EP 118: What Leaders Are Actually Afraid of Getting Wrong With AI

About this episode

This episode discusses the fears leaders have regarding AI decisions and the implications of making those decisions in a public context.

Most leaders aren’t afraid of AI. They’re afraid of being the case study for getting it wrong. In this episode, Yvette Brown and Shari Nomady unpack the tension leaders rarely name directly: the fear of making a visible decision that doesn’t age well. AI has compressed the timeline between deciding and explaining. There’s less room to experiment quietly. Less space to refine before scrutiny arrives. This conversation is not about the latest AI tools. It’s about credibility, reversibility, and what leadership requires when decisions form in public. If AI feels heavier than previous tech shifts, this episode explains why. AI decisions shouldn’t be made in isolation. If you’re looking for structured peer dialogue, request a guess pass to an upcoming AI for Business leadership community session.

People in this episode

Guests: Yvette Brown, Shari Nomady

Topics covered

• AI
• leadership
• decision making
• credibility

Keywords

• fear of AI
• leadership challenges
• public decision making

More episodes of Instant X-Pertise: Marketing

• EP 129: The AI Noise isn’t Random · June 4, 2026 · 14 min
• EP 128: The Unnamed Gap in AI Adoption · May 28, 2026 · 14 min
• EP 127: Keep Guessing. Or Learn to See AI Clearly. · May 11, 2026 · 15 min
• EP 126; Where Does Your Judgment Actually Create Value? · May 6, 2026 · 15 min
• EP 125: AI Looks Infinite—Until You See the Only Three Ways It Creates Value · April 28, 2026 · 15 min
• EP 124: AI Tools Are a Distraction from the Real Question · April 20, 2026 · 14 min