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Just don’t confuse them with SMRs.

When politicians tell the CEO of Radiant that they love small modular reactors, he groans inwardly and just keeps smiling.
Doug Bernauer’s Radiant is not trying to make SMRs. His company — a VC-backed startup currently in the pre-application phase with the Nuclear Regulatory Commission — is designing a portable nuclear microreactor, which is intended to replace diesel generators. The politicians don’t always know the difference, Bernauer told me.
The SMR-microreactor confusion is common outside the world of nuclear. While they are both versions of advanced nuclear technologies not yet built in the United States (all of our nuclear power comes from big, old-fashioned plants), SMRs and microreactors have different designs, power outputs, costs, financing models, and potential use cases.
Unlike SMRs, microreactors are too small to ever become key energy players within a full-sized grid. But they could replace fossil fuels in some of the hardest to decarbonize sectors and locations in the world: mines, factories, towns in remote locations (especially Alaska and northern Canada), military bases, and (ironically) oil fields. For those customers, they could also make power supply and prices more consistent, secure, and dependable than fossil fuels, whose fluctuating prices batter industrial sectors and the residents of remote towns without discrimination.
Perhaps even more importantly, microreactors’ small size and comparatively low price could make them a gateway drug for new nuclear technologies in the U.S., helping companies and regulators build the know-how they need to lower the risk and cost for larger projects.

The big problem with this idea? No functional commercial nuclear microreactor actually exists. Industry experts cannot say with confidence that they know what the technological hurdles are going to be, how to solve them, or what it’s going to cost to address them.
“My crystal ball is broken,” John Parsons, an economist researching risk in energy at the Massachusetts Institute of Technology, said when I asked him whether he believed microreactors would make it through the technical gauntlet. “I’m hopeful. But I’m also very open-minded. I don’t know what’s going to happen. And I really believe we need a lot of shots on goal, and not all shots are going to go through,” he said.
Recent advances in both technology and regulation indicate that in the next few years, we should have some answers.
Private companies are expecting to conduct their first tests in about two years, and they are in conversations with potential customers. Radiant is hoping to test at the Idaho National Laboratory in 2026; Westinghouse and Ultra Safe Nuclear Corporation have contracts to test microreactors there as well. BWX Technologies is currently procuring the parts for a demonstration reactor through the Department of Defense’s prototype program — called Project Pele — and plans to test in about two years; X-energy signed an expanded contract in 2023 to build a prototype for Project Pele as well. Eielson Air Force Base in Alaska is commissioning a pilot microreactor. Schools including Pennsylvania State University and the University of Illinois have announced their interest as potential customers. Mining companies and other industry players in Alaska regularly express interest in embracing this technology.
The government is also quietly smoothing the way, removing barriers to make those tests possible. On March 4, the Nuclear Regulatory Commission released a new draft of licensing rules that will shape the future for these microreactors, and early March’s emergency spending bill included more than $2.5 billion repurposed for investment in a domestic supply chain of the type of nuclear fuel most advanced reactors will require.
“If we are truly committed as a nation to sticking to our climate goals, then we will absolutely get to a place where there are a bunch of microreactors replacing otherwise difficult to decarbonize sectors and applications,” said Kathryn Huff, the head of the office of nuclear energy at the Department of Energy.
Eric Gimon, a senior fellow at the nonprofit Energy Innovation, was a microreactor skeptic until about a month ago. His own recent research has made him far more optimistic that these microreactors might actually be technologically feasible, he told me when I reached out for an honest critique. “If they can make (the microreactors) work, it’s attractive,” he said. “There are a lot of industrial players that are going to want to buy them.”
“If your goal is to produce power at 4 cents per kilowatt hour, why would you buy any power that’s way more expensive than what you need? You do it because if that adds diversity to the portfolio and less variance, then you can get an overall portfolio that is lower cost or a lower risk for the same cost,” he told me.
Everyone I spoke to in the industry began our conversation with the same analogy: In the world of nuclear, full-size power plants are to airports what microreactors are to airplanes. Just as it's easier to build and regulate an airplane than an entire airport, in theory the microreactors should be built in a factory, regulated and licensed in the factory, and then rented out to or sold to the end user. An airport requires approvals specific to the construction site, a huge team of people employed for a long time to construct it and then another team to maintain it, and complicated financing based on the idea that the airport could be used for 50 or more years; a full-scale nuclear plant is the same. An airplane can basically be ordered online; a microreactor should be the same.
“They are sized to be similar to that kind of scope, where you could really consolidate a lot of the chemical and manufacturing oversight to a single location rather than moving thousands of people to a construction site,” Huff told me.
Microreactors should produce relatively small amounts of power (a maximum of 10-20 megawatts) and lots of heat with a tiny amount of nuclear fuel. They are usually portable, and if they aren’t portable they require a limited amount of construction or installation. Because it should not be possible to handle the fuel once it leaves the factory (most of the proposed reactor designs set the fuel deep into a dense, inaccessible matrix), these reactors wouldn’t require the same safety and security measures on site as a nuclear power plant. They’re easily operated or managed by people without nuclear expertise, and their safety design — called passive safety — should make it technically impossible for a reactor to meltdown.
“The excess reactivity is so small that you actually can’t get the reactor hot enough that you could start damaging the fuel. That’s something unique about the microreactor that would not necessarily be true for other types of nuclear,” Jeff Waksman, the program manager for the Department of Defense’s Strategic Capabilities Office, told me.
Microreactors should also cost on the order of tens of millions of dollars, not hundreds. That’s low enough that a company, university, town, or other similarly-sized entity could buy one or more of them. Because they’re cheaper than traditional nuclear, they don’t require lenders to take big risks on money committed over a very long period of time. If a mining company wanted to replace a diesel generator with one of these, they should be able to finance it in exactly the same way (a loan from the bank, for example). This makes their financial logic quite different from SMRs, which can suffer from some of the same problems as full-size nuclear power plants (see: NuScale’s recent setbacks).
“All of the things that contribute to a faster innovation cycle are true for microreactors compared to larger reactors. So you can just — build one,” said Rachel Slaybaugh, a partner at DCVC and a board member at Radiant, Fervo Energy, and Fourth Power.
Because microreactors max out at around 20 megawatts of energy, the economies of scale that eventually bring down energy prices for full-scale nuclear power can’t be replicated. While Jigar Shah, the director of the loan programs office at the DOE, speculated in a recent interview that costs might eventually go just below 10 cents per kilowatt hour, Parsons is skeptical that anyone could provide a practical cost estimate. It’s absolutely going to cost more than either large reactors or SMRs, Parsons said.
But cost comparisons to other types of nuclear technology aren’t practical, according to Slaybaugh. “You are going to be able to command a cost parity with diesel generators. It’s easy to get to a point where they make financial sense,” she said. “You can see why someone would pick one: This is not making noise, it’s not making local air pollution, you don’t have to deal with the diesel logistics complexity. You sell it at price parity, and maybe the first few customers pay a premium because they are excited about it.”
That premium price for the initial technology is the largest hurdle raised by every single person I spoke with, from the DOE to analysts and researchers to the different microreactor companies.
But there is one customer already inclined to pay a substantial premium: the Department of Defense. The U.S. military has greater resiliency and security needs than other consumers when it comes to its power supply, making the cost of microreactors more palatable. (And it doesn’t hurt that the taxpayer already foots the bill for enormous defense contracts, including for aircraft carriers and submarines powered by nuclear reactors). It’s common for technological innovations (think the internet, GPS, advanced prosthetics) to begin with the military and then expand outward to the consumer. Project Pele and the requests for proposals at Eielson Air Force Base both indicate that the pathway might be one for microreactors, according to Parsons.
For the president of BWXT Advanced Technologies, the Department of Defense’s decision to commission his company’s microreactor for Project Pele removed his last doubts that these microreactors would eventually be built. “The DOD being the first mover has extreme advantage for the country, and for eventually the commercial industry,” Joseph Miller told me. “The first mover was the barrier, and now it’s just 1,000 things that we’re working on all day every day to make it real, and there’s no gotcha out there that I see. That wasn’t the case when we were doing the design work, but now we’re making procurements to be able to assemble and deliver the reactor.”
Regardless of whether Miller’s optimism is well-founded, the experience gained in trying to make them happen is invaluable for a nuclear industry that’s been stuck in the mud for far too long.
“I've been talking with the federal government about the fact that there’s broader value in terms of getting wins on the board for the nuclear sector and getting the industry more experienced with building new things in a way that isn't quite so complicated,” Slaybaugh said. “Let’s have them build a thing that’s small and kind of cheap, and then they can go build a bigger thing that’s a little more expensive and a little more complicated. Let’s get some real reps in with microreactors.”
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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.