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AI data centers are challenging a core assumption about the grid: that large loads operate predictably. The issue is not only how much electricity these facilities require, but also how they behave during disturbances.

This risk became reality in 2024, when dozens of data centers in Northern Virginia dropped off the grid in a single event, instantly removing roughly 1,500 MW of load, according to Reuters.

In this instance, grid operators moved quickly to stabilize the system and avoid broader outages. However, regulators have warned that the grid is not designed to withstand the sudden loss of such large blocks of demand.

The US is experiencing its fastest sustained growth in electricity demand in decades, with the Energy Information Administration projecting annual increases of roughly 2% through 2027, largely driven by data centers.

In regions like PJM, load forecasts show a sharp rise in peak demand with data centers accounting for a significant share of new load, while the Electric Reliability Council of Texas (ERCOT) has reported rapid growth in large-load interconnection requests tied to data center development.

Together, those trends point to a system under new strain – not just from the amount of power required, but also from how quickly large loads can change.

From Steady Load to Sudden Swings
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