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The AI Hire Everyone Is Getting Wrong
Season 1
Episode 29
Published 2 months, 1 week ago
Description
This week's episode goes deep on one of the most consequential hiring decisions in your organization right now: who should be leading your AI transformation — and why the instinct to hire a senior technology executive is almost certainly wrong.
Key topics covered:
- Why 88% of companies using AI are seeing almost no return on the investment
- The failure pattern: AI pilots that run for 18 months and never touch a real workflow
- BCG's 10-20-70 rule — why 70% of AI value comes from process change, not the algorithm
- IBM Watson Health: a $62 million cautionary tale about the wrong kind of leadership
- The AI Operating Partner model emerging in private equity
- The "anchor employee" hiding in your organization
- The citizen developer revolution: Accenture's 50,000 internal builders
- The constellation model vs. bloated enterprise platforms
- Governance that keeps it from becoming shadow IT chaos
Host: Stephen Forte