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That may be not be the case for long, though, as the AI company poaches energy talent from Google, Meta, the DOE, and others.

To the extent that any $965 billion artificial intelligence company built on pirated model training material can be “good-coded,” Anthropic has somehow managed to earn that reputation, at least relative to its peers. It’s somewhat surprising, then, that the company has been silent on climate change.
Until today. Sort of.
Frontier Climate, a corporate initiative to drive advances in carbon removal, announced a $915 million advance market commitment growth fund on Wednesday, naming Anthropic as one of the participating buyers.
Frontier supports projects that are capable of sucking large amounts of carbon out of the atmosphere, a solution scientists say is a critical supplement to reducing emissions in order to curb climate change. With the new fund, Frontier is shifting its focus from supporting early innovation to taking bigger swings on fewer, larger projects. Anthropic, alongside Google, Stripe, Shopify, and others, has committed to co-sign offtake agreements to buy the resulting carbon removal.
The news throws into relief Anthropic’s nearly complete absence from the clean energy development picture. The company’s primary contribution to climate change is its energy consumption, which is driving up coal and natural gas-fired power generation. According to data shared with Heatmap by the market intelligence company Cleanview, the average carbon intensity of Anthropic’s data centers is among the highest of its competitors, second only to xAI. Yet unlike many of peers, the company has not announced a single clean power purchase agreement to date.
Anthropic’s reputation as the ethical AI company traces back to its origin story, which begins with a guy leaving OpenAI to build a company more committed to AI safety. That guy, Anthropic CEO Dario Amodei, speaks and writes openly about the risks to humanity posed by powerful AI. Anthropic has also donated millions to support the development of AI regulations and prohibited the use of its models for mass surveillance or autonomous weapons, putting it at odds with the Trump administration. The company has focused on text-based products, in part to avoid the risk of users creating child sexual abuse material.
To date, however, the company has not publicized any sustainability strategy, nor has it published an annual sustainability report. It has not made any public commitments to use clean energy or reduce emissions. It is not a member of the Corporate Energy Buyers Association, a trade group representing companies that buy emissions-free energy. The only mention of any of the above themes in the company’s “Transparency Hub” is a note that many of its customers use Claude, Anthropic’s AI model, to “increase public health, education, environmental sustainability, and societal benefits.”
To be fair, it’s not that Anthropic has never discussed clean power. In a July 2025 report titled “Building AI in America,” the company made recommendations for ensuring the U.S. can support a competitive AI industry. It advocated for an “all of the above” approach to power generation to meet AI demand in the near term, which would “maximize opportunities for AI to catalyze emerging energy technologies, such as next-generation geothermal and advanced nuclear” down the line. It endorsed permitting reform to speed up transmission development and called for increased domestic production of electrical grid equipment.
In a section on the use of federal lands, the report also made a subtle dig at the Trump administration’s discriminatory policies against wind and solar. It noted that “solar, batteries, and geothermal may prove the most economically efficient choices before advanced nuclear power comes online,” and that “limiting developers’ opportunities to procure some power sources but not others” could make American AI “less competitive in a period of global competition.”
From one perspective, it makes sense that Anthropic hasn’t gone out of its way to procure clean power. To date, the company has mostly leased data center capacity from other providers that do have clean power commitments, including Amazon and Google. That will soon be the case no longer, however, as it is planning to both build its own data centers and rent capacity from xAI’s Colossus data centers, which rely heavily on power from on-site natural gas turbines. Colossus is currently the subject of a lawsuit filed by the NAACP over its air pollution.
Anthropic also doesn’t need to own and operate its own data centers to assume responsibility on climate change. Jane Flegal, a senior fellow at the think tank the Searchlight Institute, argued in a recent paper that companies should forget trying to minimize their individual carbon footprints and just make the most high-leverage investments they can, whether that’s helping to finance a geothermal power plant or a transmission line or a new transformer for the grid.
Anthropic did not respond to my inquiry for this story, but there’s some evidence to suggest that the company may be starting to take on climate and clean energy beyond the Frontier deal.
In March and April, Anthropic made three new hires to lead its energy strategy who all have a background in clean power. Ariel Horowitz is the company’s new data center energy lead. She previously spent five years at the Massachusetts Clean Energy Center before becoming the deputy director of grid modernization at the federal Department of Energy during the Biden administration. Sana Ouiji, who spent six years at Google working on data center clean energy strategy, is one of Anthropic’s new energy leads. Another new energy lead, Andrew Rudersdorf, came from roles sourcing energy for Meta’s data centers, including renewables.
The company is also currently hiring for a director of infrastructure and energy accounting, and looking for someone with “experience accounting for energy contracts — Power Purchase Agreements, Virtual PPAs, Renewable Energy Credits, or similar commodity arrangements,” according to the job listing.
Anthropic also appears to be preparing for mandatory emissions reporting rules that large companies will soon be subject to in California and the European Union. In April, the company hired Chris Power, who previously worked in sustainability reporting for Amazon and Salesforce, as its new head of non-financial reporting and strategy, according to LinkedIn. In a post announcing his new job, Power said part of his role would be building out the company’s sustainability reporting capabilities.
While funding carbon removal through Frontier is a major step forward for Anthropic on climate, the company is sure to face criticism over its order of operations. Scientists largely agree that carbon removal is an important solution for down the line, but only if the world also dramatically reduces the amount of carbon it emits in the first place — not least because doing so is less expensive and less resource-intensive than removing emissions in the future.
My colleague Robinson Meyer had Hannah Bebbington Valori, the head of Frontier, on his podcast Shift Key this morning, and asked her whether Anthropic is an example of the common concern that the potential to remove carbon from the atmosphere in the future could be used to delay cutting emissions today.
Bebbington Valori didn’t comment on Anthropic specifically. But she did say that most of the companies buying carbon removal with Frontier and otherwise do have broader climate programs. She also noted that buying carbon removal from Frontier is not a “get out jail free card,” since it costs hundreds of dollars per carbon credit, and that in general the world is spending a lot more money on decarbonization than carbon removal.
“And then, you know, the other way to answer this question,” she added, “is we should hold folks’ feet to the fire on this. People who buy carbon removal, people who don’t buy carbon removal, should be thinking about decarbonizing their emissions.”
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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.