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

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