Digital Disruption with Geoff Nielson

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.

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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