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The Department of Energy is advancing 24 companies in its purchase prize contest. What these companies are getting is more important than $50,000.

The Department of Energy is advancing its first-of-a-kind program to stimulate demand for carbon removal by becoming a major buyer. On Tuesday, the agency awarded $50,000 to each of 24 semifinalist companies competing to suck carbon dioxide out of the atmosphere on behalf of the U.S. government. It will eventually spend $30 million to buy carbon removal credits from up to 10 winners.
The nascent carbon removal industry is desperate for customers. At a conference held in New York City last week called Carbon Unbound, startup CEOs brainstormed how to convince more companies to buy carbon removal as part of their sustainability strategies. On the sidelines, attendees lamented to me that there were hardly even any potential buyers at the conference — what a missed opportunity.
Conference panelists asserted that the industry needed to rebuild trust. Purchasing carbon credits has become a risky strategy for companies. In one investigation after another, journalists and researchers have shown that many of the projects behind these credits fail to produce the climate benefits they advertise. There’s a class action lawsuit against Delta Air Lines for marketing itself as “carbon neutral” after purchasing such questionable carbon offsets.
Carbon removal credits are technically different from the offsets that companies bought in the past, which were based on projects that reduce emissions to the atmosphere rather than remove carbon that’s already heating the planet. But there’s still a risk of sham projects. And because the field is relatively new, there’s not yet a set of widely agreed-upon standards to measure and verify how much carbon is being removed.
The Department of Energy hopes that by selecting 24 companies that have been vetted by government scientists, it’s sending a signal to the private sector that there are at least some projects that are legitimate. “We can’t wait to invest in CDR until those standards have been codified,” Noah Deich, the agency’s deputy assistant secretary of carbon management, told me. “We need to invest now so that we actually get the data that we can use to inform the standards, and then over time codify those standards and strengthen and improve them.”
The semifinalists represent a wide range of carbon removal methods. Nine of the companies are building machines that capture carbon dioxide directly from the air. Seven take advantage of the natural ability of plants and algae to suck up carbon, and have developed systems to sequester that carbon for far longer than would otherwise occur. Five employ rocks that naturally absorb carbon and have figured out how to speed up the process. The last three capture carbon from the ocean, enabling the world’s biggest carbon sink to draw down more from the atmosphere.
To proceed to the final round, all of these companies will have to draw up contracts that say how quickly they will be able to remove the promised tons of carbon, and who they will work with to measure and verify the process.
The Biden administration is spending billions on research, development, and deployment of carbon removal. Some of the semifinalists, like Climeworks, Heirloom Carbon, and 1PointFive, were already selected for grants from the DOE to build the U.S.’s first “direct air capture hubs” — projects capable of removing one million tons of carbon from the air per year. But those hubs will fail if the companies don’t ultimately find buyers for their carbon removal. “Every single CDR project that we’re seeing today requires some sort of voluntary credit sale to be profitable,” said Deich.
The Department of Energy’s $30 million budget to buy carbon removal is relatively small. The semifinalists said they could deliver a wide range of credits with their share of the funds, from 3,000 over a three-year period, to more than 30,000. In any case, DOE is unlikely to afford much more than 100,000 tons of carbon taken out of the atmosphere, equivalent to about 0.002% of the CO2 the United States emitted in 2022. When distributed among 10 companies, it’s certainly not enough to finance a project. But Deich told me he sees this contest as a public-private partnership. The agency is challenging the semifinalists to leverage the DOE’s recognition to try and sell as many credits as they can. It’s one of the criteria they’ll be judged on for the final phase of the contest.
Several semifinalists I spoke with were optimistic the DOE’s backing would help. “One of the things that the private sector is wrestling with is the technical underwriting of various carbon dioxide removal technologies,” Barclay Rogers, the CEO of the carbon removal company Graphyte, told me. Graphyte’s process almost sounds too simple to work. The company takes discarded plant matter from forests and fields, dries it out so that it doesn’t decompose, compresses it into bricks, and then buries them. Graphyte has already built a small processing facility in Arkansas and secured a burial site that could store an estimated 1.5 million tons of CO2. Rogers was excited to have DOE’s backing as “a broad signal to the market of the viability of Graphyte’s carbon casting process.”
Others were grateful that the government was branching out to new technologies. To date, most of the DOE’s carbon removal programs have supported direct air capture. Companies working on other approaches have been shut out of funding opportunities, and some worry that this has contributed to a perception among buyers that direct air capture is the only valid method. “We think this is a huge step forward, since it’s really the first time not only that the U.S. government is going to become a purchaser of carbon removal, but also funding a full range of carbon removal solutions,” Nora Cohen Brown, head of market development and policy at Charm Industrial, told me. (Charm also buries plant waste underground, but in the form of oil.) “We really think that biomass CDR has immense potential,” she said. “It’s a big deal to have DOE’s blessing for that pathway.”
Edward Sanders, the chief operating officer of a startup called Equatic, told me that being a semifinalist meant the company would be able to build a plant in the U.S. much sooner than it initially planned. Equatic has developed technology to remove carbon from seawater, enabling the ocean to take up more carbon. It’s currently building its first large-scale plant in Singapore. “This tells prospective future buyers that there is a role to play in the near term in the U.S. for a marine-based pathway.”
Many of the companies on the list, including the three I just mentioned, have already been relatively successful in selling credits. Graphyte sold 10,000 to American Airlines. Equatic has a 62,000 deal with Boeing. Charm will remove more than 100,000 tons for Frontier Climate, a group of buyers that includes Stripe, Alphabet, Shopify, and Meta. But even though a handful of tech companies and airlines are buying carbon removal, these sweeping gestures are not enough to sustain the industry, let alone grow it to the scale that scientists say will be necessary to halt climate change.
DOE’s purchase may help increase confidence in some of these companies and approaches, but it may not do much to solve another problem: There’s little incentive for anyone to pay for carbon removal today, and it’s much more expensive than other options companies have to reduce their emissions. Credits can cost between several hundred to more than a thousand dollars each.
Deich said the agency was trying to set an example for other buyers. Instead of creating a net-zero target and searching for the cheapest credits to accomplish its goal, it’s prioritizing quality and only buying what it can afford. “We need to pay what it costs,” he said, “and then developers can develop projects and figure out how to do it cheaper so that over time, it starts to come down the cost curve significantly, and we can buy larger and larger quantities.”
But this is only the near term plan to help the industry mature. Ultimately, Deich doesn’t think that the voluntary trade of credits will be enough to support the levels of carbon removal that will make a difference in climate change. He sees this purchase prize program as a way to start building the government’s capacity to play a larger role. “There’s going to need to be some sort of mandate or public procurement that happens for the field to really scale beyond 2030,” he said.
Avnos, Inc. — direct air capture — 3,000 credits
Carbon America — direct Air Capture — 3,400 credits
CarbonCapture, Inc. — direct air capture — 3,333 credits
Climeworks — direct air capture — 3,500 credits
Global Thermostat and Fervo Energy — direct air capture — 3,500 credits
Heirloom — direct air capture — 3,030 credits
1PointFive — direct air capture — 3,861 credits
280 Earth — direct air capture — 3,000 credits
8 Rivers — direct air capture — 7,200 credits
Arbor Energy — biomass with carbon removal and storage — 8,000 credits
Carbon Lockdown — biomass with carbon removal and storage — 17,143 credits
Charm Industrial — biomass with carbon removal and storage — 5,000 credits
Clean Energy Systems — biomass with carbon removal and storage — 11,320 credits
Climate Robotics — biochar — 30,252 credits
Graphyte — biomass with carbon removal and storage — 30,000 credits
Vaulted Deep — biomass with carbon removal and storage — 10,320 credits
Alkali Earth — enhanced rock weathering and mineralization — 8,108 credits
CREW Carbon — enhanced rock weathering and mineralization — 7,500 credits
Eion — enhanced rock weathering and mineralization — 9,900 credits
Lithos Carbon — enhanced rock weathering and mineralization — 8,109 credits
Mati Carbon — enhanced rock weathering and mineralization — 4,561 credits
Ebb Carbon — marine-based carbon removal — 3,000 credits
Equatic — marine-based carbon removal — 6,521 credits
Vycarb Inc. — marine-based carbon removal — 3,000 credits
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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.