No Brakes, No Corner: Why Early AI Cancellation Is Governance Working
Gartner predicts over 40% of agentic AI projects will be cancelled by 2027. The difference between a cheap failure and an expensive one is governance.
A race car with no brakes doesn't go faster. It just can't survive the first corner.
Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027. Not because the model failed. Escalating costs, unclear value, weak governance.
Most people read that number as a failure rate—I read it as a timing question.
Cheap Failures vs. Expensive Failures
Some of that 40% gets cancelled in month two, after a modest pilot budget. The rest gets cancelled in month fourteen, after a real production spend, a steering committee slide deck, and a quiet conversation about whose name is on the business case.
Cancelling early isn't the failure. It's the brakes working exactly as designed.
There is a cheap failure and an expensive failure. The difference was never the idea. It was whether anyone had a governance checkpoint built in before the spend got real.
When does your organization actually find out an AI investment isn't working—month two, or month fourteen?