Why Change Management Was Never Built for AI Adoption — and What to Do About It
When organizations deploy AI, they expect resistance to be rational. It’s not. This episode explores why traditional change management frameworks fail, why AI adoption triggers identity disruption rather than technical resistance, and what leaders can actually do about it.
**Key Insights:**
- AI threatens three core psychological needs simultaneously (competence, autonomy, belonging), creating grief rather than rational objection
- Traditional change frameworks (ADKAR, Kotter) can’t address identity crisis — they’re designed for additive change, not identity shift
- The London cab driver analogy: “Is this skill something I have, or something I am?” divides organizations permanently
- Three moves that work: name the loss before selling the gain, build human terrain maps, create grief permission structures
**Featured Concept:** Why resistance is data, not dissent — and how listening longer moves faster than pushing harder.
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