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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchBloomberg Intelligence estimates that the United States could spend more than $350 billion on nuclear power through 2050, adding 53 gigawatts (GW) of reactor capacity and lifting the fleet to about 159 GW. That is a long-range forecast—not a federal appropriation, committed spending total or guarantee that AI companies will finance the buildout.
The investment case is real, but the timing matters. Bloomberg Intelligence expects only about 9 GW of new nuclear capacity in the next decade and widespread small modular reactor (SMR) deployment after 2035. Near-term AI electricity demand will therefore be met by a mix of existing nuclear plants, restarts, natural gas, renewables, storage, transmission and efficiency projects.
What the $350 billion forecast actually means
Bloomberg Intelligence’s September 29, 2025 analysis projects more than $350 billion of U.S. nuclear-related spending through 2050. It forecasts 53 GW of additional reactor capacity, an approximately 159-GW total fleet and a 63% increase in nuclear generation by 2050. The figures include investment associated with new reactors and supporting infrastructure; they do not mean that AI companies will directly spend $350 billion.
The forecast is less aggressive than current federal ambitions. The Energy Department says the administration wants to expand U.S. nuclear capacity from roughly 100 GW in 2024 to 400 GW by 2050. A prior federal framework targeted 35 GW of new capacity by 2035 and a sustained 15-GW annual build rate by 2040. Those are policy goals, not funded projects or completed plants.
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Bloomberg Intelligence forecast | DOE nuclear targets and milestones
Why artificial intelligence is increasing interest in nuclear power
AI training and inference run continuously and can create very large, concentrated loads. A hyperscale campus may need dependable power around the clock, with enough capacity for rapid expansion. Nuclear plants provide firm, low-carbon generation at high utilization, making them attractive to companies seeking 24/7 carbon-free electricity.
Nuclear does not remove every infrastructure problem. Data centers still need transmission or dedicated electrical equipment, substations, backup systems, cooling water, cybersecurity and a reliable arrangement for plant outages. The Energy Department identifies siting, economics, licensing and fuel availability as major challenges for nuclear-powered data centers.
AI is not the only demand driver. Electrification, industrial reshoring, energy-security concerns, federal support, hydrogen, advanced manufacturing and defense loads are also strengthening the case for new nuclear generation.
DOE: advantages and challenges of nuclear-powered data centers
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The near-term supply problem
The most important number for an AI developer is not the 2050 fleet total; it is how much electricity can be delivered before 2030 or 2035. Bloomberg Intelligence’s forecast calls for only about 9 GW of new nuclear capacity in the next decade, with broad SMR deployment after 2035.
That schedule makes a portfolio approach unavoidable:
- Existing reactors can add output through uprates, efficiency work, improved fuel use and license extensions.
- Retired plants may restart where equipment, licensing, economics and grid conditions allow.
- Natural-gas generation can be built relatively quickly, although it has fuel-price and carbon risks.
- Renewables paired with storage, demand management and transmission can serve incremental load.
- Data-center operators may move campuses to locations with available generation and substations rather than wait for a new reactor.
Nuclear cannot solve a late-2020s power shortage by itself. New reactors require design approval, site preparation, component manufacturing, construction, fuel and testing before they produce commercial electricity.
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Operating-plant uprates and restarts
Uprates and efficiency projects can be faster than greenfield construction, but each site is limited by turbines, cooling systems, grid capacity, safety analysis and licensing. Restarts also require major inspections and capital.
The Palisades plant in Michigan and the Crane Clean Energy Center in Pennsylvania—formerly Three Mile Island Unit 1—are prominent restart efforts. The Energy Department says EDF funded a $1.52 billion loan to Holtec for Palisades and a $1 billion loan to Constellation Energy Generation for Crane. Financing milestones do not mean either plant is already supplying new AI load.
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Large conventional reactors
Large reactors are technologically mature but capital-intensive and vulnerable to construction delays and cost overruns. The United States completed only three traditional reactors in the 21st century, illustrating the difficulty of repeating projects at scale.
Advanced reactors and SMRs
SMRs are designed for factory-style production, smaller units and potentially more flexible siting. Those benefits remain prospective in the United States: first-of-a-kind projects still face licensing, manufacturing, fuel, financing and workforce risks. A demonstration or permit is not evidence of fleet-level cost or schedule performance.
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Projects beyond the concept stage
| Project or program | Milestone | What it does not prove |
|---|---|---|
| TerraPower Natrium | NRC construction permit in March 2026; construction began in April 2026. | It is not yet an operating commercial plant; fuel loading, testing and operational authorization remain ahead. |
| Kairos Hermes 2 | Construction of the demonstration reactor began in April 2026. | A demonstration is not a repeatable commercial fleet. |
| Dow/X-energy Xe-100 | The NRC was reviewing a construction-permit application for the Texas project. | An application is not a permit or completed reactor. |
| TVA and Holtec | DOE selected the partners for early advanced light-water SMR deployments, with up to $800 million in combined federal cost-sharing. | Cost-sharing is not the project’s total cost or delivered power. |
| Advanced-reactor demonstrations | DOE said four advanced reactors had reached criticality demonstrations by July 4, 2026. | Criticality demonstrates reactor operation, not commercial electricity delivery. |
DOE advanced-reactor milestones | DOE fact sheet
How nuclear power could reach AI data centers
Power-purchase agreements
Microsoft and Constellation announced a 20-year agreement associated with restarting Crane. Such an agreement can provide a commercial anchor, but the power depends on the restart’s licensing, financing and construction schedule. A contract is not proof that new electricity is already flowing.
Co-location
A data center can be built at or near a nuclear station, reducing some transmission constraints. The arrangement raises questions about who pays for dedicated infrastructure, how outages are covered, whether existing customers lose access to output, and how behind-the-meter generation is regulated. DOE has cited Susquehanna and Surry as locations being considered for nuclear-adjacent data centers.
Amazon and Talen’s arrangement is one example cited by DOE: a $650 million deal involving a co-located data center and up to 960 MW from Susquehanna. The stated capacity is not the same as guaranteed continuous delivery to every future campus.
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Dedicated new reactors
Future advanced reactors could be designed for industrial users or data-center campuses. This is the least proven model and carries the longest licensing, construction and fuel timeline.
DOE examples of Microsoft, Amazon and Talen arrangements
Federal sites are an accelerator, not a finished project
DOE selected Idaho National Laboratory, Oak Ridge Reservation, Paducah Gaseous Diffusion Plant and Savannah River Site for potential AI data-center and energy projects. It has also identified 16 federal sites for possible development. Existing land and infrastructure may shorten some steps, but site selection is not final investment approval, a reactor license or commercial operation.
Initial federal-site selections | Broader federal-site initiative
The bottlenecks that could derail the boom
- Cost and financing: Nuclear requires substantial capital before revenue, and first-of-a-kind designs may not achieve promised cost reductions.
- Construction and supply chain: Heavy forgings, nuclear-grade materials, turbines, specialized contractors and manufacturing capacity are limited.
- Skilled labor: Reactor construction, operations and regulation require a workforce that cannot be expanded instantly.
- Fuel: Advanced designs may require high-assay low-enriched uranium (HALEU). DOE announced $2.7 billion in January 2026 to strengthen domestic enrichment and support LEU and HALEU services.
- Regulation: Streamlined licensing does not remove technical review, environmental rules, inspections, emergency planning or public participation.
- Grid and water: Transmission queues, substations, cooling-water access and local permits can delay a project after the reactor decision.
- Public acceptance: Safety, waste, land use, water consumption, decommissioning and rate impacts can trigger opposition.
DOE fuel and financing information
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the forecast means for investors and businesses
For utilities and data-center operators
Evaluate the energization date, firm-power guarantees, outage arrangements, interconnection costs, water availability, fuel contracts and who bears construction risk. A power-purchase agreement may provide physical electricity, financial matching or a combination; those structures have different reliability and accounting implications.
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For investors
Distinguish an operating reactor from a restart, a licensed design, a construction permit, a demonstration and a concept. Examine customer credit, government support, private capital at risk, schedule credibility, fuel requirements, cash runway and dilution risk. Uranium, enrichment, component, engineering and construction companies may benefit even if a particular reactor developer does not complete its project.
These are infrastructure and project risks, not a reason to treat the $350 billion estimate as a stock-picking signal. Long-range outcomes depend on AI adoption, data-center efficiency, interest rates, gas and renewable costs, carbon policy, licensing speed, fuel supply and public acceptance.
How other forecasts should be read
The Energy Information Administration’s Annual Energy Outlook 2026 presents multiple scenarios rather than one definitive prediction. Its treatment of rising data-center demand reinforces the point: nuclear outcomes are assumption-sensitive. Higher AI use can increase electricity demand, while more efficient chips and models can reduce power per computation. Conversely, larger models, faster inference growth or slower efficiency gains can increase it.
EIA Annual Energy Outlook 2026 methodology
Bottom line for the AI power race
The $350 billion figure is a credible Bloomberg Intelligence scenario for a multi-decade U.S. nuclear expansion, not money already committed. AI demand is helping revive nuclear investment, but the near-term buildout is too small and too slow to carry the data-center boom alone. Existing reactors, restarts, gas, renewables, storage, transmission and efficiency will supply much of the immediate need. Advanced nuclear becomes strategically important only if projects move from permits and demonstrations to repeatable, financeable commercial fleets.
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