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On the Senate’s climate whip, green cement deals, and a U.S. uranium revival.

Current conditions: Flash flooding strikes the Southeastern U.S. • Monsoon rains unleash landslides in southern China • A heat dome is bringing temperatures of up to 107 degrees Fahrenheit to France, Italy, and the Balkans.

The United States’ demand for electricity broke records twice last month. Air conditioners cranking on hot days, combined with surging demand from data centers, pushed the peak in the Lower 48 states to a high of 758,053 megawatts on July 28, between 6 p.m. and 7 p.m. EST, data from the U.S. Energy Information Administration’s Hourly Electric Grid Monitor shows. The following day, peak demand set another record, hitting 759,180 megawatts. That’s nearly 2% above the previous record set on July 15, 2024.
The EIA predicted demand to grow by more than 2% per year between 2025 and 2026. Forecasts are even higher in areas with large data centers and factories underway, such as Texas and northern Virginia. The milestone comes as the Trump administration cracks down on solar and wind energy, two of the fastest-growing and quicker-to-build sources of new generation. On Tuesday, The New York Times reported that the Environmental Protection Agency is moving to eliminate $7 billion in spending on grants for solar energy, though when Heatmap’s Emily Pontecorvo asked the agency, it said only that, “With the passage of the One Big Beautiful Bill, EPA is working to ensure Congressional intent is fully implemented in accordance with the law.”
Senator Brian Schatz, a Democrat from Hawaii, locked down enough votes on Tuesday to replace Illinois Senator Dick Durbin as the Democrats’ whip in the chamber. Durbin, who is retiring next year, has served in the Senate Democrats’ No. 2 position since 2005. In his endorsement on Tuesday, Senate Minority Leader Chuck Schumer of New York called Schatz “a close friend and one of my most valued allies.”
Schatz crusaded for the Inflation Reduction Act and told Heatmap he supported last year’s failed bipartisan permitting reform deal, even as progressive greens campaigned against its giveaways to fossil fuels. In a Shift Key podcast interview with my colleague Robinson Meyer and his co-host, Princeton professor Jesse Jenkins, in February, Schatz pitched a big tent for climate action. “We all have to hang together. It’s the American Clean Power Association. It’s the energy company that does both clean and fossil energy. It’s the transmission and distribution companies. It’s the manufacturers. It’s labor. It’s Wall Street. It’s K Street. Everyone has to hang together and say, not only is this good for business, but there’s something that is foundationally worse for business than any individual policy decision.”
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The Trump administration may be clawing back funding for cleaning up heavy industry, but Big Tech is still inking deals. On Monday, Amazon agreed to buy low-carbon cement from the startup Brimstone. Then on Tuesday, the data center developer STACK Infrastructure announced the completion of “a pilot pour” of green cement from rival startup Sublime. The moves highlight the growing demand for cleaner industrial materials amid increased scrutiny of the energy and pollution linked to server farms.
America’s uranium enrichment went out of business in the early 2000s after the Clinton-era megatons-to-megawatts program essentially ceded the industry to cheap Russian imports made from disassembled atomic weapons. Since banning imports from Russia last year, the U.S. has been ramping up funding for nuclear fuel again, especially as the industry looks to build new types of reactors that rely on fuel other than the low-enriched uranium that virtually all the country’s operating 94 commercial reactors use. On Monday, the Department of Energy announced its first pilot project for advanced nuclear fuels, giving the startup Standard Nuclear the first federal deal. On Tuesday, the agency signed a $1.5 billion deal to restore the so-called Atomic City on the 100-acre parcel of federal land at the former Paducah Gaseous Diffusion Plan in Kentucky.
The Trump administration gave permission to the National Weather Service to hire up to 450 meteorologists, hydrologists, and radar technicians after sweeping cuts from the Department of Government Efficiency, CNN’s Andrew Freedman reported. The agency, which was partly blamed for its warnings going unheeded ahead of the deadly Texas floods last month, also received an exemption from the federal hiring freeze.
The move came the same day as a federal judge blocked the administration from diverting billions of dollars in Federal Emergency Management Agency funding for disaster resilience and flood mitigation. The injunction warned FEMA against spending the money on anything else.
Beyond Meat is finally getting beyond meat. The company plans to shed the flesh reference in its name this week as it launches its new Beyond Ground product that promises more protein than ground beef. “With this launch,” Fast Company’s Clint Rainey reported, “Beyond Meat is becoming merely Beyond and turning its focus away from only mimicking animal proteins to letting plant-based proteins speak for themselves. The radical move is cultural, agricultural, and financial.”
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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.