You’re out of free articles.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
Sign In or Create an Account.
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Welcome to Heatmap
Thank you for registering with Heatmap. Climate change is one of the greatest challenges of our lives, a force reshaping our economy, our politics, and our culture. We hope to be your trusted, friendly, and insightful guide to that transformation. Please enjoy your free articles. You can check your profile here .
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Subscribe to get unlimited Access
Hey, you are out of free articles but you are only a few clicks away from full access. Subscribe below and take advantage of our introductory offer.
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Create Your Account
Please Enter Your Password
Forgot your password?
Please enter the email address you use for your account so we can send you a link to reset your password:
The surprisingly strong case for Mill.

Food waste is a climate disaster, responsible for twice as many greenhouse gases as the global aviation, shipping, and paper industries combined. The food system generates about a third of our emissions, and nearly a third of the food it produces never makes it to our stomachs, which means we waste nearly a third of the farmland, fuel, fertilizer, electricity, irrigation water, and deforestation that goes into producing our food. At the same time, the 40 million tons of uneaten food that Americans send to landfills every year can decompose into heat-trapping methane, which also isn’t great.
But maybe Harry can help.
Harry is a sleek white Wi-Fi-connected garbage bin in my family’s pantry, a “food dehydrator” that transforms our kitchen scraps into chicken feed. It was created by Mill, a San Francisco-area startup that has raised more than $100 million to try to keep more household waste inside the food system. Mill’s founders built the Nest thermostat that limits household energy waste, so they know something about using high-tech hardware to try to adjust consumer habits in climate-friendly ways. They’ve shipped thousands of bins since April, and they say they’ve got more demand than their Mexican factory can supply.
Every day, my family tosses banana peels, pizza crusts, eggshells, moldy salmon, wilted celery, and other leftovers into Harry. Every night, Harry spends about six hours heating, grinding and shrinking them into nutrient-rich feed that looks like a cross between coffee grounds and dirt. Food waste is about 80 percent water, and Harry dries it out; it takes almost two months before the bin gets full and I have to mail the grounds back to Mill.
It’s a seamless user experience, with no smell, no schlep, and so far, virtually no noise. The bin has a cool wood-veneer lid with a convenient foot pedal to lift it; Mill CEO Matt Rogers helped engineer the iPod and iPhone at Apple before he started Nest, so he knows something about good design, too. And the company has calculated that its bins will help the average household avoid about half a ton of emissions every year, not even including the deforestation that won’t be needed to grow the chicken feed Mill will replace.
Mill’s app prompts you to name your bin upon arrival, and we named ours after Mill president Harry Tannenbaum, an engaging climate wonk who charmed me with his frequent use of the word “putrescence.” (I initially wanted to name it Wastoid, but my wife informed me that was stupid.) Tannenbaum got the idea for Mill after learning that food waste is the largest component of U.S. landfills.
“That freaked me out,” Tannebaum said. “Not only are we disconnecting those nutrients from returning to the earth by entombing them in landfills, they’re creating methane that cooks the earth. And it’s all starting in our kitchens.”
Composting can keep food waste out of landfills, too, but only 4 percent of U.S. households compost, because separating and storing food scraps can be a time-consuming, odor-producing, rodent-attracting hassle. And unlike many composting programs, which have absurdly complex requirements about what can be used, Mill’s bins can recycle just about everything except big bones, liquids, and excessive sugar. But their real bonus for the planet is that while compost can be used to help grow food, Mill’s grounds are still basically food. This summer, the Food and Drug Administration and the Association of American Feed Control Officials cleared the way for their use as commercial poultry feed, a much higher use than compost on the EPA’s food recovery hierarchy. It’s the first step in getting those grounds into the hands of chicken farmers.
It’s nice that my family no longer has to take out our regular trash so often, now that we no longer dump food into it, and I get a kick out of leaving Harry like this at night:
and seeing this the next morning:
It’s real bio-recycling, and while Mill would only be able to feed 7 percent of U.S. chickens if every U.S. household had a bin, every soybean that Mill can replace is a soybean that doesn’t need to be grown in the Amazon. And Harry helps us notice what we’re not eating — Instacart, you’re sending us too many mushy grapes — so that we can buy less of it and avoid waste on the front end.
That said, Mill is letting me use Harry for free, because I’m a dork who writes about food and climate change. I might be less enthusiastic if I were paying the hefty normal-human rate of $33 a month for the privilege of using its bins. Some composting services cost almost that much, and Mill emphasizes that its bins can take the stink and ick out of the kitchen experience — no putrescence! — but realistically, they provide more benefits for the climate than for consumers, which will limit the universe of consumers willing to shell out $396 a year for them.
Tannenbaum says Mill makes more economic sense in communities with “pay-as-you-throw” garbage collection, because Mill customers can save money by stepping down to smaller trash cans; in a pilot program in Tacoma, Washington, those savings have often reduced Mill’s effective cost to $8 a month. Mill is also working on deals with apartment buildings to provide bins to all their residents, so they could have easier trash management and less disgusting trash rooms. And corporations looking to shrink their carbon footprints could shrink their janitorial costs as well by putting Mill bins in their cafeterias. Tannenbaum points out that at Nest, after early-adopting consumers proved that smart thermostats could reduce energy waste, utilities helped defray the costs of moving Nest into the mainstream.
But change is hard, especially behavioral change. And change is slow, which is a problem, because the U.S. has set a goal of cutting food waste in half by 2030. There’s no way Mill can scale up fast enough to make a serious difference without government help. And that’s true for all kinds of food waste solutions — behavioral approaches like Britain’s “Love Food Not Waste” marketing campaign; policy reforms like tax breaks for restaurants that donate leftovers; and technologies like invisible biotech peels that prevent fruit and vegetables from spoiling. Our species is not going to wake up one day and make a collective decision to stop wasting a billion tons of food every year. We’ll need shoves (and cash) to overcome our inertia.
In fact, the U.S. Department of Agriculture announced last week that it’s investing $25 million in avoiding food waste. That’s a nice gesture, enough to fund 60,000 Mill bins for a year. But it’s a pittance compared to the $23 billion that USDA is spending on “climate-smart agriculture” — mostly regenerative farming experiments that, to put it charitably, will have an uncertain effect on emissions — and especially compared to the $428 billion in the last five-year farm bill.
Until recently, climate policy was seen as energy policy. But the world is starting to understand that unless it dramatically slashes emissions from the food system — at least a 75 percent reduction by 2050 — it won’t meet its climate goals even if it stops using fossil fuels. Congress is now talking about a new farm bill, and history suggests its main thrust will be to keep shoveling big money to big farmers. But it’s also an opportunity to make real investments in scaling up climate-friendly agricultural innovations like drought-tolerant super-trees, meat and dairy substitutes, alternative fertilizers, and food waste recycling options like Harry. Our energy and climate problems aren’t getting better fast enough, but our food and climate problems are still getting worse, and we’re not going to fix them by doing the same things we’ve always done.
That’s just putrescence.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
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.