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On July 23, 2025, the White House issued an Executive Order titled “Accelerating Federal Permitting of Data Center Infrastructure.” Released alongside “America’s Artificial Intelligence (AI) Action Plan,” the Order reflects a broader federal goal to reduce permitting delays for large-scale data center projects supporting AI workloads and national infrastructure. The reforms focus on streamlining federal environmental review and permitting processes, thereby aiming to address longstanding regulatory hurdles that have historically contributed to project delays and cost overruns.
The Order defines “Data Center Project” as a facility requiring more than 100 megawatts (MW) of new load “dedicated to AI inference, training, simulation, or synthetic data generation.” It also speaks to “Covered Components” as those “materials, products, and infrastructure” necessary to build Data Center Projects or upon which they depend.
Data Center Projects and Covered Component Projects are deemed to be “Qualifying Projects” under the Order, so long as they involve a total capital investment exceeding $500 million, require at least 100 megawatts of new electrical load, protect national security, or are a project otherwise designated by the Secretary of Defense, the Secretary of the Interior, the Secretary of Commerce, or the Secretary of Energy. The scope of environmental permitting reform efforts is limited to these categories, and early-stage screening will be necessary to confirm eligibility.
The Order emphasizes the siting of data center development on previously disturbed land, particularly brownfield and Superfund sites, as well as on federally controlled land. Specifically, it directs the U.S. Environmental Protection Agency (EPA) to identify eligible sites and to develop guidance to expedite environmental reviews, enabling project sponsors to leverage existing cleanup certifications and site infrastructure to streamline permitting and minimize potential controversy.
In addition, the Order directs the Departments of the Interior, Energy, and Defense to authorize data center construction on suitable federal lands. Projects on federal land typically require only federal permits and approvals, which avoids the need for additional lengthy state and local review processes.
The Order and Action Plan do not preempt state environmental laws and permitting requirements. Many states maintain parallel statutes that mirror key aspects of NEPA, the CWA, the CAA, and the ESA. For instance, states such as California (through the California Environmental Quality Act (CEQA)) may require independent, project-specific environmental review for discretionary projects even when a federal NEPA categorical exclusion applies. Likewise, state air and water boards and natural resource agencies retain independent authority to evaluate emissions, discharges, and biological and wetlands impacts. Additionally, local jurisdictions often impose land use regulatory requirements as part of the project approval process. As a result, state and local permitting requirements may still extend project permitting timelines despite the Order’s federal streamlining directives.
The July 2025 Executive Order and AI Action Plan signal a potentially meaningful shift in federal environmental permitting policy for qualifying data center projects. Nevertheless, most data center projects will continue to require a mix of federal, state, and local permits. The practical impact of these new federal streamlining measures will depend on a range of factors, including project location, ownership structure, environmental conditions, and the extent to which states choose to align their own permitting processes with federal reforms.
Allen Matkins will continue to monitor forthcoming federal agency implementation and guidance over the coming months to better determine how much permitting relief these federal reforms may ultimately provide for AI data centers. For further information on how these federal reforms might affect your project, please contact a member of our Land Use, Environmental & Natural Resources team.
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