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If the “nuclear renaissance” is here, it’s happening only in certain kinds of places. California and New York aren’t getting new reactors capable of generating massive amounts of always-on, carbon-free power — instead projects are being completed and planned in Tennessee, Georgia, and Idaho. It’s not all red state friendliness to new development and blue state fears of nuclear waste either. It’s really about how electricity markets are organized across the United States.
There’s simply little new nuclear activity in the vast swaths of the country, like much of the Northeast and Midwest, Texas, and California, where electricity markets have been partially or completely “deregulated,” meaning that utilities largely buy electricity from generators and distribute it to consumers in something like a free market. Instead, nuclear projects are popping up in markets, like those in the South and Mountain West, where utilities still control both electricity generation (think power plants) and the distribution of that electricity to customers and where public power companies can still predominate in the market. In these areas, energy companies have the scale, authority, access to investment, and captive customer base necessary to embark on capital intensive projects like nuclear generators.
This is of note because the Department of Energy estimates that in order to decarbonize the power system, some 550 to 770 gigawatts of new clean firm capacity, meaning generators that can be turned on 24/7, will be necessary. While this could include geothermal, solar or wind paired with batteries, or pumped hydro, there’s already some 94 gigawatts of existing nuclear capacity that the Energy Department anticipates could scale to around 300 gigawatts by 2050.
Where that’s been expanded recently is not necessarily the parts of the country that have an aggressive mandate to decarbonize.
Consider Georgia’s Vogtle-3 reactor, the United States’ first new nuclear reactor in years. The end result is a staggering amount of non-carbon-emitting power, but delivered at an eye-wateringly high cost (some $16 billion overbudget) in a market set-up where an investor-owned, vertically integrated utility — Georgia Power, a subsidiary of Southern Company — is able to charge ratepayers for high construction costs. Or Watts Bar Unit 2, a new reactor built by the Tennessee Valley Authority, a government power company with a monopoly on electricity in Tennessee and bordering states (it had its own set of delays — for decades — and cost overruns).
A similar dynamic is at work when it comes to the next generation of nuclear technology. The Carbon Free Power Project is a planned set of small modular reactors at the Idaho National Laboratory that a coalition of Mountain West public utilities have been working on and hope to make operational by the end of the decade.
The dream of small modular reactors is that, by standardizing construction processes and parts and also by literally making the projects smaller, construction costs for nuclear power can be brought down as more projects get completed. That being said, the Carbon Free Power Project has still reported large cost escalations. And it’s doing so with funding from the Department of Energy that could amount to around $1.3 billion of the over $9 billion it’s expected to cost if the project actually starts generating power as scheduled in 2029. Some members of the coalition have already dropped out and the projected price of power generated by the reactors has increased.
That’s not a huge surprise. Cost is really what’s holding back nuclear power.
The great scaling of renewable power across the country has been, its advocates always like to say, a triumph of the market. Wind and solar projects, while expensive to set up, are cheap to operate over time, in part because they have no fuel costs, compared to thermal plants which must acquire and combust coal, oil, or natural gas. In fact, around two thirds of the price of natural gas-generated power comes from the fuel itself, which actually hasn’t been a huge problem for natural gas over the past 15 years since it’s been so cheap.
On the other hand, the vast majority of the costs of nuclear power come from the expense of building its generators, according to an analysis by Brian Potter, a fellow at the Institute for Progress and a contributor to Heatmap. With gargantuan capital requirements and long construction timelines, interest payments on financing can end up doubling the total costs of nuclear plants. When those costs get reflected in the price of nuclear energy on so-called deregulated electricity markets, it becomes uncompetitive.
Regulated markets are a different story, however. Utilities that own power plants have massive cash flows and legally mandated profits that let them borrow huge amounts of money at the lower costs necessary to finance large, capital-intensive construction projects like nuclear plants — and then put the costs directly into ratepayers' bills.
“These larger utilities have a larger balance sheet, they can carry a larger project on their books without it being a huge percentage of their net debt at any point in time,” Adam Stein, the director of the Nuclear Energy Innovation program at the Breakthrough Institute, told me. The Tennessee Valley Authority also has a large capacity to carry debt, while public power companies “have experience and expertise internally in how to engage in the DOE grant process,” Stein said.
Critics of deregulation and advocates for nuclear power argue that the way those markets work does not properly value power that is not variable, like wind and solar, and can keep their fuel stored on site, unlike gas, which relies on pipelines. Despite the unique role it can play on the grid, nuclear power still has to compete on the same playing field as other assets which are intermittent or rely on getting fuel, Stein explained.
But utilities that control both generation and distribution aren’t immune from market forces, even if they can withstand them better. One reason why deregulation took hold in much of the county is precisely because there was so much backlash to utilities’ nuclear power plant projects that were more expensive than projected and assumed more electricity demand than there actually was.
“The ratepayers were paying a lot for the nuclear plants, and they were unhappy with it,” Meredith Angwin, an energy analyst and critic of deregulation, told me. “Cost per megawatt of nuclear plants, it’s just rising. There’s a learning curve that makes things less expensive — with nuclear it goes the other way.” Figuring out exactly why this happened — and how to reverse it — has been the great challenge of the nuclear industry and energy policy experts.
Many advocates for increased use of nuclear power see new construction techniques, plant designs, and more well-tailored regulation as the answer to these rising costs.
And while there have been large declines in the cost of renewables over the past decade, wind and solar projects have run into cost issues recently thanks to economy-wide inflation and specific issues with supply chains.
Offshore wind in the United States, which currently has a few dozen megawatts of capacity that the Biden administration wants to scale up to 30 gigawatts, is facing a crisis of high costs, with wind developers demanding more money to complete projects and even threatening to cancel them altogether, lest they get access to more subsidies. It’s a story we’ve heard before.
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SoftBank’s error and Nvidia’s scandal suggest data centers may have already peaked as an economic and energy trend.
This is Heatmap Daily, a weekday digest written by our executive editor. Subscribe here.
Covering energy and climate change sometimes means seeing certain stories in a different light than others. And a particularly vivid hue illuminated The Wall Street Journal’s report today that the Japanese conglomerate SoftBank Group is taking a $3.7 billion loss on several gigawatts’ worth of natural gas turbines.
For the Journal, the big news is that SoftBank and its billionaire founder, Masayoshi Son, are failing to capitalize on the artificial intelligence boom. But at Heatmap, we’re thinking about the turbines.
The data center boom and the return of electricity load growth has depleted the world’s supply of natural gas turbines. SoftBank had purchased reservations for about 13 gigawatts of turbines, according to the Journal. That’s a staggering amount of electricity — it could meet New York City’s maximum power draw on the hottest part of a summer’s day. The conglomerate now seems set to dump reservations for about four gigawatts’ worth. Keeping a reservation, it turns out, really is harder than making it.
Most of those rotors were reportedly from GE Vernova, one of the world’s largest producers of gas turbines. GE Vernova’s order list for gas turbines has been filled for nearly two years and the waiting list now stretches into 2031. That has led data center developers, hungry to get power as soon as possible, to reach for ever dirtier forms of electricity generation, including diesel generators and even old jet engines.
On that front, SoftBank’s failure to sell the turbines to a higher bidder suggests (albeit weakly) that demand for energy-producing assets might not be as strong as the AI boom’s backers once thought. SoftBank was already set to send about 9 gigawatts of turbines to the enormous Trump-backed OpenAI data center in Pike County, Ohio. The roughly remaining four gigawatts will be released back their manufacturers. (One thing this news can’t quite tell us, alas, is what type of turbine set-up will be used in the Pike County facility, which will be the world’s largest gas-fired power plant if it is build to completion. Recent public filings have suggested the facility isn’t planning on using any turbines in the more efficient combined-cycle configuration, which would mean the plant’s carbon intensity will be worse than most other new natural gas plants. But we’d love to hear any tips on this front.)
To zoom out for a second, I’m struck by how the AI bubble has been replaced by an AI muddle. As I wrote this, news emerged that Nvidia is preparing to fire its CEO, Jensen Huang, for his affair with a Chinese woman who is alleged to be a spy. (He had at least one more affair with another Nvidia executive, according to The New York Times.) Under Huang’s leadership, Nvidia has invested in a sprawling and sometimes circular network of energy-related companies, including Emerald AI, a startup that helps data centers flex their electricity consumption, and Redwood Materials, a battery recycler and producer led by the former Tesla executive J.B. Straubel. Huang has used Nvidia’s enormous balance sheet to buy down the risk of other AI and AI-related companies, propelling the overall AI trade to become the biggest story in American markets.
Now that balance sheet is in peril: Nvidia’s stock is already down 11% over the past five days, and it has fallen another 8% in after-hours trading since news broke of Huang’s ouster. If the chip designer’s financial network began to fray — or even if the next CEO had a lower risk appetite than Huang — then its demise could impact a much larger set of firms.
Even before the Huang scandal broke, companies at the center of the AI trade were showing signs of weakness. Alphabet, Meta, and Microsoft are all down on the month. Nvidia was already lagging by about 10% on the month before its hebdomas horribilis began, too. The memory and chip makers Micron and Applied Materials are both down more than 25% in about the same period, and GE Vernova and Oklo have fallen nearly 20%. Although the data center company Coreweave rebounded on an earnings beat today, it’s still down 24% on the month and nearly 50% since May.
The market rout isn’t total — Anthropic seems likely to enjoy one of the largest IPOs ever in the next week (although perhaps not with quite as large a valuation as its investors once imagined). And the underlying technology of AI seems to be getting worryingly better all the time. But even though the politics of data centers and AI seem set to dominate the new Washington, I’m wondering if data centers as a mainstream economic trend might have already peaked. Americans voted for a more subdued AI boom in the midterms. Now it seems like they might get it ahead of schedule.
Lunar Energy’s latest AI-powered system aims to integrate EVs into the automated demand response mix.
In theory, it’s straightforward to assemble the smart energy home: Solar panels, home backup batteries, and electric vehicles, plus smart thermostats, heat pumps, and water heaters — all the individual pieces can be had for the homeowner who can afford the up-front cost. The challenge is getting all those pieces to talk to one another.
Bay Area-based Lunar Energy is one of the tech firms that’s been trying to crack this problem. Today, it announced an upgraded version of its artificial intelligence-powered home energy control system, which not only integrates all those separate systems but also responds tactically to energy markets. CEO Kunal Girotra told me Lunar AI saves its users money by monitoring their home 24/7 and making decisions to charge, not to charge, or discharge so that they save the most money.
“Utilities are all moving to almost-real-time changes of rates,” he said. “You need software to handle that for you. I think that the race is on for who has the best AI machine learning algorithms to save the most amount of money. And so far, we seem to have a head start.”
Lunar’s first-generation system focused on generation, storage, and control. In other words, it connected elements like a home’s rooftop solar panels with the backup battery the residents might keep in the garage, using the AI to decide when to meet the home’s real-time energy needs with solar versus grid energy versus stored power. What it didn’t have was the ability to work with electric vehicles to manage charging and use the car’s battery as a bonus source of energy.
To fix this, Lunar has built its own bidirectional EV charger — one that can charge up the battery or discharge the car’s battery for a secondary use, like backing up the home’s power supply. Girotra, formerly the head of Tesla Energy, told me the problem with that functionality to this point has been the connection point between the car and the home electrical system. Carmakers and other companies in the space didn’t have the deep experience with electrical certifications to make the process seamless, he tells me. That led to setups like the original Ford Charge Station Pro, which required several different wall-mounted electrical boxes to connect the F-150 Lightning EV to the home.
Lunar’s charger is built to connect to its customers’ existing home Lunar energy system, which includes a microgrid interconnect device they call Lunar Bridge that islands the home in case of a power outage on the grid. In that way, the power stored in the EV battery is ready to back up the home in case of a blackout without any additional work — or to be optimized as part of a fully smart home that’s making money as part of a virtual power plant.
The company’s setup allows for another fun feature: “slow” charging that’s not slow at all, but actually two or three times as fast as the Level 2 charging most EV owners use to recharge their batteries overnight. Electric cars in the U.S. can typically take on only about 11 kilowatts of AC power from one’s home because of the limitations of their on-board hardware. Because Lunar’s system is fully DC, however, Girotra said the company decided to build a DC home charger, one that — like a Tesla Supercharger or other DC fast chargers out in the world — isn’t limited by that power cap. Lunar said it could use a combination of power from the grid, home solar, or home batteries to charge an EV at up to 25 kilowatts. That’s enough to recharge an EV in three to four hours rather than six to eight.
“If the standards get high, and if everybody sees cars can get charged in three hours, then all of a sudden people are like, ‘Wow, this is how I want it,’” he said. “Especially for 25% of the users who are like me, who always are running low on charge and they don’t mind a boost every now and then.”
Some of the other improvements in the second-gen system are more incremental. An inverter that’s 40% more powerful helps Lunar get its system up to enterprise scale. That’s crucial, as the world moves toward a place where more homes and businesses employ battery backup systems. Lunar’s new batteries come in modular 5 kilowatt-hour blocks ranging from 10 kilowatt-hours to 30 kilowatt-hours in a single unit and scale up to 300 kilowatt-hours for home or small commercial use; there’s also new pad-mounted configurations with capacity up to 1 megawatt-hour.
Batteries, though, are the simple part. Everyone from EV makers like Rivian to utilities like Octopus Energy is racing to make a person’s or a business’s batteries and solar panels and electric cars work for them, using the power of AI to account for moment-to-moment changes in energy prices and supply. Lunar’s new tech makes the case that the most important element is a single brain to integrate every last smart, electrified thing in your house.
The fundraise comes on the heels of a $50 million grant from the Department of Energy.
Almost all lithium-ion batteries on the market rely on graphite for their anodes, more than 90% of which is processed in China. That concentration has created a chokepoint in the Pentagon’s supply chain as the military increasingly turns to batteries to help its transportation network operate more quietly and reduce reliance on complex refueling logistics.
So when Congress passed the latest National Defense Authorization Act at the end of 2025, barring Chinese-linked battery materials from military use starting in 2028, Coreshell saw an opening. While the California-based silicon-anode battery startup had previously focused on automakers as its beachhead customers, it’s now shipping its first battery cells to the military for use on Navy ships and Army ground vehicles. On Wednesday, Coreshell announced a $30 million Series B to scale up manufacturing operations to meet the needs of this growing customer base.
“We’re entering a new stage where we’re no longer, I would say, demand limited,” Coreshell’s CEO Jonathan Tan told me. “This year we’ve had to put on second and third shifts, work nights and weekends, just to get the product out the door.”
Coreshell sets itself apart by going a step further than the NDAA requires. The law doesn’t make suppliers trace battery materials all the way back to the mine, which would be exceedingly difficult given China’s dominance across the battery supply chain. But Coreshell has nevertheless eliminated Chinese sourcing from its anodes by replacing graphite with silicon mined and refined in the U.S. by Ferroglobe, one of its Series A investors.
Ferroglobe and global investment firm Access Industries led the latest round, with defense contractor ADS also joining as a new strategic investor. The financing comes on the heels of a $50 million Department of Energy grant that Coreshell secured in August as part of a program to strengthen the domestic battery supply chain. That funding will support the company’s first commercial-scale facility, a 2-gigawatt-hour factory.
That’s about 20 times the size of the 100-ish-megawatt-hour plant the startup had originally envisioned, as the DOE grant has allowed Coreshell to “expand much further than we were originally expecting,” according to Tan. The company is now evaluating several potential U.S. sites and expects to announce its selection early next year. For now, it relies on unnamed contract manufactures, along with its small pilot line in San Leandro, to produce its cells. But once the gigafactory gets up and running, the startup plans to bring electrode production in house by 2028, followed by full cell assembly in 2029.
Building this plant will ultimately require significant additional capital. But Tan believes this latest vote of confidence from the federal government will help Coreshell to diversify its capital stack as it continues to fundraise. “That’s one of the great things about having such a notable DOE award is that it also allows us to attract multiple forms of capital,” he told me.
Silicon has long been recognized as a promising alternative material for battery anodes, as it can store far more energy than graphite. The catch is that it tends to swell during charging, causing it to break down quickly and ultimately leading to a much shorter cycle life. Coreshell says it’s extended its anode’s lifespan by giving it a proprietary coating, which Tan told me back in April essentially means “painting the inside of your battery” with an ultra-thin protective layer.
Other companies, such as Sila Nanotechnologies and Group14 Technologies, are also working to commercialize silicon anodes. But Coreshell says many of its competitors rely on more highly engineered, expensive forms of silicon, such as silane gas. By contrast, Coreshell uses metallurgical silicon, a cheap, raw commodity already widely used in aluminum alloys. That, Tan argues, gives the company a cost advantage not only over its competitors, but potentially Chinese graphite too.
Coreshell hasn’t yet demonstrated that its cells can meet the performance demands of the automotive industry, however. When the company raised its Series A in early 2025, it said it expected its automotive cells to exceed 1,000 charge cycles while retaining 80% of their original capacity. But Tan told me many defense applications don’t require such demanding performance targets, as Navy ships and ground vehicles are “not intending to have as many miles or missions or use cases on that same battery” as a consumer EV would.
That doesn’t mean the company is abandoning its automotive ambitions. As Tan pointed out, electric vehicles remain by far the largest source of global and domestic battery demand. “It’s natural for us to obviously utilize the security supply chain first,” he told me. “That allowed us to really get to commercialization, revenue, and production faster, because automotive qualification is this longer journey. But ultimately, we want to do both of those and more.”