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Current conditions: A late-season nor’easter could bring minor flooding to the Boston area • It’s clear and sunny today in Erbil, Iraq, where the country’s first entirely off-grid, solar-powered village is now operating • Thursday will finally bring a break from severe storms in the U.S., which has seen 280 tornadoes more than the historical average this year.
1. House GOP passes reconciliation bill after late-night tweaks to clean energy tax credits
The House passed the sweeping “big, beautiful” tax bill early Thursday morning in a 215-214 vote, mostly along party lines. Republican Representatives Thomas Massie of Kentucky and Warren Davidson of Ohio voted no, while House Freedom Caucus Chair Andy Harris of Maryland voted “present;” two additional Republicans didn’t vote.
The bill will effectively kill the Inflation Reduction Act, as my colleague Emily Pontecorvo has written — although the Wednesday night manager’s amendment included some tweaks to how, exactly, as well as a few concessions to moderates. Updates include:
The bill now heads to the Senate — where more negotiations will almost certainly follow — with Republicans aiming to have it on President Trump’s desk by July 4.
2. FEMA cancels 4-year strategic plan, axing focus on ‘climate resilience’
The combative new acting administrator of the Federal Emergency Management Agency, David Richardson, rescinded the organization’s four-year strategic plan on Wednesday, per Wired. Though the document, which was set to expire at the end of 2026, does not address specific procedures for given disasters, it does lay out goals and objectives for the agency, including “lead whole of community in climate resilience” and “install equality as a foundation of emergency management.” In axing the strategic plan, Richardson told staff that the document “contains goals and objectives that bear no connection to FEMA accomplishing its mission.”
A FEMA employee who spoke with Wired stressed that while rescinding the plan does not have immediate operational impacts, it can still have “big downstream effects.” Another characterized the move by the administration as symbolic: “There are very real changes that have been made that touch on [equity and climate change] that are more important than the document itself.”
3. Energy Department redirects Puerto Rican rooftop solar investment to upkeep of fossil fuel plants
The U.S. federal government is redirecting a $365 million investment in rooftop solar power in Puerto Rico to instead maintain the island’s fossil fuel-powered grid, the Department of Energy announced Wednesday. The award, which dates to the Biden administration, was intended to provide stable power to Puerto Ricans, who have become accustomed to blackouts due to damaged and outdated infrastructure. The Puerto Rico Electric Power Authority declared bankruptcy in 2017, and a barrage of major hurricanes — most notably 2017’s Hurricane Maria — have destabilized the island’s grid, Reuters reports.
In Energy Secretary Chris Wright’s statement, he said the funds will go toward “dispatching baseload generation units, supporting vegetation control to protect transmission lines, and upgrading aging infrastructure.” But Javier Rúa Jovet, a public policy director for Puerto Rico’s Solar and Energy Storage Association, added to The Associated Press that “There is nothing faster and better than solar batteries.”
4. EDF, Shell, and others to collaborate on hydrogen emission tracker
The Environmental Defense Fund announced Wednesday that it is launching an international research initiative to track hydrogen emissions from North American and European facilities, in partnership with Shell, TotalEnergies, Air Products, and Air Liquide, as well as other academic and technology partners. Hydrogen is an indirect greenhouse gas that, through chemical reactions, can affect the lifetime and abundances of planet-warming gases like methane and ozone. Despite being a “leak-prone gas,” hydrogen emissions have been poorly studied.
“As hydrogen becomes an increasingly important part of the energy system, developing a robust, data-driven understanding of its emissions is essential to supporting informed decisions and guiding future investments in the sector,” Steven Hamburg, the chief scientist and senior vice president of EDF, said in a statement. Notably, EDF took a similar approach to tracking methane over a decade ago and ultimately exposed that emissions were “a far greater threat” than official government estimates suggested.
5. The best-selling SUV in America will now be available only as a hybrid

The bestselling SUV in America, the Toyota RAV4, will be available only as a hybrid beginning with the 2026 model, Car and Driver reports. The car will be available both as a conventional hybrid and as a plug-in that works with CCS-compatible DC fast chargers, meaning “owners can quickly fill up its battery during long road trips” to minimize their fossil fuel mileage, The Verge adds. The RAV4 will also beat the Prius for electric range, hitting up to 50 miles before its gas engine kicks in.
Toyota’s move might not come as a complete surprise given that the automaker already introduced a hybrid-only lineup for its Camry. But given the popularity of the RAV4, Car and Driver notes that “if you ever wondered whether or not hybrids have entered the mainstream yet, perhaps this could be a tipping point.”

The Fish Lake Valley tui chub, a small minnow threatened by farming and mining activity, could become the first species to be listed as endangered under the second Trump administration.
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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.