Is your AI pricing already obsolete? For 1 in 3 companies, the answer is yes. Here’s how to find out and what to change before it costs you.

Most AI companies price by copying a competitor. It’s the most common method in the market and one of the worst-performing ones.

The result: margins that compress faster than expected, pricing that doesn't reflect how the product actually delivers value, and billing infrastructure that breaks the moment you want to change anything.

The market has moved past "should we go usage-based?" The question now is: what do we test, how do we know if it worked, and what's unique about our business?

In this session:

• Find out where you are and what it’s costing you: The pricing maturity stages, with the revenue gap at each one

• What the industry leaders are doing: A teardown of real pricing models across AI-native, AI-first, and SaaS companies, and what translates into durable margin

• How to pick your model: Seven business factors that determine what you should price on, and when to make the move