25% of enterprises just killed their AI projects. Not because AI failed. Because nobody knew what it cost.

One in four companies delayed or cancelled an AI initiative last quarter.

Not because the technology didn't work.

Because the bill arrived and nobody could explain it.

62% of organizations say unexpected AI costs materially altered a business decision this year.

40% required board-level escalation.

33% implemented emergency spending freezes.

Only 11% of companies can forecast AI spending within ±10%. Down from 15% last year.

89% miss their AI forecast by double digits or worse.

This is not a technology problem. This is a financial governance crisis.

Every engineering team is running 2.4 AI coding tools on average. 98% use them. Only 42% include the costs in their AI reporting.

Your shadow AI spend is larger than your visible AI spend. And neither number is connected to business outcomes.

Gartner now recommends "AI unit economics" — linking token consumption to measurable outputs. Not tracking cost. Tracking value per dollar.

If your CFO cannot decompose your AI spend by workflow, by team, by outcome — you are flying blind into your next budget cycle.

Audit your AI cost attribution this week. If you cannot connect token consumption to business value, you are not running an AI strategy. You are running a donation program to your cloud provider.