Change Management for AI
AI adoption fails most often at the human layer, not the technology layer. Here's how to manage the transition deliberately.
The technology is rarely the hard part. The hard part is the conversation between a manager and their team on a Tuesday morning when the AI initiative lands in the day-to-day reality of people who have things to do, concerns about their jobs, and limited patience for another transformation programme that may or may not deliver. AI change management is different from general change management in important ways — and leaders who apply standard change playbooks without adaptation tend to get standard change management outcomes, which are not good.
This module is part of AI~Leadership
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