Why most pilots stall before P&L impact

A pilot can work — produce faster output, get positive user feedback, survive a demo to leadership — and still never show up in a P&L. The gap between those two states is where most of this category's spend currently sits, and it is a measurement gap as much as a technology one.

Deloitte's 2026 research on rising AI investment describes payback periods running longer than boards expected, even as budgets keep growing. Read alongside MIT's reporting on the "genAI divide," a pattern emerges: the pilots that stall are disproportionately the ones with no defined accountable owner for the outcome, and no baseline measurement taken before the AI tool was introduced. Without a baseline, there is no way to state a payback period at all — only a vendor-modeled estimate of one.

This is the same gap this site's vendor directory keeps surfacing from the supply side: verified AI-ROI vendors overwhelmingly measure cost, because cost is verifiable against a bill. Outcome requires a baseline and an accountable owner that most organizations have not assigned before the tool is already in production.