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The Hidden Costs of Poor AI Adoption (And Who Should Fix It)

People Managing People

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Your AI tools aren’t failing because the technology is bad — they’re failing because your organisation wasn’t ready. The real issue isn’t the model. It’s the mismatch between how machines operate and how humans work. And the result? Millions sunk into tools that don’t get used, don’t earn trust, or quietly increase complexity instead of reducing it.

In this conversation with David Swanagon, founder of the Machine Leadership Journal, we unpack a three-dimensional model that finally explains what’s going wrong. We explore why traditional leadership traits don’t map to AI innovation, why your CHRO needs a seat at the AI strategy table, and how the real challenge of AI is cultural, not technical. If you’ve been treating AI adoption like a tech rollout, it’s time to rethink — fast.

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Chapters

1. The Costly AI Adoption Gap (00:00:00)

2. Why The U.S. Lags In Readiness (00:02:11)

3. The Autonomy–Trust–Competency Model (00:06:51)

4. When Autonomy Outruns Human Oversight (00:12:21)

5. Data Power And Hyperscaler Risk (00:18:51)

6. Inside The AI Leader’s Mind (00:23:01)

7. Three Skills To Lead In AI (00:30:01)

8. CHRO’s New Playbook For Adoption (00:36:21)

9. Designing Bridge Roles And Governance (00:42:21)

10. Shift From Productivity To Growth (00:48:31)

166 episodes

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