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The research instead suggests the opposite is true.

When former President Donald Trump was campaigning in Michigan last week, he warned autoworkers that President Biden’s electric vehicle policies would “put an end” to their “way of life.”
“Hundreds of thousands of American jobs, your jobs, will be gone forever,” he said. “By most estimates, under Biden’s electric vehicle mandate, 40% of all U.S. auto jobs will disappear.”
Trump may be exaggerating, but the underlying idea, that electric vehicles require less labor to manufacture than internal combustion engine cars, is the conventional wisdom. It has been circulated for years by automakers, autoworkers, politicians, and journalists. EVs contain fewer parts, the thinking goes, so naturally they will require fewer workers.
That logic seems obvious, which might be why it hasn’t received much scrutiny. But when I tried to find any research supporting it, what I found instead suggested the opposite. A number of analyses showed that electric vehicles could actually require more labor to build than gas-powered cars in the U.S., at least for the foreseeable future.
There are countless news articles and studies that reiterate the point that electric vehicles “have fewer moving parts” or are “less complex” and therefore pose a threat to autoworkers’ jobs. Many cite a 2017 Ford presentation that mentioned a “30% reduction in hours per unit” as a benefit of producing EVs, or former Volkswagen CEO Herbert Diess, who said in 2019 the company would need to make job cuts due to its switch to EVs, which “involve some 30% less effort.” More recently, as the United Auto Workers strike has ramped up, a 2022 quote from Ford’s CEO Jim Farley that “it takes 40% less labor to make an electric car,” has been circulating.
But I couldn’t find any data, research, or even further explanation backing up these figures. Part of the challenge of digging into these claims is that it’s not clear what they even refer to. Are the CEOs talking about the labor required for final assembly, like dropping in the motor and putting on the doors? Are they taking into account the production of components, like the EV battery? Where do they draw the line on what constitutes EV manufacturing?
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Ford didn’t respond directly to my request for more information about its public estimates. Instead, spokesperson Dan Barbossa replied that if I was going to quote Farley, I needed to include his entire quote. After dropping the “40% less labor” statistic, Farley had continued, “So as a family company, we have to insource so that everyone has a role in this world. We have a whole new supply chain to fill out, in batteries and motors and electronics.”
There may be more to Farley’s words than a bit of public relations fluff. His suggestion that building out new supply chains will help people find “a role” aligns with the conclusions of a study that Volkswagen’s independent Sustainability Council commissioned in 2020. It was conducted by the Fraunhofer Institute for Industrial Engineering, a German research group, using Volkswagen company data, and found only minor impacts on employment due to the transition. Losses can be mitigated by “shifting to the production of new components,” it said, like the individual battery cells that make up the battery packs.
One of the findings was that “employment intensity” for the final manufacturing of Volkswagen’s electric ID.3 is only 3% lower than that of the conventional Golf Mk8. The bigger gap is in the labor required to produce the individual components of each car’s drivetrain. The employment intensity of the battery system and electric motor, combined, was about 40% lower than that of the combustion engine and transmission system.
Notably, the study did not include the jobs required to produce the individual battery cells which make up the battery system, because Volkswagen wasn’t producing them at the time. But a more recent analysis of the U.S. manufacturing landscape found that cell production holds the most potential for job creation, and concluded that if you account for this, the transition to EVs could actually result in significantly more jobs.
Turner Cotterman, a McKinsey consultant, led the research as part of his Ph.D. in public policy and engineering at Carnegie Mellon under Associate Professor Kate Whitefoot. He sought out partnerships with U.S.-based automakers and electric vehicle component manufacturers and collected original data from nine companies on the number of hours it takes to complete more than 250 process steps. In some cases he visited the shop floors and personally gathered the data himself. In his final analysis, he also incorporated public data for an additional 78 production process steps. He used the data to model three scenarios where EV and combustion engine powertrains are produced at the average efficiency, as well as a “most efficient” case and a “least efficient” case.
In every case, EV manufacturing required more hours. The conventional powertrains took 4 to 11 worker hours, while the EV powertrains took 15 to 24. “A lot of the confusion sits around, what parts are you counting in this evaluation?” Cotterman told me. “We’re saying that if you were to produce every single component in an EV in the U.S., that the total sum of those powertrain components will be higher than the equivalent ICE components.”

There are a few important caveats to the research. For one, Cotterman stressed that these are present-day numbers, and they might change as EV plants scale up and learn to be more efficient. When he looked at data from Chinese manufacturing plants, they were a lot more efficient than what he saw in the U.S. And that relates to his other point. Currently, most battery components are not made in the U.S.
“With so many battery components made in China and South Korea, a lot of those potential labor hours are being captured by other countries,” he said. “So it's a question of the future American manufacturing workforce — how do we value them? How many opportunities do we want to extend to them?”
Another report published in 2021 by the Economic Policy Institute, a nonpartisan think tank, reached a similar conclusion. It found that the stakes for workers in the EV transition depend largely on public policy efforts to shore up U.S. manufacturing and enhance job quality. “The real challenge is making sure U.S.-based producers can invest enough to become competitive in battery production, and claw back some of the overall sales market share they lost since the Great Recession,” Josh Bivens, chief economist at the institute, told me in an email. “These are much bigger deals than anything about the inherent production process of EVs — and they’re very amenable to policy.”
Automakers have claimed that paying workers more would put them at a disadvantage and hinder their ability to invest in the EV transition. But in a recent blog post, the Economic Policy Institute argued that with the help of subsidies from President Biden’s signature climate law, the Inflation Reduction Act, automakers have “more than enough money” to invest in EVs, pay workers a fair share, and maintain healthy profits.
The IRA created a domestic manufacturing tax credit that subsidizes the production of battery cells to the tune of $35 per kilowatt-hour of capacity. It offers an additional $10 per kilowatt-hour tax credit for the domestic production of battery modules, or the process of assembling the cells into arrays that later get put into battery packs. And there’s another incentive for automakers to onshore battery production — it will help their vehicles qualify for the IRA’s consumer tax credit.
According to a database maintained by the advocacy group Climate Power, there have been about 10 EV battery manufacturing plant projects announced in the U.S. since the IRA was passed, at least some of which will produce cells.
So is the crux of the matter that EV job losses or gains all come down to batteries? Not necessarily.
Whether or not the U.S. is able to build up domestic battery production, early evidence of the EV transition in the United States shows that EVs may require more labor, even in the final assembly stages.
Anna Stefanopoulou, a professor of mechanical engineering at the University of Michigan, has been investigating three manufacturing sites that used to produce conventional cars and are now producing EVs: A Tesla factory in California that used to be a jointly-owned facility between GM and Toyota that produced Pontiacs and Corollas; a Rivian plant in Illinois that previously produced Mitsubishis; and the Orion Assembly plant in Michigan, where GM transitioned from producing Chevy Sonics and Buick Veranos to electric Chevy Bolts.
Her research has not been peer reviewed or published yet, but Stefanopoulou told me that after analyzing publicly available data sources for employment and output at each plant, she found that productivity had gone down in all three cases. Each one is producing fewer vehicles per worker than they were before, meaning it’s taking more people per vehicle to produce electric cars. The California site, which has been producing EVs for the longest out of the three, showed the most dramatic change. At its peak, the GM/Toyota plant produced 80 vehicles per person per year. The Tesla plant averages 30.
Stefanopoulou believes the data reflects the nascent state of U.S. electric vehicle manufacturing. She predicts that after a decade or so, as processes become more streamlined, the commonly-held belief that EV assembly requires less labor will turn out to be correct. However, she also said that if she were to consider battery cell production, as Cotterman did, EV production on the whole could require more people.
She also stressed that her data is not conclusive, and poses many more questions. For example, she found that overall production per worker in the U.S. is falling. So does the labor intensity at the EV plants reflect something specific about those factories, or a bigger issue in U.S. manufacturing productivity?
It’s also been hard for her team to identify what was actually being produced at each plant at any given time. For example, the previous owners of the California plant did not assemble engines there, but the Tesla factory is assembling battery packs. So that might explain why productivity is so much lower now. But there are a lot of unknowns. “Over the years, they changed their patterns,” she told me. “They take the cells and assemble the pack, or occasionally they manufacture cells. So we don’t know exactly what kind of work the plants include. We know the outputs are vehicles, but what does assembly include?”
In any case, Stefanopoulou is torn about what conclusion to draw from her findings on productivity. “Sometimes I don’t know if what I will present in my paper will be good news or bad news,” she told me. “Maybe it’s good news for our people that are involved, but at the end, you know, we need to be productive also, so that we can actually lower the costs so people can afford buying electric vehicles.”
What seems clear is that whether the transition results in more jobs or fewer depends a lot on which processes you’re including, how many of them will ultimately be done domestically, and how much will get streamlined through automation and other efficiency measures.
At the same time, topline job numbers aren’t the full story. The jobs created in the EV transition will certainly not all resemble the jobs that are lost. They may not be located in the same places, or require the same set of skills. Workers are right to be worried about upheaval.
But these are things that can be managed, if automakers are willing to come to the table with workers, and vice versa. For example, when Ford negotiated the closure of its Romeo Engine Plant at the end of last year, every employee was offered either a buyout or a transfer to another facility. Barbossa, the Ford spokesperson, told me many are now working about 20 minutes away, at the Van Dyke Electric Powertrain Center, building EV power units for the F-150 Lightning and hybrid powertrains for the Maverick and F-150.
I reached out to the United Autoworkers to get their thoughts on these studies, but the union did not respond to my questions. The UAW does appear to have a good handle on the stakes of battery manufacturing, however. Last week, Jim Farley of Ford provided an update on the negotiations, and said that “the UAW is holding the deal hostage over the battery plants.”
Farley vowed that none of its workers will lose their jobs due to battery plants during the next contract period. “In fact, for the foreseeable future we will have to hire more workers as some workers retire, in order to keep up with demand,” he said. “We are open to working with the union on a fair deal for battery plants, but these are multi-billion investments and they have to make business sense.”
Read more about electric vehicles and labor:
What the UAW Wants Exactly — and What It Means for Electric Cars
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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.
Current conditions: The southwest monsoon known as “hagabat” has started in the Philippines, dumping up to 4 inches of rain on the archipelago • A strong geomagnetic storm, ranked just two levels below the most powerful type of event of this kind, is underway, threatening radio signals, GPS, and other human instruments that are sensitive to shifts in the Earth’s magnetic fields • San Antonio, where the glorious New York Knicks defeated the Spurs last night, is bracing for rain through the weekend.
To put it in terms a movie lover could understand, President Donald Trump’s Iran War is drinking the U.S. government’s milkshake. Federal stocks of oil have dropped to their lowest level since 2004. Commercial crude stocks fell by 8 million barrels to 433.7 million last week, according to The Wall Street Journal. Unless the Strait of Hormuz reopens soon — which looks less likely now that Iran has called off negotiations with the U.S. and Israel — prices could hit $200 per barrel by summer, said Bob McNally, president of the Rapidan Energy Group consultancy and a former White House adviser. “You start to raise the risk of spillover into other sectors, the economy and financial system … it detonates fragilities in the broader economy and financial system,” he told the Financial Times.
Oklahoma Attorney General Gentner Drummond has filed a lawsuit to block construction of the United States’ first new aluminum smelter in half a century over concerns about the project’s ties to the United Arab Emirates and risks it poses to the state’s cattle industry. Century Aluminum had planned to build the smelter with $500 million from the Biden administration. But in January, as I told you at the time, the company overhauled the deal to partner instead with the Abu Dhabi-based Emirates Global Aluminum, which said it became interested in the project after Trump slapped 50% tariffs on the metal. The move comes after Trump endorsed Drummond’s opponent in this year’s Republican primary for Oklahoma governor.
In the 12-page litigation, the state’s top cop alleged that the smelter, planned for a site 30 miles east of Tulsa, would “leach air and water pollutants that would injure the health, comfort, repose, and safety of the people in the region,” Mining.com reported. “A primary aluminum smelter does not belong in a community’s backyard and its emissions do not respect property lines,” Drummond wrote in the lawsuit, which asks the court to block the project. His lawsuit also refers to the UAE, a close ally of the U.S. and by far the most liberal of the Gulf Arab kingdoms, as an “Islamic foreign monarchy.”
The Electric Reliability Council of Texas, the state’s grid operator, approved what E&E News called two “landmark sets of rules of rules” this week that would “shape the future of data centers in the state if finalized.” One package sets up new criteria and processes for bringing big electricity users onto the grid by reviewing them in batches. The other requires data centers and crypto mining operations to remain online during brief grid disruptions in a bid to avoid the cascading outages that downed the electrical system during 2021’s deadly Winter Storm Uri.
The changes come as opposition to data centers reaches critical new heights. Seven in 10 Americans now oppose server facilities built near their homes, according to a new Heatmap Pro released a poll this week that my colleague Robinson Meyer wrote up here. The backlash has grown so severe that former Representative Ben McAdams, a Republican from Utah, is facing serious pushback from his Democratic opponent for the state’s new 1st Congressional District over his small stake in the renewable energy component of a proposed data center in the area, according to the Salt Lake Tribune.
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Taiwan, if you’ll forgive the pun, is in dire straits. The self-governing republic that has functioned as an independent country since the losing side of the Chinese Civil War fled there in 1949, is almost entirely reliant on imported fossil fuels to keep the lights on and semiconductor fabricators churning out the hardware that makes the island so valuable to the global economy. That reliance only grew last year when the ruling Democratic Progressive Party, which has opposed atomic energy since its founding in the 1980s, completed the country’s nuclear phaseout, shutting the last of the island’s three functioning plants. The government in Taipei is now considering starting back up at least one of the old nuclear plants. But, as I told you earlier this year, it’s also looking to geothermal to make up the difference. On Wednesday, the Ministry of Economic Affairs announced the first government-led tender for geothermal, Think Geoenergy reported. The six-month process is meant to develop geothermal zones in Taitung County, on the island’s southeast coast.
The Iran War isn’t just draining America’s crude stockpiles. It’s also spiking gas prices — and spurring a hybrid boom. Sales of hybrid vehicles revved 33% in May compared to the same month last year, according to a Wall Street Journal analysis of Motor Intelligence data. “The hybrids have been a godsend,” Mark Politte, the dealer principal at Stanley Subaru in Ellsworth, Maine, told the newspaper. They are “hotter than the non-hybrids.” While new vehicle sales are down 4.4% overall this year through May, hybrid sales are up 17% compared with 2025.
Meanwhile, autonomous electric vehicle company Waymo announced a deal on Thursday to recycle batteries from its nearly 4,000 operating robotaxis into battery storage for electric grids in California and Texas. Waymo’s fleet is made up mostly of Jaguar I-Pace EVs, which have 90-kilowatt-hour batteries. “Put a little haircut on that in terms of degradation and the effective capacity that would be left in those batteries when they’re suitable for repurposing, and we’re still talking about pretty significant capacity per battery,” Freeman Hall, CEO of B2U Storage Solutions, Waymo’s partner in the project, told Ars Technica.

The U.S. may be depleting its oil stockpiles, but it has increased its storage capacity for natural gas in the future. Underground storage capacity in the Lower 48 states increased slightly in 2025, growing mostly in the South Central and Mountain West regions, according to new data from the Energy Information Administration. “Underground natural gas storage provides a source of energy when demand increases, balancing U.S. energy needs,” analyst Jose Villar wrote. “We calculate natural gas storage capacity in two ways: demonstrated peak capacity and working gas design capacity. Both increased in 2025.”
Notes from Heatmap’s second Energy Entrepreneurship Summit.
I’m writing from Washington, D.C., today, after having the privilege of watching (and moderating) Heatmap’s second Energy Entrepreneurship Summit this morning. We heard from folks leading in a variety of technologies — geothermal, batteries, fusion, conventional nuclear — but I was struck by a few common themes.
The first was the new wave of excitement about fusion energy and how, in some ways, the artificial intelligence boom has reinvigorated the fusion conversation. Much like fusion, AI was a long-prophesied technology that made steady, iterative improvements over time — and then, one day, delivered a transformative product in the form of ChatGPT. I’m not sure if fusion has yet had a raw technological improvement on par with the transformer, the neural network innovation that preceded today’s AI chatbots and agents, but fusion startups have reported significant improvements in recent years. The industry believes — as do some fusion-pilled policymakers — that they will have commercial reactors on the grid by the mid-2030s.
The second is the degree to which surging electricity demand is pushing forward clean energy across the board. Although many (but not all) hyperscalers prefer to buy clean energy, the raw demand for power is fueling confidence among energy developers and technologists of all stripes. It’s great to make a commodity whose price is rising. At some point, this link between AI and electricity may become turbulent for developers — but we’re not there yet.
The final note is the degree to which U.S.-China competition now dominates conversations around the energy industry and the economy more broadly. I can remember a time when it was somewhat peculiar to point out that some forms of energy prowess strengthened the country’s national security — and that if the U.S. did not work those muscles, then China would. There was little overlap between the clean energy and security conversations. Now, the rise of globally competitive Chinese “electrotech” firms such as BYD, Xiaomi, and CATL has almost united the two discourses.
There is a growing recognition, too, that America will have to reindustrialize to compete. Policymakers sometimes talk about how the U.S. should use its (for now) still strong R&D apparatus to develop “leapfrog” technologies that can surpass Chinese products. But as America has by now repeatedly discovered, simply inventing a new technology is not enough. Creating an export industry — not to mention a business — actually requires commercializing that technology and scaling it. And that will entail the rudiments of an advanced industrial economy: more hardware factories, a larger grid, more manufacturing and process engineers.
These concerns over basic competitiveness colored discussions of even the most advanced technologies. Jackie Siebens, a vice president at the fusion startup Helion, said she was worried that fusion is going to “follow a story we’ve seen before,” where the United States demonstrates fusion first, “but China scales much more broadly.” Representative Don Beyer, a Democrat from Virginia who champions fusion, brought up a more fundamental concern: China is graduating hundreds of nuclear PhD engineers every year, he said, while America is only graduating a few dozen.
If affordability makes up one half of our new energy era, then these questions around competitiveness might be the other half. We’ll explore them, I’m sure, in the future. For now, thanks, as always, for reading.