The AI Urgency Shield: Deregulation and the Cost of Data Center Speed

The race to establish the United States as the global leader in artificial intelligence is creating a friction point between industrial speed and public safety. As first reported by The Verge, the Trump administration has pivoted toward a strategy of aggressive deregulation to accelerate the construction of AI data centers and chip factories—a move that former regulators warn is treating public health as a secondary concern.

EPA Administrator Lee Zeldin has explicitly stated his objective is to make America the "AI capital of the world" through deregulation. This mandate has manifested in the rollback of dozens of rules, alongside significant cuts to funding and staffing at the U.S. Environmental Protection Agency (EPA). In July 2025, President Trump introduced an "AI Action Plan" to expedite permitting for chip factories and data centers by streamlining regulations governed by the Superfund law, the Clean Water Act, and the Clean Air Act. Tyson Slocum, the energy program director at Public Citizen, told The Verge the plan utilizes emergency powers to provide massive exemptions for fossil fuel infrastructure and data centers.

This policy shift has tangible environmental consequences. The Verge reports that the administration has laid the groundwork for new gas projects—including power plants built specifically for tech companies and on-site turbines—to feed AI energy demands. Furthermore, the production of advanced chips is reviving the use of "forever chemicals" that accumulate in human bodies and the environment.

The Environmental Protection Network (EPN), an organization of EPA alumni, recently released a report identifying 30 federal actions since January 2025 that increase health risks associated with data center pollution, 17 of which specifically target data centers or mention AI. Lynn Goldman, a pediatrician and former EPA assistant administrator, noted that the EPA is prioritizing industry needs over the vigilance required during a revolutionary industrial buildout.

The human cost is significant. The EPN report cites a study by Caltech, UC Riverside, and the Rochester Institute of Technology finding that AI-related air pollution could result in over $20 billion in public health costs and up to 1,300 premature deaths by 2028. Marc Boom, EPN’s senior director of public affairs, argues that a polluting buildout is not inevitable and that the EPA should be actively measuring exposure levels.

Internal dissent persists; The Verge reports that last year, hundreds of current EPA employees sent a public letter to Lee Zeldin, warning that his leadership would increase risks to public health rather than protecting communities from hazardous chemicals and unsafe drinking water.