What happens when the SaaS pricing model meets the inference treadmill. The bill arrives before the seat does.
The SaaS playbook broke.
Per-seat pricing is dying.
Build the operating system.
What happens when the SaaS pricing model meets the inference treadmill. The bill arrives before the seat does.
Negative unit economics on a flagship AI feature. Margin compression is the new churn.
Most AI initiatives die in PoC. Not because the model failed — because nobody priced the data prep tax.
By the end: you can defend why AI PM ≠ SaaS PM, kill bad initiatives before they eat a quarter, and put a unit cost on the first page of every PRD.
From PoC to production with positive unit economics — and a board narrative that survives scrutiny.
Self-improving products. Multi-model orchestration. The golden quadrant where service becomes software.
The main thirty stay vendor-neutral on principle. These companions answer the platform, vendor, and career questions your team will actually ask — each one a decision framework, not a reference doc. Together they are the operating manual the main thirty imply.
The best AI PMs ship faster because they treat pricing, costs, and evals as part of the product — not afterthoughts.