we_are_coded.by CODE · The world, decoded
БГ
Infra

Power, not chips, became AI's bottleneck, and the money knows it

National GridInfra

$1.75 billion. That's what National Grid (a major utility) is putting into a power developer building capacity right next to AI data centers. The goal is to skip the slow wait for grid interconnection.

In short
  • National Grid is putting $1.75 billion into a power developer building capacity next to AI data centers.
  • The model is behind-the-meter generation, bypassing the slow wait for grid interconnection.
  • AI's bottleneck shifted from chips to power availability.
Checked on3 July 2026Responsible editorTsvetelin IvanovHow we workMethod · Corrections

National Grid announced a $1.75 billion investment in a power developer building generation capacity right next to AI data centers. The reason is simple - waiting for grid interconnection takes years, and data centers want power now.

The facts: the model is behind-the-meter power, generation right at the consumer, bypassing transmission bottlenecks. Projects are anchored with long-term offtake agreements from big tech clients. AI's bottleneck is no longer chip supply - it's megawatt supply.

Here's the trick - the problem moved. Yesterday it was a GPU-shortage. Today it's a megawatt-shortage. A chip ships in weeks, a power plant takes years. That's why money is now chasing power. Building AI infrastructure today? Ask about megawatts first. Whoever hooks up their own generation next to the servers holds the real bottleneck. That's it.

The visual is generated code art. No third-party images.
Follow usFacebookLinkedIn
Sources
Official primary source
→National Grid - "National Grid Ventures to invest $1.75bn to accelerate power solutions for U.S. data centers and AI" (press release, July 1, 2026)
Media confirmation
→Data Center Knowledge - National Grid Joulent
Original: https://wearecoded.com/en/articles/national-grid-ai-power.html
ShareFacebookXLinkedInTelegramWhatsApp
← Back to all news