As AI threatens to overload the power grid and America faces an electricity crunch, here’s what tech giants are betting on to keep the power flowing

For decades, U.S. electricity demand was relatively flat. The power system was built around that reality. Utilities, infrastructure planners and policymakers had little reason to expect a sharp rise in national electricity use.

AI data centers are adding large loads, but they are only part of the change. More factories are returning to the United States. Transport, buildings and industrial processes are becoming more dependent on electricity. Robotics and physical AI could add another source of demand as they move into factories and other workplaces.

Why America Is Turning Back to Nuclear Power

The National Telecommunications and Information Administration (NTIA) projects a 9% annual increase in U.S. data center power demand through 2030.


The International Energy Agency (IEA) projects global data center electricity consumption will top 1,000 Terawatt-hours (TWh).

According to industry forecasts, advanced AI model training and inference alone will demand an additional 200+ TWh of power by 2030.

Nuclear energy offers something that is difficult to replace at large scale; steady electricity without direct carbon emissions from generation.

That matters when electricity demand is rising rather than remaining flat. Large industrial facilities and data centers need dependable power, not simply electricity that is available when weather conditions are favorable.

Legacy data centers operated under100 Megawatts (MW); new hyperscale AI clusters regularly exceed1 Gigawatt (GW).

The argument for nuclear is also becoming broader. It is no longer only about replacing fossil-fuel generation. Supporters increasingly see nuclear power as part of a larger strategy involving manufacturing, energy security and the growth of electricity-intensive industries.

France provides one example of what sustained nuclear investment can look like. Its long-standing nuclear program has given the country a large source of low-carbon electricity.

Investment is spreading across several technologies. Companies are developing small modular reactors, microreactors, advanced fission systems and fusion.

The economics remain difficult. The first commercial project using a new reactor design can be extremely expensive because the technology still has to be engineered, tested, licensed and built. Later projects could benefit from repeatable designs and larger production volumes, but that depends on whether the technologies prove workable.

Several companies are also using advanced computing to shorten parts of that process.

For example: TerraPower is working with NVIDIA technology on digital twins for nuclear design and siting. Atomic Canyon is applying AI to nuclear documents and technical information. Commonwealth Fusion Systems is using digital-twin technology in fusion research.

New reactor designs are being developed with different approaches to safety. Some advanced systems rely more heavily on passive mechanisms, meaning certain safety responses are designed to occur without active intervention.

That doesn't make nuclear risk disappear. It changes how the risk is managed.

Researchers are also applying AI to plant monitoring. Argonne National Laboratory, for instance, has tested a system that combines AI with physics-based models to identify simulated equipment and sensor failures. The system is intended to support trained personnel rather than replace their operational decisions.

Nuclear facilities operate under strict safety procedures, and AI can assist with detection and analysis without becoming the final authority on a reactor's operation.

Technology isn't the only constraint. Licensing can take years, and many existing nuclear rules were developed around older reactor designs.

There has been some movement toward shorter review timelines. The Nuclear Regulatory Commission has moved toward an 18-month milestone for certain new reactor licensing and construction reviews. TerraPower's Kemmerer 1 project in Wyoming received its final safety evaluation after an 18-month review.

Congress also passed the ADVANCE Act in 2024, directing changes intended to improve the regulatory process for advanced nuclear technologies.

The challenge now is implementation. Developers need rules that are not only rigorous but also predictable enough to plan projects around.

New nuclear plants cannot be designed, licensed and constructed overnight. Even if regulatory processes improve, advanced reactors will take years to reach commercial scale.