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Twenty-five years ago, computers were on the verge of destroying America’s energy system.
Or, at least, that’s what lots of smart people seemed to think.
In a 1999 Forbes article, a pair of conservative lawyers, Peter Huber and Mark Mills, warned that personal computers and the internet were about to overwhelm the fragile U.S. grid.
Information technology already devoured 8% to 13% of total U.S. power demand, Huber and Mills claimed, and that share would only rise over time. “It’s now reasonable to project,” they wrote, “that half of the electric grid will be powering the digital-Internet economy within the next decade.” (Emphasis mine.)
Over the next 18 months, investment banks including JP Morgan and Credit Suisse repeated the Forbes estimate of internet-driven power demand, advising their customers to pile into utilities and other electricity-adjacent stocks. Although it was unrelated, California’s simultaneous blackout crisis deepened the sense of panic. For a moment, experts were convinced: Data centers and computers would drain the country’s energy resources.
They could not have been more wrong. In fact, Huber and Mills had drastically mismeasured the amount of electricity used by PCs and the internet. Computing ate up perhaps 3% of total U.S. electricity in 1999, not the roughly 10% they had claimed. And instead of staring down a period of explosive growth, the U.S. electric grid was in reality facing a long stagnation. Over the next two decades, America’s electricity demand did not grow rapidly — or even, really, at all. Instead, it flatlined for the first time since World War II. The 2000s and 2010s were the first decades without “load growth,” the utility industry’s jargon for rising power demand, since perhaps the discovery of electricity itself.
Now that lull is ending — and a new wave of tech-driven concerns has overtaken the electricity industry. According to its supporters and critics alike, generative artificial intelligence like ChatGPT is about to devour huge amounts of electricity, enough to threaten the grid itself. “We still don’t appreciate the energy needs of this technology,” Sam Altman, the CEO of OpenAI, has said, arguing that the world needs a clean energy breakthrough to meet AI’s voracious energy needs. (He is investing in nuclear fusion and fission companies to meet this demand.) The Washington Post captured the zeitgeist with a recent story: America, it said, “is running out of power.”
But … is it actually? There is no question that America’s electricity demand is rising once again and that load growth, long in abeyance, has finally returned to the grid: The boom in new factories and the ongoing adoption of electric vehicles will see to that. And you shouldn’t bet against the continued growth of data centers, which have increased in size and number since the 1990s. But there is surprisingly little evidence that AI, specifically, is driving surging electricity demand. And there are big risks — for utility customers and for the planet — by treating AI-driven electricity demand as an emergency.
There is, to be clear, no shortage of predictions that AI will cause electricity demand to rise. According to a recent Reuters report, nine of the country’s 10 largest utilities are now citing the “surge” in power demand from data centers when arguing to regulators that they should build more power. Morgan Stanley projects that power use from data centers “is expected to triple globally this year,” according to the same report. The International Energy Agency more modestly — but still shockingly — suggests that electricity use from data centers, AI, and cryptocurrency could double by 2026.
These concerns have also come from environmentalists. A recent report from the Climate Action Against Disinformation Commission, a left-wing alliance of groups including Friends of the Earth and Greenpeace, warned that AI will require “massive amounts of energy and water” and called for aggressive regulation.
That report focused on the risks of an AI-addled social media public sphere, which progressives fear will be filled with climate-change-denying propaganda by AI-powered bots. But in an interview, Michael Khoo, an author of the report and a researcher at Friends of the Earth, told me that studying AI made him much more frightened about its energy use.
AI is such an power-suck that it “is causing America to run out of energy,” Khoo said. “I think that’s going to be much more disruptive than the disinformation conversation in the mid-term.” He sketched a scenario where Altman and Mark Zuckerberg can outbid ordinary households for electrons as AI proliferates across the economy. “I can see people going without power,” he said, “and there being massive social unrest.”
These predictions aren’t happening in a vacuum. At the same time that investment bankers and environmentalists have fretted over a potential electricity shortage, utilities across the South have proposed a de facto solution: a massive buildout of new natural-gas power plants.
Citing the return of load growth, utilities across the South are trying to go around normal regulatory channels and build a slew of new natural-gas-burning power plants. Across at least six states, utilities have already won — or are trying to win — permission from local governments to fast-track more than 10,000 megawatts of new gas-fired power plants so that they can meet the surge in demand.
These requests have popped up across the region, pushed by vertically integrated monopoly power companies. Georgia Power won a tentative agreement to build 1,400 new megawatts of gas capacity, Canary reported. In the Carolinas, Duke Energy has asked to build 9,000 megawatts of new gas capacity, triple what it previously requested. The Tennessee Valley Authority has plans to add 6,600 megawatts of new capacity to its grid.
This buildout is big enough to endanger the country’s climate targets. Although these utilities are also building new renewable and battery farms, and shutting down coal plants, the planned surge in carbon emissions from natural gas plants would erase the reductions from those changes, according to a Southern Environmental Law Center analysis. Duke Energy has already said that it will not meet its 2030 climate goal in order to conduct the gas expansion.
In the popular press, AI’s voracious energy demand is sometimes said to be a major driver of this planned gas boom. But evidence for that proposition is slim, and the utilities have said only that data center expansion is one of several reasons for the boom. The Southeast’s population is growing, and the region is experiencing a manufacturing renaissance, due in part to the new car, battery, and solar panel factories subsidized by Biden’s climate law. Utilities in the South also face a particular challenge coping with the coldest winter mornings because so many homes and offices use inefficient and power-hungry space heaters.
Indeed, it’s hard to talk about the drivers of load growth with any specificity — and it’s hard to know whether load growth will actually happen in all corners of the South.
Utilities compete against each other to secure big-name customers — much like local governments compete with sweetheart tax deals — so when a utility asks regulators to build more capacity, it doesn’t reveal where potentialpower demand is coming from. (In other words, it doesn’t reveal who it believes will eventually buy that power.) A company might float plans to build the same data center or factory in multiple states to shop around for the best rates, which means the same underlying gigawatts of demand may be appearing in several different utilities’ resource plans at the same time. In other words, utilities are unlikely to actually see all of the demand they’re now projecting.
Even if we did know exactly how many gigawatts of new demand each utility would see, it’s almost impossible to say how much of it is coming from AI. Utilities don’t say how much of their future projected power demand will come from planned factories versus data centers. Nor do they say what each data center does and whether it trains AI (or mines Bitcoin, which remains a far bigger energy suck).
The risk of focusing on AI, specifically, as a driver of load growth is that because it’s a hot new technology — one with national security implications, no less — it can rhetorically justify expensive emergency action that is actually not necessary at all. Utilities may very well need to build more power capacity in the years to come. But does that need constitute an emergency? Does it justify seeking special permission from their statehouses or regulators to build more gas, instead of going through the regular planning process? Is it worth accelerating approvals for new gas plants? Probably not. The real danger, in other words, is not that we’ll run out of power. It’s that we’ll build too much of the wrong kind.
At the same time, we might have been led astray by overly dire predictions of AI’s energy use. Jonathan Koomey, a researcher who studies how the internet and data centers use energy (and the namesake of Koomey’s Law) told me that many estimates of Nvidia’s most important AI chips assume that their energy use is the same as their advertised “rated” power. In reality, Nvidia chips probably use half of that amount, he said, because chipmakers engineer their chips to withstand more electricity than is necessary for safety reasons.
And this is just the current generation of chips: Nvidia’s next generation of AI-training chips, called “Blackwell,” use 25 times less energy to do the same amount of computation as the previous generation of chips.
Koomey helped defuse the last panic over energy use by showing that the estimates Huber and Mills relied on were wildly incorrect. Estimates now suggest that the internet used less than 1% of total U.S. electricity by the late 1990s, not 13% as they claimed. Those percentages stayedroughly the same through 2008, he later found, even as data centers grew and computers proliferated across the economy. That’s the same year, remember, that Huber and Mills predicted that the internet would consume half of American energy.
These bad predictions were extremely convenient. Mills was a scientific advisor to the Greening Earth Society, a fossil-fuel-industry-funded group that alleged carbon dioxide pollution would actually improve the global environment. He aimed to show that climate and environmental policy would conflict with the continued growth of the internet.
“Many electricity policy proposals are on a collision course with demand forces,” Mills said in a Greening Earth press release at the time. “While many environmentalists want to substantially reduce coal use in making electricity, there is no chance of meeting future economically-driven and Internet-accelerated electric demand without retaining and expanding the coal component.” Hence the headline of the Forbes piece: “The PCs are coming — Dig more coal.”
What makes today’s AI-induced fear frenzy different from 1999 is that the alarmed projections are not just coming from businesses and banks like Morgan Stanley, but from environmentalists like Friends of the Earth. Yet neither their estimates of near-term, AI-driven power shortages — nor the analysis from Morgan Stanley that U.S. data-center use could soon triple within a year — make sense given what we know about data centers, Koomey said. It is not logistically possible to triple data centers’ electricity use in one year. “There just aren’t enough people to build data centers, and it takes longer than a year to build a new data center anyway,” he said. “There aren’t enough generators, there aren’t enough transformers — the backlog for some equipment is 24 months. It’s a supply chain constraint.”
Look around and you might notice that we have many more servers and computers today than we did in 1999 — not to mention smartphones and tablets, which didn’t even exist then — and yet computing doesn’t devour half of American energy. It doesn’t even get close. Today, computers use 1% to 4% of total U.S. power demand, depending on which estimate you trust. That’s about the same share of total U.S. electricity demand that they used in the late 1990s and mid-2000s.
It may well be that AI devours more energy in years to come, but utilities probably do not need to deal with it by building more gas. They could install more batteries, build new power lines, or even pay some customers to reduce their electricity usage during certain peak events, such as cold winter storms.
There are some places where AI-driven energy demand could be a problem — Koomey cited Ireland and Loudon County, Virginia, as two epicenters. But even there, building more natural gas is not the sole way to cope with load growth.
“The problem with this debate is everybody is kind of right,” Daniel Tait, who researches Southern utilities for the Energy and Policy Institute, a consumer watchdog, told me. “Yes, AI will increase load a little bit, but probably not as much as you think. Yes, load is growing, but maybe not as much as you say. Yes, we do need to build stuff, but maybe not the stuff that you want.”
There are real risks if AI’s energy demands get overstated and utilities go on a gas-driven bender. The first is for the planet: Utilities might overbuild gas plants now, run them even though they’re non-economic, and blow through their climate goals.
“Utilities — especially the vertically integrated monopoles in the South — have every incentive to overstate load growth, and they have a pattern of having done that consistently,” Gudrun Thompson, a senior attorney at the Southern Environmental Law Center, told me. In 2017, the Rocky Mountain Institute, an energy think tank, found in 2017 that utilities systematically overestimated their peak demand when compiling forecasts. This makes sense: Utilities would rather build too much capacity than wind up with too little, especially when they can pass along the associated costs to rate-payers.
But the second risk is that utilities could burn through the public’s willingness to pay for grid upgrades. Over the next few years, utilities should make dozens of updates to their systems. They have to build new renewables, new batteries, and new clean 24/7 power, such as nuclear or geothermal. They will have to link their grids to their neighbors’ by building new transmission lines. All of that will be expensive, and it could require the kind of investment that raises electricity rates. But the public and politicians can accept only so many rate hikes before they rebel, and there’s a risk that utilities spend through that fuzzy budget on unnecessary and wasteful projects now, not on the projects that they’ll need in the future.
There is no question that AI will use more electricity in the years to come. But so will EVs, new factories, and other sources of demand. America is on track to use more electricity. If that becomes a crisis, it will be one of our own making.
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Businesses were already bracing for a crash. Then came another 50% tariff on Chinese goods.
When I wrote Heatmap’s guide to driving less last year, I didn’t anticipate that a good motivation for doing so would be that every car in America was about to get a lot more expensive.
Then again, no one saw the breadth and depth of the Trump administration’s tariffs coming. “We would characterize this slate of tariffs as ‘worse than the worst case scenario,’” one group of veteran securities analysts wrote in a note to investors last week, a sentiment echoed across Wall Street and reflected in four days of stock market turmoil so far.
But if the economic downturn has renewed your interest in purchasing a bike or e-bike, you’ll want to act fast — and it may already be too late. Because Trump’s “Liberation Day” tariffs stack on top of his other tariffs and duties, the U.S. bicycle trade association PeopleForBikes calculated that beginning on April 9, the day the newest tariffs come into effect, the duty on e-bikes from China would be 79%, up from nothing at all under President Biden. The tariff on most non-electric bikes from China, meanwhile, would spike to 90%, up from 11% on January 1 of this year. Then on Tuesday, the White House announced that it would add another 50% tariff on China on top of that whole tariff stack, starting Wednesday, in retaliation for Beijing’s counter-tariffs.
Prior to the latest announcement, Jay Townley, a founding partner of the cycling industry consulting firm Human Powered Solutions, had told me that if the Trump administration actually followed through on a retaliatory 50% tariff on top of those duties, then “we’re out of business because nobody can afford to bring in a bicycle product at 100% or more in tariffs.”
It’s difficult to overstate how existential the tariffs are for the bicycle industry. Imports account for 97% of the bikes purchased in the United States, of which 87% come from China, making it “one of the most import-dependent and China-dependent industries in the U.S.,” according to a 2021 analysis by the Coalition for a Prosperous America, which advocates for trade-protectionist policies.
Many U.S. cycling brands have grumbled for years about America’s relatively generous de minimis exemption, a policy of waiving duties on items valued at less than $800. The loophole — which is what enables shoppers to buy dirt-cheap clothes from brands like Temu, Shein, and Alibaba — has also allowed for uncertified helmets and non-compliant e-bikes and e-bike batteries to flood the U.S. market. These batteries, which are often falsely marketed as meeting international safety standards, have been responsible for deadly e-bike fires in places like New York City. “A going retail for a good lithium-ion replacement battery for an e-bike is $800 to $1,000,” Townley said. “You look online, and you’ll see batteries at $350, $400, that come direct to you from China under the de minimis exemption.”
Cyclingnews reported recently that Robert Margevicius, the executive vice president of the American bicycle giant Specialized, had filed a complaint with the Trump administration over losing “billions in collectable tariffs” through the loophole. A spokesperson for Specialized defended Margevicius’ comment by calling it an “industry-wide position that is aligned with PeopleForBikes.” (Specialized did not respond to a request for clarification from Heatmap, though a spokesperson told Cyclingnews that de minimis imports permit “unsafe products and intellectual property violation.” PeopleForBikes’ general and policy counsel Matt Moore told me in an email that “we have supported reforming the way the U.S. treats low-value de minimis imports for several years.”)
Trump indeed axed China’s de minimis exemption as part of his April 2 tariffs — a small win for the U.S. bicycle brands. But any protection afforded by duties on cheap imported bikes and e-bikes will be erased by the damage from high tariffs imposed on China and other Asian countries. Fewer than 500,000 bicycles in a 10 million-unit market are even assembled in the United States, and essentially none is entirely manufactured here. “We do not know how to make a bike,” Townley told me flatly. Though a number of major U.S. brands employ engineers to design their bikes, when it comes to home-shoring manufacturing, “all of that knowledge resides in Taiwan, China, Vietnam. It isn’t here.”
In recent years, Chinese factories had become “very proficient at shipping goods from third-party countries” in order to avoid European anti-dumping duties, as well as leftover tariffs from Trump’s first term, Rick Vosper, an industry veteran and columnist at Bicycle Retailer and Industry News, told me. “Many Chinese companies built bicycle assembly plants in Vietnam specifically so the sourcing sticker would not say ‘made in China,’” he added. Of course, those bikes and component parts are now also subject to Trump’s tariffs, which are as high as 57% for Vietnam, 60% for Cambodia, and 43% for Taiwan for most bikes. (A potential added tariff on countries that import oil from Venezuela could bump them even higher.)
The tariffs could not come at a worse time for the industry. 2019 marked one of the slowest years for the U.S. specialty retail bike business in two decades, so when COVID hit — and suddenly everyone wanted a bicycle as a way of exercising and getting around — there was “no inventory to be had, but a huge influx of customers,” Vosper told me. In response, “major players put in huge increases in their orders.”
But by 2023, the COVID-induced demand had evaporated, leaving suppliers with hundreds of millions of dollars in inventory that they couldn’t move. Even by discounting wholesale prices below their own cost to make the product and offering buy-one-get-one deals, dealers couldn’t get the bikes off their hands. “All the people who wanted to buy a bike during COVID have bought a bike and are not ready to buy another one anytime soon,” Vosper said.
Going into 2025, many retailers were still dealing with the COVID-induced bicycle glut; Mike Blok, the founder of Brooklyn Carbon Bike Company in New York City, told me he could think of three or four tristate-area shops off the top of his head that have closed in recent months because they were sitting on inventory.
Blok, however, was cautiously optimistic about his own position. While he stressed that he isn’t a fan of the tariffs, he also largely sells pre-owned bikes. On the low end of the market, the tariffs will likely raise prices no more than about $15 or $20, which might not make much of a difference to consumer behavior. But for something like a higher-end carbon fiber bike, which can run $2,700 or higher and is almost entirely produced in Taiwan, the tariffs could mean an increase of hundreds of dollars for customers. “I think what that will mean for me is that more folks will be open to the pre-owned option,” Blok said, although he also anticipates his input costs for repairs and tuning will go up.
But there’s a bigger, and perhaps even more obvious, problem for bike retailers beyond their products becoming more expensive. “What I sell is not a staple good; people don’t need a bike,” Blok reminded me. “So as folks’ discretionary income diminishes because other things become more expensive, they’ll have less to spend on discretionary items.”
Townley, the industry consultant, confirmed that many major cycling brands had already seen the writing on the wall before Trump announced his tariffs and begun to pivot to re-sale. Bicycling Magazine, a hobbyist publication, is even promoting “buying used” as one of its “tips to help you save” under Trump’s tariffs. Savvy retailers might be able to pivot and rely on their service, customer loyalty, and re-sale businesses to stay afloat during the hard days ahead; Moore of PeopleForBikes also noted that “repair services may increase” as people look to fix what they already have.
And if you don’t have a bike or e-bike but were thinking about getting one as a way to lighten your car dependency, decarbonize your life, or just because they’re cool, “there are still good values to be found,” Moore went on. “Now is a great time to avoid a likely increase in prices.” Townley anticipated that depending on inventory, we’re likely 30 to 40 days away from seeing prices go up.
In the meantime, cycling organizations are scrambling to keep their members abreast of the coming changes. “PeopleForBikes is encouraging our members to contact their elected representatives about the very real impacts these tariffs will have on their companies and our industry,” Moore told me. The National Bicycle Dealers Association, a nonprofit supporting specialty bicycle retailers, has teamed up with the D.C.-based League of American Bicyclists, a ridership organization, to explore lobbying lawmakers for the first time in decades in the hopes that some might oppose the tariffs or explore carve-outs for the industry.
But Townley, whose firm Human Powered Solutions is assisting in NBDA’s effort, shared a grim conversation he had at a recent trade show in Las Vegas, where a new board member at a cycling organization had asked him “what can we do” about Trump’s tariffs.
“I said, ‘You’re out of time,” Townley recalled. “There isn’t much that can be done. All we can do is react.”
Any household savings will barely make a dent in the added costs from Trump’s many tariffs.
Donald Trump’s tariffs — the “fentanyl” levies on Canada, China, and Mexico, the “reciprocal” tariffs on nearly every country (and some uninhabited islands), and the global 10% tariff — will almost certainly cause consumer goods on average to get more expensive. The Yale Budget Lab estimates that in combination, the tariffs Trump has announced so far in his second term will cause prices to rise 2.3%, reducing purchasing power by $3,800 per year per household.
But there’s one very important consumer good that seems due to decline in price.
Trump administration officials — including the president himself — have touted cheaper oil to suggest that the economic response to the tariffs hasn’t been all bad. On Sunday, Secretary of the Treasury Scott Bessent told NBC, “Oil prices went down almost 15% in two days, which impacts working Americans much more than the stock market does.”
Trump picked up this line on Truth Social Monday morning. “Oil prices are down, interest rates are down (the slow moving Fed should cut rates!), food prices are down, there is NO INFLATION,” he wrote. He then spent the day posting quotes from Fox Business commentators echoing that idea, first Maria Bartiromo (“Rates are plummeting, oil prices are plummeting, deregulation is happening. President Trump is not going to bend”) then Charles Payne (“What we’re not talking about is, oil was $76, now it’s $65. Gasoline prices are going to plummet”).
But according to Neil Dutta, head of economic research at Renaissance Macro Research, pointing to falling oil prices as a stimulus is just another example of the “4D chess” theory, under which some market participants attribute motives to Trump’s trade policy beyond his stated goal of reducing trade deficits to as near zero (or surplus!) as possible.
Instead, oil markets are primarily “responding to the recession risk that comes from the tariff and the trade war,” Dutta told me. “That is the main story.” In short, oil markets see less global trade and less global production, and therefore falling demand for oil. The effect on household consumption, he said, was a “second order effect.”
It is true that falling oil prices will help “stabilize consumption,” Dutta told me (although they could also devastate America’s own oil industry). “It helps. It’ll provide some lift to real income growth for consumers, because they’re not spending as much on gasoline.” But “to fully offset the trade war effects, you basically need to get oil down to zero.”
That’s confirmed by some simple and extremely back of the envelope math. In 2023, households on average consumed about 700 gallons of gasoline per year, based on Energy Information Administration calculations that the average gasoline price in 2023 was $3.52, while the Bureau of Labor Statistics put average household gasoline expenditures at about $2,450.
Let’s generously assume that due to the tariffs and Trump’s regulatory and diplomatic efforts, gas prices drop from the $3.26 they were at on Monday, according to AAA, to $2.60, the average price in 2019. (GasBuddy petroleum analyst Patrick De Haanwrote Monday that the tariffs combined with OPEC+ production hikes could lead gas prices “to fall below $3 per gallon.”)
Let’s also assume that this drop in gas prices does not cause people to drive more or buy less fuel-efficient vehicles. In that case, those same 700 gallons cost the average American $1,820, which would generate annual savings of $630 on average per household. If we went to the lowest price since the Russian invasion of Ukraine, about $3 per gallon, total consumption of 700 gallons would cost a household about $2,100, saving $350 per household per year.
That being said, $1,820 is a pretty low level for annual gasoline consumption. In 2021, as the economy was recovering from the Covid recession and before gas prices popped, annual gasoline expenditures only got as low as $1,948; in 2020 — when oil prices dropped to literally negative dollars per barrel and gas prices got down to $1.85 a gallon — annual expenditures were just over $1,500.
In any case, if you remember the opening paragraphs of this story, even the most generous estimated savings would go nowhere near surmounting the overall rise in prices forecast by the Yale Budget Lab. $630 is less than $3,800! (JPMorgan has forecast a more mild increase in prices of 1% to 1.5%, but agrees that prices will likely rise and purchasing power will decline.)
But maybe look at it this way: You might be able to drive a little more than you expected to, even as your costs elsewhere are going up. Just please be careful! You don’t want to get into a bad accident and have to replace your car: New car prices are expected to rise by several thousand dollars due to Trump’s tariffs.
With cars about to get more expensive, it might be time to start tinkering.
More than a decade ago, when I was a young editor at Popular Mechanics, we got a Nissan Leaf. It was a big deal. The magazine had always kept long-term test cars to give readers a full report of how they drove over weeks and months. A true test of the first true production electric vehicle from a major car company felt like a watershed moment: The future was finally beginning. They even installed a destination charger in the basement of the Hearst Corporation’s Manhattan skyscraper.
That Leaf was a bit of a lump, aesthetically and mechanically. It looked like a potato, got about 100 miles of range, and delivered only 110 horsepower or so via its electric motors. This made the O.G. Leaf a scapegoat for Top Gear-style car enthusiasts eager to slander EVs as low-testosterone automobiles of the meek, forced upon an unwilling population of drivers. Once the rise of Tesla in the 2010s had smashed that paradigm and led lots of people to see electric vehicles as sexy and powerful, the original Leaf faded from the public imagination, a relic of the earliest days of the new EV revolution.
Yet lots of those cars are still around. I see a few prowling my workplace parking garage or roaming the streets of Los Angeles. With the faded performance of their old batteries, these long-running EVs aren’t good for much but short-distance city driving. Ignore the outdated battery pack for a second, though, and what surrounds that unit is a perfectly serviceable EV.
That’s exactly what a new brand of EV restorers see. Last week, car site The Autopiancovered DIYers who are scooping up cheap old Leafs, some costing as little as $3,000, and swapping in affordable Chinese-made 62 kilowatt-hour battery units in place of the original 24 kilowatt-hour units to instantly boost the car’s range to about 250 miles. One restorer bought a new battery on the Chinese site Alibaba for $6,000 ($4,500, plus $1,500 to ship that beast across the sea).
The possibility of the (relatively) simple battery swap is a longtime EV owner’s daydream. In the earlier days of the electrification race, many manufacturers and drivers saw simple and quick battery exchange as the solution for EV road-tripping. Instead of waiting half an hour for a battery to recharge, you’d swap your depleted unit for a fully charged one and be on your way. Even Tesla tested this approach last decade before settling for good on the Supercharger network of fast-charging stations.
There are still companies experimenting with battery swaps, but this technology lost. Other EV startups and legacy car companies that followed Nissan and Tesla into making production EVs embraced the rechargeable lithium-ion battery that is meant to be refilled at a fast-charging station and is not designed to be easily removed from the vehicle. Buy an electric vehicle and you’re buying a big battery with a long warranty but no clear plan for replacement. The companies imagine their EVs as something like a smartphone: It’s far from impossible to replace the battery and give the car a new life, but most people won’t bother and will simply move on to a new car when they can’t take the limitations of their old one anymore.
I think about this impasse a lot. My 2019 Tesla Model 3 began its life with a nominal 240 miles of range. Now that the vehicle has nearly six years and 70,000 miles on it, its maximum range is down to just 200, while its functional range at highway speed is much less than that. I don’t want to sink money into another vehicle, which means living with an EV’s range that diminishes as the years go by.
But what if, one day, I replaced its battery? Even if it costs thousands of dollars to achieve, a big range boost via a new battery would make an older EV feel new again, and at a cost that’s still far less than financing a whole new car. The thought is even more compelling in the age of Trump-imposed tariffs that will raise already-expensive new vehicles to a place that’s simply out of reach for many people (though new battery units will be heavily tariffed, too).
This is no simple weekend task. Car enthusiasts have been swapping parts and modifying gas-burning vehicles since the dawn of the automotive age, but modern EVs aren’t exactly made with the garage mechanic in mind. Because so few EVs are on the road, there is a dearth of qualified mechanics and not a huge population of people with the savvy to conduct major surgery on an electric car without electrocuting themselves. A battery-replacing owner would need to acquire not only the correct pack but also potentially adapters and other equipment necessary to make the new battery play nice with the older car. Some Nissan Leaf modifiers are finding their replacement packs aren’t exactly the same size, shape or weight, The Autopian says, meaning they need things like spacers to make the battery sit in just the right place.
A new battery isn’t a fix-all either. The motors and other electrical components wear down and will need to be replaced eventually, too. A man in Norway who drove his Tesla more than a million miles has replaced at least four battery packs and 14 motors, turning his EV into a sort of car of Theseus.
Crucially, though, EVs are much simpler, mechanically, than combustion-powered cars, what with the latter’s belts and spark plugs and thousands of moving parts. The car that surrounds a depleted battery pack might be in perfectly good shape to keep on running for thousands of miles to come if the owner were to install a new unit, one that could potentially give the EV more driving range than it had when it was new.
The battery swap is still the domain of serious top-tier DIYers, and not for the mildly interested or faint of heart. But it is a sign of things to come. A market for very affordable used Teslas is booming as owners ditch their cars at any cost to distance themselves from Elon Musk. Old Leafs, Chevy Bolts and other EVs from the 2010s can be had for cheap. The generation of early vehicles that came with an unacceptably low 100 to 150 miles of range would look a lot more enticing if you imagine today’s battery packs swapped into them. The possibility of a like-new old EV will look more and more promising, especially as millions of Americans realize they can no longer afford a new car.