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The future of U.S. climate policy may depend on things getting dramatic.

Donald Trump does not care much about climate change. By which I mean not just that he does not believe the warming of the planet is a problem, but also that the entire subject is far from the top of his priority list. Unfortunately, that makes his incoming administration even more dangerous.
The implied chaos of the second Trump term is only beginning. In some cases, the operative question is “Is he really going to do that?” Will he actually deport 15 million people, or put a 20% tariff on all imported goods, or prosecute his political opponents?
But when it comes to climate, Trump has offered no attention-grabbing proposals or bizarre promises. He said he wants to “Drill, drill, drill,” but we’re already drilling more than we ever have before. He has a weird obsession with homicidal windmills (“They ruin the environment, they kill the birds, they kill the whales”) and a contempt for electric cars, it’s true. But the real hazard lies in the agenda of those who will run key departments in his government, doing things Trump barely takes notice of.
This may seem counterintuitive to those who view Trump as a uniquely malign force, pushing the federal government in new and disturbing directions. But Trump only cares about a few things — trade and immigration are his primary policy areas of interest, and much of his days will be spent plotting revenge against his enemies — and climate isn’t one of them.
So far, the Trump appointees with influence over climate policy are not the kind of figures who will grab headlines; Americans are unlikely to develop strong opinions about Lee Zeldin (the pick for EPA Administrator) or Doug Burgum (who will be Secretary of the Interior). Below them will be a cadre of unknown and unnoticed officials determined not just to undo every bit of climate progress that occurred under Joe Biden, but also to go much further, purging scientists, stopping environmental enforcement, opening up federal land to fossil fuel production, eliminating pollution regulations, and shutting down every possible office with “climate” in its name or its mission.
So why would it be better if Trump were paying attention? Because the only likely restraint on this assault will be if Trump decides it reflects poorly on him.
That brings us to a crude but useful unified theory of Trump policy outcomes. Expressed as an equation, it would look like this:
Outcome = ((Trump impulses + party agenda) x attention)/political risk
To put it in simpler terms, the relevant questions are: What does Trump want? What do the people around him want? Is this something Trump cares about? And what are the political risks involved?
As an example, let’s take the idea of repealing the Affordable Care Act, which Trump tried and failed to do in his first term. His impulse was to destroy the ACA because it was signed by Barack Obama, whom he hates. His party would also like to destroy the ACA. But Trump himself is not all that interested in the issue of healthcare; he couldn’t be bothered to come up with a plan to replace the ACA, though he regularly promised “something terrific.” Because it’s such a high-profile issue, it won’t move forward without his attention.
Finally — and most importantly — the political risk of repealing the ACA is incredibly high because it is very popular. Repealing it would be cataclysmic for the healthcare system, leading tens of millions of people to lose their health coverage. Put it all together, and the likelihood that Republicans will achieve their longtime goal of ACA repeal is very, very small.
Now let’s plug climate into the equation. Trump’s impulses are uniformly detrimental, but also vague. He told oil executives they should raise him a billion dollars because he’ll give them whatever they want, but if you asked him what specifically it is they want, he probably couldn’t tell you with any specificity.
The Trump officials who will work on environmental issues know exactly what they want — but most of it won’t attract much attention, from the president or the public. When they start gutting PFAS regulations and methane emissions rules, neither Trump nor the average voter will have any idea.
One exception has already been teed up: It now appears that Republicans will try to kill the electric vehicle tax credit. If he wanted to, Elon Musk could stop this: If he told Trump it’s a bad idea, Trump would instruct Republicans in Congress to keep the credit, and it would be most likely be safe. But Musk is of the opinion that while ending the credit might hurt Tesla sales in the short run, his competitors will suffer even more, perhaps getting out of the EV business altogether.
There could be a fight over EV credits when Congress takes up the issue, and it’s even possible that Trump would step in and tell his party to leave them alone if he decided there would be too much of a backlash that would harm him politically. It’s highly unlikely, but the fact that one could at least imagine how it would happen shows how the preferences/attention/political risk dynamic operates.
But to repeat, EV subsidies are the exception of a climate-related policy that will garner some press coverage (though even that may be limited, since the repeal of the tax credits will be part of a gargantuan reconciliation bill with lots of other contentious ideas in it). Most of what happens at the EPA and the Departments of Interior and Energy, where pro-fossil fuel officials will labor every day to undermine environmental protections, will pass by with little notice.
So climate advocates face a difficult task: If they can raise the salience of the climate issue and make a particular Trump administration climate policy unpopular, it would become possible that Trump will notice, perceive some political danger in what his government and Congress are doing, and act to restrain them, for no reason other than his own self-interest.
It’s not much to pin your hopes on, and the idea that Trump himself could be the force of moderation in an administration hell-bent on reversing progress on climate seems crazy. But this is going to be a crazy four years.
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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.