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What to watch for when the agency releases its final decision on the greenhouse gas endangerment finding.

Any day now, Trump’s Environmental Protection Agency is expected to officially rescind what climate advocates refer to as “the endangerment finding,” its 2009 determination that greenhouse gas emissions threaten Americans’ public health and welfare and therefore require regulation.
Whether the decision holds up to the inevitable legal challenges and what it all means for climate policy, however, will hinge on the justification the EPA provides for reversing course.
The EPA deployed a battery of arguments when it initially proposed revoking the finding last July. It reinterpreted Supreme Court readings of the Clean Air Act and claimed it did not have the authority to regulate carbon pollution. It questioned climate science and posited that curbing U.S. climate pollution would do little to affect global warming.
The 2009 endangerment finding is not unique — all U.S. pollution regulations under the Clean Air Act start with an endangerment finding. The EPA must review the scientific literature, hold hearings, and take public comments on whether emissions of a given pollutant threaten public health and welfare before it can regulate that substance.
The endangerment finding on greenhouse gases paved the way for the EPA to regulate vehicle emissions, specifically, but it was later used to support rules for power plants and oil and gas drilling. By reversing it, the agency will not only clear the way to repealing these standards, it will deny future administrations the legal authority to replace them. That’s a significant escalation from what Trump managed during his first term, when he rolled back greenhouse gas regulations established by the Obama administration, replacing them with weaker provisions.
Here’s what I’ll be looking out for when the decision comes out.
The agency’s primary argument for revoking the endangerment finding was based on its reinterpretation of the Clean Air Act. The agency asserted that the law applies to pollutants that directly threaten public health and welfare through local or regional exposure, and that indirect harms from global climate change do not fit this bill.
Moreover, it argued, the statute required that it make an endangerment finding for each individual greenhouse gas from each specific class of new vehicle to justify regulations, rather than assess the dangers of greenhouse gases from cars generally. The latter approach artificially inflated the case for regulation, the agency implied.
There are many legal experts, such as this trio of lawyers at Harvard’s Environmental and Energy Law Program, who say that the Supreme Court decisively rejected these exact arguments in the 2007 case Massachusetts v. EPA. The main outcome of that case was confirmation that greenhouse gases do, in fact, qualify as pollutants covered by the Clean Air Act, requiring the EPA to regulate them if it determines that they present a threat to public health and welfare. Following that ruling, the agency conducted an extensive review of climate science, held multiple public hearings, and sifted through thousands of public comments, before ultimately publishing the endangerment finding.
Now, however, the agency claims that its previous read of Massachusetts v. EPA was wrong, especially in light of subsequent Supreme Court decisions, such as West Virginia v. EPA and Loper Bright v. Raimondo. The former limited the EPA's toolbox for regulating power plants, and the latter ended a requirement that courts defer to agency expertise in cases where the law is vague.
If the EPA clings to this argument, it may seek to get the Court to revisit that case. As the Harvard lawyers point out, none of the five justices who were in the majority on that case remain on the Supreme Court, which ups the odds of the administration getting a more favorable ruling.
If the EPA does repeal the endangerment finding on the grounds that climate risks from greenhouse gases are not covered by the Clean Air Act, that could empower state and local governments to issue their own emissions regulations, since greenhouse gas regulation would no longer be the purview of the federal government. California, for example, could argue that it no longer needs a waiver from the EPA to enact its own emissions standards for vehicles, an issue that became a political football last spring.
Revoking the endangerment finding this way may also make fossil fuel companies more vulnerable to lawsuits brought by cities and states — and undercut the Trump administration’s own efforts to sue the cities and states that are trying to sue fossil fuel companies. Some 20 to 30 state and local governments have attempted to sue oil and gas companies for damages related to climate change. The industry has responded by arguing that these cases are roundabout attempts to regulate greenhouse gas emissions, which is the job of the federal government, per the Clean Air Act. But if the federal government abdicates that responsibility, this reasoning falls apart.
In the EPA’s proposal to rescind the endangerment finding — which also included a proposal to revoke vehicle emissions standards — the agency tried to get ahead of these issues. It argued that even though it wasn’t required to issue greenhouse gas emission standards for new vehicles, states would still be preempted from doing so because the Clean Air Act still delegates that authority to the EPA.
It’s difficult to see how the agency can have it both ways. As Amanda Lineberry, a senior associate at Georgetown University’s Climate Center put it, the EPA is attempting to deem the Clean Air Act “insufficient to enable federal regulation of GHG emissions to address climate change but sufficient enough to prevent state efforts to address those emissions.”
Nonetheless, in comments responding to the proposal, industry groups such as the American Petroleum Institute and American Gas Association explicitly support this reading, and some asked EPA to strengthen it. “EPA’s rationale would be strengthened by recognizing the long history establishing federal law as the exclusive source of authority over interstate pollution,” the AGA wrote.
Even if, hypothetically, the Clean Air Act does apply to greenhouse gas emissions, the agency would still propose revoking the endangerment finding on scientific grounds, its proposal last summer said. According to a new review of climate science, it said, the EPA could no longer conclude that greenhouse gases from vehicles endanger Americans’ public health and welfare.
The proposal cited a Department of Energy report, published on the very same day as the EPA’s proposal, which provided “a critical assessment of the conventional narrative on climate change.” The report was written by a working group consisting of five scientists who have a track record of pushing back on mainstream climate science. They concluded that the warming caused by greenhouse gases is not as dangerous or bad for the economy as previously thought, and that regulating such emissions will have “undetectably small direct impacts on the global climate.”
The Environmental Defense Fund and the Union of Concerned Scientists have since sued the administration for assembling this group in secret, a violation of the Federal Advisory Committee Act. Records released as a result of that lawsuit suggest that the group was explicitly formed to support the administration’s goal of repealing the endangerment finding. (A judge sided with the environmental groups on Friday, declaring that the working group was subject to FACA.)
Separately, a group of 85 scientists, some of whose research the working group cited, conducted an independent review and deemed the report biased and riddled with errors, including misinterpretations of the reviewers’ own findings. The National Academies, an independent institution that provides expert advice to the U.S. government on scientific and technical issues, also followed up with its own report concluding that “the evidence for current and future harm to human health and welfare created by human-caused greenhouse gases is beyond scientific dispute.”
Given this response, I’ll be looking to see if EPA maintains its position on climate science in the final decision, and if it does, how it responds to the mountain of criticism it has received. It’s possible the courts would defer to the agency’s assessment, but they could also side with the substantially larger volume of evidence disagreeing with it, bruising the agency’s credibility.
Editor’s note: This story has been updated to reflect Friday’s ruling on the working group. It has also been updated to reflect the correct effect of the decision in the Loper Bright case.
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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.