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A climate tech company powered by natural gas has always been an odd concept. Now as it moves into developing data centers, it insists it’s remaining true to its roots.

Crusoe Energy has always been a confusing company, whose convoluted green energy credentials raise some eyebrows. It started as a natural gas-powered Bitcoin miner, then became a climate tech unicorn thanks to the fact that its crypto operations utilized waste gas that would have otherwise been flared into the atmosphere. It’s received significant backing from major clean tech investors such as G2 Venture Partners and Lowercarbon Capital. And it touts sustainability as one of its main selling points, describing itself as “on a mission to align the future of computing with the future of the climate,” in part by “harnessing large-scale clean energy.”
But these days, the late-stage startup valued at $2.8 billion makes the majority of its revenue as a modular data center manufacturer and cloud services provider, and is exploring myriad energy solutions — from natural gas to stranded solar and wind assets — beyond its original focus. Earlier this week, it announced that it would acquire more than 4 gigawatts of new natural gas capacity to power its data center buildout. It’s also heavily involved in the Trump-endorsed $500 billion AI push known as the Stargate Project. The company’s Elon Musk-loving CEO Chase Lochmiller told The Information that his team is “pouring concrete at three in the morning” to build out its Stargate Project data centers at “ludicrous speed.”
Some will understandably take a glance at this rising data center behemoth and wonder if climate tech is really an accurate description of what Crusoe actually does these days. As the steady drumbeat of announcements and press surrounding Crusoe’s partnerships and power deals has built up, I certainly wondered whether the company had pivoted to simply churning out data centers as quickly as possible. But investors — and the company itself — told me that’s far from true.
Clay Dumas, a partner at Lowercarbon Capital, which invested in the company’s $128 million Series B and $350 million Series C rounds, told me that Crusoe remains as mission-focused as ever. “When it comes to power, Crusoe is the most aggressive innovator in the AI infrastructure space,” Dumas said via text message. “There is no better team to integrate new energy sources for compute workloads so we don’t turn the whole world into one giant fracking operation.”
Ben Kortlang, a partner at G2 Venture Partners, which led the company’s Series C round, agreed, telling me that Crusoe is best positioned to build out data centers in a way that doesn’t “plant the seeds for 50 or 100 years of environmental damage.”
Yet it’s hard to pin down exactly what the energy mix will end up looking like for the high-profile data centers in Crusoe’s pipeline, including the complex it’s currently building for OpenAI, which is part of the Stargate project in Abilene, Texas. The company announced on Tuesday that it had started construction on the second phase of the facility, which expands the total scope from around 200 megawatts of power across two facilities to include a total of eight buildings over 4 million square feet, using 1.2 gigawatts of power. Crusoe’s spokesperson, Andrew Schmitt, declined to comment on whether this additional capacity would serve Stargate.
What Schmitt did confirm via email is that while the project has a 1.2 gigawatt grid interconnection — enough to meet the entirety of its power needs — Crusoe will also rely on natural gas as “backup energy,” as well as behind-the-meter energy solutions such as solar and battery storage to “create a highly optimized and efficient power plan for the full site.”
The company also won’t speculate on how much energy will come from each particular source. To some degree, the exact grid energy mix and what additional energy resources will get built is unknowable, though Schmitt told me that Crusoe chose Abilene for the area’s abundant wind resources. There’s often too much of it for the grid to handle, meaning the excess energy is curtailed or sold at a negative price. But if a large load — say, a Crusoe data center — were added to the grid, less renewable energy would go to waste, thereby increasing the profitability of renewables projects and incentivizing more buildout overall.
This strategy, Schmitt told me, “reflects [Crusoe’s] guiding principle of bringing load to stranded and under-utilized energy” rather than bringing energy sources to the data center load itself, as the industry has traditionally done. G2, the venture capital firm, is all in on this premise. “By putting a big load center right there in a fantastic renewable resource environment, the thing that will naturally get built is renewables,” Kortlang told me. “Crusoe doesn’t need to mandate that, or control that, or be the one building the renewables. They’re creating the demand.”
But this approach is only net-positive for the climate if it increases the share of renewables in the mix overall, i.e. if new, large loads are leading to more solar and wind buildout than new natural gas buildout. And while a renewables-heavy buildout seems to be what Crusoe and its investors are assuming will happen, Crusoe can’t actually control what gets put on the grid or the economic or political factors that drive those decisions.
It appears to be inevitable that gas will play some role, even if it’s providing power directly to the data center itself and not to the grid overall. According to Business Insider, public filings with the Texas Commission on Environmental Quality show that so far, Crusoe plans to operate on-site natural gas turbines at the Abilene facility totaling 360 megawatts of power. That represents 30% of the data center’s total 1.2 gigawatts of announced capacity.
Although powering data centers with new solar or wind is usually the cheapest option — especially in places like Abilene — building natural gas can be quicker and more reliable, assuming you’re able to acquire the severely backlogged turbines. That’s something Kortlang readily acknowledged to me. “We will see a lot of buildout of natural gas over the last half of this decade, because it’s the easiest thing to controllably build that gets you large amounts of baseload power quickly,” he said.
Kortlang didn’t seem fazed by Crusoe’s announcement this Monday that it’s pursuing a joint venture with the investment firm Engine No. 1, giving the company access to a whopping 4.5 gigawatts of natural gas power. To put that in perspective, there’s only about 25 gigawatts of existing data center capacity in the U.S. today. Schmitt told me this latest announcement is unrelated to the Stargate Project.
Engine No. 1 has secured seven GE Vernova natural gas turbines through a partnership with Chevron announced in January. As Chevron puts it, this joint development will create “scalable, reliable power solutions for United States-based data centers running on U.S. natural gas.” But critically, as Crusoe emphasized, “plans for these data centers include the use of post-combustion carbon capture systems,” which are designed to capture the CO2 from power plants after the fossil fuels are burned, but before they’re released to the atmosphere.
Presumably, these plans will also incorporate either some way to utilize the CO2 in industry or to permanently sequester it underground, though the company hasn’t mentioned anything to this effect. This technology hasn’t been a part of the company’s strategy in the past, though Kortlang told me that Crusoe has been evaluating the viability of carbon capture and storage for as long as G2 has been involved.
Gas-fired power plants paired with carbon capture have never really caught on, simply because they’re pretty much bound to cost more than not building carbon capture. When I asked Kortlang if this meant Crusoe was banking on its data center customers being willing to pay more for greener power, he told me that was “to be determined.” Who exactly was going to design and build the carbon capture technology — Crusoe, Chevron, or another to-be-named project partner — was also “to be determined.” But there’s not actually all that much time to figure it out. In Chevron’s announcement, the company said it was planning to deliver power by the end of 2027.
So, is Crusoe still a climate tech company? The answer seems to be yes — or at least it’s definitely still trying to be.
No other developer has been as diligent about utilizing stranded assets to power data centers. And with its expansion into carbon capture, it certainly seems Crusoe is leaning into an all-of-the-above approach to data center decarbonization. As Dumas told me, “before too long” we’ll also see Crusoe powering its operations with “geothermal, bioenergy, and after that fusion technologies that keep them out ahead of the pack.”
But Crusoe’s business model — and its clean tech bonafides in general — have always relied upon ultimately unprovable counterfactuals. First it was: If this waste gas weren’t powering Bitcoin mining, it would be vented into the atmosphere. That seemed fairly certain, since flaring is common practice in many areas. Now the company is pitching a somewhat fuzzier hypothetical: If this Crusoe data center, powered by some combination of natural gas and stranded renewables, were instead built by another company, it would inevitably be dirtier. Whether or not Crusoe is a boon for the climate ultimately depends upon the degree to which that unquantifiable claim ends up being true.
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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.