Dependency
Cities and counties increasingly rely on commercial AI APIs for public services. Every inference call is a recurring cost, a data exposure, and a point of failure controlled by a private company with its own interests.
Public Infrastructure for the AI Age
A framework for municipal compute rights, sovereign model governance, and accountable AI policy.
The Status Quo Isn't Neutral
Opacity
When policy is implemented through a corporate model, the public has no insight into what it optimizes for, who can change it, or what recourse exists when it produces harmful outcomes.
Fragility
Vendor lock-in, pricing changes, model deprecations, and terms-of-service shifts are existential risks for public services. Government can't be architected around commercial volatility.
August 2026 source note: Moody's projected $785B in 2026 hyperscaler capex and nearly $1T by 2027; Goldman Sachs estimated global AI investment above $1T in 2026. Local capacity remains thin: CIS/StateScoop reported 80% of surveyed local governments had fewer than five dedicated security employees, while NACo continues to flag counties with nonexistent or limited IT staff.