Ajit Ghuman is the co-founder of Monetizely, former VP of Product at Segment, and author of Price to Scale.

In this episode, Ajit breaks down one of the biggest pricing challenges AI companies are about to face: what happens when software no longer supports employees — but starts replacing them entirely?

If your company is building, pricing, or monetizing AI products, this episode will change how you think about per-seat pricing, buyer psychology, and the future of SaaS monetization.

Why you have to check out today's podcast:

Understand why per-user pricing may stop working as AI agents increasingly replace human workflows inside software products.
Learn Ajit Ghuman's 3-part "Agentic Pricing Spectrum" for evaluating AI products based on autonomy, operational scope, and output-to-cost dynamics.
Discover why buyers are suddenly comfortable with tokens, credits, and bundled AI pricing — even when they don't fully understand what those units actually mean.

"Unless you understand what your market is, who your buyers are, what do they want... it's the only thing that I start with when I do any project."

– Ajit Ghuman

Topics Covered:

02:02 – Why Pricing Became the Most Direct Link to Customer Value. How pricing became the clearest connection between products, value, and business strategy.

06:29 – The AI Pricing Problem Nobody Has Fully Solved Yet. Why AI is forcing SaaS companies to rethink seats, tokens, outcomes, and margins.

07:38 – "Zero Human Companies" and the End of Per-User Pricing. Ajit explores a future where AI agents replace entire job functions — and asks the terrifying question: what happens when there's no user left to charge for?

12:30 – Why Cursor Still Charges Per User (For Now). A fascinating breakdown of AI coding tools, human "anchors," and why most AI products still can't fully move to outcome-based pricing.

16:51 – The Coming AI Commoditization Wave. Why Ajit believes agentic AI companies could rise — and collapse — dramatically faster than traditional SaaS businesses.

23:07 – Why Buyers Suddenly Accept Tokens, Credits, and Weird AI Pricing. Ajit explains how ChatGPT normalized token-based pricing — even though most buyers still don't fully understand what they're paying for.

26:00 – The Real Reason AI Pricing Feels So Chaotic Right Now. Inference costs are dropping, users are disappearing, and pricing anchors keep shifting faster than companies can adapt.

29:35 – The One Pricing Principle That Still Matters in the AI Era. Despite all the chaos around AI monetization, Ajit says successful pricing still starts with deeply understanding your buyers and their problems.

Key Takeaways:

"The anchor is still the human… but the moment the human disappears, per-user pricing starts breaking." – Ajit Ghuman

"Agentic AI may compress 20 years of SaaS evolution into just a few years." – Ajit Ghuman

People / Resources Mentioned:

Cursor — Used as a real-world example of current AI pricing models
Harvey AI — Referenced as an example of high-value AI transformation inside the legal industry
Anthropic — Mentioned in relation to inference models powering AI tools
OpenAI — Referenced throughout the discussion on tokens and AI pricing behavior
Salesforce — Discussed in relation to potential future shifts away from per-seat pricing
Zoom — Used as an example of changing pricing priorities during growth stages

Connect with Ajit Ghuman:

Website: https://www.getmonetizely.com/
LinkedIn: https://www.linkedin.com/in/ajitpalghuman/
Email: ajit@getmonetizely.com

Connect with Mark Stiving:

LinkedIn: https://www.linkedin.com/in/stiving/
Email: mark@impactpricing.com