Sep 21, 2026 · 31 min · 11 segments
**Roberto Rivera** is the founder of Pricing Nerd, where he builds AI-powered pricing workflows for B2B companies. With more than 25 years in pricing and experience working alongside some of the…
Roberto RiveraGuest
Mark StivingHost
First off, I'm going to ask you the same question I asked you before I hit record.

So AI for B2B pricing, turning value into margin at scale is really how AI helps organizations all the way from establishing value and the list price to to getting to the invoice price and to ultimately getting to that pocket price and pocket margin by leveraging the power of AI, by automating certain pieces, not necessarily automating, but informing certain pieces that help the organization keep more of the value it creates into its pocket.

And so what you're doing is using AI to help companies learn how to price better or to set better prices.

So aren't you worried that AI changes so often and has so much more capability that tomorrow it's going to be different and your book's going to be obsolete?

I do worry about that, but not necessarily for the changes of the technology.

It's more worry about how am I making sure I am utilizing those changes in the best way possible.

So a big way of thinking about AI for purposes of setting better prices, of defending value more effectively, you have to harness it.


the Fable 1 version of Cloud, that context window, that information that enables the AI to make better decisions because it knows your business better at a deeper level, I don't think that changes.

I don't think that changes regardless of how quickly that technology changes.

There's some issues with LLMs being able to remember what you've taught them.

So if they can remember things better and more clearly, those are going to be the things that I'm going to try to stay on top of and try to harness as much as I can.

So I love the concept that says what we're really trying to do is teach AI of some sort about our business, right? What our context is, what our business is.

Let me toss out a theory that I've had of AI recently, and I'd love to hear your thoughts since you wrote this book.

And that is, you could go ask Claude today, hey, what price should I charge? Right.

First off, I'm going to ask you the same question I asked you before I hit record.

So AI for B2B pricing, turning value into margin at scale is really how AI helps organizations all the way from establishing value and the list price to to getting to the invoice price and to ultimately getting to that pocket price and pocket margin by leveraging the power of AI, by automating certain pieces, not necessarily automating, but informing certain pieces that help the organization keep more of the value it creates into its pocket.

And so what you're doing is using AI to help companies learn how to price better or to set better prices.

So aren't you worried that AI changes so often and has so much more capability that tomorrow it's going to be different and your book's going to be obsolete?

I do worry about that, but not necessarily for the changes of the technology.

It's more worry about how am I making sure I am utilizing those changes in the best way possible.

So a big way of thinking about AI for purposes of setting better prices, of defending value more effectively, you have to harness it.


the Fable 1 version of Cloud, that context window, that information that enables the AI to make better decisions because it knows your business better at a deeper level, I don't think that changes.

I don't think that changes regardless of how quickly that technology changes.

There's some issues with LLMs being able to remember what you've taught them.

So if they can remember things better and more clearly, those are going to be the things that I'm going to try to stay on top of and try to harness as much as I can.

So I love the concept that says what we're really trying to do is teach AI of some sort about our business, right? What our context is, what our business is.

Let me toss out a theory that I've had of AI recently, and I'd love to hear your thoughts since you wrote this book.

And that is, you could go ask Claude today, hey, what price should I charge? Right.
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