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