn’t understood, and what leaders must do right now to avoid being left behind. This conversation dives into why most AI use cases are still limited to fraud detection and customer service, and the hidden cultural blockers preventing real transformation. She emphasizes the danger of hype cycles, and how to stay focused on real value and how to build organizations that can experiment, learn, and make “high-quality mistakes.”

In this episode:

00:00 Intro

00:31 The Future of Work: What’s changing now

02:32 Generational identity, legacy jobs & why work is no longer “for life”

04:36 Work identity crisis & fragmentation of modern careers

07:45 Rethinking digital transformation & the fourth industrial revolution

11:36 Why the institute avoids the AI hype & looks beyond it

13:39 AI Hype vs. reality

17:50 High-quality mistakes

21:06 Tech design failures

23:18 Culture, customers & building organizations that reflect the real world

29:04 Destroying the “Einstein Myth” & rewriting who tech is for

39:37 First-principles thinking

50:34 Norms, unintended consequences & system-level change

55:32 When will the dust settle? ai timelines, disruption & what’s next

57:28 Closing thoughts

Connect with Dr. Ann-Marie:

LinkedIn: https://www.linkedin.com/in/aimafidon/

Instagram: https://www.instagram.com/notyouraverageami/

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

When intelligence becomes abundant, what happens to humanity’s purpose?

Andy Mills, the co-founder of The New York Times’ The Daily and creator of The Last Invention, joins us on this episode of Digital Disruption.

Andy is a reporter, editor, podcast producer, and co-founder of Longview. His most recent series, The Last Invention, explores the AI revolution, from Alan Turing’s early ideas to today’s fierce debates between accelerationists, doomers, and those focused on building the technology safely. Before that, he co-created The Daily at The New York Times and produced acclaimed documentary series including Rabbit Hole, Caliphate, and The Witch Trials of J.K. Rowling. A former fundamentalist Christian from Louisiana and Illinois, Andy now champions curiosity, skepticism, and the transformative power of listening to people with different perspectives, values that shape his award-winning journalism across politics, terrorism, culture wars, technology, and science.

Andy sits down with Geoff to break down the real debate shaping the future of AI. From the “doomers” warning of existential risk to the accelerationists racing toward AGI, Andy maps out the three major AI camps influencing policy, economics, and the future of human intelligence. This conversation explores why some researchers fear AGI, why others believe it will save humanity, how job loss and automation could reshape society, and why 2025 is becoming an “AI 101 moment” for the public. Andy also shares what he’s learned after years investigating OpenAI, Anthropic, xAI, and the people behind the AGI race.

If you want clarity on AGI, existential risk, the future of work, and what it all means for humanity, this is an episode you won’t want to miss.

In this episode:

00:00 Intro

01:00 The three camps of AI: doom, acceleration, scouts

05:00 Why skeptics aren’t driving the AI debate

07:00 Job loss, productivity & “good” vs. “bad” disruption

09:00 Existential risk & why scientists are sounding alarms

12:00 The origins of doomers and accelerationists

17:00 How AI debates escalated after ChatGPT

22:00 Why 2025 is an AI “101 moment” for the public

24:00 The tech stack wars: OpenAI, Anthropic, xAI

28:00 Why leaders joined the AI race

30:00 The accelerationist mindset

33:00 Contrarians, symbolists & the forgotten history of AI

39:00 Big Tech, branding & why AI CEOs avoid open conflict

42:00 The closed group chats of AI’s elite builders

46:00 Sci-Fi narratives vs. real-world intelligence risks

52:00 The AI bubble & why adoption is unlike any tech before

01:00:00 Are we entering a wright-brothers-to-moon-landing era?

01:10:00 What AGI means for capitalism, work & purpose

01:18:00 Why public debate needs to start now

01:20:00 What happens next

Connect with Andy:

Website: https://www.andymills.work/about

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

Are we chasing the wrong goal with Artificial General Intelligence, and missing the breakthroughs that matter now

On 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 Intro

01:00 How AI evolved since Artificial Intelligence: A Modern Approach

03:00 Is AGI already here? Norvig’s take on general intelligence

06:00 The surprising progress in large language models

08:00 Evolution vs. revolution

10:00 Making AI safer and more reliable

12:00 Lessons from social media and unintended consequences

15:00 The real AI risks: misinformation and misuse

18:00 Inside Stanford’s Human-Centered AI Institute

20:00 Regulation, policy, and the role of government

22:00 Why AI may need an Underwriters Laboratory moment

24:00 Will there be one “winner” in the AI race?

26:00 The open-source dilemma: freedom vs. safety

28:00 Can AI improve cybersecurity more than it harms it?

30:00 “Teach Yourself Programming in 10 Years” in the AI age

33:00 The speed paradox: learning vs. automation

36:00 How AI might (finally) change productivity

38:00 Global economics, China, and leapfrog technologies

42:00 The job market: faster disruption and inequality

45:00 The social safety net and future of full-time work

48:00 Winners, losers, and redistributing value in the AI era

50:00 How CEOs should really approach AI strategy

52:00 Why hiring a “PhD in AI” isn’t the answer

54:00 The democratization of AI for small businesses

56:00 The future of IT and enterprise functions

57:00 Advice for staying relevant as a technologist

59:00 A realistic optimism for AI’s future

Connect 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 Intro

00:44 The Generative AI Value Gap: Why 95% get no ROI

02:20 The paradox of AI productivity

05:38 Why measuring AI value is harder than we think

12:04 Leadership abdication: “Just sprinkle AI on everything”

15:10 AI infrastructure debt explained

20:17 What real AI readiness looks like (beyond tech)

23:42 Humans as part of AI infrastructure

28:00 Why “AI-first” isn’t one-size-fits-all

33:31 Building human judgment into AI systems

36:19 The risks of scaling too fast

41:34 Automation vs augmentation: where leaders go wrong

44:00 The “do the work” approach to AI success

48:35 The recipe for an AI-ready organization

53:40 Guardrails, governance, and security in AI systems

57:00 Thinking probabilistically: a new mindset for leaders

1:03:20 The human side of AI transformation

1:06:45 Leading through uncertainty

Connect with Cassie:

Website: https://www.kozyr.com/about

LinkedIn: https://www.linkedin.com/in/kozyrkov/

X: https://x.com/decisionleader

YouTube: https://www.youtube.com/c/Kozyrkov

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

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 Intro

02:00 The “Flintstones First” approach to digital leadership

04:40 How AI helps us become more human

06:15 Winners, losers, and adaptability in the AI era

08:30 Emotional intelligence and leadership in a tech-driven world

11:00 The need for guardrails in AI and social media

13:00 Teaching AI and digital leadership at Northwestern

15:00 How technology is transforming the classroom

17:45 The 70/30 rule: what changes vs. what never will

19:00 Core advice for leaders and digital innovators

21:30 Avoiding hype: testing new tech like AI and Clubhouse

23:00 Lessons from Montblanc and the origins of “Digital Leadership”

25:00 The Disney+ story: digital transformation done right

27:00 Building a culture of “fail fast, fail forward, fail better”

30:00 Balancing the Flintstones and the Jetsons

Connect with Erik:

Website: https://equalman.com/

LinkedIn: https://www.linkedin.com/in/qualman/

X: https://x.com/equalman

YouTube: @equalman

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

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 Intro

00:36 “AI doesn’t work”

02:05 The limits of LLMs

04:33 Microsoft Copilot and the illusion of productivity

07:05 The AI job myth: Who’s really being replaced?

10:00 CEOs, opportunism, and the false narrative of AI efficiency

12:00 The Salesforce example: Lies, hype, and failure to deliver

14:00 What AI can actually do

18:00 The trust problem

19:45 Media complacency and tech industry collusion

22:00 Microsoft, Nvidia, and false growth

25:00 The Enron parallels

28:30 Why investors are rewarding bad behavior

31:00 Who gets hurt when the AI bubble bursts?

35:00 Unsustainable startups and rising model costs

38:00 The coming collapse of AI infrastructure

40:00 What business leaders should do now to avoid being burned

44:30 The harsh truth about ChatGPT

49:00 What real innovation looks like: Batteries, EVs, AR, and more

54:00 The future of work beyond AI hype

Connect with Ed:

LinkedIn: https://www.linkedin.com/in/edzitron/

X: https://x.com/edzitron

Instagram: instagram.com/edzitron

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