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Let’s get this out of the way: You don’t have to turn vegetarian to make a meaningful dent in your carbon emissions. You don’t have to start eating insects or experiment with precision-fermented plant-based proteins. You don’t even have to eat less meat, necessarily. Just eat less beef — or, if you prefer the idea of “more” to the idea of “less,” you could even say: Eat more chicken.
Either way, the reason comes down to some of the simplest carbon accounting we have. Cows are, by far, our most carbon-intensive protein source. Every kilogram of beef produced in the U.S. emits about 38 kilograms of carbon from cradle to slaughterhouse, according to Arthur Gillett, chief research officer at HowGood, an emissions research and data service for the food sector. Compare that to roughly 3.8 kilograms of CO2 per kilogram of chicken, and even 4.9 kilograms of CO2 per kilogram of pork, and you can start to see why even such a small change can have a big impact. A chicken needs to eat just 1.6 kilograms of feed to produce a kilogram of meat.
“1.6 is basically magic, right?” Gillett told me. “Why are we messing with crickets?”
Beyond that, though, the picture gets murkier. Because here’s the thing: Even if you wanted to track every single ounce of carbon related to your food intake, you couldn’t, at least not with any meaningful degree of accuracy. Of all the many systems operating in the global economy, the food system is perhaps the most complex, involving processes we’re still trying to understand, let alone track.
For example: dirt. Essentially all the food we eat depends, at some point in its life cycle, on dirt. One reason beef is such a high-emission product is that it takes a lot of dirt to grow all the feed a typical cow eats over the course of its life — which runs to the thousands of pounds (including byproducts from other agricultural production) — plus a lot more to grow the cow itself. Even in the U.S., where cows are mostly finished on feedlots, livestock occupy 41% of available farmland, but are raised on just 30% of farms. In Brazil, the world’s largest exporter of beef, where cows are mostly grass-fed, cattle graze on somewhere between 189 million and 253 million acres of what used to be the Amazon rainforest, depending on whose estimate you use.
But back to dirt: Climate scientists still don’t really understand how it works, from a carbon perspective. How much carbon is stored in the Earth’s soil? Estimates vary pretty widely, biogeochemist Rose Abramoff told me. How much is it emitting each year? That’s even less clear. Does it make a difference whether that soil is planted with genetically modified soy versus heirloom squash? No idea.
Until seven or eight years ago, it was accepted practice in the life-cycle analysis world to resolve these uncertainties by assuming soil-related emissions were stable and therefore marking them at zero, according to Gillett, “which is incredibly wrong,” he told me. Analyses are starting to be able to account for those emissions now, he said, but to be really meaningful, they would have to be recalculated every year. “So then every LCA, to be worth its salt, has to be a multi-year LCA. That’s impossible.” Gillett said.
In other words, the science is very much still changing, and you could drive yourself crazy trying to keep up with it. These days, Gillett is excited about the potential for regenerative agriculture practices like no-till farming and co-locating livestock with crops to transform dairy into one of our most carbon-efficient sources of protein, he told me — something he never would have expected to say a year or two ago.
Similarly, “Maybe 10 years ago, all of us were talking about food miles,” i.e. the distance from farm to table, according to Minnie Ringland, manager of climate and insights at ReFED, a food waste reduction advocacy group. You may have experienced this in the form of admonishments to “eat local.” Since then, however, cold storage supply chains have gotten a lot better, particularly in the Global South, which means that we’re losing a lot less food to spoilage — compared to the agricultural process itself, shipping represents a negligible portion of the emissions related to just about any given product.
It's also important to remember that not all farming regions are created equal. California, for instance, is a great place to grow lots of things; Arizona, less so. “Depending on the geography where the food is being produced, it can be super intensive in terms of land use change, if land is being deforested in order to make way for agricultural fields or for grazing,” Ringland said. Another factor is the use of nitrogen fertilizer, which is both emissions-intensive to produce and generates carbon dioxide from its use, the environmental effects of fertilizer run-off on nearby land and waterways notwithstanding.
That’s not to say there aren’t other important benefits to eating locally: contributing to your local economy, supporting biodiversity, encouraging holistic farming practices. The farmers at your weekend farmers market are a whole lot more likely to be practicing regenerative techniques and fertilizing with compost instead of industrial chemicals. But they’re also not going to be there at 7:48 p.m. on any given Tuesday when you’re midway through cooking a batch of chicken cacciatore and realize that you forgot the bell peppers.
Speaking of compost, though, here’s a bonus trick to reduce your food-related carbon emissions: Collecting and composting your food scraps is good, but wasting less food is even better. The reason why is pretty obvious: Before it can be composted, food still has to go through the entire supply chain. And while composting food produces fewer emissions than landfilling food waste, it’s not an entirely emissions-free process, and can be more or less carbon-intensive depending on where and how it’s made. Reducing your food waste requires a bit more planning, but it will also save you money and send a more accurate demand signal down the farm-to-grocery-store supply chain.
I could go on and on about things like the relative carbon impact of plant-based proteins and the emissions reduction potential of standardizing expiration dates on food labels, but all of that is still being worked out. If you are fake meat-curious, you can check out our guide on that here. And if you’re already a vegetarian or curious about it for reasons of health, ethics, etc., that’s great. The most important thing you, as a consumer, can do to reduce emissions from the food system is hold companies accountable for their carbon claims, which means not getting sucked into the stuff that sounds too good to be true. There’s plenty of delicious food out there that doesn’t take elaborate math to justify eating.
So to recap: Eat less beef, waste less food. You can make it more complicated than that if you want, but everything else is gravy.
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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.