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The company is placing a huge bet on small modular reactors.

First it was Microsoft and Constellation restarting Three Mile Island, then it was Google announcing it would buy power from small modular reactors built by Kairos. Now today, Amazon has said it’s investing in X-energy, the small modular reactor and fuel company, and supporting a joint project by X-energy and Energy Northwest, the Washington state public utility.
So what makes this deal different from all other nuclear tech deals?
“What makes this significantly different is the investment,” Brett Rampal, a senior director at Veriten, an energy advisory company, told me. Amazon is not just buying the power that a nuclear reactor will produce after it’s completed. It’s getting involved in the projects themselves.
This has not typically been how big tech companies with commitments to reduce emissions and rapidly expanding energy needs to power more data centers get involved with nuclear power.
The Microsoft/Constellation deal to restart Three Mile Island did not entail Microsoft taking on the financial and logistical burden of upgrading the plant so that it could be up and running again in a few years — for that, Constellation will be putting $1.6 billion of its own money into the plant. Instead, Microsoft signed a 20-year deal for the plant’s output, known as a power purchase agreement, which guarantees a price for the plant’s product. These types of deals were pioneered by Google to support renewables projects by giving them a guaranteed income independent of how electricity prices might fluctuate in whatever market they were selling into.
Amazon’s deal, on the other hand, is a “direct investment in the Energy Northwest project,” an X-energy spokesperson told me. According to an Amazon spokesperson, that means a “capital commitment to fund development, licensing and construction of an SMR project with Energy Northwest in Washington State,” a spokesperson told me. The project would be sited near the existing Columbia Generating Station in Richland.
“This is Amazon saying, We’re in, and we need this, and we’re putting skin in the game directly,” Rampal said. By contrast, other nuclear deals like Microsoft’s and Google’s “send demand signals and are, Hey, we’ll be there when you’re done.”
Energy Northwest and X-energy signed a joint development agreement for the project last year. If all goes as planned, the finished facility could be as large as 960 megawatts from 12 X-energy 80-megawatt “modules.” Amazon could buy the electricity from up to four of the modules, totaling 320 megawatts. Amazon said that the project “will help meet the forecasted energy needs of the Pacific Northwest beginning in the early 2030s.” (Last year X-energy and Energy Northwest said the project would be online “by 2030.”)
“We’ve been working for years to develop this project at the urging of our members, and have found that taking this first, bold step is difficult for utilities, especially those that provide electricity to ratepayers at the cost of production,” Greg Cullen, Energy Northwest’s vice president for energy services and development, said in a release. “We applaud Amazon for being willing to use their financial strength, need for power, and know-how to lead the way to a reliable, carbon-free power future for the region.”
That “first, bold” step is difficult because nuclear development is notoriously risky even with proven technologies, let alone novel designs like X-energy’s. The only other small modular reactor deal in the United States, between NuScale (which has the only approved small modular reactor design) and a coalition of Mountain West utilities, fell through due to escalating costs.
Amazon is also anchoring an equity investment in X-energy itself, alongside Citadel founder Ken Griffin and other investors. Amazon said its investment in X-energy “includes manufacturing capacity to develop the SMR equipment to support more than 5 gigawatts of new nuclear energy projects utilizing X-energy’s technology.”
The reactor design that Energy Northwest and X-energy plan to deploy, the Xe-100, is in the “pre-application” process with the Nuclear Regulatory Commission. X-energy and the NRC have been engaging with each other since 2018, according to the docket for the project.
Amazon also announced that it had signed a memorandum of understanding with Virginia utility Dominion Energy to look into SMR projects. Earlier this year, Dominion put out a request for proposals for SMRs at its existing North Anna site near Richmond, whose two reactors have a capacity of around 1,800 megawatts.
The Department of Energy has estimated that existing nuclear sites could host an additional 60 to 95 gigawatts of new nuclear power, which means the United States’ nuclear output could double without having to set up a new site for a reactor. The North Anna site has an “early site permit” from the NRC, which approves a particular site for nuclear reactors.
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation.What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.