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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteFor an AI data center that needs dependable nuclear-associated electricity in the late 2020s, fission is the practical choice. Operating reactors already supply the grid, and data-center operators are signing contracts tied to existing nuclear assets. Fusion is a potentially important 2030s-and-beyond option, but no commercial fusion plant in the cited evidence is delivering grid power today. A planned fusion offtake is a future commitment, not current capacity.
The right decision therefore is not “which reactor sounds better?” It is whether a facility can secure firm electricity on its required schedule, at an acceptable cost and risk, with workable transmission, cooling, licensing, fuel and waste arrangements.
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Why AI data centers are forcing a nuclear-power decision
Electricity demand is rising faster than ordinary load growth
The International Energy Agency (IEA) projects electricity generation serving data centers to increase from 460 TWh in 2024 to more than 1,000 TWh in 2030 and 1,300 TWh in 2035. Those are forecasts, not guarantees: the outcome depends on how quickly facilities are built, how intensively AI systems run and how much efficiency improves.
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AI facilities need a different supply profile
Training clusters and inference campuses can draw hundreds of megawatts continuously. A short interruption can stop jobs, disrupt storage and networking, and force operators to maintain expensive backup systems. “Firm” power means generation that is available around the clock and can be contracted with predictable delivery, rather than energy that is available only when weather or market conditions cooperate.
The U.S. Department of Energy reported in 2024 that data-center energy use had tripled over the prior decade and could double or triple again by 2028. That estimate also depends on construction, utilization and efficiency, but it explains why operators are pursuing large, reliable and emissions-free sources instead of relying only on incremental grid purchases.
What fission can provide now
An operating fleet is already producing electricity
Fission splits heavy atoms in a controlled chain reaction and uses the resulting heat to make steam and electricity. Unlike a proposed technology, it has a commercial operating base. The World Nuclear Association recorded 2,667 TWh of nuclear generation in 2024, 398 GWe of operable capacity at year-end, and an average 83% capacity factor for reactors that generated electricity. The capacity-factor figure is a fleet average, not a promise that every plant will achieve it.
That installed base matters to an AI developer because power can be purchased from an existing generator while a new campus is being built. The reactor does not need to be invented, demonstrated or licensed for the first time before the contract can begin; transmission, market rules and the specific contract still determine what electricity the customer receives.
Data-center power-purchase agreements are already being used
In 2024, the U.S. Energy Information Administration (EIA) reported that Constellation had announced a 20-year power-purchase agreement to provide Microsoft data centers with electricity associated with Three Mile Island Unit 1. EIA presented the arrangement as part of a broader search by data-center owners for large, reliable, emissions-free supply.
This kind of agreement is not the same as building a private reactor behind a server hall. It is a commercial arrangement for energy associated with a nuclear asset, subject to the plant’s operating status, grid delivery, contract terms and regulatory approvals. Buyers must examine whether the agreement provides physical power, financial settlement, or a combination, and how replacement energy is handled during outages.
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New reactors and SMRs are a later pathway
Small modular reactors (SMRs) could eventually place firm generation closer to large loads or add capacity in standardized units. They are not, however, an immediate substitute for the operating fleet. The IEA expects the first U.S. SMRs to be commissioned after 2030 and identifies financing, policy, workforce and supply-chain barriers.
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What fusion can—and cannot—provide today
Fusion has achieved scientific milestones, not commercial delivery
Fusion joins light atomic nuclei at extreme temperatures. The reaction can release substantial energy, but a commercial plant must do far more than create a hot plasma: it must sustain the reaction, capture heat, manage materials exposed to intense neutron flux, establish a fuel cycle, remove heat continuously and deliver electricity through a licensed plant.
The U.S. Nuclear Regulatory Commission (NRC) says the Department of Energy is primarily responsible for advancing fusion energy. The NRC also notes that one company has a goal of providing electricity by 2028 and describes a new U.S. regulatory framework for fusion machines created by the 2024 ADVANCE Act. A company goal or a new regulatory pathway is not evidence that a commercial plant will deliver power on that date.
Government strategy is a roadmap
The DOE’s 2024 Fusion Energy Strategy is organized around closing science and technology gaps, preparing for deployment and building partnerships. It establishes priorities for commercialization; it does not document an operating commercial fleet or a delivered cost of electricity.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteThe Google–Commonwealth Fusion Systems commitment is prospective
Commonwealth Fusion Systems (CFS) and Google announced a planned 200 MW offtake from CFS’s first ARC power plant in Virginia. Google described it as the largest direct corporate purchase agreement for fusion energy and said the offtake would come from the first commercial plant to be developed.
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The announcement ties the commitment to SPARC achieving net fusion energy and to subsequent ARC development. Until those milestones, construction, licensing and grid connection occur, the 200 MW is planned capacity rather than electricity an AI campus can consume. It is therefore not comparable to the proven annual output of today’s fission fleet.
Fission and fusion compared for an AI facility
| Decision axis | Fission | Fusion |
|---|---|---|
| Availability | Operating plants and existing power contracts | Planned demonstrations and future offtake agreements |
| Late-2020s readiness | Possible through existing reactors, subject to grid and contract conditions | Not established in the cited evidence |
| 2030s potential | New SMRs may contribute if licensing, financing and supply chains align | Could become significant if pilot and regulatory milestones succeed |
| Output profile | Firm generation demonstrated at fleet scale | Firm generation is the goal, not yet commercially demonstrated |
| Main schedule risks | Licensing, construction, financing, fuel and workforce | Plasma performance, materials, tritium and fuel-cycle systems, heat extraction, licensing and financing |
| Contract interpretation | Some agreements reference existing or restarting fission assets | The Google–CFS agreement references a plant still to be developed |
| Best framing for procurement | Current deployment and transition technology | Conditional long-term option |
Reliability: proven output versus intended output
What fission has demonstrated
Commercial fission reactors have supplied electricity at fleet scale for decades. The 83% 2024 capacity factor reported by the World Nuclear Association indicates sustained utilization across generating reactors, while individual plants still require planned maintenance, refueling outages and unplanned repairs. A data-center contract must specify how those periods are covered.
What fusion still has to demonstrate
A fusion pilot must show repeatable operation, maintainable components, continuous heat removal and a complete route from fusion energy to grid electricity. Plasma performance alone would not prove that the plant can run at a data center’s required duty cycle. Until a commercial machine demonstrates that chain, fusion reliability remains a forecast.
Backup planning is required for either technology
Nuclear supply does not eliminate the need for UPS systems, batteries, generators and redundant grid connections. Reactor outages, transmission faults, storms and maintenance can affect delivery. The difference is that fission begins with an operating generation technology, while fusion adds technology-development risk before ordinary plant-availability risk even becomes measurable.
Schedule and deployment pathways
If the campus must open in the late 2020s
Start with the existing grid and operating nuclear generators. Evaluate a nuclear power-purchase agreement, transmission capacity, congestion exposure and replacement-energy provisions. A contract can support a new campus only if the local network can physically deliver the required power when the servers run.
If expansion is planned for the 2030s
Keep operating-plant contracts as the baseline and monitor SMR projects that have completed meaningful licensing and financing milestones. Treat a proposed SMR as a project with execution risk, not as capacity that exists because a vendor has announced a design.
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If the planning horizon extends beyond 2035
Include fusion as an option in scenario planning, with explicit gates for net-energy demonstrations, component durability, fuel-cycle performance, heat extraction, licensing, financing and grid connection. Do not count an announced offtake toward firm capacity until the plant has a construction schedule, permits, interconnection plan and enforceable delivery terms.
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Cost: why a simple fission-versus-fusion price is unavailable
The cited official sources do not provide a directly comparable current levelized cost of electricity for fission versus fusion dedicated to AI data centers. Fusion has no commercial fleet from which to calculate an observed operating cost, and fission costs vary by whether a buyer uses an existing plant, funds a refurbishment, signs a new-build contract or develops an SMR.
Use scenario analysis instead of a headline number
Build separate cases for an existing-reactor contract, a new large reactor, an SMR and a future fusion plant. For each case, model:
- Energy price and escalation terms, including any minimum-take obligation.
- Transmission upgrades, interconnection charges and congestion or curtailment exposure.
- Construction financing, delay contingencies and the cost of interim power.
- Fuel, staffing, maintenance, outage replacement and decommissioning responsibilities.
- Backup generation, storage and the value of lost compute if delivery fails.
- Carbon, renewable or clean-energy attributes and the accounting treatment of those certificates.
For fusion, add the probability and timing of technical milestones. A low eventual operating cost does not compensate an AI developer if the plant is late and the campus must buy expensive interim electricity.
Siting, transmission, water, fuel and waste
Grid location can outweigh reactor choice
A reactor can produce firm electricity without being located next to the data center. The practical constraint is whether transmission can move the power to the campus and whether the regional market has enough capacity during peak conditions. A site-selection study should check interconnection queues, substations, rights of way, congestion, emergency procedures and the time required for network upgrades.
Cooling and water are project-specific
Both fission and fusion power plants must reject heat. Cooling technology, local climate, water availability, discharge rules and drought conditions affect siting and operating cost. A data center may also need substantial water or a low-water cooling design, so the nuclear plant and the server campus should be evaluated as one resource system rather than as separate real-estate decisions.
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Fuel-cycle questions differ
Fission relies on a regulated fuel supply and produces spent fuel that must be managed under national policy and plant-specific arrangements. Fusion concepts require specialized fuel-cycle systems; many designs depend on tritium handling and on materials that can withstand neutron exposure. Those systems are among the technical and regulatory issues that a commercial fusion plant must still demonstrate.
Waste and environmental obligations remain part of procurement
“Emissions-free” electricity during operation does not remove responsibilities for radioactive materials, plant decommissioning, land use, cooling-water impacts or emergency planning. The buyer should assign those obligations contractually and verify the applicable national, state and local rules.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Regulation and contracting questions to ask
Regulatory treatment is not interchangeable between an operating fission reactor, an SMR and a fusion machine. The NRC’s 2024 framework changes how U.S. fusion machines are regulated, but a project still needs approvals appropriate to its design and site. Fission projects remain subject to established nuclear licensing, security, emergency-planning and operator requirements.
Before signing a power contract, an AI operator should obtain written answers to these questions:
- Is the agreement for physical delivery, financial settlement, energy attributes, or all three?
- What plant, unit and delivery point are identified?
- What happens during refueling, forced outages, construction delays or a missed commercial-operation date?
- Who pays for transmission upgrades and replacement electricity?
- Are there termination rights, credit guarantees, performance damages and force-majeure provisions?
- Does the contract count prospective capacity before the generating unit is licensed and connected?
- Which party carries fuel, waste, decommissioning, security and regulatory-change risks?
A practical decision framework for an AI developer
Step 1: Define the load precisely
- Document the campus’s peak megawatts, average load, ramp rate and expected utilization by year.
- Separate training, inference, storage and cooling loads so that flexible demand is not mistaken for firm demand.
- Set an availability target and identify the maximum acceptable interruption for each workload.
Step 2: Match the supply to the opening date
- For a late-2020s opening, price existing-grid and operating-fission contracts first.
- For a 2030s expansion, compare those contracts with SMR proposals only after checking licensing, financing and supply-chain status.
- For later phases, model fusion as a gated option whose capacity is added only after independently verifiable milestones.
Step 3: Test physical deliverability
- Obtain an interconnection study and confirm the substation, transmission path and upgrade schedule.
- Run outage and congestion scenarios for the regional grid.
- Size UPS, batteries and dispatchable backup for the workloads that cannot tolerate a grid event.
Step 4: Compare whole-project risk
- Use a common financial model for energy, construction, financing, transmission, cooling, backup and decommissioning.
- Assign probabilities and milestone dates to technologies that have not yet operated commercially.
- Require independent technical and regulatory review before treating a vendor target or corporate announcement as capacity.
Step 5: Preserve optionality
Use staged procurement: secure near-term supply from available generation, reserve transmission capacity for expansion, and include future technology only through conditional contracts with clear go/no-go dates. This avoids betting an entire AI build-out on a plant whose commissioning date is still a target.
Common mistakes to avoid
- Comparing a planned fusion plant with the entire operating fission fleet. One is a prospective project; the other has decades of measured generation.
- Treating an offtake announcement as delivered electricity. The Google–CFS arrangement depends on SPARC and ARC milestones that have not yet produced commercial power.
- Assuming “SMR” means fast or inexpensive. Modular design does not remove licensing, financing, workforce, fuel or supply-chain constraints.
- Ignoring transmission. A generation contract is not useful if the local network cannot deliver the contracted load.
- Using an unqualified cost comparison. No directly comparable fission-versus-fusion data-center electricity cost is established in the cited sources.
- Planning without outage replacement. Every nuclear supply arrangement needs backup, maintenance and force-majeure provisions.
- Using target dates as guarantees. A 2028 company goal or a 2030s SMR expectation should remain a scenario assumption until permits, financing, construction and commissioning are demonstrated.
Bottom line for the late 2020s and beyond
Fission is the actionable nuclear option for AI data centers because operating reactors already generate electricity and can support contracts today, subject to grid and commercial conditions. SMRs may add capacity after 2030, but they remain projects with substantial execution barriers. Fusion deserves a place in long-range planning and could become a major source of firm power if its pilot plants prove net energy, durable components, fuel-cycle operation, heat extraction, licensing and financing. Until then, an AI operator should buy or contract proven supply for the load it must serve and treat fusion capacity as conditional upside rather than a guaranteed schedule.
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