Your company's memory now belongs to someone else

Why the popular “the moat is the workflow, not the model” thesis undersells the actual mechanism of AI agent lock-in

A reusable framework for telling which AI purchases are reversible software decisions and which are effectively permanent

Why AI vendors are racing to embed agents broadly and cheaply instead of monetizing hard on price, and what that reveals about their real business model

Concrete contract and governance changes to make before deep agent embedding, not after

Where this dynamic creates fresh exposure for incumbents and openings for challengers

AI agent lock-in is not primarily about data portability or contract terms. It’s about tacit institutional judgment the agent accumulates, which was never written down and can’t be fully retrieved.

This kind of lock-in is invisible while it forms and unbounded once it exists, unlike SaaS switching costs, which are finite and can be priced into a migration budget.