Digital Disruption with Geoff Nielson

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