Most AI products are priced wrong. Some charge too little. Many charge for the wrong thing. A few are pricing in a way that will hurt them as usage grows.
It’s easy to see why. AI costs money every time someone uses it. Customers struggle to put a number on the value. And the market changes every few months. So teams copy a competitor, pick a per-seat price, or bolt on credits and hope it works.
In this session, Mark Stiving walks through the most common ways AI pricing goes wrong and why each one happens. You’ll see:
– Why cost-based pricing feels safe and quietly limits what you earn
– Why customers may not see enough value to justify your price
– Why the pricing metric you picked may work against you as adoption grows
– How to spot which of these problems you have today
Mark is a pricing expert, author of Selling Value and co-author of Pricing AI. Bring your questions. He’ll save 15 minutes for them.
