The Economics of Owning Intelligence

Begin with the shape of the obligation, because the shape is the problem. When you rent inference from a third party, you are not buying a tool. You are buying the right to keep paying for a tool, indefinitely, at a rate the seller sets and can revise. Every prompt your staff send, every document your systems summarise, every automated decision your pipelines make, draws down a meter that resets to full the next morning. There is no point at which the cost falls to zero becau

An asset is something you possess, control, and can account for over a useful life. For intelligence to become an asset rather than a subscription, three things have to be true at once. The capability has to run on hardware you own, so that there is no meter and no external dependency. The models have to be ones you hold and can keep running, so that no one can retire them from under you. And the whole arrangement has to be auditable and governable by you, so that ownership i

A fair comparison has to count everything on both sides over the same horizon, because anything less flatters whichever option you started out preferring. On the owned side the costs are the hardware you buy, the power and cooling to run it, the space it occupies, the staff time to maintain it, and the depreciation of the equipment over its useful life. On the rented side the cost is the usage charge, repeated for every period, for as long as you need intelligence, with no te