AI Pricing: New Costs, Old Rules

Every SaaS company is racing to build with AI. Almost none of them have touched their pricing to match it.

This episode pulls together the founders, operators, and pricing experts actually living through that gap — pricing tokens nobody's agreed a value for, replacing seats with performance-based revenue, and figuring out whether AI is making things cheaper or just more confusing. Along the way: a real story about an AI sales call that cost a company a customer, and an AI founder's honest answer to whether any of this replaces human judgment.

These are the pricing lessons AI is forcing right now, whether you're ready for them or not.

TAKEAWAYS

AI can find pricing value you were too scared to test yourself. (George Boretos)

If you're pivoting your business to build around AI, your pricing has to pivot with it. (Marcos Rivera)

Nobody's agreed on what a token is actually worth — and your customers already know it. (Bill Wilson)

Cutting a human for AI can look like savings and still cost you the customer. (Stephen Steers)

AI costs are high today. Like every computing technology before it, they'll come down. (Cameron Barragan)

If your revenue depends on seats, AI is already coming for that model. (Chris Brisson)

Outcome-based pricing means getting paid for the result — not just for access. (Karan Sood)

Every seismic shift threatens existing business models. SaaS will survive this one too. (Rob Walling)