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:
To do it right, you’re going to need a building science pro.

When Zara Bode, a musician from Brooklyn, New York, first walked into the old seven-bedroom Victorian in downtown Brattleboro, Vermont, it just felt right. Her husband, also a traveling musician, had grown up nearby. “You walk in this house and you’re like, oh, there’s a good vibe,” she told me. Since the 1890s, when it was built, it had been a community health center and a food co-op, before being lovingly restored by the older woman who sold it to Bode and her husband in January of 2020. Bode hoped to make it their forever home, a place for friends and family to gather.
Within a month of moving in, she and her husband both lost their incomes in the pandemic. Then they made a brutal discovery: the house was ruinously expensive to heat.
They spent all their time huddled in the kitchen with their two young children in front of the wood burning cookstove and kept the thermostat at 65. Even so, they were running through a full tank of oil every nine days. Each delivery cost more than $1,000, adding up to twice their mortgage every month. They had to ask for government emergency assistance.
Bode started asking around to other families, who told her about a state-funded program that gives out 0% weatherization loans with deferred repayment to low-income families. She got quotes from two different reputable companies, each of which proposed using polyurethane spray foam insulation in the large basement. The buzz in the community was that spray foam is a miracle product — so incredibly insulating that it would cut their heating oil needs down by two-thirds or or more. But Bode was protective of the old Victorian. “I knew it was lucky for us to get this house in the first place. We don’t have the money to make mistakes,” she says.
Without any outside expert to turn to, desperate for relief, and grateful for Vermont’s robust social safety net, she went for it.
She would come to regret it.
To hit its climate goals, the U.S. is going to have to upgrade its old housing stock. Residential energy use accounts for about 20% of U.S. carbon emissions, and the lion’s share of that energy is used to heat and cool homes. At the same time, low-income families are struggling more than ever to shoulder the financial burden of doing that. In 2023, the number of American families needing assistance jumped by 1.3 million to over 6 million.
The Inflation Reduction Act is aiming to tackle these twin crises, with a tax credit covering 30% of the cost of insulation and air-sealing materials, up to $1,200 annually per household. So far only New York has an active IRA-funded home rebate program, but more states have applied to start handing out funds to homeowners over the next year, which should also help shield Americans from the health effects of extreme temperatures.
The problem is, insulating an old home is a delicate and complex process. Improper installation can lead to mold, dry rot in your home’s framing and roof, and poor indoor air quality that can make you sick.
“It’s potentially a huge problem,” Francis Offerman, a.k.a. Bud, an industrial hygienist who does indoor air quality testing for homeowners (and lawyers) who suspect a house or apartment is making its inhabitants ill, told me. “Especially if your mindset is, we’re going to just spray foam the home, and that’s it.”
Bode reached out to me last year after she read my viral story for VT Digger, which raised the alarm about the risks of spray foam insulation in particular. (Though experts say any insulation done badly can cause problems.) She and her family had vacated their Victorian for a few days in early 2021 while the basement was spray foam insulated. When they moved back in, Bode was struck by the bad paint smell. That eventually went away, and oil deliveries dropped from every nine days to every three weeks.
But then she realized the basement, which used to be bone dry, was now damp all the time. She bought two industrial dehumidifiers that run constantly, and still the smell of mildew wafts up through the floorboards. Bode has allergies to mold and mildew and worries the bad air quality could affect her kids, who also have allergies and asthma. She’s had to move all her furniture and art out of the basement lest it get damaged.
When she saw my article, she felt a mix of emotions. On the one hand, after having her concerns dismissed by the insulation company, she finally felt validated. “That was the first time that I had heard about air exchangers and other things I can’t afford,” Bode told me about reading my article. But she wondered, “Did I ruin a house that’s been standing strong for 140 years?”
The kind of person that could have advised Bode on how to safely insulate her historic home would be someone trained in building science — that is, someone educated in the physics of buildings, who can identify moisture issues and air leaks, recommend appropriate materials and HVAC solutions, and give you a step-by-step plan for implementing them so your home stays healthy and whole.
Unfortunately, many insulation companies, architects, and contractors have either never heard of or are actively hostile to these concepts, which they see as expensive, unnecessary, overly complicated, and (in the case of many spray foam contractors) an impediment to making the sale.
“In the grand scheme of things, building science is a relatively new field,” Eric Werling, who recently retired after 30 years of directing the U.S. Department of Energy’s Building America program to run his own consulting business, told me. “People have studied structural engineering for thousands of years. But air-tightening buildings is a relatively new phenomenon.”
Up until the 1970s, people in the U.S. didn’t think much about insulation. Then the energy crisis struck, and oil shortages caused prices to skyrocket. President Jimmy Carter told Americans to put on a sweater and turn down the thermostat. Letting all that expensive energy flow outside suddenly seemed like a waste of money.
The Department of Energy launched its Weatherization Assistance Program in 1976 for low-income families and created efficiency standards for commercial buildings that relied on the new, synthetic materials that had emerged after WWII. The problem was, as homes and commercial buildings were sealed, a lot of people got sick. The most high profile cases were cancer from chronic radon exposure or quiet but shocking deaths from carbon monoxide poisoning. But there also emerged the autoimmune-adjacent condition called Sick Building Syndrome, a constellation of symptoms related to breathing in VOCs from furniture, carpeting, pesticides, and cleaning products circulating inside a tight building.
“The Department of Energy… screwed it up a lot at the very beginning,” Joe Lstiburek, a longtime building science consultant, told me. But the DOE started training its weatherization crews, establishing standards for proper insulation, and providing additional funding for safety measures, including mechanical ventilation. “America became a world leader at figuring out how not to rot houses and how not to kill people,” Lstiburek said.
Today, indoor air quality in the workplace has dramatically improved. Aspects of building science have been codified in residential homes as well, with some states requiring that new builds with a tight air seal include mechanical ventilation. But nobody I talked to could point to similar requirements for an existing home that has been retrofitted with insulation. And when I asked Lstiburek if low-income renters and homeowners have access to building science information and advice, he said, “No, they do not.”
According to Werling, there are still probably fewer than a thousand building science experts, and many are eyeing retirement. “Their teachings have impacted thousands –– probably hundreds of thousands –– of people in the construction industry.” He points to New York and Wisconsin as two states that have had robust contractor training programs for the longest. But he admits that’s still a small percentage of the millions of people involved in construction in the U.S.
“There are just too many companies with people who don’t know enough about the issues regarding moisture doing whatever they want and leaving the homeowner with the bill,” Chris West, a Vermont-based certified consultant and trainer for Passive House, a design standard for ultra-low-energy-consumption homes, told me. “Often these companies have some kind of caveat in their contract that makes the owner responsible for any future issues.”
To make things worse, our homes are more delicate today. New building construction has largely switched from rot- and mold-resistant materials such as hardwood and plaster to cheaper manufactured mold-prone materials like plywood and drywall.
“Green” or “eco” home programs that advise homeowners focus solely on energy efficiency, and tightened energy codes are requiring ever more robust insulation without taking into account existing moisture problems (such as a wet basement or unventilated bathroom), which are not rare. NIOSH estimates about half of all homes have some sort of moisture or mold issue. Residential contractors, architects, and developers, meanwhile, are largely free to ignore building science concepts and go about their business doing things the way they’ve always been done. And there doesn’t seem to be a good plan in place to upskill contractors for this next weatherization push or protect consumers from shoddy workmanship.
“There isn’t an educational track that’s indoor air quality in universities or colleges,” Offerman told me. “I’m 71 now. I’m gonna retire eventually, and where are the replacements?”
I’ve talked to several homeowners who have been burned by bad insulation jobs, and every one expressed dismay that contractors aren’t required to at least share the potential risks or downsides of getting your home weatherized. For example, homeowners may have to install mechanical ventilation at an extra cost of a few thousand dollars, and spray foam, as opposed to traditional batting insulation, is permanent and all but impossible to remediate or take out.
This information is largely hidden from consumers, even savvy ones like me. I was pitched spray foam by an energy auditor for my own old farmhouse, and I had to go out and interview a half dozen experts for an article and pay $1,000 to West to drive two hours down to audit our house (again) and come up with an alternative plan I was comfortable with.
Werling doesn’t want homeowners to be scared away from weatherizing their homes. “In the vast majority of cases, homeowners are better off when they insulate and air-seal their homes,” he said, “but it’s important to be aware that the house is a complicated system of parts. Hire the right contractor to help avoid potentially costly problems down the road.” He points to the Home Improvement Expert section of the Building America Solution Center from the U.S. Department of Energy, which has detailed checklists you can go over with your contractor to ensure the work is done properly. West suggests homeowners find a certified consultant at Passive House Institute US.
The building science experts I spoke to suggested things like an educational program for consumers so they know to ask about ventilation, third party inspections before and after weatherization projects with the results entered into the public record, pre-sale energy audits, and mandatory building science training for contractors and their crews. Offerman said weatherization programs should hold installers accountable for insulating and ventilating according to the latest building science standards as a condition of receiving funds.
The question is how many homeowners like Zara will have their homes and health damaged before the situation is addressed. “It’s not that we don’t know that this is happening,” Listiburek says. “It’s that it’s not painful enough yet.”
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
A new dashboard from the Sustainable AI Group, founded by artificial intelligence alums, estimates the relative energy intensity of proprietary tools.
The rise of artificial intelligence is driving an historic surge in electricity demand that’s boosting fossil fuel use and threatening climate progress. All this electricity doesn’t power AI in some generalized, always-on way, though. Data centers’ energy consumption is a function of the millions of individual queries users submit to AI programs such as Claude and ChatGPT.
When it comes to how efficiently models process those queries and generate responses, AI models are not interchangeable. Some are more like gas guzzlers, others more like Priuses. When a user engages an AI chatbot or AI agent, however, there’s essentially no way for them to know which kind of vehicle they are stepping into. They may know which company built it, and even the precise model name and number, but no AI company has published information about how much energy one model uses compared to another.
In the absence of corporate disclosure from the big three proprietary AI developers — Anthropic, OpenAI, and Google — researchers with the Sustainable AI Group, a research and advisory company, developed a backdoor method to estimate and compare the amount of energy these developers’ models consume. They published their findings on Tuesday in an interactive dashboard that ranks AI programs by energy intensity.
“We think this is an important next step to get some science-based information out there to help folks start making better decisions,” Boris Gamazaychikov, the CEO of the Sustainable AI Group, told me. “We also hope that if the model providers think that this is really wrong, that they can come out and prove it with some actual data.”
In general, the researchers found that larger, higher-capability models, such as Anthropic’s Opus and OpenAI’s Sol, used nearly four times as much energy on average as smaller, nimbler models from those companies, Haiku and Terra. Newer iterations of each model also weren’t necessarily more efficient than their predecessors.
While the group has yet to evaluate the latest models that hit the market during the research period, so far the researchers found that for the same task, the least efficient models can consume more than 30 times the energy of the most efficient models. They also found a significant difference between “chat” sessions, where a user asks an AI chatbot a question, and “agentic” sessions,” where a user asks the AI to perform a series of tasks. A typical agentic session used 27 times more energy, on average, than a typical chat session conducted using the same AI model.
The Sustainable AI Group was founded by Sasha Luccioni, the former AI and climate lead at the open source AI platform Hugging Face, and Gamazaychikov, who previously led AI sustainability at Salesforce. In their earlier roles, the two collaborated on a project called AI Energy Score, which is similar in spirit to the Environmental Protection Agency’s EnergyStar program for home appliances. They developed a method to directly measure the energy efficiency of “open-weight” AI models, or those that fully disclose their inner workings, and published the results in a public leaderboard.
Luccioni and Gamazaychikov founded the Sustainable AI Group because they wanted to give AI users, particularly large corporate users, the tools to understand the relative emissions impacts of proprietary AI models. Gamazaychikov told me that Salesforce had tried to get energy-use data from its AI providers for years to no avail.
Their first hire was Nidhal Jegham, a graduate student at the University of Rhode Island who published a landmark paper last year called “How Hungry is AI?” Jegham and his co-authors developed a method to estimate the energy, water, and carbon effects of proprietary models at the level of a single prompt or query. The paper was accepted by the journal Communications of the Association for Computing Machinery, and the peer-reviewed version will come out in January.
The approach the Sustainable AI Group developed builds on both Jegham’s paper and the AI Energy Score project. The work began with testing open-weight models to see how they perform in realistic deployment configurations and directly measuring their energy consumption. From there the researchers identified mathematical relationships between various open models’ energy use and other measurable statistics, such as their size.
The next step was to take those statistical relationships from the open-weight models and apply them to similarly-sized proprietary models. The problem is, no one knows how “big” proprietary models are. The size of an AI model usually refers to the number of parameters it contains, i.e. the quantity of numerical representations of what the model has learned that it uses to produce a response.
“When we have a closed model, we don't have the model size. We don't have the deployment conditions. We don't have anything, so we need to find things we can observe from this closed model that can reflect its size,” Jegham explained to me. One key discovery, he said, was that “knowledge retention,” or how well the model can remember factual information, is a strong predictor of model size. A company called Artificial Analysis tests models for knowledge retention, so the researchers compared those results to model size for open models and applied the same statistical relationship to estimate the size of closed models.
This is a simplified explanation — there were many other variables and data points that went into the Sustainable AI Group’s estimates. The researchers also had to develop a separate methodology to evaluate Google’s models, since those mostly run on the company’s proprietary “tensor processing units,” rather than the Nvidia chips the researchers’ initial measurements were based on.
The group’s main findings are based on a per-token estimate of each model’s energy use, i.e. the energy required to process the smallest units of data that an AI deals with. Every time you type a question into a chatbot, the model breaks down the words into smaller bits — i.e. tokens — each just a few characters long, usually. The model also first formulates its response in tokens before translating it to text, an image, or whatever you’re requesting; input tokens are less energy-intensive than the tokens the models spit out. The Sustainable AI Group reports each of its per-token estimates as a range to reflect uncertainty.
For now, the firm is keeping its per-token estimates behind a paywall, but it has already started to use them to advise corporate clients in estimating their AI-related emissions, Gamazaychikov said. For example, he mentioned working with Etsy to help the online retailer develop a “model router,” essentially some software that routes a given query to the most appropriate model for the task, taking into account carbon and cost. It’s also partnering with the corporate emissions accounting platform Watershed to explore how to integrate its model-specific energy numbers into Watershed’s system.
Instead of displaying per-token energy use, the Sustainable AI Group’s public dashboard ranks models’ energy intensity per “typical” session, whether chat or agentic. It defines a typical chat session as “a short back-and-forth” with “a question, an answer, and a follow-up or two to refine or clarify it,” whereas a typical agentic session is “an hour or two of the assistant reading files, making changes and checking its own work across a project.” There are also results for a “heavier” or “lighter” session — generally tasks that take more or less time or require greater or fewer back-and-forths with the AI.
The least efficient AI model for both a typical chat and agentic session, per the dashboard, is Anthropic’s Claude Fable 5. A typical agentic session uses 76 watt-hours, according to the Sustainable AI Group’s estimate, or about the amount of electricity it would take to charge four smartphones, per Department of Energy estimates. The most efficient model for a typical chat session was Claude Haiku 4.5, while the most efficient model for a typical agentic session was Open AI’s GPT-5 nano.
Jegham said the point of the dashboard is not to villainize particular companies or models or to argue that more efficient models are superior. He acknowledged that a more complex task may require a larger model, and a larger model is likely going to be more energy intensive than a smaller one.
The ranking is also flawed in that it assumes every model delivers responses with the same amount of verbosity. In reality, some models may use more words, and therefore more tokens, to answer the same question. Jegham gave the example of Anthropic’s Sonnet and Opus models: Sonnet is less energy intensive per token, but it typically requires more tokens for the same task, so sometimes it’s more energy intensive than Opus. The dashboard doesn’t reflect these differences.
While energy intensity is the core of the dashboard’s function, it also includes estimates of each model’s carbon emissions per session. That calculation opens up many more cans of worms, since actual emissions depend on where in the country the hardware that’s processing the AI session is located and what’s powering it. There’s no easy way to know which data center is processing a given AI request. Instead, the dashboard offers users the option to toggle between different emissions intensities to reflect different scenarios — a data center powered by behind-the-meter natural gas plants, for example, versus one located on a relatively clean grid.
A typical agentic session with Claude Fable 5 powered by a behind-the-meter gas plant emits roughly 52 grams of CO2, it says, while a heavy session emits just over 200 grams — equivalent to driving about half a mile in a gasoline-powered vehicle.
I reached out to OpenAI and Anthropic to ask why they don’t publish energy intensity data, whether there are barriers to doing so, and whether they have plans to do so in the future. A spokesperson from OpenAI told me the company relies “on infrastructure partners to operate the data centers that run our models, so we don’t directly collect the underlying energy data. That’s an important consideration in how we assess and provide this information.” Anthropic declined to comment.
Google, on the other hand, has published an energy use estimate for “the median Gemini Apps text prompt in May 2025,” but has not provided an update for subsequent model versions. In response to my request for comment, the company reiterated statements from Cooper Elsworth, a senior technical manager for AI energy, which Google shared with me for a previous story on Watershed’s efforts to calculate AI-related emissions. He said there is no industry consensus for how to measure and disclose the environmental footprint of frontier AI models. He also echoed OpenAI’s comments, noting that gathering accurate energy use data requires “highly advanced measurement infrastructure,” which not all AI providers have access to.
“We believe there is immense value in aligning the industry on comparable metrics to fairly compare and incentivize action,” he said.
Current conditions: Last weekend’s nor’easter caused up to $13 billion in damages across the Mid-Atlantic and Northeast regions of the United States • Hurricane Nolo shut down a major highway on Hawaii’s Big Island • A heat dome forming over eastern Africa is driving temperatures in Juba, the impoverished capital of South Sudan, past 100 degrees Fahrenheit.
At last, right after hopes dimmed, we have a deal. Senate negotiators reached a bipartisan agreement on a package of federal permitting reforms, locking in what Politico described as “the contours of long-sought legislation to speed up approvals for new energy projects in the U.S.” Democratic negotiators Senators Martin Heinrich of New Mexico and Sheldon Whitehouse of Rhode Island told the news outlet they were withholding endorsements of a final deal as “the last five yards” of the agreement are hammered out. Whitehouse cautioned that he needed “more clarity from the Trump administration” on what their easing of the blockade on wind and solar approvals would mean. Neither Democrats nor Republicans released text of the bill, which both parties said should come out this week.
The Nuclear Regulatory Commission is set to issue only its second construction permit for a novel type of nuclear reactor in decades. At 11 a.m. EDT, the agency is scheduled to give the Tennessee Valley Authority the go ahead to begin building what could be the nation’s first commercial small modular reactor, a 300-megawatt unit at the federally-owned utility’s Clinch River site. The project is one of two the Department of Energy is financing to support deployment of third-generation SMRs, a technology based on existing large-scale reactors but shrunken down to force developers to buy more and help the industry bring down the cost of atomic power through repeatedly building the same design. (The second one is Holtec’s expansion of the Palisades nuclear plant in Michigan.) The permit comes six months after the NRC gave TerraPower, the Bill Gates-backed fourth-generation nuclear developer, the green light to start constructing its liquid sodium-cooled reactor at the site of an old coal plant in Kemmerer, Wyoming. The unit planned at Clinch River is a BWRX-300, a boiling water reactor from GE Vernova Hitachi Nuclear Energy that borrows from the technology behind roughly a third of the American nuclear fleet. Boiling water reactors, pioneered by General Electric in the mid-20th century, traditionally represented a competitor to the more dominant pressurized water reactor invented by Westinghouse. By the time Clinch River comes online, North America may already have its first BWRX-300 in operation in Canada, where Ontario Power Generation is building the first reactor at its Darlington plant. TVA has said it plans to bring its debut BWRX-300 online by the end of 2033 at the latest. Yet, despite the forthcoming permit, no start date for construction has been announced.
The NRC, meanwhile, has sought to advance plans to restart the functional reactor at Constellation Energy’s Christopher Crane Clean Energy Center, the facility formerly known as Three Mile Island. Last week, the agency issued an environmental assessment finding no significant impact from plans to begin generating electricity at the plant again. While America’s attempt at restarting a permanently shuttered reactor for the first time are largely going according to plan, regulators are investigating what the Detroit Free-Press described as a “mishap” in the handling of fuel for Holtec’s Palisades nuclear plant in Michigan, which could come online in a matter of weeks. The company said nuclear fuel rods “tipped” during installation, halting the refueling process and forcing plant operators to return to the NRC for approval to retrieve the assembly from within the reactor vessel.
Arevia Power marketed itself as a renewable energy powerhouse led by solar industry veterans. Now, my colleague Jael Holzman reported yesterday, the company is making data centers and gas turbines central to its business. “Arevia is an energy company that delivers reliable and affordable electricity to the communities and utilities we serve,” Ricardo Graf, the company’s chief development officer, told her via email, acknowledging that “in some cases, that energy may be solar; in others, it may be gas.” He added that “yes, we also develop data center projects, but ones with accompanying power solutions to ensure ratepayers are not impacted by the data center’s energy needs.”
The shift in focus comes right as American solar offers a major new business opportunity. Solar panels are aging, and newer technologies are as much as 70% more efficient than those designed and built two decades ago. “All across the United States, solar panels are withering on the vine. Equipment installed 10 to 15 years ago is still capturing sunlight and pumping out electricity, but significantly less of it than when the cells were new,” my colleague Emily Pontecorvo wrote yesterday about a new report examining the potential to swap out the country’s existing panels for new ones. “This is not a story about decline, however, but about growth. America’s aging solar farms represent an opportunity to expand clean energy capacity without using more land — and potentially without having to wait years for new projects to get through the grid’s interconnection queue.”
Sign up to receive Heatmap AM in your inbox every morning:
The TVA isn’t the only government-owned utility making progress on clean power plants. The New York Power Authority — the state electrical company that then-Governor Franklin Delano Roosevelt established in the 1930s and later used as a model for New Deal investments such as the TVA — said Monday that it will take a 51% stake in a 240-megawatt solar plant in the state’s rural northern reaches, according to the Watertown Daily Times. The Rich Road solar farm in Canton, near the Canadian border, will follow a model promoted by progressive legislators with a bill meant to encourage the state to finance and own renewable projects to speed up decarbonization of the grid. Governor Kathy Hochul, a Democrat, has used that authority to support her plans to build at least 1 gigawatt of new nuclear power through NYPA. (That effort, as I told you yesterday, has drawn some blowback from left-wing Democrats who oppose nuclear energy.) EDF Power Solutions North America, a subsidiary of the French electrical giant, will own the other 49% share of the project, which is set to begin construction next year. Once completed, the facility is expected to provide credits to low-income New Yorkers to lower bills.

When I used to think about the Rhine River, the first thing that came to mind was a song off my favorite album from high school. Written and performed by Beirut, the stage name of an American guy who galavanted around Europe making folksy songs that sounded straight out of an American teenager’s romantic notion of an Old World beer hall, the song was called “Rhineland.” Over mournful horns and a plunky mandolin, the song repeats a refrain: “Life, life was all right on the Rhine,” bringing to mind some kind of bucolic interwar existence in an ill-fated era of European history. Two decades later, I can’t tell which has changed more, me or the place I was imagining. The correct answer is probably “both,” but the clearest answer today is the latter. Levels at a key gauge of the mostly German waterway dropped to 1.2 inches below the threshold ship operators use to determine how much cargo their vessel can safely carry down the river without risking damage or running aground, Bloomberg reported. Despite a slight recovery on Monday, the cost of shipping diesel from Rotterdam to Karlsruhe hit a record €260 per ton (equal to just under $296), after more than doubling this month amid the aftershocks of the summer’s record heat waves and droughts.
The latest trouble comes as the Trump administration weighs the merits of a ban on diesel exports. At Heatmap’s Climate Week event last Wednesday, Secretary of Energy Chris Wright ruled out such a step. But Trump said he was “very seriously” considering the step, despite warnings from Goldman Sachs that doing so would raise prices in Europe.
TotalEnergies may be taking up President Donald Trump on his legally sketchy offer of nearly $1 billion to abandon its offshore wind ambitions in the U.S. But the French energy giant — the second-largest European oil company after Shell — sees the energy shock brought on by the U.S. war against Iran as a boon to that very business. CEO Patrick Pouyanne said “high oil prices” are “accelerating electrification,” according to a snippet shared on X by Bloomberg columnist Javier Blas. “We have seen a huge surge in EV sales,” he added, noting that sales are booming well beyond China, in India, Latin America, and Europe. Increased profits from higher crude prices spurred the company to start buying back roughly $5 billion in shares over the next two quarters.
By neutering the Corporate Average Fuel Economy standards, the Trump administration cements the country’s dependence on oil and liquid fuels.
This is Heatmap Daily, a weekday news digest written by our executive editor.
President Trump’s big fuel efficiency rollback is here. This afternoon, the Department of Transportation significantly weakened the Corporate Average Fuel Economy standards, the federal government’s rules that encourage new cars and trucks to get gradually more fuel-efficient over time. Instead of mandating that new cars and trucks hit a target of more than 50 miles per gallon, as the old Biden-era rules had required, new vehicles sold in the U.S. will now need to average only 34.9 miles per gallon.
That target is below the level that most automakers have already achieved in their vehicle fleet. (For reasons too obscure to recount here, the regulatory standard of 34 miles per gallon aligns to real-world gas mileage in the mid-to-high 20s — something my 15-year-old hatchback manages to achieve without much straining.) The new rules also retroactively rewrite the standard back to 2022, meaning that automakers whose fleets once broke the law may now be in the clear.
These changes, in other words, render the fuel economy law, first enacted in 1975, is now moot. But Republicans in Congress had arguably already achieved this last year, when they zeroed out all of the law’s fines for automakers as part of the president’s tax and spending bill. These two changes, taken together, mean that the Trump administration has successfully neutered the U.S. fuel efficiency rules.
We are digging into the rule-making here at Heatmap, and I hope to have more on the documents in the days to come. But one of the lasting ironies of President Trump’s approach to fuel efficiency will be that his own presidency demonstrates its strategic inadequacy.
The Corporate Average Fuel Economy law, after all, did not originate as an environmental policy — climate change had scarcely emerged as a pressing issue in the mid-1970s — but as a national security and economic sovereignty measure. In the aftermath of the oil embargo, American politicians realized that the U.S. economy was far too dependent on oil for its long-term good. This set off a scramble to find new energy sources, prompting a dash back to coal in the electricity sector and a surge in federal R&D spending on alternative energy. (This funding boost eventually created the modern solar, wind, battery, and fracking industries.)
It also led to a successful push to regulate gas mileage. Crucially, this effort did not limit emissions from any one type of vehicle, as the Environmental Protection Administration’s toxic air pollution rules aim to do. Rather, it targeted the average fuel efficiency of cars and light-duty trucks sold in the United States in each model-year. The point was not to regulate any one type of vehicle out of existence, but to increase the country’s overall fuel efficiency over time.
That decades-long effort was never perfect. It created in American statute, for instance, a lasting distinction between cars and trucks, which has bedeviled regulators as SUVs have taken up a larger portion of the new vehicle fleet. But it has also inarguably succeeded: The United States ekes far more value out of every barrel of oil today than it did half a century ago.
Yet the time is ripe to keep making progress. President Trump’s administration has illustrated the persistence of our oil dependence — and the political and strategic problems that it can still engender. Even though the United States has since become the world’s largest producer of oil, the linked and globalized nature of fuel markets means that a supply shock anywhere leads to price hikes everywhere. When an oil crisis arrives — even a largely self-inflicted one, as in the case of the Iran war — then the price of moving things and people rises, the economy suffers, and the president’s popularity falls. Countries can protect themselves from these shocks on a short-term basis by stockpiling oil (as the United States, in fact, does), but they can avoid them only by switching to a far more efficient and electrified transportation system.
President Trump, in other words, may regret the current oil and refining crisis. But by gutting the fuel economy standards — and waging war on electric vehicle incentives more broadly — he is increasing the likelihood that America will face many more crises like it in future years. Consider it his particular gift to his successors.