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The effort to measure companies’ carbon footprints is remarkably imprecise — and suddenly more important than ever.

Large companies generate a gargantuan amount of carbon-dioxide pollution.
Take the big-box retailer Costco. During the financial year 2020, it emitted 144.5 million metric tons of carbon dioxide — a number on par with the Philippines’ annual emissions. Nike pumped out the equivalent of 11 million metric tons of carbon during the same period, a footprint roughly equal to Zimbabwe’s. Apple, meanwhile, was somewhere on the order of Estonia.
You’ve probably seen data like this before. But here’s a question: How do companies actually arrive at these numbers? How did Costco know its carbon footprint in 2020? Carbon dioxide and other climate-warming gases are invisible, potent even in trace amounts, and constantly absorbed and produced by hundreds of billions of different organisms and chemicals around the world. Costco alone directly or indirectly choreographs the actions of millions of people and things: sailors and longshoremen, factory workers and cotton farmers, employees coming in for their shift and marketing managers spending down an advertising budget.
How could a company like that possibly know its carbon footprint?
Here’s the sorry answer: Most companies don’t. They estimate.
Those estimates are suddenly looking more important. New laws and a proposal from the U.S. Securities and Exchange Commission could soon require that companies treat this data with the same seriousness that they devote to their accounting books. Companies now need their corporate climate data to do something that it was never meant to do: help them make decisions.
So the race is on to help companies estimate better. On Wednesday, Watershed, a startup that helps companies run their climate programs, bought VitalMetrics, a climate-data mainstay that owns and manages one of the most important tools that companies use to estimate their carbon footprints.
That tool, called the Comprehensive Environmental Data Archive, or CEDA, provides what’s known as carbon-intensity data for hundreds of products as made in more than 140 countries. It is one of several tools that has been used to advise Microsoft, Kellogg’s, and Virgin Atlantic since Sangwon Suh, an industrial-ecology professor and Intergovernmental Panel on Climate Change author, founded VitalMetrics in 2005.
Watershed’s acquisition of VitalMetrics signals that corporate climate data is entering a new stage, Taylor Francis, one of the company’s cofounders, told me. Watershed, at least, is a different kind of company than the climate bean counters of yore: Founded by former employees of the payments behemoth Stripe, it has raised $84 million from the venture-capital firms Kleiner Perkins, Sequoia Capital, as well as the billionaire Laurene Powell Jobs.
“The traditional corporate climate complex was basically designed for a world of numbers in the corporate social responsibility report, and a pledge, and a press release,” he said. ”We’re shifting to the new world of numbers in a 10-K,” the annual financial report that public companies must file with the government, “and a planet running out of time.”
I will admit I had it all wrong. I had assumed that because corporate carbon footprints sounded precise and vaguely science-adjacent, they were produced by something like a scientific methodology themselves. I imagined a company’s employees — or at least their consultants — collecting emissions data smokestack by smokestack, pacing around factories while studying air-quality monitors, and doing careful math somewhere in the vicinity of a bunsen burner or two. (I believed this, I should add, despite knowing that many corporate climate reports contain glaring arithmetic errors and sometimes literally do not add up.)
That sort of methodology is the “platonic ideal of carbon accounting,” Francis, the Watershed cofounder, told me. In a perfect world, a company would have measured the per-ton emissions of each of its processes, and it would know these for each of its suppliers down to the raw material.
Yet this is still a ways off for most companies. Instead, the bulk of carbon accounting today now happens in spreadsheets, and it uses dollars, not tons, as an input. Each consumer good or raw commodity aligns to a “factor,” a multiplier that says that for every dollar spent on, say, glass or aluminum, a certain amount of carbon is emitted. A climate team inputs the dollar amount, multiplies it by the factor, and arrives at a result: a company’s annual carbon footprint.
Until now, Watershed and other firms have often calculated corporate climate emissions by using a U.S. Environmental Protection Agency-made database called the Environmentally Extended Input-Output, or EEIO, model, Francis said. “You start with very coarse input data like, we spent $100 million on marketing. So you go to the old EEIO database, and the EEIO says that in the U.S. 10 years ago, the carbon emissions per dollar of marketing spend was X, and you multiply that to get your emissions number.”
“I think that gets you into the right order of magnitude,” he said, but it was messy. The EEIO data is roughly a decade out of date, meaning it overstates climate pollution from the power grid and understates the role of inflation.
VitalMetrics’ CEDA database, on the other hand, is updated every year. It contains carbon-intensity factors for more than 300 products and — most important — it varies these factors based on the country of origin. Going forward, Watershed will calculate corporate emissions data using these CEDA estimates.
This kind of data-gathering isn’t fine-tuned enough for companies to actually make better decisions with their data, Madison Condon, a law professor at Boston University who has criticized the reigning approach, told me. Under the current approach, a company can improve their carbon-accounting data only by shifting production to countries with lower emissions factors. It doesn’t get credit for, say, installing technologies at its existing factories that lower emissions.
That is unsustainable because corporate carbon accounting is becoming important to governments around the world. The Securities and Exchange Commission has proposed requiring publicly traded companies to disclose carbon data and major climate-related risks. Even if that rule is swatted away by the Supreme Court, the European Union will soon require tens of thousands of companies to disclose sustainability and emissions data; these rules could apply to more than 10,000 foreign companies, including many mainstream American brands. California could soon pass its own law mandating that companies produce carbon-accounting data.
Even apart from those disclosure requirements, carbon-footprint requirements are now written into laws. Some of the Inflation Reduction Act’s subsidies will pay out only if a product’s carbon intensity is below a certain threshold.
Eventually, Watershed hopes to produce a hybrid tool that can use dollar-based production factors, tonnage estimates, and technology-based improvements together, Francis told me. More broadly, Watershed’s acquisition of Vitalmetrics — not to mention Watershed itself — is a gamble about how the climate economy will eventually work.
“Five years from now, the disclosure piece is just part of the water. No one talks or writes about it because it is an expected part of doing business for every company. And it’s relatively low friction. It’s a part of your annual close, your quarterly close,” Francis told me. “We don’t really talk about climate as a political issue because businesses don't think of climate as a political issue because they see it as, you know, the biggest growth sector of the decade.”
Of course, if that’s true, then companies may not need a startup like Watershed to do their climate counting for them. Bog-standard corporate accountants, like KPMG or Deloitte, will do the task just fine.
But Watershed is betting that climate accounting will remain both more technical and more central to a company’s employee and investor relationships than, say, its power bill. Just as companies use Salesforce specifically to manage customer relationships, or Justworks to manage payroll and benefits, Watershed hopes they will need a single place to manage all their climate data — a single source of emissions truth. It’s investing in its database to try to make that bet payoff.
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On flesh-eating parasites, Italian nuclear, and China’s “wasted” renewables
Current conditions: Tropical Storm Amanda has formed in the eastern Pacific off Baja California, marking the first big storm of the season • Typhoon Jangmi is pummeling Japan, leaving 60,000 without electricity • Western and central Argentina are bracing for a deluge of up to 8 inches of rain this week.
President Donald Trump just upped his bid to revive America’s dying coal-fired power sector. In the first of three funding announcements Thursday, the Department of Energy said it would spend up to $425 million to support the supply chain and expand the capacity of at least 13 coal plants. The agency said in the same press release that it would give $75 million to build a new coal export facility at the West Gateway Terminal Project in Oakland, designed to ship more than 10 millions tons of coal overseas each year. Then the Energy Department unveiled another $350 million to support construction of America’s first new coal plants in over a decade: one in Anchorage, Alaska, and the other in Mt. Storm, West Virginia. The money will also support an upgrade of Puerto Rico’s only coal plant, the infamous 510-megawatt facility in Guayama, and the recommissioning of a 205-megawatt Cumberland, Maryland-based plant that shut down in 2024. Since taking office, Secretary of Energy Chris Wright has repeatedly ordered coal plants set to shutter to remain open, despite steep costs to utilities that the companies are now challenging in court. But coal plants themselves have played the biggest part in thwarting his plans, given that — as Heatmap’s Matthew Zeitlin wrote last year — they keep breaking down.
Two days ago, I told you that the Trump administration planned to dismantle a decade-old U.S. monitoring system to track coastal environments and shifting ocean currents. Now the European Union is stepping up to fill the gap. Earlier this week, the European Commission announced plans to “position the EU as the world’s leading provider of ocean intelligence by contributing 35% of the global ocean observing system by 2035 and securing 35% of the market for ocean observation technologies.” In a statement, European Commission President Ursula von der Leyen said the program, called OceanEye Europe, will allow Europe to “lead the race to understand our ocean, to protect it, and to sustainably harness its potential.”
Cool, cool, cool: The U.S. just recorded its first case of flesh-eating New World screwworm in decades. Fun! On Wednesday, the U.S. Department of Agriculture confirmed that, for the first time in 60 years, the parasitic fly whose maggot larvae feed only on the flesh of warm-blooded animals had been detected in the umbilical area of a three-week-old calf at a ranch in South Texas. So far, the USDA said there are no additional cases. CNN outlined the stakes this way: “Although it is not a food safety issue, an infestation can be a food production issue. It could cost the economy billions and raise the price of beef at a time when Americans are already paying record high prices.” Not to mention, as Heatmap’s Robinson Meyer wrote last night, “the screwworm is a lesson about the reality of good governance. State capacity is not so different from managing the electricity system or, for that matter, cutting carbon emissions, in that there is little political reward for getting it right.”
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In 1987, a year after the world’s only major deadly civilian nuclear accident at Chernobyl, Italians voted in a referendum to phase out its own atomic power stations. The last one shut down in 1990. Now Italy is once again looking to harness the power of fission. On Thursday, World Nuclear News reported that the lower house of the country’s parliament, the Chamber of Deputies, had approved a bill backed by Prime Minister Giorgia Meloni to restart the nation’s atomic power industry. A poll taken in 2024 found that nearly half of Italian voters supported construction of new reactors, with just 24% opposed. The bill that lawmakers just approved passed with 155 votes in favor, 86 against, and eight abstentions.
Meanwhile, yesterday afternoon the microreactor developer Antares — whose deal for TRISO fuel I broke news of back in February — split atoms for the first time in its test reactor built for the Energy Department’s reactor pilot program. When the administration announced the 10 companies selected for the program, the White House set a goal of at least three projects reaching “criticality,” meaning that they can demonstrate the ability to split atoms, for the first time by July 4. “Today’s achievement is a historic moment for American nuclear energy,” Energy Secretary Chris Wright said in a statement. “By bringing the first American non-light water privately developed reactor to criticality in more than four decades, Antares has shown what is possible when American innovation is unleashed.” Antares CEO Jordan Bramble said the company, which aims to sell its reactors primarily to the military and NASA, will produce electricity for the first time next year.
In January, the United Kingdom, Norway, and several major European Union nations including Germany and Denmark agreed to a pact to build out a sweeping array of wind turbines in the North Sea, turning the waterway into “the world’s largest clean energy reservoir.” If the pledge holds, roughly 11% of the 222,000-square-mile sea could be covered in turbines. That’s the finding of a new study from Heriot-Watt University in Scotland. Under the current target, the North Sea would host a total of about 19,400 turbines by the middle of this century. By 2030, the U.K. alone is on track to have roughly 4,200 turbines, followed by Germany with about 2,700, and the Netherlands with 1,700, according to Renewables Now. The Dutch would claim the highest offshore wind density, with wind farms covering around 19% of its North Sea waters by 2050, followed by Belgium at 18%.
China’s carbon dioxide emissions from its power sector increased 4% year over year in the first three months of 2026, despite surging deployments of renewables and nuclear power. Why? According to a new Carbon Brief analysis, it’s “wasted” wind and solar. With the grid in the People’s Republic unable to patch the new turbines and panels in, the capacity could not meet growing electricity demand. Had those units been online, the publication’s analysis determined, emissions from the power sector would have been flat in the first quarter of this year.
The U.S. Department of Agriculture confirmed on Wednesday that a New World screwworm — a flesh-eating fly that feeds on cattle, livestock, and other mammals — was found in a 3-week old calf in southern Texas. The screwworms aren’t dangerous to people, but they are a serious health risk to cows, and they are likely to drive already record-high beef prices even higher.
The finding reflects the defeat of what was, up until recently, one of my favorite “unknown” government programs. For decades, the United States government paid to breed millions of male screwworms, blast them with radiation to make them sterile, and then drop them from planes into the rainforest at the narrowest stretch of the Panama peninsula. (Sarah Zhang, the bravura science writer at The Atlantic, wrote the ultimate story about this project back in 2020, which is how I learned about it in the first place.) These sterile male worms mate with female screwworms but produce no larvae, creating a biological border in Central America across which screwworms cannot pass, at least in theory.
That border was breached in 2022 — perhaps via infected livestock smuggled across the Darién Gap — and since then screwworms have been inching toward Mexico and the United States. They were hundreds of miles from the border last summer; now they seem to have crossed it. Once they’re inside the country, the screwworms will be difficult to cordon given that livestock move travel regularly as they move from ranch to slaughterhouse.
The U.S. government is on it — sort of. Brooke Rollins, the agriculture secretary, announced efforts last July to open a new factory in Texas capable of producing 300 million sterile screwworms. Regardless, re-eradicating the worms is going to be much harder than keeping them under control — the U.S. established the bio-wall in that narrow strip of Panama because it was most efficient, but eliminating the bugs at first required enormous air drops across the southern United States and the entirety of Mexico. That will require a bigger bug factory.
Screwworm isn’t the only historic pest that the American government has lost control of: Our measles eradication status is now also under review. New pests threaten, as well, such as the alpha-gal tick and Lyme disease.
I would highlight that the screwworm is a lesson about the reality of good governance. State capacity is not so different from managing the electricity system or, for that matter, cutting carbon emissions, in that there is little political reward for getting it right. Voters do not thank politicians when something bad doesn’t happen — except in the most obvious cases — and they broadly do not notice when difficult systems work. (Nor do journalists — or, for that matter, the algorithmic feeds that have partially replaced us.)
The screwworm may also point to the virtues of taking a more muscular — a more openly protean — approach to environmental engineering. For decades, the U.S. government really did succeed in squashing the screwworm, and while the ecological effects of the widespread and cheaper cattle farming that resulted are perhaps best left to another discussion, it does make me wonder: Should we consider trying the same thing for ticks? Mosquitos?
Quiet desperation, meet artificial intelligence.
Like many new parents, I devote considerable time to thinking about sleep and why it’s not happening. Should I have sung the bedtime song and then changed the diaper? Did the baby need a fourth nap, or was the mistake letting her take a third so close to bedtime? It came as a surprise the other day, then, when a fellow parent in my baby group revealed she isn’t overthinking the whole sleep schedule thing at all. “I asked ChatGPT to write my baby’s sleep plan,” she told us. “It’s validating!”
To this author, personally, outsourcing parenting decisions to the world’s most sophisticated Mad Libs respondent seems like one of the signs that we’re doomed. Sleepmaxxing mothers aside, a plurality of Americans agree with me. Per Heatmap Pro’s latest polling, 45% of voters are “pessimistic” about the long-term impact of artificial intelligence on their lives, with just 22% saying they’re “optimistic” and about a third saying they’re unsure.
Americans were even more negative about the perceived impacts of AI on “society as a whole” — more than half, 55%, said they were pessimistic, while just 17% said they were optimistic. Maybe “future generations” will have it better? Eh. Again, net pessimism outweighed optimism in our polling by more than 30 points (52% to 20%).
Look a little closer at who hates their life because of AI and you might be surprised. The youngest respondents in the survey (and those who will have to live with the tech the longest), were by far the biggest doubters. Respondents aged 18 to 34 reported the most pessimism of any major demographic about the estimated impact of AI on their personal lives, tied with women generally at net 33 pessimistic over optimistic. For AI’s impact on society as a whole, there was a 53-point spread in favor of AI making things worse (68% pessimistic to 15% optimistic), which is 15 points worse than the next most pessimistic age group, the 35- to 49-year-olds.
Seniors, by contrast, are a little more sanguine. Among the 65-and-over crowd, the pessimism gap was a comparatively small net 12. In fact, men over the age of 65 were the only major group to report being more optimistic than pessimistic on AI’s impacts on future generations (34% to 30%) and on their own lives (35% to 32%). By contrast, young women were among the most negative of all groups; nearly three in four women in the 18 to 34 range (73%) said they were pessimistic about AI’s impact on society, and the same group was net 62 under water on AI’s effects on future generations. (Our findings are in keeping with other polls that show a gender gap on the embrace of AI.)
Education, surprisingly, wasn’t a big difference-maker. People who attended college reported nearly identical pessimism about AI’s impacts on society and future generations as non-college-educated respondents. College-educated people were just a few points less pessimistic about AI’s impact on their own lives, 25% versus 29% for those who didn’t attend.
So who actually thinks AI is going to be a good thing? Black respondents were at least more evenly divided on the impact of AI on their personal lives (33% optimistic to 33% pessimistic), though they were less convinced that the technology is good for society or future generations (13 points net pessimistic). People who prefer a hands-off federal approach to AI are generally encouraged by the technology’s application in their own lives, at net 13 optimistic. But even the most AI-friendly group’s outlook dropped off when considering its implications on society as a whole (net 4 pessimistic) and on future generations (net zero).
Independent voters bristled more at AI’s impacts on their lives (pessimism net 32) than Democrats (net 30), and on the question of “society as a whole,” the bloc ran away with net pessimism of 48, compared to Democrats (net 45) and Republicans (net 27). Among Republicans, MAGA voters were net 25 toward pessimism about AI’s impacts on their lives — in spite of President Trump’s boosterism — compared with the even-more-pessimistic non-MAGA voters at net 34 pessimistic.
Are Americans just a half-glass-empty group to begin with? Well, maybe — the percentage of adults who told Gallup they anticipate having “high-quality lives in five years” declined to less than 60% in 2025, the lowest level in two decades of polling. And while this is Heatmap’s first year tracking AI optimism, in Stanford University’s 2025 Artificial Intelligence Index Report, an adjacent line of inquiry found that people are increasingly warming up to the technology, with the “share of individuals who see AI products and services as more beneficial than harmful [rising] from 52% in 2022 to 55% in 2024.”
At the same time, about a third of Americans in our polling worried that AI puts their jobs at risk; a mere 6% said they believe that “AI will create jobs across the country, and I expect my own career to benefit.” Hopefully, there are no baby sleep trainers among their numbers.
The Heatmap Pro poll of 4,118 American registered voters was conducted by Embold Research via text-to-web responses from May 15 to 28, 2026. The survey included interviews with Americans in all 50 states and Washington, D.C. The margin of sampling error is plus or minus 1.6 percentage points.