When Seats Stop Measuring Value

Seat-based pricing works naturally when value is related to the number of people using a tool. But many AI features do not simply improve a person’s workflow; they perform tasks that previously required people.

As a result, the number of users may become a poor measure of the economic benefit delivered by a product. One user operating an autonomous workflow can create far more value—and consume far more compute—than dozens of occasional users.

Three competing objectives

A good monetization model must reflect customer value, protect unit economics, and remain predictable enough for buyers to understand. Pure usage pricing can address cost exposure but make budgeting harder. Flat subscriptions are simple but can encourage unbounded consumption. Credits and hybrid models offer middle ground, with their own design trade-offs.

Start with the value metric

Before choosing subscriptions, credits or outcomes, define the activity or result that customers actually value. Then test the metric against cost variability, purchase behavior and operational simplicity.