Public Infrastructure for the AI Age

A framework for municipal compute rights, sovereign model governance, and accountable AI policy.

$630B+ Hyperscaler capex projected for 2026 (mostly AI data centers)
~40% Of US counties lack dedicated IT staff
Inference calls. Every. Year. Forever.

The Status Quo Isn't Neutral

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.

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.