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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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A letter from Day 2 of New York Climate Week.
Utilities sit at an uneasy intersection between private company and public service. Typically, it’s quite a profitable place to be: Investor-owned utilities get to be monopolies in order to provide electric service in a particular geography and then charge government-approved rates. But that also places them on the front lines of the consumer and political backlash to rising electricity prices.
Those prices are likely to continue to rise. The energy advocacy group PowerLines estimates that in 2025, electric and gas utilities requested some $31 billion worth of rate hikes. Spending on that scale translates into higher rates for consumers as utilities pass along their development costs to their rate base. S&P Global projects that electric and gas utilities will undertake $1.3 trillion in capital expenditures through 2030.
Utility executives are as much politicians as they are operators, as their entire corporate existence depends on a government relationship. So it was no surprise that Calvin Butler, chief executive of Exelon, the utility holding company with around 11 million customers spanning from the Chicago area to the Atlantic Seaboard, was speaking at an event on the sidelines of the United Nations General Assembly hosted by the foreign policy think tank the Atlantic Council on the same agenda as the foreign ministers of Spain and Romania and the prime minister of Syria.
As all this was going on, the White House and Congress appeared to be in the end stages (or at least the beginning of the end stages) of hashing out a deal on permitting reform. While the investor-owned utility trade group the Edison Electric Institute has been publicly supportive of a permitting deal since last year, several industry and policy insiders tracking the deal have told me this week that utilities’ relative political weakness is one reason why a deal might pass.
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That’s because an effective reform to transmission and permitting — especially to interregional transmission planning — could threaten utilities’ spending on serving their own individual territories.
“They are gonna get smoked in the Senate permitting deal,” one energy industry figure following the negotiations told me. When I asked why utilities aren’t opposing a deal, the insider told me, “They need too much from [the Department of Energy] the next few years. They can’t oppose this.”
(I sent a request for comment to EEI, which didn’t respond by press time.)
Butler didn’t weigh in permitting reform — I submitted a question at the event, but alas, it went ignored — but he was straightforward about the importance of maintaining good community and political relationships in the face of rising prices.
“We have to be connected to talk about siting of transmission, distribution lines, or substations. It’s what we do. I always say this: All politics is local,” Butler said. When it comes to local politics, Butler said that Exelon is at the “forefront of advocating responsible growth, responsible build-out, and community benefits agreements that benefit those communities.”
Butler also assigned some blame for the electricity price backlash to data centers and the technology industry, pointing to “people’s concern with AI, people’s concern that they’re going to lose jobs.” The tech industry, he said, “lost the narrative up front, and it’s tough to get it back.”
In the minds of the public and local government figures, however, utilities are very much a part of that story. Several governors or utility regulators in territories served by Exelon have opposed their rate increase requests, especially Pennsylvania Governor Josh Shapiro, who demanded that Exelon subsidiary PECO withdraw a rate case, in a move he claimed saved ratepayers $510 million. North Carolina regulators also rejected a more than $500 million gas project proposed by Duke Energy, calling its price “staggering.”
When it came to how utilities affect everyone in their territory through the prices they charge, Butler was more direct and less cheery than his talk about community benefits. When asked if Exelon could “strengthen the grid” without raising prices, Butler plainly said, “No, you can’t.”
“We’re investing $41.7 billion,” he added. “I’m a part of that increase.”
An investor argues that climate tech should learn to stop worrying and love the robots.
For three years the entire conversation about artificial intelligence in the climate tech and clean energy communities has been about demand. This, of course, is reasonable. The scale of what the world is building right now has no precedent. Amazon, Google, Meta, and Microsoft together spent more than $420 billion on data center infrastructure in 2025, a number dwarfed by the $745 billion they’re expected to spend in 2026. The McKinsey Global Institute puts the global data center buildout through 2030 at $7 trillion — more than the New Deal, the Marshall Plan, and the Apollo program combined.
About 15% to 20% of that unfathomable spending is going exclusively to power the data center scale-up. By 2030, data centers will consume between 3% and 5% of all electricity generated on Earth.
The carbon cost is worse than the financial cost. Google's total greenhouse gas emissions rose by more than 50% in 2024 compared to five years earlier, even as the company worked harder than any of its peers to source clean power. In Armstrong County, Texas, the company is working with developer Crusoe Energy on a nearly gigawatt-scale natural gas plant to power its Goodnight data center campus.
But here is something else to consider: In 2024, Google ran a 17-week trial on 2,400 transatlantic American Airlines flights using a system designed to predict and avoid the formation of contrails. Contrails are the ice crystal trails left by jet engines that account for roughly a third of aviation's total warming impact — more than the impact of the fuel burning. The AI model rerouted flights slightly to avoid the atmospheric conditions that produce persistent contrails, and in doing so, cut contrail formation by 62% without any meaningful increase in fuel burn.
Around the same time, Microsoft used its Azure Quantum Elements platform to sift through 32 million possible chemical candidates for new battery chemistries, and in 80 hours narrowed the field to a handful of promising compounds that could reduce the amount of lithium required by as much as 70%. Meta, working with Georgia Tech, built one of the largest open-source datasets for discovering better sorbent materials for direct air capture, the process of pulling carbon dioxide directly from the atmosphere. Researchers ran nearly 40 million quantum mechanics calculations across 8,400 candidate materials, looking for those that could grab CO2 efficiently without also absorbing water from the air.
All of these things happened in the past two years. They were largely invisible to consumers. Yet they produced meaningful, even transformative climate benefits. Crucially, they cost almost nothing compared to the AI infrastructure buildout. They were side projects, pursued by teams whose quarterly numbers did not depend on their product’s success.
I argued two years ago in an interview with Heatmap that the steep financial and carbon costs of the AI buildout are worth it, and that if we stick with it, the power of AI will quickly yield innovative solutions to address climate change. But the opposition to data centers and AI deployment has created a frustrating paradox. A sector that has spent years describing a technology primarily as a threat — to the grid, to society, to humanity itself — will not, at the end of that time, be in a strong position to invest in what that technology can build. The sector wrote itself into the role of the regulator and critic at precisely the moment it should have been adopting the role of the main customer.
In the first half of 2026 alone, investors put $407 billion into AI startups, Pitchbook calculated. Climate tech, over the same stretch, did fine: $26.1 billion, according to CTVC’s insights report, up 55% year-over-year, the strongest first-half investment numbers since 2022. But low-carbon data centers alone took 34% of it, and two of the sector’s biggest deals were both for data center infrastructure. We essentially took an historic year of climate tech investment and used it to become AI's electricity supplier.
This is definitely a net positive, and critical to a clean hyperscale movement. But there’s more to be done.
Roughly one climate venture dollar in five went to something AI-enabled in 2025, which is a real increase from previous years. But out of $40 billion total climate tech investment last year, that amounts to only about $8 billion. Set that against the $242 billion that went into AI startups in a single quarter — the world's entire annual investment in AI for climate is roughly what AI startups raised every three days at the start of this year.
The three breakthroughs I mentioned at the beginning of this article are just the beginning of what AI can do for the climate — in many cases they’re the easy breakthroughs. They’re prediction, search, and optimization problems where the AI is essentially a faster pair of eyes.
The larger prize is what my colleagues at Obvious Ventures and I have come to call “generative science.” These are models trained in chemistry, physics, and biology that can propose genuinely novel arrangements of atoms rather than merely sorting through existing ones. This is where we unlock nuclear fusion, carbon-free cement and steel, and grid systems that balance themselves. We can make cancer vaccines and drugs optimized with a single patient’s DNA. If we ever make it to another planet, it will be because of AI. The same is true if we ever learn to sustainably feed 10 billion people.
This is not a speculative category anymore. A series of startups are making meaningful breakthroughs in these kinds of technologies. In Cambridge, England, a materials science company called CuspAI is building foundation models for chemistry to find materials for direct air capture of carbon dioxide. In California, Periodic Labs, founded by the researcher who led materials and chemistry at Google DeepMind, raised a $300 million seed round at a $1 billion valuation to run autonomous synthesis labs hunting for superconductors that work at higher temperatures (its valuation has since risen dramatically). And Zanskar, a company Obvious Ventures has backed, trained its models on subsurface data and a century of drilling and satellite records to find geothermal resources the industry had already written off. Last year, it identified a blind site in western Nevada with no geysers or surface expression that has the potential to generate over 100 megawatts.
Zanskar, however, is an exception. None of these other technologies were backed by climate funders. CuspAI and Periodic Labs have received financing from sovereign wealth funds, chipmakers, generalist growth firms, and individual investors who made their fortunes in software.
I’ll be the first to acknowledge that building a climate tech company isn’t easy. Investors often have to make two bets at once: that the science will work and that, if it does, there will be a viable business on the other side. Unlike chatbots from the frontier AI labs that have grown to $1 trillion valuations in less than five years, meaningful climate tech breakthroughs take longer to deploy, and even longer for their impact to put a meaningful dent in climate change.
But companies like CuspAI, Periodic, and Zanskar are proof of what’s possible when we point AI and climate tech in the same direction.
There are three main things we can do differently to continue that progress, and we can start each of them today.
As with any economic shift, aligning the incentives gets us much further than any fleeting policy commitment. When alignment happens, it creates a flywheel where AI powers research in climate tech, whose breakthroughs get fed back into AI to run models more cleanly and efficiently.
Jakob Uszkoreit, the former Google engineer who co-authored the transformer architecture that powers today’s leading large language models, described to me the paradox this way: AI needs carbon to get off the ground, but once airborne, it becomes the mechanism that solves the carbon problem. The question is whether we achieve liftoff before the end of the runway.
New research finds that Europe’s 2025 heat wave was made measurably worse by greenhouse gas emissions since the Paris Agreement.
Europe’s record-breaking heat wave in 2025 would have been a third of a degree Celsius cooler if not for emissions released just since the Paris Climate Agreement was signed in 2015, researchers found in a new study published Tuesday by the American Geophysical Union’s Geophysical Research Letters.
The research marks a step forward for attribution science, which has traditionally worked to tie extreme events such as heat waves and floods to climate change writ large. Now, using artificial intelligence trained on climate models, researchers have managed to link extreme weather to a specific subset of emissions.
“Not only does every little bit of emissions count, but the amount of emissions released since 2015 significantly increased the temperature of [the 2025 European] heat wave,” Jared Trok, the study’s lead author and a PhD student at the Stanford Doerr School of Sustainability, told me. “Before this paper” — which found 99-in-100 odds that human-caused emissions since 2015 increased the severity of the 2025 heat wave — “we couldn’t really make a claim to that extent.”
Though the record-breaking 2026 heat wave fell outside the scope of the study, the 2025 heat wave was no joke either — temperatures crested 115 degrees Fahrenheit in Spain and Portugal, and more than 16,000 died across the continent. Trok’s findings about a relationship between the past decade of emissions and intensified heat also held true for Europe’s hottest week in every year since at least 2021.
While a third of a degree Celsius might not sound like a lot — “it’s smaller than our ability to actually sense,” Trok acknowledged — there’s a growing body of scientific literature that suggests even incremental increases in temperature can be deadly. “It’s nonlinear,” Trok added. “For every additional increment of temperature, the impacts on heat-related mortality are even larger than the previous increment.” Though Trok and his colleagues did not look at mortality specifically, the reasoning indicates dozens if not hundreds of people could have died due to that fraction of a degree.
The study highlights the advances in the specificity and speed of attribution science, which a quarter of a century ago struggled to distinguish the influence of all historical emissions on any individual event. But it also suggests something grim: The past decade also overlaps with the biggest global efforts toward decarbonization. “Even if the decarbonization goals are achieved, these results as well as others suggest near certainty that the extremes, particularly extreme heat, will continue to intensify,” Noah Suresh Diffenbaugh, a Stanford climate scientist and the paper’s senior author, told me.
Paired with a separate commentary also published today by the U.S. Climate Collection, a joint project of AGU and the American Meteorological Society, the research adds an urgent underline to the need for research like Trok’s to be incorporated into state and local policymaking. Many of the institutions that existed to do so in the U.S., however, have collapsed or been actively dismantled by the second Trump administration.
The Climate Collection formed in the void that followed the forced breakup of the sixth National Climate Assessment (and is made up of many of its authors), and argues that the NCA did more than just good rigorous science — it also helped translate that research into a reliable springboard for policymakers.
The U.S. Climate Collection aims to compile an open-access collection of research papers that “lays the groundwork for future national and subnational assessments of climate risks and solutions in the United States.”
The group’s first paper serves as “a call to our colleagues to meet that need and the charge that has been given to us by society to produce the science” necessary for policymakers and other groups to “make better decisions,” Melissa Kenney, one of the commentary’s lead authors and director of research and knowledge initiatives at the University of Minnesota’s Institute on the Environment, told me.
In the past, the formal NCAs have helped inform everything from New Hampshire flood risk management plans to city- and state-level climate policies, the Climate Collection writes in their commentary. (They also set expectations: The last NCA required the involvement of 500 authors, 250 technical contributors, and synthesized more than 8,200 studies, meaning the Collective likely couldn’t replicate the rigor and scope even if it wanted to.) The Climate Collection specifically singles out attribution as an area of priority.
“Compounding extremes and cascading climate risks are increasingly overwhelming our legacy policies and infrastructure,” Kenney said, adding that “being able to understand the impact of these compounding extremes is really critical in a number of communities to be able to make smart, multi-decadal decisions like infrastructure choices.”
But as Trok’s research shows, even assumptions about the climate of 2015 are out of date. Investments in adaptation are a small fraction of the total dollars spent addressing climate change, and as Diffenbaugh stressed, the new paper is just the latest “of a number of studies that highlight that we can expect further acceleration of impacts from extreme events.”
The U.S. Climate Collection doesn’t intend to fill the gap left by the collapse of NCA6 (nor could it, its authors point out, given that it’s a self-organized volunteer group). But its call for synthesis papers of smaller scopes could give policymakers grounds to make decisions pulled from rigorous, peer-reviewed research as the world changes all around us. “These types of assessment reports are one of our greatest professional obligations as scientists,” Kenney said. “Most people will not go and read hundreds of scientific papers to be able to understand what we know and what we still need to know.”
“But,” she added, “there’s a real need for us to be able to provide the information” — before it becomes old news, too.