Most AI coaching results are software platforms selling chatbots. A PLOS ONE study found that chatbot coaching works for generic goal-setting but fails for strategic business decisions. CEOs need a human who has built a company, shipped code, and understands the pressure of leading through AI transitions.
Most AI steering committees fail because they are designed to discuss, not decide. ISO/IEC 42001 requires clear decision-making authority over the AI lifecycle, yet only 35% of enterprises have formal AI governance today. The difference between effective and ineffective committees is not expertise - it is authority.
Change management for AI is not about technology rollout. PMI research on the 10/20/70 framework shows 70 percent of AI transformation effort should focus on people, not technology. Here is how to build an AI change management plan that addresses identity shifts, competence anxiety, and the human side.