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Don’t forget the other good thing about electric cars.

The electric car push is about carbon. You know the logic: If we all switch to EVs, and if we power those EV with mostly renewable energy, then the world could slash the amount of carbon dioxide emitted by the transportation sector. The electrification effort is so centered on fighting climate change that it’s easy to forget there’s another big, shiny benefit of switching from gas engines to battery power: cleaner air.
CO2 isn’t the only thing that comes out of a tailpipe, after all. Cars also spew volatile organic compounds (VOCs), nitrous oxides (NOx), and fine particulate matter into the atmosphere with every gallon of gasoline they use. Long before environmentalists viewed cars as a climate villain, they saw internal combustion as a public enemy that poisoned the air. Cars made the smog that obscured the mountains in Los Angeles, and they have caused higher rates of health problems like asthma, birth defects, and premature deaths.
To be sure, EVs are not pollution-free. They tend to be heavy, which increases the rate at which tires break down and shed microparticles. It takes carbon emissions to make lithium-ion batteries. An EV’s pollution benefits are only as good as the electricity that powers it. Even so, the EV era could help Americans breathe easier, and new studies are beginning to show just how much a difference electrification can make.
Here in California, electric vehicles have become a common sight — this year they reached 25 percent of total car sales. To quantify the health benefits of this evolving automotive fleet, researchers at the University of Southern California’s Keck Medical Center studied a variety of ZIP codes across the state where the adoption of zero-emission vehicles jumped by tenfold between 2013 and 2019. They compared that vehicle data against air pollution numbers and asthma-related ER visits in the same places, finding a significant reduction in both. The numbers should be trending even better by now. Across California, zero-emission vehicle adoption has soared past 20 per 1,000 people, compared to 14.1 per 1,000 people at the end of the study’s time period.
Another study, from March 2023, looked at 30 major U.S. metropolitan areas through the lens of the EPA’s air quality model health impact tools. The goal: to see which places would gain the most from a major surge where nearly all drivers owned EVs by 2050. L.A. led the way, with an estimated 1,163 premature deaths prevented every year by better air quality, corresponding to more than $12 billion in health benefits. New York City, Chicago, the cities of California’s Central Valley, and Dallas followed close behind.
Joshua Linn, a professor at the University of Maryland who studies environmental economics, released his own model of EV air pollution gains this January, which put a rough price tag on both the climate and health benefits of EV adoption. A few years ago, he told me, it was more difficult to demonstrate that the electrification of cars would create a positive effect. Gasoline engines had gotten more efficient, making it a little less damaging to choose combustion when buying another car. A few older studies found that electrification actually could be worse for air quality — but, he said, those studies presumed the country would keep burning mostly fossil fuels for its electricity, which means atmospheric pollution from burning coal or gas would skyrocket alongside America’s demand for electricity.
That’s not what happened. With today’s rising use of renewable energy, he says, it’s clear EV adoption will lead to better air quality along with the associated gains in human health. “The cleaner grid wins,” he says. “The power sector is just getting so much cleaner. We anticipate that, over the next 10 or 15 years, buying a plug-in vehicle now and charging it over that vehicle's lifetime is going to be better for the environment than gasoline.”
Even so, it remains tricky to quantify air quality and health impacts. While carbon emissions are seen as a global climate problem, air pollution can be an intensely local issue. A New York City, or Boston, or Atlanta with a high percentage of EVs would see a major decrease in the pollutants coming from cars stuck in gridlock, and people living next to congested roads would breathe much easier. (For a historical analogue, see how families living close to toll booths saw rates of premature births decline with the introduction of the EZ-pass system, when cars began to roll through toll checkpoints rather than sitting there, spewing poison as they fumbled with coins.) But if the U.S. kept burning fossil fuels to make electricity, Linn says, then all those noxious chemicals would simply migrate elsewhere.
“You are moving the pollution away from typically more densely populated areas. You’re moving it towards the power plants, which tend to be located in less dense populated areas. But at the same time, those power plants are shooting that pollution way up into the atmosphere and then it can travel — it can affect pollution far down wind and often in urban areas.” That, he says, is why it’s so important to keep moving the grid toward renewable energy.
Local differences in air pollution also mean that not all areas will experience the air quality benefits of the EV revolution equally. USC’s study was careful to note that because electric cars remain so comparatively expensive, less-affluent neighborhoods have much lower rates of adoption and lower associated gains in air quality. (Research in 2019 claimed that only neighborhoods with average income above $65,000 saw positive air quality effects from EV adoption.)
Some benefits will cross over, Linn says, especially when lost people drive through lower-income neighborhoods in electric vehicles rather than gasoline ones. But the economics of EVs, and their clean-air benefits, still leave a lot to be desired.
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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.