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AI energy demand

AI’s Energy Demand and Nuclear Power: What Microsoft’s Three Mile Island Deal Really Means

Microsoft’s deal for power from Three Mile Island Unit 1 is a test of whether long-term corporate contracts can finance firm, low-carbon electricity—not a direct wire to AI servers or a complete solution to data-center demand.

By TheFinanceBase Team 8 min read

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Microsoft’s 20-year agreement with Constellation Energy is designed to support the restart of Three Mile Island Unit 1, a reactor expected to provide about 835 megawatts of carbon-free electricity if it clears regulatory review and refurbishment. It is not a dedicated wire from the plant to Microsoft’s AI servers, and it will not by itself meet the electricity needs of a growing data-center industry. The deal matters because it tests whether a large corporate buyer’s long-term commitment can help finance firm, low-carbon power.

The distinction between the two reactors at the site is essential: the agreement concerns Unit 1, not Unit 2, where the 1979 accident occurred.

What Microsoft and Constellation agreed to

Announced on September 20, 2024, the agreement is a 20-year power-purchase deal for electricity from Three Mile Island Unit 1, which Constellation renamed the Christopher M. Crane Clean Energy Center. Constellation expects the reactor to produce approximately 835 megawatts and has targeted commercial operation in 2028, subject to regulatory approval and completion of the restart work. Microsoft’s announcement describes the agreement as part of its effort to add carbon-free electricity for cloud and AI growth; Constellation’s announcement sets out the project and contract.

Microsoft intends to use the plant’s output to help match electricity consumed by its data centers in the PJM regional grid. That is different from physically routing every megawatt to a particular Microsoft facility. Electricity injected into a regional grid is balanced with demand across that system; a power-purchase agreement provides a contractual and accounting relationship, not necessarily a private connection between generator and buyer. The Energy Information Administration’s overview describes the planned restart and its target date.

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The agreement is tied to Microsoft’s broader data-center demand, including AI-related growth. Public materials do not establish that every contracted megawatt will serve AI workloads or that the plant was built exclusively for one AI product.

Why AI and data centers are increasing electricity demand

Training, inference and the rest of the facility

Training a large model can require concentrated periods of intensive computing. Once deployed, inference—the computing used to answer requests and run model features—can continue around the clock as AI is added to search, office software, coding tools and business systems. Servers are only part of the load: cooling, networking, storage, backup equipment and power conditioning also consume electricity.

There is no reliable universal electricity figure for a single AI query. Consumption depends on the model, hardware, workload, utilization, cooling design and location, among other factors. Nor is all data-center growth caused by AI: cloud computing, video, enterprise software and other digital services remain significant users. The EIA notes uncertainty in forecasts, including how much capacity will be built, how quickly facilities reach peak demand and how efficiency will change.

Why buyers want dependable supply

Data centers are designed to deliver services continuously, so operators need dependable power and backup arrangements. A new large facility can also represent a substantial load for the local utility and grid. The pace and location of data-center construction, grid connections and efficiency improvements will all shape how much additional generation is needed.

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Why nuclear power is attractive—and what it cannot do

Nuclear plants can supply large amounts of firm electricity regardless of whether wind or solar output is high at a given moment. Reactors can operate for long periods between refueling and maintenance outages, and their operating generation has low carbon emissions. Those characteristics make existing plants and restarts attractive to data-center buyers seeking sizable, continuous electricity with a lower operational carbon footprint.

That does not make nuclear automatically the cheapest or fastest option, or the only way to serve data centers. Gas plants can be dispatchable but emit carbon and depend on fuel markets. Renewables paired with storage, hydropower, geothermal, transmission expansion, demand flexibility and efficiency can all contribute, with suitability varying by place and project. Nuclear plants also need maintenance and refueling outages; data centers still require grid redundancy, backup generation, storage and power conditioning.

“Carbon-free” in this context refers principally to electricity generation, not an impact-free lifecycle. Mining and processing fuel, construction, decommissioning, waste management and supporting infrastructure have environmental consequences. The Department of Energy’s discussion of nuclear-powered data centers addresses potential benefits as well as the practical challenges of grid connection and co-location.

Three Mile Island Unit 1 is a proposed restart, not an operating plant

The site’s history can obscure which reactor is involved. Unit 2 suffered the 1979 partial meltdown; Unit 1 was a separate reactor. Unit 1 permanently ceased operations in September 2019, and its fuel was removed that month. Restarting it is not a matter of simply turning a dormant generator back on.

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The Nuclear Regulatory Commission says Constellation must restore the plant’s operating licensing basis, return components to a condition suitable for safe operation and complete any necessary upgrades. The NRC accepted the restart request for formal review on May 6, 2025, and its facility page documents the ongoing review and oversight. The NRC approved the Crane Clean Energy Center name in May 2025, while listing the plant as permanently shut down and in SAFSTOR. See the NRC facility page.

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What must happen before commercial operation

  1. Licensing: Constellation must obtain NRC approval to restore authorization for power operations.
  2. Technical assessment and refurbishment: The operator must evaluate equipment and systems after years outside normal operation and repair, replace, test or modernize components as needed.
  3. Safety and security review: The NRC must assess whether plant systems and programs meet applicable requirements through review and inspection.
  4. Fuel loading and testing: The plant must complete required pre-operational and restart testing before generating commercially.
  5. Grid and market readiness: Interconnection, dispatch, outage planning and market arrangements must be coordinated.
  6. Commercial operation: The plant can enter service only after the operator and regulators determine it is ready.

Constellation’s 2028 target is a projection, not a guaranteed restart date. The DOE environmental impact statement describes the project and its licensing context; the NRC’s review and inspections remain material to the schedule.

The financing model: a long-term buyer, a major project and a federal loan

Constellation announced an expected restart investment of approximately $1.6 billion. Microsoft’s long-term purchase commitment gives the project a prospective customer for its output, which can help make a large capital investment more financeable. In November 2025, DOE closed a $1 billion loan for the restart. DOE says the loan is backed by Constellation’s credit and balance sheet; it is financing to Constellation for the project, not a payment to Microsoft. DOE’s loan announcement and its Crane restart project page provide the federal description.

The loan and contract do not make the project risk-free. Licensing, refurbishment, schedule, outages and electricity-market conditions can affect its economics. The public sources cited here do not disclose the PPA price or fully establish how restart overruns, delay risk, outage periods or non-restart outcomes are allocated between the parties. They also do not, by themselves, answer how the arrangement will affect PJM prices, capacity markets or customer bills. Those questions matter when judging whether a corporate commitment creates new supply at a reasonable cost or shifts risk elsewhere.

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Constellation’s approximately $1.6 billion figure is an announced estimate, not a guaranteed final cost. DOE’s environmental documents describe an existing license framework extending to 2034, subject to NRC action. Neither the announced project estimate nor the federal loan should be treated as proof that the plant’s eventual power will be cheap or that public exposure is absent. The Associated Press overview reports on the deal, estimated restart costs and economic context.

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Why the agreement could be a template for other buyers

The potential model is straightforward: a technology company commits to buying power over the long term; a generator gains revenue visibility; and a closed or planned nuclear project may find it easier to finance work. The buyer seeks a large volume of firm, low-carbon electricity, while the regional grid continues to balance supply and demand under its own rules. Whether the model works depends on delivery, cost, contract risk and grid effects—not just on the announcement.

  • Amazon and Talen Energy: DOE describes a 2024 arrangement involving a co-located data center and up to 960 MW associated with the Susquehanna nuclear station. Co-location differs from Microsoft’s regional procurement structure.
  • Palisades: DOE identifies the Michigan plant as another U.S. nuclear restart effort.
  • Advanced reactors: Small modular reactor projects and TerraPower’s Natrium project are part of a broader set of nuclear development efforts, but proposals and early-stage projects are not equivalent to operating capacity.
  • Other clean-energy contracts: Microsoft’s wider procurement strategy includes hourly matching initiatives involving hydro, solar and wind, illustrating that nuclear is one element of a broader portfolio.

These examples and the related infrastructure challenges are discussed in DOE’s analysis of nuclear-powered data centers and its data-center resource hub.

What could limit nuclear’s contribution to AI power needs

  • Time and execution: New reactors take years to license, finance and build; restarts still require substantial engineering and regulatory work.
  • Fuel supply: A larger nuclear fleet needs dependable uranium conversion, enrichment and fuel fabrication capacity.
  • Transmission and grid connections: Generation and data centers may be far apart, while interconnection queues, substations and regional bottlenecks can delay both.
  • Cooling and water: Nuclear plants and data centers both have cooling needs that must be assessed in local conditions.
  • Waste and decommissioning: Spent fuel management remains a political and technical issue, alongside the eventual decommissioning of plants.
  • Cost and alternatives: Buyers may pay for firm clean power, but the all-in comparison must account for refurbishment, financing, transmission, backup and alternatives that may be cheaper in particular places.
  • Public acceptance: Three Mile Island’s name carries historical associations even though the contracted reactor was not Unit 2.
  • Uncertain demand: AI use could grow quickly, plateau, move to more efficient models or shift geographically; forecasts depend on technology and build-out decisions.

These constraints make nuclear best understood as a possible firm-power anchor in a broader strategy that also includes renewables, storage, transmission, other generation and efficiency—not as a single source capable of satisfying unlimited data-center growth.

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How to tell whether the model is working

The meaningful test is not whether a deal is described as powering AI, but whether it delivers dependable, low-carbon electricity on terms that are transparent and sustainable. For Three Mile Island and similar projects, watch for:

  • NRC approval and completion of safety, restoration and testing requirements.
  • A restart close to the stated schedule and within a controlled final cost.
  • Reliable delivered output, with clear treatment of refueling and maintenance outages.
  • Transparent contract economics and an understandable allocation of delay and cost-overrun risk.
  • Evidence that the arrangement adds useful generation rather than simply redirecting existing clean supply, and a clear account of its grid and ratepayer effects.
  • Replication without excessive public risk, alongside investment in transmission, storage, efficiency and other sources of power.

If these conditions are met, Microsoft’s agreement may prove important as an infrastructure-financing signal: hyperscalers can become long-term buyers whose commitments support firm, low-carbon projects. Until then, the deal is a consequential test case, not proof that nuclear power has solved AI’s electricity challenge.

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