AI adoption
What is AI adoption?
How widely and deeply people actually use AI in their daily work, from first trials to habit. Tools installed is not adoption. Tools relied on is. It's as much about behaviour and trust as about technology, which is why the firms that scale successfully invest three to four times more in change management than the rest.
Why it matters
Adoption is the step that spending plans routinely forget. A company can buy licences for everyone and see almost no change in how work gets done, because a tool on the desktop is not yet a habit in the workflow. People fall back on the method they already trust when they are busy, and a new tool has to beat that default before anyone keeps using it. Trust is the hinge. Staff who have watched the tool be confidently wrong once will quietly stop reaching for it, and no training deck wins them back. Real adoption shows in behaviour, not in login counts, so the honest measures are things like tasks genuinely done with the tool rather than seats activated.
In practice
A firm rolls out an AI writing assistant and reports adoption by seats activated, which look excellent. A closer look shows most people tried it twice and returned to their old way of working. The teams that stuck with it had a manager who reworked the actual process around the tool and answered the “why bother” question with a concrete, visible time saving.
