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Two U.S.-based companies are betting on lithium-sulfur to compete with China.

By the time the Swedish battery giant Northvolt declared bankruptcy last month, a well-funded U.S. startup, Lyten, had already swooped in to snatch up the company’s previously shuttered Bay Area factory. With China flooding the market with its cheap lithium-ion tech, Lyten is betting that creating a fully domestic battery supply chain will require alternate chemistries — like, say, lithium-sulfur, Lyten’s recipe of choice.
Lithium-sulfur has long been a promising contender, as in theory, these batteries can have a much higher energy density — the amount of energy that can be stored in a given space — than traditional lithium-ion. They also rely primarily on cheap, abundant, and easy to access materials. “We don’t use nickel, we don’t use manganese, we don’t use cobalt, we don’t use graphite,” Keith Norman, Lyten’s chief sustainability officer, told me — all markets where China plays a leading role. Scaling up standard lithium-ion battery production to meet forecasted global demand would require opening nearly 400 new mines by 2035, according to Benchmark Mineral Intelligence. “We believe if you could snap your fingers and change that to lithium-sulfur, that mining requirement will be reduced somewhere between 80% and 90%,” Norman said.
Lyten’s customers, Norman said, want these batteries as soon as possible, and acquiring Northvolt’s old 200-megawatt plant will allow the company to begin commercial production there next year. Lyten also recently announced plans for a Reno-based gigafactory, which is scheduled to come online in 2027. Zeta Energy, a Houston-based lithium-sulfur startup, also aims to commercialize in 2025, and is set to announce the opening of its 100-megawatt plant in the coming weeks.
While both companies have dreams of enabling more efficient, lightweight, and cost-effective electric vehicles and energy storage systems, there are reasons why lithium-sulfur has yet to be commercialized.
For one, sulfur is generally a poor conductor of lithium ions, and therefore requires extra conductive material to compensate, increasing the battery’s weight. Lithium-sulfur batteries also have notoriously short cycle lives due to the “polysulfide shuttle effect,” which causes the sulfur in the cathode to dissolve in the liquid electrolyte, damaging the anode and — you guessed it — decreasing the battery’s capacity and cycle life.
“It could be solved,” Arumugam Manthiram, an engineering professor and battery researcher at the University of Texas at Austin, told me. After being involved in the initial lithium-ion battery breakthroughs of the 1980s, Manthiram said he’s seen traditional battery tech continue to improve year after year. He thinks lithium-sulfur will follow the same trajectory, only quicker. “Can it be solved in five years, 10 years? I’m optimistic.” he told me. He’s currently working with Lyten on a Department of Energy-funded grant to accelerate the commercialization of lithium-sulfur batteries for use in EVs.
Zeta thinks it’s already found the ticket, though. It claims to offer three times the energy density of traditional lithium-ion at less than half the price. While Melissa Schilling, Zeta’s head of strategic marketing and innovation, couldn’t reveal much about Zeta’s proprietary cathode, she did tell me that it’s made of a sulfur-carbon polymer that eliminates the dreaded polysulfide shuttle effect (a claim that’s been externally verified) and allows for greater electrical conductivity. The company’s lithium-metal anode is made of carbon nanotubes, a.k.a. tiny cylinders composed of carbon atoms. The nanotubes help improve the anode’s stability, thus increasing energy density compared with traditional graphite anodes while also preventing the formation of dendrites, tiny projections on the anode that can cause the battery to break down.
Zeta’s batteries can go through about eight times more charge/discharge cycles than traditional lithium-sulfur batteries, according to the company’s figures and Manthiram’s estimation of a typical life cycle. Optimizing these batteries for EVs, though, will likely mean a much shorter cycle life, which may not be on par with what lithium-ion can do. Even so, Schilling told me, “what we’re going to beat lithium-ion on is density and cost.” The company has raised $30 million to date, and is in the midst of raising its Series B round. While Schilling couldn’t reveal the names of Zeta’s initial customers, she told me that the company is collaborating with a large automaker and heavy equipment manufacturer. Zeta has also received the same commercialization grant from the DOE as Lyten.
For its part, Lyten currently provides 25% greater energy density than top-of-the-line lithium-ion batteries, Norman told me. The company expects that soon, it will be able to offer twice the energy density at half the material cost. Lyten’s tech relies upon a so-called supermaterial, three-dimensional graphene, which it’s developing in-house. This gets combined with sulfur in the cathode to form a more conductive and stable composite material.
Norman said you can think of 3D graphene like a sponge with pore sizes “perfectly designed to hold sulfur atoms.” The graphene “gives [the sulfur] conductivity and gives it a rigid structure that doesn’t allow it to break down as easily,” he told me, meaning the battery is less likely to succumb to the polysulfide shuttle effect. Lyten’s anode is also made of energy dense lithium-metal.
Lyten hasn’t publicly revealed its battery’s cycle life, however, and in a follow-up email, Norman told me that when it comes to EV batteries, Lyten is “not yet at the cycle life we need,” though the company is “seeing 20-30% improvement in lithium-sulfur battery performance each year.” For customers using lithium-sulfur for earlier-stage applications such as drones, satellites, and two- and three-wheelers, Norman wrote that Lyten’s current cycle life “meets or very nearly meets their requirements.”
The company seems to have the money to work towards these improvements. Lyten achieved “unicorn” status last year, recording a valuation over $1 billion after closing a $200 million Series B round. It counts Stellantis and FedEx among its backers, and the Department of Defense is even funding a demonstration of Lyten’s battery tech aboard the International Space Station, where lithium-sulfur cells will be tested for use in everything from satellites to space suits.
Norman told me the company’s recent purchase of Northvolt’s old Bay Area facility represents an important step in Lyten’s path to scale. The California plant was originally designed to produce lithium-metal batteries for Cuberg, a startup Northvolt acquired in 2021 and closed down this summer. Like Lyten’s and Zeta’s, Cuberg’s batteries used a pure lithium-metal anode, while its cathode was the same old nickel-manganese-cobalt chemistry that conventional lithium-ion batteries use. With this kind of chemistry, Norman told me, it would be “very difficult to ever compete on costs.”
One of the main ways that Northvolt ultimately went wrong, Norman and Schilling agreed, is that it tried to scale standard lithium-ion tech too quickly in a price-sensitive environment. “They kind of went right to these 10, 20, 30 gigawatt-hour facilities,” Norman told me. “As they tried to scale those, they ran into a lot of manufacturing challenges and just the cost and time of trying to learn that on these huge facilities kind of bit them.” Schilling told me she thinks QuantumScape, a manufacturer of solid-state batteries for EVs, is running the same risk.
To compete with the low-cost Chinese batteries flooding the market, Norman told me domestic tech has to be demonstrably better — incremental improvements in efficiency, cost, or sustainability will not be enough. “Fundamentally, you’ve got to have a differentiated battery that customers are really dying to get their hands on,” Norman told me. But he knows that if Lyten successfully commercializes lithium-sulfur, other companies and countries will quickly get into the game.
After all, major battery giants such as LG, Samsung, SK, and Panasonic are well aware of what’s going on in the lithium-sulfur space, Manthiram told me, even if they’ve yet to make any noise about it. “They are quietly doing some work, R&D. They don’t hype it because they have a product already made,” Manthiram said, referring to the company’s widely available lithium-ion batteries. “They are also watching what academic labs are doing, what Lyten is doing, what others are doing.”
These behemoths are sure to pounce when and if the timing is right. Yet Lyten and Zeta still have the opportunity to pioneer a novel battery technology that can be fully made in America — something thus far unheard of in the battery universe.
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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.