AI Safety as Control of Irreversibility: A Systems Framework for Decision-Energy and Sovereignty Boundaries

ArXi:2605.01415v1 Announce Type: new Recent AI systems compress the distance between capability growth and capability deployment. Earlier high-risk technologies were slowed by capital intensity, physical bottlenecks, organizational inertia, and specialized supply chains. By contrast, AI capabilities can be copied, invoked, embedded in workflows, and scaled across institutions at low marginal cost. This paper argues that declining deployment friction changes the safety problem at its root.