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On water stress, private jets, and the campaign’s home stretch.

Current conditions: More than 100 people are dead in the Philippines following flooding and landslides caused by Tropical Storm Trami • A low-pressure area in the southwest Caribbean could develop into Hurricane Patty as the storm season enters its final month • New York City’s rainless streak extends Monday as the Yankees-Dodgers World Series heads to the Bronx.
Former President Donald Trump spent the weekend blasting everything from hydrogen to electric vehicle charging to the Federal Emergency Management Agency while making his final pitch to voters ahead of Election Day. Speaking in a Detroit suburb on Saturday, Trump repeated his common refrain about hydrogen-powered cars, telling supporters, “There will be no hydrogen. They tend to blow up, and once they blow up, you are not recognizable anymore.” Appearing on the Joe Rogan podcast, Trump also alleged that California has “brownouts every weekend” due to the electricity demands of electric vehicles; misleadingly said he’d be able to “instantly” restart construction on a liquefied natural gas facility in Louisiana upon becoming president; and called the bipartisan CHIPS and Science Act “so bad” because “we put up billions of dollars for rich companies.” Trump also spoke on Sunday from New York City’s Madison Square Garden alongside Elon Musk, where he incorrectly claimed that FEMA “[hasn’t] even responded in North Carolina.”
hadn’t expected Hurricane Oscar to develop into a hurricane at all, let alone in just 12 hours. But it did. The Category 1 storm made landfall in Cuba on Sunday, hours after passing over the Bahamas, bringing intense rain and strong winds. Up to a foot of rainfall was expected. Oscar struck while Cuba was struggling to recover from a large blackout that has left millions without power for four days. A second system, Tropical Storm Nadine, made landfall in Belize on Saturday with 60 mph winds and then quickly weakened. Both Oscar and Nadine developed in the Atlantic on the same day.
Pollutants from gas stoves shorten people’s lives by an average of two years, according to a new study by scientists at Jaume I University in Spain. The research, which looked at households in the U.K. and EU, attributed 40,000 deaths per year in Europe to gas stoves, which leak pollutants linked to heart and lung diseases. “Way back in 1978, we first learned that NO2 pollution is many times greater in kitchens using gas than electric cookers,” lead author Juana María Delgado-Saborit told The Guardian. “But only now are we able to put a number on the amount of lives being cut short.”
A separate study in May estimated that 19,000 U.S. adults die annually due to pollution linked to their gas stoves. While awareness of the dangers of gas stoves is still growing, efforts in the U.S. to transition to safer and cleaner cooktops include measures on local ballots as well as the New York Power Authority and NYC Housing Authority’s Induction Stove Challenge. Heatmap exclusively reported on Friday that the judges selected Copper, which will provide 10,000 induction stove units to help transition the city’s public housing away from gas stoves.
Almost two-thirds of the United States is currently experiencing “some level of water stress related to drought,” according to a newly updated Drought Aware map from Esri. Using data from the U.S. Drought Monitor, the USDA, the National Water Model, and other government agencies, the new maps can show users weekly national drought conditions ranging from 2000 to 2024. According to the maps, roughly 4% of the country is currently experiencing “exceptional drought” — which describes “widespread crop/pasture losses” and “shortages of water in reservoirs, streams, and wells [creating] water emergencies” — including parts of Montana, Texas, West Virginia, and Ohio.

Ahead of COP29, the Britain-based poverty nonprofit Oxfam is encouraging world leaders to “ban or punitively tax carbon-intensive luxury consumption — starting with private jets and superyachts.” The demand accompanies a new Oxfam study linking the emissions from the “luxury toys” of the wealthiest 1% of Europeans to climate impacts that disproportionately affect low- and lower-middle-income nations. “One of the key findings for us is that superyachts are by far the most polluting toy that a billionaire can own, except perhaps for a rocket ship,” one of the authors, Alex Maitland, told The Guardian. According to Oxfam, the average annual carbon footprint of billionaire-owned superyachts is over 6,000 tons — “more than three times the emissions of the billionaires’ private jets,” or the equivalent of 860 years of emissions for the average person in the world.
Globally averaged surface CO2 reached 420.0 parts per million in 2023, a new record, the World Meteorological Organization reported Monday. WMO’s bulletin, which is published annually, stressed that CO2 had risen 42.9 ppm, or 11.4%, over the past two decades. The 2023 increase was higher than in 2022, which the researchers attributed to fire emissions, reduced plant carbon uptake due to extreme heat stress, and industrial activities. “These are more than just statistics,” WMO Secretary-General Celeste Saulo said in a statement. “Every part per million and every fraction of a degree temperature increase has a real impact on our lives and our planet.”
The Dutch design studio What If Lab makes tiny homes inside decommissioned wind turbine nacelles. Renew Economy described the abodes, which debuted during Dutch Design Week, as having a “cozy cottage feel” and smart amenities like “a heat pump, solar panels, and a solar water heater.”

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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.