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Grid connection & energy supply

A big AI data centre needs a large, steady supply of electricity, and getting connected to the grid can take years, so power, not chips, often decides where and when one gets built.

Layer 1 · Physical & Energy · Build and run time · Draft, awaiting expert review, reviewed 2026-10-02

Read first: Power & cooling for AI data centres.

D1 · StoryFor young children and total beginners

Guess first: which takes longer, building the data centre or connecting its power?

A giant AI building needs as much electricity as a town.

The wires, power stations and big transformers that bring it there take years to build.

So companies often have to wait for power, or build where spare power already exists.

Like: Building a new house is quick. Waiting for the water main to reach it is slow.

D2 · PictureFor curious beginners

A data centre asks the local grid operator for a connection of a certain size. The operator studies whether the lines and substations can carry it, and often finds that new transmission lines, substations or transformers are needed first.

Requests join a connection queue. New power stations queue too, so both the supply and the demand side can wait years. Grid parts such as large transformers have their own long lead times.

That is why builders hunt for sites with spare grid capacity, add on-site generation, or agree to cut their load when the grid is stressed. A building can be finished, and chips delivered, long before the power is ready.

From request to power on

  1. Request: ask for capacity
  2. Queue: wait your turn
  3. Studies: can the grid cope?
  4. Upgrades: lines, transformers
  5. Power on: racks can run

Like: Building a new house is quick. Waiting for the water main to reach it is slow.
Where it breaks: A water main serves one street. A grid is one shared, balanced system: a big new load can affect prices and reliability for everyone on it, which is why operators study each request so carefully.

D5 · FrontierFor experts

Open questions: how fast grids can add transmission, whether flexible data centres that slow down at peak times can connect sooner, and who pays for grid upgrades.

Forecasts of data centre demand vary widely, and many requests in connection queues are speculative and never get built, which makes planning hard for grid operators.

Sources

  1. IEA: Energy and AI, executive summary (2025)
  2. IEA commentary: Overcoming energy constraints is key to delivering on Europe's data centre goals (2025-11-16)
  3. Berkeley Lab: Queued Up, 2026 Edition (US interconnection queues) (2026)
  4. Berkeley Lab: 2024 United States Data Center Energy Usage Report (2024-12-19)