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On Lee Zeldin’s announcement, coal’s decline, and Trump’s Tesla promo

Current conditions: Alaska just had its third-warmest winter on record • Spain’s four-year drought is nearing an end • Another atmospheric river is bearing down on the West Coast, triggering evacuation warnings around Los Angeles’ burn scars.
EPA Administrator Lee Zeldin said yesterday he had terminated $20 billion in congressionally-approved climate change and clean energy grants “following a comprehensive review and consistent with multiple ongoing independent federal investigations into programmatic fraud, waste, abuse and conflicts of interest.”
The grants were issued to a handful of nonprofits through the Greenhouse Gas Reduction Fund, a $27 billion program that was the single largest and most flexible program in the Inflation Reduction Act. Zeldin has been targeting the funds since taking office, suggesting they were awarded hastily and without proper oversight. Citibank, where the funds were being held, has frozen the accounts without offering grantees an explanation, prompting lawsuits from three of the nonprofit groups. The EPA’s latest move will no doubt escalate the legal battles. As Politico explained, the EPA can cancel the grant contracts if it can point to specific and “legally defined examples of waste, fraud, and abuse by the grantees,” but it hasn’t done that. House Democrats on the Energy and Commerce Committee launched an investigation yesterday into the EPA’s freezing of the funds and Zeldin’s “false and misleading statements” about the GGRF program.
In other EPA news, the agency reportedly plans to eliminate its environmental justice offices, a move that “effectively ends three decades of work at the EPA to try to ease the pollution that burdens poor and minority communities,” as The New York Times explained.
President Trump’s 25% tariffs on all steel and aluminum imports came into effect today. As Heatmap’s Emily Pontecorvo has explained, the move could work against Trump’s plans of making America a leader in energy and artificial intelligence. “The reason has to do with a crucial piece of electrical equipment for expanding the grid,” Pontecorvo wrote. “They’re called transformers, and they’re in critically short supply.” Transformers are made using a specific type of steel called grain oriented electrical steel, or GOES. There’s only one domestic producer of GOES — Cleveland Cliffs — and at full capacity it cannot meet even half of the demand from domestic transformer manufacturers. On a consumer level, the tariffs are likely to raise costs on all kinds of things, from cars to construction materials and even canned goods.
The European Union quickly hit back with plans to impose duties on up to $28.3 billion worth of American goods. Trump had threatened to slap an extra 25% duty on Canadian steel and aluminum in retaliation for Ontario’s 25% surcharge on electricity (which was a response to Trump’s tariffs on Canadian goods, including a 10% tariff on Canadian energy resources), but held off after the surcharge was paused and the countries agreed to trade talks.
Wind and solar surpassed coal for power generation in the U.S. in 2024 for the first time, even as electricity demand rose, according to energy think tank Ember. Coal power peaked in 2007 but has since fallen to an all-time low, accounting for 15% of total U.S. electricity generation last year, while combined solar and wind generation rose to 17%.
Gas generation also grew by 3.3% last year, however, now accounting for 43% of the U.S. energy mix and resulting in an overall rise in power-sector emissions. But solar grew by 27%, remaining the nation’s fastest-growing power source and rising to 7% of the mix. Wind saw a more modest 7% rise, but still still accounted for 10% of total U.S. electricity generation.

“Despite growing emissions, the carbon intensity of electricity continued to decline,” according to the report. “The rise in power demand was much faster than the rise in power sector CO2 emissions, making each unit of electricity likely the cleanest it has ever been.” The report emphasizes that the rise of batteries “will ensure that solar can grow cheaper and faster than gas.”
A group of major companies including tech giants Amazon, Google, and Meta, as well as Occidental Petroleum, have pledged to support a target of tripling global nuclear capacity by 2050 “to help achieve global goals for enhanced energy resiliency and security, and continuous firm clean energy supply.” The pledge, facilitated by the World Nuclear Association, came together on the sidelines of the energy industry’s annual CERAWeek conference in Houston. According to a press release, “this is the first time major businesses beyond the nuclear sector have come together to publicly back an extensive and concerted expansion of nuclear power to meet increasing global energy demand.”
In case you missed it: Toyota plans to roll out an electric truck for the masses by 2026. At least, that’s what can be gleaned from a presentation the company gave last week in Brussels. Details haven’t been released, but Patrick George at InsideEVs speculates it could be an electric Tacoma, or something more akin to the 2023 EPU Concept truck, but we’ll see. “While Toyota officials stressed that the cars revealed in Belgium last week were for the European market specifically, we all know Europe doesn't love trucks the way Americans love trucks,” George wrote. “And if Toyota is serious about getting into the EV truck game alongside Chevy, Ford, Ram, Rivian and even Tesla, it could be a game-changer.”
President Trump and Elon Musk showed off Tesla vehicles on the White House lawn yesterday, with Trump (who doesn’t drive) pledging to buy one and to label violence against Tesla dealerships as domestic terrorism. Tesla shares rose slightly, but are still down more than 30% for the month.

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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.