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Georgetown’s Lisa Heinzerling on the Supreme Court’s climate shell game.

It’s a sad day for the regulatory state. On Friday, the Supreme Court struck down a 40-year-old precedent that deferred to agencies’ interpretations of their own mandates where the statutory guidance was incomplete or ambiguous, otherwise known as Chevron deference, after the losing side in the original case. Not only has it been cited in more than 19,000 federal opinions, it’s the one congressional aides — the ones actually writing the laws — are most familiar with, as Lisa Heinzerling, a professor of environmental law at Georgetown Law, told me.
“So there’s a way in which Congress has been relying on Chevron for decades, right?” she said. “If Congress banked on Chevron, banked on the idea that if they didn’t make things clear the agency would take care of it, then that reliance is not being honored.”
This is not the first time the court has come for regulators. Two years ago, in West Virginia v. Environmental Protection Agency, the court held that the authority to resolve questions of interpretation involving high-stakes political and economic questions, a.k.a. “major questions,” rests with Congress, not the agencies, raising the threat of legal nightmares should regulators attempt to take any kind of big swings. This explicitly concerns only “extraordinary cases,” and yet regulators already appear to be reining in their own ambition to gird against potential challenges.
Friday’s decision comes the day after the court struck down a provision of the Dodd-Frank Act giving certain enforcement powers to the Securities and Exchange Commission and granted a stay on enforcement of the Environmental Protection Agency’s “good neighbor” rule, aimed at preventing harmful pollution from crossing state lines.
The two cases decided this week — Loper Bright Enterprises et al. v. Raimondo, Secretary of Commerce, et al. and Relentless, Inc. v. Department of Commerce — turned on whether private commercial fishing companies could be compelled to pay for federal monitors to ride along and ensure they were complying with applicable fishing rules. Or at least they did initially. “The court decided to decide only the question whether to overrule Chevron, the case that establishes deference for agencies legal interpretations,” Heinzerling explained the day before the ruling came down. Our conversation has been edited for length and clarity.
Without Chevron, are we going to get completely bogged down in revising statutes? Are our courts going to be clogged up with nuisance suits from people who simply don’t want to have to follow the rules?
I think there will be a lot of efforts to undo other precedent that relied on Chevron — and especially paired with the Corner Post case, which has to do with the timing of challenges to agency action. You know, realistically, if that case comes down, accepting a longer period of time in which to sue people could go nuts, challenging all sorts of agency interpretations from the past. So that’s disruptive.
The Supreme Court is constantly saying, well, go and get a new statute. Well, okay, we saw what happens when Congress passes a new statute: The court holds it unconstitutional. The Dodd-Frank Act. Look what happened to the Affordable Care Act. These major pieces of legislation, major, major political stakes, and the court has not respected those. So I feel like we’re kind of in a shell game, something that’s not quite honest. That in all of these cases, actually, Congress did pass a law, but the court either rules it unconstitutional, says it’s not clear enough. And so I don’t think they’re respecting Congress’s handiwork as it exists now.
You mentioned Corner Post, could you talk about that case?
It came to the court kind of quietly. It’s got rich backers. It’s just a little truckstop, just like the commercial fisherman, that wants to challenge a rule on credit cards. They were incorporated after the rule went into effect, and they want to say, we weren’t injured when it first passed, so we should get the benefit of a longer period of time in which to sue. And amazingly, the justices seemed willing to accept that. That just adds to the stakes of overruling Chevron.
The Chevron deference is a big part of how agencies do their job. But after West Virginia, does it still matter? I’m not a lawyer, but I’m going to pretend I am one when I ask: Does the major questions doctrine effectively invalidate Chevron anyway?
No. They said that the major questions idea was for extraordinary cases, to see how it turns out over the years, but it’s not every case. Where Chevron applied, theoretically, in every case. At least it was a mix.
What recent regulatory decisions would be most vulnerable in a post-Chevron world?
It is complicated to know because it has to be a question about a statute, a question about a statute that a court finds ambiguous, right? That’s where Chevron would have helped. And I think it depends on what court you’re in. If you’re in the Fifth Circuit, there’s a good chance — I mean, they’ve just stopped using Chevron, period.
Is there a world in which courts develop more subject matter expertise as a result of being forced to decide on questions of statutory interpretation?
Over the years people have offered the possibility of science courts or environmental courts — specialized courts where adjudicators have expertise. That’s never really taken off — never really at all taken off. Certainly the D.C. Circuit judges handle administrative cases all the time. Cases go exclusively to them, and I think the judges do develop some expertise. But it doesn’t turn them into ecologists or engineers. And the thing is that the structure of a judicial chambers is both tiny and insular: you have one judge; on the Supreme Court four clerks, but elsewhere two to three. It’s just not that much. Whereas EPA, they have teams of people on these rules from all over the agency, and then the rule gets reviewed by others.
We’re obviously focused on climate-related regulations, but is there an area of policy that you think will be most vulnerable immediately without Chevron?
The hallmarks of where Chevron has been really important: complicated statutes; technical and/or scientific subject matter; places where the language is either vague or just broad enough, it’s not clear how to fill it in. That’s environmental law, but there’s a lot of other law that’s also … I mean, it’s just OSHA, FDA, the FTC. Looking for those signature traits, that’s going to be a place where it pinches particularly hard. I think the agencies now are sort of bracing for this, but they still have a lot of rules in the works, and this is going to come down in the middle of that in election year.
Chevron started with Reagan wanting to change the way the EPA interpreted its mandate. Would removing it potentially make things more difficult for an incoming Trump administration?
I mean, it should. Chevron was supposed to work that way. But certainly the major questions doctrine, at least as it’s been practiced, so far cuts only against ambitious regulation. It doesn’t cut in favor of it.
The thing that worries me is the anti-regulatory skew that’s in some of the court’s other recent rulings. So for example, in West Virginia itself, the Supreme Court struck down Obama’s Clean Power Plan but upheld — without even explaining why — Trump’s plan. They were the same question under the same statute with the same evidence, the same costs and benefits. Everything was the same except for the direction. If one was a major question, the other should have been a major question. And so if you want to put it in the terms of these two possible administrations, they will go after Biden rules more than they’ll go after Trump rules, at least on the major questions idea.
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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.