Federal regulators on Thursday took a major step to ease the strain on America’s creaking electric transmission system, unanimously approving measures that will allow large energy users, particularly power-hungry artificial intelligence data centers, to connect to the grid more quickly.
The Federal Energy Regulatory Commission (FERC) directed utilities and grid operators to prioritize timely and orderly interconnections for these massive loads, responding to urgent calls from the Trump administration to prevent bottlenecks that could slow U.S. progress in the global AI race. The move reflects growing concern that outdated interconnection processes are holding back critical infrastructure at a time when data centers are reshaping electricity demand across the country.
Energy Secretary Chris Wright had pressed FERC to act swiftly, arguing that faster grid access is essential for America to maintain its competitive edge against China in AI development. Tech companies and data center developers welcomed the decision, seeing it as a practical solution to years-long wait times that have delayed projects and inflated costs.
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However, the decision has sparked unease among utilities, state regulators, and regional grid operators, who fear a loss of local control over the interconnection process. Clean energy advocates, meanwhile, worry that the changes could undermine state-level renewable energy mandates by prioritizing speed over sustainability.
Balancing Speed, Costs, and Reliability
In a unanimous vote, FERC Chair Laura Swett, a Trump appointee, emphasized that the commission was acting with ratepayers in mind.
“I know that Americans across the country are concerned about affordability, and so are we,” Swett said. “Many Americans are increasingly concerned about the interconnection of large loads, and data centers will increase their bills in that stress. As chairman, I am taking extremely seriously the mission that Congress has entrusted us to ensure that rates are reasonable and that Americans pay their fair share or less.”
Under the new order, data centers and other large users will be required to cover the full cost of any necessary grid upgrades for their connections. This “participant funding” approach aims to shield existing ratepayers from bearing the burden of new high-demand facilities. Yet experts note that the decision does little to address the deeper problem of tightening overall electricity supplies, as data center construction races ahead of new power plant development.
The action builds on an earlier FERC decision in December that allowed tech companies to effectively plug data centers directly into nearby power plants in certain cases. It also follows months of lobbying from the technology sector, which has warned that interconnection delays, sometimes stretching five to seven years, threaten to undermine massive AI investments.
Explosive Growth Meets Grid Reality
The scale of the challenge is staggering. Data centers currently account for roughly 5% of U.S. electricity demand, according to the Electric Power Research Institute, but that share could triple by 2035. In Virginia, already a major hub, data centers consume more than 25% of electricity and could exceed 40% by 2030.
More than 4,000 data centers operate in the United States today, with another 3,000 planned or under construction. Many of the newest facilities are vastly larger than their predecessors to handle the computational intensity of training and running advanced AI models.
Tech giants, including Google, Microsoft, Meta, Amazon, Oracle, OpenAI, and Elon Musk’s xAI, have all signed Trump’s Ratepayer Protection Pledge. In it, they commit to building or procuring new power generation for their facilities, covering infrastructure upgrade costs, providing backup power during emergencies, and hiring locally for construction.
Despite these pledges, challenges persist. A J.P. Morgan report last month, based on satellite imagery, found that over 60% of planned data center capacity scheduled for 2027 has not yet broken ground, with another 7% already delayed. Permitting hurdles, shortages of gas turbines and transformers, and a lack of skilled labor are frequently cited as bottlenecks.
The rapid expansion has also triggered growing local opposition. Residents in multiple states have protested new data centers, citing fears of higher electricity bills, increased pollution, heavy water consumption for cooling, and the loss of farmland or rural character. In some areas, projects have faced legal challenges and zoning battles.
Trump has pushed back against these concerns, viewing AI as essential to attracting foreign investment and preserving U.S. economic and military superiority. Earlier this month, he signed an executive order establishing a national security review process for the most advanced AI systems before their public release.
With AI compute demand growing exponentially, the United States is in a race not only against China but also against its own aging infrastructure. Delays in connecting new facilities risk ceding ground in a technology that many believe will define the next decade of economic and strategic competition.
By shifting more responsibility and costs onto the data center operators themselves, regulators hope to accelerate development while protecting everyday consumers.