Traditional SaaS pricing models break when applied to AI products. AI both unlocks new opportunities for value capture (e.g., unlike traditional SaaS, AI software delivers results directly rather than enabling users to deliver them) and creates substantial risks (e.g., high variable costs, usage spikes).
Pete Giordano (Scale EIR, Google) created this AI pricing cheat sheet by distilling hours of frameworks and insights into a practical decision tree that you can use to think through your optimal AI pricing scheme.
Whether you’re building an AI-native product or adding AI features to your existing platform, this cheat sheet will help you:
- Align your pricing with how customers actually measure value
- Structure hybrid models that scale revenue with customer success
- Implement guardrails that protect your margins without limiting growth
Download the full PDF below.