Revenue shifting from seats to usage
Gaurav Agarwal, COO of ClickUp, on how AI is redrawing the competitive map in productivity
This signals that AI work software is shifting from selling access, to selling output. In a seat based model, revenue rises when more employees log in. In a usage model, revenue rises when agents actually draft docs, triage tickets, run analyses, or move workflows forward. That fits ClickUp’s view of itself as the place where humans and agents do work together, because the biggest upside comes from agent volume, not from adding more human seats.
-
ClickUp still needs a base platform fee because companies are not only buying tokens. They are also buying the work system around those tokens, tasks, approvals, permissions, docs, and governance, which makes hybrid pricing more natural than pure consumption pricing.
-
The comparable pattern is already showing up across AI software. Zapier added pay as you go on top of subscriptions, Replit expanded monetization with usage based agent pricing, and Retool is tying agent revenue to agent hours rather than only seats.
-
Usage pricing changes the value conversation. Instead of asking how many employees need licenses, the buyer asks how much useful work the system can complete. That is why ClickUp frames ROI around faster onboarding, higher throughput, and hundreds of analyses per week, because those workflows can directly drive more consumption.
The next step is that work platforms look more like cloud infrastructure businesses, with a recurring platform layer underneath and a larger metered layer on top. As agents take on more routine coordination and execution, the winners will be the products that own workflow context, then convert that context into high volume, measurable usage revenue.