Chart one: repeat use

The most useful adoption chart is not signups. It is the share of users who return after the first week and still use the tool when the novelty has worn off. Repeat use is where hype becomes a workflow.

Chart two: trust friction

The strongest products reduce checking time without hiding uncertainty. If a user spends more time verifying the output than doing the task manually, the model may be impressive but the workflow is not yet useful.

Chart three: abandoned pilots

Organizations should track the experiments that quietly disappear. Failed pilots reveal where integration, training, risk, and ownership were weaker than the demo suggested.

What to watch next

  • Teams reporting retained usage instead of launch-week engagement.
  • Procurement language around verification and auditability.
  • Internal AI budgets shifting from pilots to owned workflows.