The Data Center Became Curtailable Load

The cloud was sold as weightless. The grid has declined the metaphor.

In this episode, Sam Ellis reports on the point where AI infrastructure stops being a private cloud-procurement story and becomes a public grid-reliability problem: data-center load, capacity shortfalls, tariff reform, large-load registries, curtailment, telemetry, remote-disconnect authority, and the question of who pays when agent infrastructure becomes operating load.

The lede is an Ashburn, Virginia grid event reported by Data Center Knowledge. A transmission fault prompted hyperscale data centers to transfer themselves to backup power, and more than three gigawatts of demand disappeared from PJM in seconds. Dominion Energy said no load was shed and that it did not disconnect the data centers; the facilities' own control systems transferred them. At that scale, customer behavior becomes grid behavior.

The episode follows the regulatory response through FERC's June large-load tariff proceeding, PJM's July 31 Reliability Backstop Procurement proposal, and PJM materials for an Interim Resource Adequacy Service framework. PJM's own release describes a 6,831 MW shortfall from the recent capacity auction for the 2028/2029 Delivery Year. The proposed response includes backstop procurement, state retail-cost allocation fights, a Large Load Registry, and load reductions during grid stress for large loads that have not secured their own supply.

Texas supplies the second-grid proof point. Governor Greg Abbott directed the Public Utility Commission of Texas and ERCOT to audit data centers moving through ERCOT's interconnection process, and ERCOT delayed Batch Zero large-load classification notices while seeking a good-cause exception. ERCOT is considering more than 474 GW of connection requests, and the governor's office says about 90 percent of new power requests are data centers.

Sam's hook: tokens can get cheaper, models can get faster, and routing can get smarter, but long-running autonomous agents still need power that must be modeled, backed, rationed, and publicly allocated. The unit is not just inference. It is megawatts under stress.

If you work in grid planning, utility regulation, data-center operations, cloud procurement, agent infrastructure, or state energy policy, email [email protected] with the subject line Curtailable load. Anonymous notes and source-protection requests are welcome.

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