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:
Despite record sales, America’s most affordable EV gets the axe.

The hottest new car debut of 2023 probably isn’t anything you’ve ever heard of. Unless you live in China, it’s not even something you can buy. It’s the BYD Seagull, a compact electric car from a rising giant in the EV space. And with a range of up to 252 miles and a price tag of 78,000 yuan (only $11,300), it’s expected to become China’s best-selling car within months.
If you want anything even close to that in the United States, good luck. Your outlook got a little dimmer this week when General Motors announced the Chevrolet Bolt EV and its slightly larger sibling, the Bolt EUV, would be discontinued. The decision brings an end to a massively successful line of smaller, affordable, high-range EVs from America’s largest automaker.
Granted, the Bolt’s demise had been expected for at least a year. GM is in the midst of launching a new generation of EVs with modern hardware, software, and batteries as it aims to become an all-electric car company by 2035. And the Bolt was becoming inferior to newer cars with quicker charging times.
But what doesn’t seem to be in the cards right now is anything that will directly replace the Bolt: something small and inexpensive, as well as great on electric range.
“When the Chevrolet Bolt EV launched, it was a huge technical achievement and the first affordable EV, which set in motion GM’s all-electric future,” Chevrolet spokesman Cody Williams told CNBC in a statement. “Chevrolet will launch several new EVs later this year based on the Ultium platform in key segments, including the Silverado EV, Blazer EV, and Equinox EV. ”
The problem is that all of those vehicles are bigger and more expensive than the Bolt. GM is hinging a lot of its entry-level hopes on the Equinox EV, which should start around $30,000 before any tax incentives. But it dwarfs the compact Bolt, and further proves that America is a truck and SUV market now — and that reality will carry over into the electric era too.
Sales of small cars and sedans have been on the decline for years, thanks in part to cheap gas, changing buyer tastes, loopholes that allow larger vehicles to face less-strict fuel economy and emissions regulations, and the thirst for profit margins among car companies.
Nonetheless, it would be a mistake to think the Bolt and Bolt EUV were failures. Very much the opposite, and GM CEO Mary Barra wrote as much in a letter to shareholders about Q1 2023 results.
“In addition, we delivered more than 20,000 EVs, thanks to the third consecutive quarter of record Chevrolet Bolt EV and Bolt EUV deliveries and rising Cadillac Lyriq sales,” Barra wrote. “We are now no. 2 in the U.S. market, and we increased our EV market share by 8 percentage points.”
If you’re asking, “Why kill a car like that?,” know that it is not a crazy question. One possible answer is GM thinks it can do even better with the bigger Equinox EV, much as Tesla’s Model Y crossover is its global best-seller.
Yet it brings me no pleasure to write the eulogy for the Chevrolet Bolt. With 259 miles of electric range and a starting price of just $26,500 (and that’s before any tax incentives, which in recent months made it an almost hilarious steal), it has long been one the best cars in GM’s portfolio.
The Bolt arrived in late 2016, right as the world was only barely starting to take EVs seriously. At the same time, Tesla, which had proven its ability to make high-speed, high-end luxury cars like the Model S, was trying to become a mainstream volume-selling manufacturer with the Model 3 sedan.
For a good couple of years, the modern electric market in the U.S. was essentially just the Bolt, the Model 3, and the Nissan Leaf, another compact EV stalwart set to be discontinued so its parent company can focus on crossovers. The Bolt and the Model 3 were unlikely competitors by virtue of arriving around the same time, having the same mass-appeal mission and running on electricity. I always thought that comparison was a bit unfair; the Model 3 is a sport sedan at heart, and nobody seriously compares a BMW 3 Series to a Toyota Corolla.
The Bolt had a few other marks against it as the Model 3 increasingly took the spotlight. Admittedly, the Chevy’s tall hatchback design just wasn’t very sexy. It screamed “economy car” right as Tesla was successfully changing the golf-cart image that had dogged EVs for too long. And the front-wheel-drive Bolt simply couldn’t match the Model 3 in sheer driving dynamics. It had no “Performance” version with supercar-crushing 0-60 mph times.
But none of that takes away from how good the Bolt actually was. The range was incredible for its time and still quite respectable today. GM initially promised 200 miles of range, but the end result did even better at 238 miles. Over its life, the range was upgraded even further. And while it wasn’t the barnstormer the Model 3 was, it was surprisingly quick and fun to drive, almost on par with a hot hatchback like a Volkswagen GTI.
I remember being deeply impressed after spending a week with a Bolt in 2018 when I was editor-in-chief of the automotive website Jalopnik. (More so than some members of my staff, in fact, who thought the Bolt was ugly and that I was crazy for liking it.) EVs were much more novel five years ago than they are now, but here was something affordable, highly practical, and with enough range that it could easily fit many people’s lifestyles.
Tesla’s cars felt like spaceships; to me, the Bolt felt like proof that normal, everyday electric driving could be possible for anyone.
Certainly, its nearly eight-year run hasn’t been perfect. Bolt sales went up and down over the years (although it’s been shattering records lately thanks to the tax incentives) and it was repeatedly hit with recalls over devastating lithium-ion battery fires. Still, it had its best year ever in 2022, with nearly 40,000 sold. Sure, Tesla sells more EVs in a month in the U.S., but again, the intense demand for the Bolt lately proved there’s a place for all kinds of electric cars in our landscape.
Over its lifespan, the Bolt spawned the bigger EUV version and also became incredibly popular in municipal fleets and as delivery vehicles. How could it not? It was a near-perfect car for any city dweller looking to go green and not take up a lot of space. It’s hard to imagine the longer, taller Equinox EV filling those needs the same way.
So with the concept proven by the Bolt, what comes next? Unfortunately, the answer seems to be bigger EVs. Chevrolet itself makes very few actual cars anymore; the Bolt was one of the remaining few. Ford has stopped making cars and sedans entirely, and even the popular Mustang Mach-E is a crossover. Hyundai offers an impressive lineup of EVs, but so far only one in that family is a sedan, the Ioniq 6. And EVs in America still averaged around $60,000 at the end of last year, a far cry from the Bolt — to say nothing of BYD’s Seagull.
For critics who say that the forthcoming EV revolution will repeat many of the auto industry’s sins by putting pedestrians, cyclists, and even parking garages further at risk with massive curb weights, the death of the Bolt gives them plenty of ammunition.
On one hand, it makes sense that new technology needs to be expensive at first in order to scale; in my lifetime alone, that’s happened with everything from VHS tapes to smartphones. Automakers need hefty profit margins to pay for this EV transition. But our own buying habits, what we’ve been offered so far, and our terrible approach to regulation has made us addicted to big cars. All of it feels like a far cry from the humble, cheap, get-stuff-done Bolt.
If the Model 3 proved electric cars could be sexy and built at scale, the Bolt proved what traditional, legacy automakers could do if they actually took EVs seriously. It should be remembered as such, a game-changer in its own way. It’s just a shame that nothing seems poised to step up and take its place.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation. What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.