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:
The Chinese carmaker says it can charge EVs in 5 minutes. Can America ever catch up?

The Chinese automaker BYD might have cracked one of the toughest problems in electric cars.
On Tuesday, BYD unveiled its new “Super e-Platform,” a new standard electronic base for its vehicles that it says will allow incredibly fast charging — enabling its vehicles to add as much as 249 miles of range in just five minutes. That’s made possible because of a 1,000-volt architecture and what BYD describes as matching charging capability, which could theoretically add nearly one mile of range every second.
It’s still not entirely clear whether the technology actually works, although BYD has a good track record on that front. But it suggests that the highest-end EVs worldwide could soon add range as fast as gasoline-powered cars can now, eliminating one of the biggest obstacles to EV adoption.
The new charging platform won’t work everywhere. BYD says that it will also build 4,000 chargers across China that will be able to take advantage of these maximum speeds. If this pans out, then BYD will be able to charge its newest vehicles twice as fast as Tesla’s next generation of superchargers can.
“This is a good thing,” Jeremy Wallace, a Chinese studies professor at Johns Hopkins University, told me. “Yes, it’s a Chinese company. And there are geopolitical implications to that. But the better the technology gets, the easier it is to decarbonize.”
“As someone who has waited in line for chargers in Pennsylvania and New Jersey, I look forward to the day when charging doesn’t take that long,” he added.
The announcement also suggests that the Chinese EV sector remains as dynamic as ever and continues to set the global standard for EV innovation — and that American and European carmakers are still struggling to catch up. The Trump administration is doing little to help the industry catch up: It has proposed repealing the Inflation Reduction Act’s tax credits for EV buyers, which provide demand-side support for the fledgling industry, and the Environmental Protection Agency is working to roll back tailpipe-pollution rules that have furnished early profits to EV makers, including Tesla. Against that background, what — if anything — can U.S. companies do to catch up?
The situation isn’t totally hopeless, but it’s not great.
BYD’s mega-charging capability is made possible by two underlying innovations. First, BYD’s new platform — the wiring, battery, and motors that make up the electronic guts of the car — will be capable of channeling up to 1,000 volts. That is only a small step-change above the best platforms available elsewhere— the forthcoming Gravity SUV from the American carmaker Lucid is built on a 926-volt platform, while the Cybertruck’s platform is 800 volts — but BYD will be able to leverage its technological firepower with mass manufacturing capacity unrivaled by any other brand.
Second, BYD’s forthcoming chargers will be capable of using the platform’s full voltage. These chargers may need to be built close to power grid infrastructure because of the amount of electricity that they will demand.
But sitting underneath these innovations is a sprawling technological ecosystem that keeps all Chinese electronics companies ahead — and that guarantees Chinese advantages well into the future.
“China’s decisive advantage over the U.S. when it comes to innovation is that it has an entrenched workforce that is able to continuously iterate on technological advances,” Dan Wang, a researcher of China’s technology industry and a fellow at the Paul Tsai China Center at Yale Law School, told me.
The country is able to innovate so relentlessly because of its abundance of process knowledge, Wang said. This community of engineering practice may have been seeded by Apple’s iPhone-manufacturing effort in the aughts and Tesla’s carmaking prowess in the 2010s, but it has now taken on a life of its own.
“Shenzhen is the center of the world’s hardware manufacturing industry because it has workers rubbing shoulders with academics rubbing shoulders with investors rubbing shoulders with engineers,” Wang told me. “And you have a more hustle-type culture because it’s so much harder to maintain technological moats and technological differentiation, because people are so competitive in these sorts of spaces.”
In a way, Shenzhen is the modern-day version of the hardware and software ecosystem that used to exist in northern California — Silicon Valley. But while the California technology industry now largely focuses on software, China has taken over the hardware side.
That allows the country to debut new technological innovations much faster than any other country can, he added. “The comparison I hear is that if you have a new charging platform or a new battery chemistry, Volkswagen and BMW will say, We’ll hustle to put this into our systems, and we’ll put it in five years from now. Tesla might say, we’ll hustle and get it in a year from now.”
“China can say, we’ll put it in three months from now,” he said.“You have a much more focused concentration of talent in China, which collapses coordination time.”
That culture has allowed the same companies and engineers to rapidly advance in manufacturing skill and complexity. It has helped CATL, which originally made batteries for smartphones, to become one of the world’s top EV battery makers. And it has helped BYD — which is close to unseating Tesla as the world’s No. 1 seller of electric vehicles — move from making lackluster gasoline cars to some of the world’s best and cheapest EVs.
It will be a while until America can duplicate that manufacturing capability, partly because of the number of headwinds it faces, Wang said.
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.