AI rollouts rarely fail with a warning bell. Dashboards keep showing activity, licenses stay renewed, and adoption numbers climb while actual return quietly stalls. The sooner leaders spot the gap between AI activity and AI impact, the easier it is to avoid a rollout that turns into a sunk cost.