Former EPA officials counted 30 federal moves that put AI growth ahead of pollution controls

The group says pollution can come from generators and turbines at a campus and from distant power plants serving new electricity demand. A separate modeled study estimated $11.7 billion to $20.9 billion in annual public-health costs by 2028. The estimate depends on the study's scenarios. The Verge reported the findings Saturday. EPA has described its own permitting changes as a way to speed domestic AI infrastructure while protecting health and the environment.

The 30-action count and policy judgment come from an advocacy group of former EPA officials, not a current agency finding. The health figures are scenario estimates from a separate study, not observed deaths or medical bills. The authors say their model does not measure the additional effect of the 30 actions. EPA argues that its planned rules can reduce delays while retaining environmental protection.

The useful evidence is project-level. Watch emissions permits for on-site generation, power-plant operating extensions, air-monitoring data and public-health studies near new loads. EPA can publish its own analysis of how the rule changes affect emissions, participation and enforcement. That would replace a choice between two broad policy claims with agency evidence.