Local AI
Running capable AI on hardware you control is newly practical: open-weight models, cheap inference stacks and consumer GPUs put private, offline AI within reach of councils, firms, schools and households. The UK conversation still defaults to renting US frontier APIs, so the questions that matter here go unasked: what should run locally, who maintains the reference deployments, and what national capability exists if the rented option is withdrawn or repriced. This domain collects the gaps in that local capability. It starts small, seeded from the AI-crisis dossier, and grows as entries are suggested and verified.
The gaps (2)
Sovereign compute is rented: no legal guarantee of access to US-controlled infrastructure on UK soil
The data centres are in Britain. The off switch is in Washington.
No national open-weight model capability as a strategic hedge
If American AI access ever ends, Britain has no plan B. Open models could be one.
Who is already here: key actors (0)
Funders active or plausible here (0)
Policy notes
No UK policy instrument currently distinguishes locally run AI from API-consumed AI; procurement guidance, data-protection guidance and the compute roadmap all treat AI as something bought as a service.