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OpenAI's Grid Protectors Program promises data centres that power down when the grid is strained
OpenAI has launched Grid Protectors, a national program to make its future US compute campuses cut electricity use when local grids are under stress. The pilot is its planned Effingham County campus in Georgia, where it has agreed up to 1,000 MW of flexible demand response with Georgia Power.

OpenAI has launched the Grid Protectors Program, a national effort to make its future compute campuses act as a flexible load that utilities can turn down when the grid is under strain[1]. The company says it will work with utilities, regulators and policymakers on how much demand each campus can shed, how quickly and for how long, with arrangements that differ by location[1].
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Georgia is the pilot
The first test is OpenAI's planned campus in Effingham County, Georgia, which is still in development[1]. Georgia Power says the facility is expected to need about 3,200 MW and that, under a 25-year agreement, the utility can reduce energy delivered to it during certain periods; OpenAI has committed up to 1,000 MW of that as flexible demand response, which Georgia Power calls among the largest single-facility commitments of its kind in the US[2]. OpenAI puts 1,000 MW at roughly the average demand of 700,000 households[1].
OpenAI says it will pay the full infrastructure and electric-service costs needed to serve the site, and that depending on local needs it may also supply power from on-site generation or storage and use batteries and power controls to smooth changes in demand[1].
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The cost argument
The pitch to ratepayers is that grid infrastructure is a fixed cost. A campus that draws steadily when there is spare capacity and backs off at peaks helps pay for that infrastructure without forcing upgrades sized for the worst day[1]. Georgia Power's contract with OpenAI has been approved by the state Public Service Commission, and the utility projects about $950 million a year in customer savings from 2029 across its whole portfolio of large-load contracts and expected growth, or at least $15 a month for a typical home using 1,000 kWh[3].
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Why it matters
Power is now the bottleneck for AI build-outs, and households worried about their bills are a political risk for every lab building campuses. Grid Protectors is OpenAI's attempt to get ahead of that by turning its biggest liability, enormous new demand, into a resource utilities can call on. OpenAI itself concedes the limit: flexibility cannot replace investment in new generation and transmission[1]. Beyond Georgia, the program has no published commitments yet, so the real test is whether the next campuses sign similar terms.
FAQ
Frequently asked questions.
01What is OpenAI's Grid Protectors Program?
It is a national program OpenAI launched on November 2, 2026 to work with utilities, regulators and policymakers on arrangements that let its future compute campuses reduce electricity demand when the local grid is under strain. OpenAI says the details will differ by location and that it will share more commitments as they are finalised.
02Where does it start?
The pilot is OpenAI's planned campus in Effingham County, Georgia, known as Project Camellia. The campus is still in development.
03How much power is involved in Georgia?
Georgia Power says the facility is expected to need about 3,200 MW under a 25-year agreement, and OpenAI has committed up to 1,000 MW of flexible demand response that the utility can call on during high demand. OpenAI says 1,000 MW is roughly the average demand of 700,000 households.
04Who pays for the grid upgrades?
OpenAI says it has committed to pay the full infrastructure and electric-service costs required to serve the Effingham campus. It also says long-term contracts and financial assurances can protect other customers if a project is delayed, reduced or cancelled.
05Will it lower power bills?
Georgia Power projects about $950 million in annual customer savings from 2029 across its portfolio of large-load contracts and expected growth, not from OpenAI alone, and estimates at least $15 a month for a typical residential customer using 1,000 kWh.
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