FERC issues major large-load interconnection order; AI data centers get faster grid access

The Federal Energy Regulatory Commission (FERC) issued a decisive order on large-load interconnection, streamlining how AI data centers and other massive power users connect to the U.S. interstate transmission system. The move fulfills a June 2026 deadline set by Energy Secretary Chris Wright and implements a pro-growth framework that cuts study times—including options for 60-day study periods for flexible loads—and allows large customers to co-locate generation with their load to bypass congested transmission lines.

FERC's framework shifts cost allocation: instead of socializing infrastructure upgrade costs across all ratepayers, large load operators must now bear more of their own costs, paying for grid upgrades directly. The order builds on earlier decisions like a December 2025 directive to PJM Interconnection (the nation's largest grid operator) to establish transparent rules for co-located load-generation pairs. Southwest Power Pool received similar approval for its High Impact Large Load (HILL) program. The 20 MW threshold defining 'large loads' is modest by modern data center standards, affecting a wide swath of AI infrastructure.

For architects deploying data centers or other high-power compute facilities, this order is transformative: faster interconnection timelines reduce time-to-revenue, but only if you can fund your own transmission upgrades and co-locate generation. States like North Dakota, Mississippi, Louisiana, and Virginia have already seen benefits from grid-scale AI facility deployment—electricity rates can drop when fixed grid costs spread across higher consumption. FERC's federal framework now opens those benefits to every region simultaneously, contingent on willingness to fund infrastructure and manage grid flexibility.