The Reservoir, Not the Pipes
Boards are starting to treat AI model selection like a supply-chain decision. Which provider, which jurisdiction, what happens to the data after inference. The instinct is right. The framing stops one layer short.
Model origin is not data destination. An open-weight model running on your own infrastructure moves nothing anywhere. A consumer chat product may learn from everything you type. The provider's flag matters less than the architecture you run it in.
Which points at the question the procurement conversation keeps missing. Not "which model processes our work?" but "where does the understanding of our business accumulate afterwards?"
Run everything through a rented model with no layer of your own, and the distilled intelligence of your operation compounds in someone else's infrastructure. You pay for the reasoning and surrender the record.
The fix is architectural, not contractual. Intelligence and memory should be separate systems. The model reasons. A layer you own remembers. Then model selection becomes what it should have been all along: a routing decision. Swappable per task, per jurisdiction, per price.
Vendors change. Prices change. Jurisdictions change. The accumulated intelligence of your business should not move with any of them.
Own the reservoir. Rent the pipes.
Context Windows Close. AI Forgets Everything. Your Work Should Never Start From Zero.
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