Adoption fails one person at a time
Diagnose an AI adoption blocker using the ADKAR sequence of awareness, desire, knowledge, ability, and reinforcement.
The move: diagnose the adoption gap before prescribing another training. ADKAR says change succeeds when individuals move through awareness, desire, knowledge, ability, and reinforcement. That order matters. A person cannot sustainably use an AI workflow just because they saw a demo. They need to know why the change matters, want to participate, understand the method, be able to perform it in real work, and see the behavior reinforced. Generative AI adoption exposes these gaps quickly. Awareness may be vague: "AI is strategic" but no one knows which workflow changes. Desire may be low because people fear quality, job impact, or…
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