The pricing question nobody's answering
What's your outcome?
It sounds like a life question. It's actually a pricing question. In an AI world, they're the same thing.
Roughly three-quarters of the U.S. economy runs on services and software. And right now, their entire pricing model is getting rewritten in real time.
The first part of the conversation is basically over. Most professionals already know AI agents are making them exponentially more productive. Tasks that used to take days now collapse to hours.
The second, much harder conversation? What does that mean for your pricing strategy?
The old models are breaking
Everyone knows the old model has to change. But how do you change the tires on a moving car while still hitting growth expectations?
Hours? Seats? Access? None of the old models hold cleanly anymore.
Keep billing by the hour while one consultant now does the work of a team? Revenue per client tanks. Raise rates to match the new leverage? Clients push back hard. Stick with per-seat licensing while one person (plus agents) now does the work of 10? Your revenue model collapses, because the client only needs one license.
Procurement teams are struggling even more: unit prices have become completely opaque. Part hours, part seats, part tokens, part "trust us."
The old models are breaking in real time.
The only number that actually matters now is the delta. What was true before you showed up. What's true after. The outcome.
The SMB advantage — and the catch
As the economy accelerates toward outcome-based pricing, where AI capability gets better by the day, small businesses have both a tremendous advantage and a real challenge.
On the surface, SMBs are better positioned. Less overhead. Less legacy pricing to protect. No CFO defending last year's ARR. They can pivot faster.
But that sounds exciting until you realize what outcome pricing actually means. You own the outcome.
Large clients have traditionally bought from bigger firms in these outcome-based models precisely because they had the balance sheet to make it right if the outcome took longer than expected, or worse, if it never materialized.
The winners in this transition won't be the firms with the best AI. They'll be the ones that learn to explain, price, and guarantee value in their clients' terms. Not theirs.
So I'll ask again, and this time hear it both ways:
What's your outcome?