AI hype isn't the opposite of real AI capability. The two coexist comfortably, which is what makes the argument so tiring — one side points at a working system, the other points at a valuation, and neither claim touches the other.

The useful reframe is to stop arguing about the market and start classifying evidence. A claim about an AI system sits at one of four levels, and each proves strictly less than people treat it as proving.

Level What it proves What it doesn't

Demo The product can do a selected task in a controlled setting Reliability on your data or workflow

Controlled evaluation Performance against a defined test set Stable production performance, or adoption

Production KPI A live workflow beat a baseline Repeatability across teams, periods, volumes

Repeatable economics The outcome survives full operating cost and controls That any other use case will work

Most procurement decisions get made on level one and defended as though they were level four.

Provider financials are a worked example…