What Leaders Get Wrong About AI
In the first episode, I break down the three most common mistakes I see when senior leaders approach AI — and what to do instead.
Show Notes
In this inaugural episode, I tackle the three mistakes I see most often when working with senior leaders on AI strategy.
Key Points
- Mistake 1: Treating AI as a technology project. AI is a business transformation. If it lives solely in IT, it will fail.
- Mistake 2: Starting too big. The organisations that succeed start with focused, measurable pilot projects — not company-wide transformations.
- Mistake 3: Ignoring change management. Your people need to understand why AI matters, how it affects their work, and what’s expected of them.
Links Mentioned
- McKinsey Global Survey on AI adoption
- Harvard Business Review: “Why AI Projects Fail”
Timestamps
- 00:00 — Introduction
- 02:30 — Mistake 1: Technology-first thinking
- 12:15 — Mistake 2: Going too big too fast
- 21:00 — Mistake 3: Forgetting the people
- 28:45 — What to do instead
- 31:00 — Wrap-up