Think Big, Start Small: Paul Carroll on AI, Platforms & Avoiding Big Mistakes

In this first episode of Practical AI, Julien Breteau sits down with Paul Carroll, Editor-in-Chief of Insurance Thought Leadership and co-author of Billion Dollar Lessons.

Paul shares hard-won lessons from covering IBM’s near-collapse at the Wall Street Journal to advising thousands of business leaders on innovation. Together, they explore:

• Why slow decision-making kills AI adoption (and what CEOs can do about it)
• How today’s “platform wars” echo the Windows vs. Mac battles of the 90s and why choosing the right AI platform matters
• The difference between generative AI and data science (and the risk of mixing them up)
• A practical playbook for leaders: how to think big, start small, and kill bad ideas fast
• The single most important metric CEOs should track in their AI pilots

If you’re a CEO, operator, or business leader looking to cut through AI hype and uncover practical strategies, this episode delivers the insights you need.

Learn more about Paul’s work at Insurance Thought Leadership