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Ambient Carbon is doing the methane equivalent of point source carbon capture in dairy barns.

In the world of climate and energy, “emissions” is often shorthand for carbon dioxide, the most abundant anthropogenic greenhouse gas in the world. Similarly, talk of emissions capture and removal usually centers on the growing swath of technologies that either prevent CO2 from entering the atmosphere or pull it back out after the fact.
Discussions and frameworks for reducing methane, which is magnitudes more potent than CO2 in the short-term, have been far less common — but the potential impact could be huge.
“If you can accelerate the decrease of methane in the atmosphere, you actually could have a much more significant climate impact, much faster than with CO2,” Gabrielle Dreyfus, chief scientist at the Institute for Governance & Sustainable Development, told me. “People often talk about gigatons of CO2 removal. But because of the potency of methane, for a similar level of temperature impact, you’re talking about megatons.”
Over the past year or so, this conversation has finally started to gain traction. Last October, the National Academies of Sciences, Engineering, and Medicine released a report on atmospheric methane removal, recommending that the U.S. develop a research agenda for methane removal technologies and establish methodologies to assess their impacts. Dreyfus chaired the committee that authored the report.
And one startup, at least — Denmark-based Ambient Carbon — is trying to commercialize its methane-zapping tech. Last week, the company announced that it had successfully trialed its “methane eradication photochemical system” at a dairy barn in Denmark, eliminating the majority of methane from the barn’s air. It’s also aiming to deploy a prototype in the U.S., at a farm in Indiana, by year’s end.
The way the company’s process works is more akin to point source carbon capture, in which emissions are pulled from a smokestack, than it is to something like direct air capture, in which carbon dioxide is removed from ambient air. Inside a dairy barn, cows are continually belching methane, producing high concentrations of the gas that are typically vented into the atmosphere. Instead, Ambient Carbon captures this noxious air from the barn’s ventilation ducts and brings it into an enclosed reactor.
Inside the reactor, which uses electricity from the grid, UV light activates chlorine molecules, splitting their chemical bonds to form unstable radicals. These radicals then react with methane, breaking down the potent gas and converting it into CO2, water, and other byproducts. The whole process mimics the natural destruction of atmospheric methane, which would normally take a decade or more, while Ambient Carbon’s system does it in a matter of seconds. Much of the chlorine gets recycled back into the process, and the CO2 is released into the air.
That might sound less than ideal. Famously, carbon dioxide is bad. This molecule alone is responsible for two-thirds of all human-caused global warming. But because methane is over 80 times as potent as CO2 over a 20-year timeframe, and since it would eventually break down into carbon dioxide in the atmosphere anyway, accelerating that inevitable process turns out to be a net good for the climate.
“The amount of CO2 produced by methane when it oxidizes has about 50 times smaller climate effect than the methane that produced it,” Zeke Hausfather, a climate scientist and climate research lead at Stripe, told me. “So you get a 98% reduction in the warming effects by converting methane to CO2, which I think is a pretty good deal.”
As he sees it, preventing methane emissions in the first place or destroying the molecules before they’re released, as Ambient Carbon is doing, is far more impactful than pursuing after-the-fact atmospheric methane removal. Because while CO2 can linger in the air for centuries — making removal a necessity for near-term planetary cooling — when it comes to methane, “if you cut emissions, you cool the planet pretty quickly, because all that previous warming from methane goes away over the course of a decade or two.”
Agriculture represents 40% of global methane emissions, the largest single source, making the industry a ripe target for de-methane-ization. Ambient Carbon’s tech is only really effective when methane concentrations are relatively high, the company’s CSO, Matthew Johnson, told me — which still leaves a large addressable market given that in many parts of the world, cows are mostly kept in dairy barns, where methane accumulates.
In its trial, Ambient Carbon’s system eliminated up to 90% of dairy barn methane at concentrations ranging from 4.3 parts per million to 44 parts per million. But while the system can theoretically operate at the lower end of that range, Johnson told me it’s only truly energy efficient at 20 parts per million and above. “It’s a question of cost benefit, because we could remove 99% [of the methane from dairy barns] but if you do that, that marginal cost is more energy,” Johnson explained, telling me that the company’s system will likely aim to remove between 80% to 90% of barn methane.
One reason methane destruction and removal technology hasn’t gained much traction is that capturing methane — whether from the atmosphere, a smokestack, or a ventilation duct — is far more challenging than capturing CO2, given that it’s so much less prevalent in the atmosphere. Atmospheric methane is relatively diffuse, with an average concentration of just about 2 parts per million, compared with roughly 420 parts per million for CO2. “I heard the analogy used that if pulling carbon dioxide out of the atmosphere is finding a needle in a haystack, pulling methane out of the atmosphere is pulling dust off the needle in that haystack,” Dreyfus told me.
Because of methane’s relative chemical stability, removing it from the air also requires a strong oxidant, such as chlorine radicals, to break it down. CO2 on the other hand, can be separated from the air with sorbents or membranes, which is a technically simpler process.
Other nascent approaches to methane destruction and removal include introducing chlorine radicals into the open atmosphere and adding soil amendments to boost the effectiveness of natural methane sinks. Among these options, Ambient Carbon’s approach is the furthest along, most well-understood, and likely also lowest-risk. After its successful field trial, “there is not much uncertainty remaining about whether or not this does the claimed thing,” Sam Abernethy, a methane removal scientist at the nonprofit Spark Climate Solutions, told me. “The main questions remaining are whether they can be cost-effective at progressively lower concentrations, whether they can get more methane destroyed per energy input. And that’s something they’ve been improving every year since they started.”
Venture firms have yet to jump onboard though. Thus far, Ambient Carbon’s funding has come from agricultural partners such as Danone North America and Benton Group Dairies, which are working with the company to conduct its field trials. Additional collaboration and financial support comes from organizations such as the Hofmansgave Foundation, a Danish philanthropic group, and Innovation Fund Denmark. Johnson told me the startup also has a number of unnamed angel investors.
Whether or not this tech could ever become efficient enough to tackle more dilute methane emissions — and thus make true atmospheric methane removal feasible — remains highly uncertain. Questions also remain about how these technologies, if proven to be workable, would ultimately be able to scale. For instance, would methane destruction and removal depend more on government policies and regulations, or on market-based incentives?
In the short term, voluntary corporate commitments appear to be the main drivers of interest when it comes to methane destruction specifically. “A lot of food companies have made public pledges that they’re going to reduce their greenhouse gas emissions,” Johnson told me. As he noted, ubiquitous brands such as Kraft Heinz, General Mills, Danone, and Starbucks have all joined the Dairy Methane Action Alliance, which aims to “accelerate action and ambition to drive down methane emissions across dairy supply chains,” according to its website.
The way Ambient Carbon envisions this market working, its food industry partners would be the ones to encourage farms to buy the startup’s methane-destroying units, and would pay farmers a premium for producing low-emissions products. This would enable farmers to cover the system’s cost within five years, and eventually generate additional revenue. Whether the food companies would pass the green premium onto consumers, however, remains to be seen.
But as with the carbon dioxide removal sector, voluntary corporate commitments and carbon crediting schemes will likely only go so far. “Most of what’s going to drive methane elimination is going to be policy,” Hausfather told me. Denmark, where Ambient Carbon conducted its first trial, is set to become the first country in the world to implement a tax on agricultural emissions, starting in 2030. Europe also has a comprehensive greenhouse gas reduction framework, as do states such as California, Washington, and New York.
“It’s such a low-hanging fruit of climate impacts that it’s hard to imagine it’s not going to be regulated pretty substantially in the future,” Hausfather told me. But stringent regulatory requirements are often shaped by the technologies that have been established as effective. And in that sense, what Ambient Carbon is doing today could help pave the way for the ambitious methane targets of tomorrow.
“Moving from a lot of the voluntary pledges that we have towards more mandatory requirements I think is going to have a really important role to play,” Dreyfus told me. “But I think it’s going to be easier if we have more proven technologies to get there.”
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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.