# Local AI Models **Entity class:** Deployment architecture **Domain:** Artificial intelligence / science / political economy **Maturity:** Developed ## Definition **Local AI Models** are systems whose weights or execution can operate on user-controlled, organizational, or community hardware rather than depending entirely on a remote provider. ## Mechanism and Consequence Local execution changes the politics of control: capability can continue diffusing despite centralized policy, while privacy, ownership, customization, and compute constraints move closer to the user. ## Relationships - [[wiki/Local AI Ownership|Local AI Ownership]] - [[wiki/Compute Sovereignty|Compute Sovereignty]] - [[wiki/Personal AI Agent|Personal AI Agent]] - [[wiki/AI Access|AI Access]] ## Source Dossiers - [[research/AI Is Now So Good They Will Pay You to Quit|AI Is Now So Good They Will Pay You to Quit]] - [[research/Super Intelligence Week Index of Statements from the White House Luncheon|Super Intelligence Week Index of Statements from the White House Luncheon]] - [[research/Jensen Pushes Back on Doomers Moonshots Live|Jensen Pushes Back on Doomers Moonshots Live]] ## Simple Reminders, Quotations, and Thoughts > "The good news is that the Xi–Trump summit and Bernie Sanders’ proposal are completely irrelevant. Once local model weights are available and people can run their own models, the world will move ahead regardless of what any single person does. Humanity has always trundled forward solving problems. We will likely solve cancer in the next two years; that is an unbelievably optimistic thing to aim for. Why would anyone want to slow it down?" > **— Salim Ismail**, *MOONSHOTS Live, September 25, 2026* [[reminders/Abundance/Local AI Models Will Move Humanity Forward Despite Governments by Salim Ismail|Local AI Models Will Move Humanity Forward Despite Governments by Salim Ismail]]