Why Big Tech Is Suddenly Betting Billions on Nuclear Power for AI
Every major AI company has now signed nuclear power agreements to secure electricity for data centers, committing to more than 13 separate deals totaling close to 10 gigawatts of nuclear capacity. This represents a fundamental shift in how tech giants approach energy infrastructure. Just three years ago, such commitments would have seemed implausible on any tech company's balance sheet. Today, they reflect an urgent operational reality: the power grid simply cannot keep up with AI's explosive energy demands.
What's Driving Tech Giants to Go Nuclear?
The answer lies in a bottleneck that has quietly become the biggest constraint on AI expansion. US grid interconnection queues have swollen past 2,600 gigawatts of waiting projects, with average wait times stretching toward five years. Many projects never make it through; withdrawal rates reach as high as 80% for companies that simply give up waiting. Meanwhile, wholesale power prices near hyperscale data center clusters have surged by as much as 267% in some regions. Global data center electricity demand is projected to double by 2027, with AI workloads responsible for the majority of that growth.
Against this backdrop, restarting an existing nuclear plant offers a materially faster path to reliable, always-on power than waiting in line for a new renewable interconnection. These plants come with transmission rights, cooling infrastructure, and grid interconnection already built. Small modular reactors (SMRs), meanwhile, promise even more flexibility: factory-fabricated units that can theoretically be sited directly alongside a data center campus, sidestepping transmission bottlenecks altogether.
How Are Individual Tech Companies Structuring Their Nuclear Deals?
- Microsoft's Strategy: Signed a $16 billion, 20-year agreement to restart the former Three Mile Island Unit 1, now rebranded the Crane Clean Energy Center, with commercial operation targeted for the second half of 2027, a year ahead of the original schedule after a Federal Energy Regulatory Commission transmission waiver cleared the last major grid obstacle in mid-2026.
- Google's Approach: Signed what industry trackers describe as the first-ever corporate agreement to develop a fleet of small modular reactors in the US, committing to up to 500 megawatts across six to seven units with Kairos Power, with the first reactor targeted for 2030.
- Amazon's Two-Track Method: Expanding its existing offtake agreement with Talen Energy to nearly 2 gigawatts from the Susquehanna plant in Pennsylvania through 2042, while separately leading a $700 million investment round in X-energy to develop up to twelve gas-cooled Xe-100 SMR units.
- Meta's Portfolio Approach: Went furthest of all, with agreements covering as much as 6.6 gigawatts spread across TerraPower, Oklo, Vistra, and Constellation, hedging across nearly every major reactor technology currently in development.
Together, these four companies have committed to more than 13 separate nuclear deals. The scale of committed capital suggests these companies view guaranteed access to firm, carbon-free power as a competitive necessity for the AI race, worth underwriting risk that utilities alone have historically been reluctant to take on.
What Are the Real Challenges These Deals Face?
Whether the promise of rapid nuclear deployment holds up on the timelines these companies are counting on remains the real open question. Small modular reactor unit economics still haven't proven out at commercial scale in the West. NuScale's flagship US project was cancelled in 2023 after cost overruns outpaced what its utility customers were willing to absorb. Most credible industry analyses suggest SMR costs won't hit their mature-market targets until roughly 10 gigawatts of cumulative capacity has actually been built and operated somewhere in the world.
Fuel supply presents another constraint. Several of the advanced reactor designs backed by Google and Amazon require HALEU fuel enriched between 5% and 20%. Russia currently dominates the commercial enrichment capacity for that fuel grade, meaning a secure Western supply chain still has to be built essentially from scratch. These are not trivial obstacles, yet Big Tech is writing checks anyway.
Why This Shift Matters Beyond Data Centers
For the broader energy sector, the most consequential shift may not be any single reactor restart, but rather a fundamental change in how nuclear technology gets funded and developed. For the first time in decades, private capital outside the utility industry is willing to absorb first-of-a-kind nuclear risk at scale. This alone could reshape how fast next-generation nuclear technology actually reaches commercial maturity. The tech industry's willingness to underwrite nuclear development represents a vote of confidence that could accelerate the entire sector's transition away from fossil fuels.
The irony is striking: the same AI boom that has raised concerns about energy consumption and carbon emissions is now driving investment in one of the few energy sources capable of powering it sustainably. Whether that investment pays off on the promised timelines will determine not just the future of AI infrastructure, but potentially the trajectory of nuclear energy itself in the United States.