________________________________________________________________________________________________ Behnam Zakeri
A large AI data center can change consumption rapidly, and the grid is gaining experience managing a load that big behaving that way
the 20th century, factories and industrial sites demanded electricity, but the grid had time to accommodate them and develop the infrastructure to meet demand. AI compute demand breaks that pattern in two ways: it is uncertain, because nobody knows how much will be needed in five or ten years, which leaves both industry and grid operators speculating; and secondly, it is urgent, as developers and hyperscalers want electricity as fast as they can get it, and the grid is
expected to deliver the capacity at the same speed, which is not usually the case. The shape of the load is unfamiliar too. A large AI data center can change consumption rapidly, and the grid is gaining experience managing a load that big behaving that way.”
The instinct to treat every data center as a problem is where Behnam pushes back, although he is cautious not to overcorrect this assumption.“ Data centers are not naturally positive or negative for the grid,” he says.“ At one end, jurisdictions could wave the facilities through, letting them soak up spare capacity in areas already under strain. At the other end of the scale, highly constrained regions have imposed moratoria or severe restrictions on new connections outright, as the Dublin area has done.”
While there are some very serious concerns around pollution, water and land use, effects on local communities, and power price
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