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AI's real bottleneck is the power grid: FERC makes data center access a "national priority"

2026-06-21 · 2 min read

The next bottleneck for AI scaling is not the model or the chip but the power grid. On June 18, 2026, the US Federal Energy Regulatory Commission (FERC) ordered six regional grid operators to propose reforms to speed AI data centers' access to the grid. FERC Chair Laura Swett called it a "national priority." ASAP summarizes the result from the primary source.

What it ordered

FERC's order is a push for operators to overhaul grid-access procedures, fast. On June 18, 2026 it ordered six regional grid operators to defend the current interconnection framework or propose faster reforms. The aim is to connect AI data centers to the grid sooner.

Why now

The backdrop is the explosive power demand of AI data centers. Even with models and chips ready, a data center cannot run if it is not connected to the grid. With interconnection queues backed up for years, the grid has become the real bottleneck for AI scaling.

Bypassing the normal process

FERC's move is a deliberate bypass of the years-long normal rulemaking process. Chair Laura Swett framed the issue as a "national priority" and stressed speed. A regulator skipping the usual process shows how urgent the matter is.

The bottleneck after the chip

The constraint on AI scaling is shifting from the model to the chip to power. Securing enough chips is useless if grid access is blocked. The battleground of the AI race is moving down to physical infrastructure, especially power.

What it means — the AI race is a power race

The order formalizes that AI competition is competition over power infrastructure. Grid access decides a data center's speed as much as model performance. Regulation and infrastructure are becoming the next front of AI scaling.

Wrap-up

AI's next bottleneck is the power grid, as the June 18 FERC order makes clear. FERC ordered six grid operators to speed data center access, bypassed the normal process, and framed it as a national priority. The weight of the AI race is moving beyond the model and the chip to power.

Source: ASAP summary of reporting on the US Federal Energy Regulatory Commission's order (June 18, 2026; six regional grid operators, faster AI data center access, Chair Laura Swett).

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