Why AI adoption fails
Licences nobody opens
The seats keep renewing while the logins stop. AI spending can outlive AI use by years.
How it happens
Procurement produces easy numbers, while adoption is harder to measure. Companies track the purchase and assume the usage follows. The software then costs as much as a strategy but works like a subscription that nobody remembered to cancel.
What it costs
At typical per-seat prices, a 200-person company with 15 percent weekly usage wastes tens of thousands each year on software whose main effect is reminding people that the AI initiative stalled.
A thirty-second check
Add one comparison to the quarterly spending review for each tool, showing seats paid against weekly active users. The figure needs no commentary. Track the figure each quarter, and the trend will either rise or settle the renewal decision.
Who is most exposed
Companies are most exposed when spending is approved centrally but the tools are used locally. The person signing the renewal never sees the usage, and the gap can continue for years because nobody owns the comparison.
None of this is fatal. Every one of these patterns has been reversed by companies that named it out loud, assigned it an owner, and gave the fix one quarter of honest attention.
Weekly active use per seat is the honest measure. Review the number each quarter with the same care as any other expense. A low figure is useful evidence, not a source of embarrassment.
What prevents it
A capability-first approach changes the ratio because training creates demand for tools instead of leaving tools to wait for demand. Clients routinely reduce licence spending during phase one. CrossGen has eliminated over $1M in client technology costs by training first.