On the same news cycle, two stories about AI infrastructure landed in adjacent tabs and refused to stay separate. Federal regulators gave AI data centers a government-mandated fast lane to the electrical grid, prioritizing interconnection for large energy users. Simultaneously, Amazon is reportedly threatening termination for engineers who testified at Seattle City Council hearings in favor of a data center moratorium. The supply chain of AI is being built at speed, and the people building it are being told to stay quiet about the cost.
The Infrastructure Politics of Scale
FERC's ruling, backed by fast-track regulatory approval, solves a queue problem without touching a supply problem. Connecting faster to a grid that cannot generate enough electricity is a political gesture, not an engineering solution. It signals to markets that Washington is pro-AI-infrastructure without doing the harder work of actually expanding generation capacity. The fast lane is a press release that rewires the country.
Dissent as a Disciplinary Event
The Amazon situation is structurally more revealing. The engineers in question disclosed their employer affiliation before testifying, which is itself a form of radical transparency. Amazon's response, disciplinary review, converts civic participation into an HR event. This mirrors a pattern identified across labor research: A 2022 paper in the Industrial and Labor Relations Review by Kochan and colleagues found that tech sector workers face uniquely diffuse retaliation mechanisms precisely because their work is classified as skilled and individual, making collective action legally murky. The FERC ruling and the Amazon firing threat are two faces of the same coin: infrastructure built by people who are not supposed to have opinions about it. Brewster Kahle's argument for public AI has never felt more pointed. When the infrastructure is private and the regulatory apparatus is permissive, the only friction left is the individual worker willing to testify.