AI adoption is the degree to which people and processes actually use deployed AI: measured in activation, frequency, depth, and workflow integration, not licens
By activation, frequency, depth, and workflow integration, how much people and processes actually use deployed AI, not by licenses purchased. Adoption is the binding constraint of enterprise AI value: tools without real usage produce cost without return.
The consistent finding across failed programs is technology that worked and organizations that did not change. The known fix is role-specific enablement, champions networks, workflow redesign, and adoption analytics, treating adoption as a change-management problem, not a software rollout.