
AI Didn’t Kill Per-User Pricing. It Exposed It.
AI did not break per-user pricing. It revealed that per-user pricing never made sense in the first place. For years, SaaS companies leaned on per-seat

AI did not break per-user pricing. It revealed that per-user pricing never made sense in the first place. For years, SaaS companies leaned on per-seat

AI buyers change pricing more than any shift we have seen in decades. Not because they drive harder bargains. Not because they automate procurement. The

AI vendors love to talk about data, but most of that talk misses the point. When AI takes over tasks that humans used to perform,

There is a fantasy running around the business world that AI is finally going to take pricing off everyone’s plate. Plug in the model, feed

Buyers do not care how many tasks your AI performs or how many tokens it consumes. They care about results. In B2B, results show up

Buyers trade money for value. That idea drives every pricing conversation, product decision, and sales cycle. Yet most buyers don’t see a product’s full value.

Pricing AI is hard because no single metric captures how value is created and how costs behave. A per-user fee feels simple but ignores automation.

You can listen to the full audio version of this blog we call — Blogcast. With SaaS, per-seat pricing was simple, predictable, and familiar to buyers.

You can listen to the full audio version of this blog we call — Blogcast. Every day a new vendor pops up promising “AI powered” this

You can listen to the full audio version of this blog we call — Blogcast. A pricing metric is really the intersection of two perspectives: how