Key takeaways
- Traditional SaaS gross margins of 70%+ are compressing towards 50% for AI-native businesses. Inference cost is variable. Every API call has a real, scaling cost.
- There are three P&L profiles: AI-Augmented, with a target margin of 80%; AI-Enabled, with target margins of 60% to 79%; and AI-Native, with target margins of 50% to 60%. Most SaaS companies today are AI-Augmented.
- AI costs often hide in hosting, software subscriptions, R&D, and infrastructure. If COGS is wrong, every downline metric is wrong.
- GitHub Copilot moving to usage-based billing on June 1, 2026 is the canary. Flat AI subscriptions are under pressure when heavy users consume disproportionately high amounts of compute.
- Four board questions are coming. This guide tells you how to be ready.
Your SaaS P&L was built for a world where COGS was mostly fixed in the short run. AI changed that.
For two decades, SaaS finance teams operated on a comfortable model: hosting and infrastructure scaled gradually...