The electricity demand created by artificial intelligence has become large enough to reshape how technology companies think about power, and the response increasingly points toward nuclear energy in a compact new form. Rather than tapping the grid alone or building sprawling solar farms, some of the largest AI operators are turning to small modular reactors and microreactors, factory-built units far smaller than a traditional nuclear plant, that could sit near a data center and supply steady, carbon-free power around the clock. The idea has moved past the whiteboard stage: the first supply agreements between AI companies and reactor developers are now being signed.
Why AI’s power appetite is driving the nuclear pivot
Training and running advanced AI models consumes electricity on a scale that is straining existing infrastructure, and the projected growth of data-center demand has outrun what many regional grids can comfortably deliver. That mismatch has set off a scramble among energy startups and established firms to lock in new generation, with a wave of ventures pitching reactors purpose-built for data-center loads, as chronicled in reporting on the race to power AI infrastructure. Nuclear appeals to these buyers for a specific reason: unlike wind and solar, it produces power continuously regardless of weather or time of day, matching the constant, heavy draw of a computing cluster.
The urgency is commercial as much as technical. Access to reliable power has become a competitive constraint on how fast AI capacity can expand, so securing dedicated generation is now treated as strategically important rather than as a back-office concern.
What makes small modular and micro-reactors different
The reactors at the center of this push are not scaled-down versions of the giant plants that dominate the nuclear fleet. Small modular reactors are designed to be manufactured in factories and assembled on site, producing a fraction of the output of a conventional reactor, while microreactors are smaller still, sized to power a single large facility or campus. The premise is that building many identical, smaller units can be cheaper, faster, and more flexible than constructing one massive bespoke plant, and that such units can be sited close to the demand they serve.
That siting flexibility is the key selling point for data centers. A reactor located next to a computing campus can feed it directly, reducing reliance on long transmission lines and on a shared grid that may already be near capacity in the regions where AI infrastructure is concentrating. It also insulates an operator from the grid’s own constraints: connecting a large new load to an existing network can take years of permitting and upgrades, whereas a dedicated on-site plant, at least in theory, ties the power supply directly to the facility it serves and removes the utility as a bottleneck.
Meta’s Oklo agreement and the first wave of contracts
The clearest sign that the concept is turning into commerce came from a set of nuclear agreements struck by Meta to feed its AI ambitions. The company signed deals with several nuclear developers as it built out a massive computing project, moves reported in coverage of Meta’s nuclear agreements. In one unusual arrangement, Meta agreed to prepay for power from the reactor startup Oklo, with the developer using that money to procure nuclear fuel for a planned plant intended to serve AI data centers, an structure described in an account of the deal in which Meta agreed to back a startup’s nuclear fuel. The financing model matters because it shows an AI company willing to shoulder upfront costs and risk to secure future generation, rather than simply buying power once a plant exists.
These are not one-off gestures. They fit a broader pattern in which major technology firms have moved to reserve nuclear capacity, from restarting older plants to backing next-generation reactor designs, all aimed at guaranteeing the power their AI systems will need.
The catch: timelines, licensing, and unbuilt reactors
For all the momentum, the reactors themselves largely do not yet exist. The agreements being signed today are commitments to build and buy power that is years away; many of the plants involved are targeted to come online around the end of the decade, pending construction and regulatory approval. Small modular and microreactor designs must clear licensing reviews, and few have been built and operated at commercial scale, so the gap between a signed contract and delivered electricity remains substantial.
That distinction is important to keep in view. The headlines describe deals and intentions, not reactors already humming beside data centers. Whether the compact-nuclear vision materializes will depend on execution over the next several years, on whether these units can be built on schedule and at the promised cost. What has genuinely changed is that the commercial commitments are now real, with money changing hands and specific projects named, which is why the race to pair AI with small reactors has moved from speculation into contracts even as the hardware is still being built.
This article was researched and written with the assistance of AI and reviewed by an editor prior to publication.
More from Morning Overview
