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Your AI programme is not stalling because the technology does not work. It is stalling because change management has not kept up with AI either.
For decades, change management has operated on three assumptions: that a transformation has a target state you can define, a launch moment you can communicate around, and an end point at which change can be stabilized and embedded. AI breaks all three. It reshapes work continuously, distributes accountability in ways no existing model anticipated, and moves faster than any campaign-shaped change programme can follow.
The discipline that was built to manage transformation now needs to be transformed itself.
The Change at the Speed of AI makes a two-part argument. First, that AI adoption fails in predictable, diagnosable ways - and that the failure is organizational, not technical. Second, and more fundamentally, that the change management approaches most organizations rely on were not designed for what AI demands: continuous governance, moving targets, probabilistic outputs, and adoption that never truly stabilizes.
The operating discipline at the heart of the book - the 11 Salient Actions - emerges from peer-reviewed academic research identifying the actions that recur across every successful transformation regardless of methodology. The author's previous book empirically validated these actions through real organizational transformations. This book operationalizes them for AI specifically: connecting each to the governance and trust conditions AI uniquely demands, and equipping practitioners with the tools to apply them under real organizational pressure.
What you will find inside:
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