AI Sovereignty Isn't a Government Problem. It's a Question in Your Next Term Sheet.

AI sovereignty gets talked about like it's a government problem. Whose models, whose data centres, whose rules.

For a founder in a regulated market, fintech, healthtech, insurtech, legaltech, defence, govtech, energy, it's something narrower and more immediate. It's a question your buyer will ask you, and most founders haven't built an honest answer yet.

You built on GPT, or Claude, or Gemini. That was the right call, nobody serious builds a foundation model from scratch at seed stage. But a regulated buyer doesn't just ask if your product works. They ask what happens to it if the thing underneath it changes.

Two live examples, and I'd bet the same pattern is showing up wherever you sell, even where nobody's named the question yet.

The National Commission into the Regulation of AI in Healthcare, established by the Medicines and Healthcare products Regulatory Agency, published its recommendations four days ago. It recommends manufacturers with a dependency on a general-purpose foundation model be expected to disclose that dependency, the risks it carries, and a continuity plan, at regulatory submission and at procurement. Not yet law, a government response is still pending, but a named answer the system is now on the hook to give.

The government's new Advisory AI Growth Lab sandbox for legal services, which the Solicitors Regulation Authority has joined alongside three other regulators, looks like the same opportunity in a different coat, coordinated regulatory access most founders never get this early, with an official disclaimer that participation does not constitute regulatory approval, endorsement, or exemption from any obligation. Proximity to a regulator, mistaken for approval from one.

Different sectors. Same shape. A regulator, a procurement team, or a risk committee is starting to ask the sovereignty question at founder level, not government level.

This is what sovereignty means at your level, whichever regulated market you're in. Not who controls the model globally. Whether you can tell your buyer, in writing, what survives if your model provider changes its terms, deprecates the version you built on, or gets swept into whatever the geopolitics of this does next. If you can't answer that, you don't have a platform dependency risk in theory. You have one a buyer or risk committee is increasingly entitled to ask about, whether or not your sector has written the exact question down yet.

The founders caught out won't be the ones who built on a foundation model. Everyone did. It'll be the ones who never wrote down what happens next, because the question never came up until it mattered most, sitting across from a buyer's risk committee.

I map this pattern, and others, across the assumptions AI founders carry untested in regulated markets: https://lnkd.in/gZgRmHgu