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September bills in competitive Republican-held districts have risen by a median of 21% between 2024 and 2026.

New Jersey’s 7th District is an odd place for an affordability fight.
The 15th wealthiest congressional district in the country, NJ-7 stretches from the tidal strait bordering New York’s Staten Island to the winding Delaware River state line with Pennsylvania. Between those two bodies of water, roughly a third of households earn more than $200,000 a year. The 7th Congressional District is also New Jersey’s “one rare and surprising swing district,” per Gothamist, and, as a result, it is also the spendiest on elections: the 2024 high-water mark of $26.3 million in campaign spending will likely be surpassed this year by incumbent Republican Tom Kean Jr. and Democrat Rebecca Bennett.
Needless to say, there are comparatively few constituents in NJ-7 for whom paying $40 more on a September electricity bill than two years ago — or about $300 more over the past 12 months — is the difference between whether they can afford groceries or not. But like many other Republican-held competitive seats this election year, the district has seen its electricity rates increase since just before President Donald Trump took office for his second term, according to the latest data available in Heatmap and MIT’s Electricity Price Hub.
In NJ-7, residents paid about 35% more on their electricity bills this September than two years ago; bills are up more than 18% over the past 12 months compared with the year before. Over that same time period, the Cook Political Report with Amy Walter moved Kean’s reelection race from “lean Republican” to “toss-up” to where it stands now: “lean Democrat.” NJ-7 is largely served by Jersey Central Power & Light and Public Service Electric and Gas Co, and, for both, increases in basic generation service charges — that is, what utilities charge for the production and supply of electricity — drove most of the spikes in bills.
“Kean Jr. voted to roll back commonsense energy tax credits and jack up electricity bills for New Jersey families,” the Democratic Congressional Campaign Committee wrote in a June memo, seizing on the opportunity. “Skyrocketing utility bills are a major issue in the Garden State, and Kean Jr. is part of the problem.” The National Republican Congressional Committee has defended Kean by pointing to his vote for the Ratepayer Protection Act (which passed the House last month only to fail in the Senate) and his record of opposing “Green New Deal policies” to “protect families from rising costs.”
The New Jersey race has more to it than electricity prices, of course; the 7th District election has drawn national attention, including involvement from Elon Musk and, at one time, President Trump. But if even a race in one of the country’s wealthiest districts has become a referendum on affordability to some extent, incumbent Republicans elsewhere are certainly feeling constituents’ ire, too. In the 42 closest races listed as “toss-up” or “leans” by the Cook Political Report, September bills in Republican-held districts have risen a median of 21% from 2024 to 2026, compared with just 13% for Democratic-held seats (and compared to 16% across all 435 House districts).
Comparing September bills is useful because it suggests how voters are perceiving utility costs as they prepare to submit their ballots. But September, being a shoulder season, can also vary in temperature in many parts of the country, meaning bills may be higher because of a late summer heat wave — or an early cold snap. Still, looking over the past 12 months, bills in competitive Republican-held districts have risen twice as fast as those in competitive Democrat-held seats (8% vs 4%). Overall, 22 of the 29 Republican-held House seats in active play this November are in places where electricity bills have risen more than 10% since Trump’s election.
Another race where affordability concerns and rising electricity bills seem to be intertwined is Pennsylvania’s 10th Congressional District, held by Republican and former House Freedom Caucus head Scott Perry. The typical September bill in PA-10 rose from about $126 to $202 in just two years, a 61% increase, according to the Electricity Price Hub. (The most recent data for the district are projections, because New York and Pennsylvania release their reports on a delay.) Among the utilities in PA-10, generation contributes the largest amount to average bills, with costs roughly doubling since 2020.
Pennsylvanians are feeling it: 57% of registered voters in PA-10 told a local pollster it is “very” or “somewhat” difficult to afford monthly utility costs, making it a bigger financial struggle than groceries, gas, rent, or health care.
Perry’s opponent, Janelle Stelson, has hammered him on affordability (including gas prices) while groups like the Natural Resources Defense Council have labeled Perry as a “rate raiser,” pointing to his coziness with the fossil fuel industry and his proud opposition to renewable energy development.
Perhaps nowhere are utility rates more central to a House race than in New York’s 17th Congressional District, where Republican incumbent Mike Lawler is in a “toss-up” race against Democrat Cait Conley. His constituents are paying about $50 more on a September electricity bill than they were before he was elected in 2024, while bills have risen more than 17%, or over $330, in the past 12 months compared with the year prior. (Across the utilities servicing NY-17 — as well as NY-19, another district where utility bills are a central talking point— the delivery portion of the bill tends to be the largest, though generation costs have also grown substantially over the past five years.)
While rising electricity bills have given Democrats an easy line of attack on vulnerable Republicans heading into the midterms, Congress admittedly doesn’t set utility rates and there are limited levers for elected officials to pull to keep them down in the short term. Heatmap’s data, rather, indicates the places where voters appear especially sensitive to rate increases and may be taking it out on their elected officials — although there are still caveats.
For example, the trends are also largely regional. Our data shows the steepest electricity increases among a cluster of seats in Pennsylvania, New York, New Jersey, and Ohio — many of them Republican seats in purple areas that Democrats would have targeted with or without the ammo of higher electricity prices. In other parts of the country, competitive races in California and Arizona have actually seen falling electricity bills.
Two can play the rate increase blame game, too. In New York’s 19th Congressional District, incumbent Democrat Josh Riley is running on lowering utility bills — as is his Republican opponent. (That race isn’t considered competitive by Cook, which puts Riley as the “likely” favorite.) In Ohio’s 9th Congressional District, a toss-up race where bills were about $40 higher in September of this year than in 2024, incumbent Democrat Marcy Kaptur and her allies are on the defensive and warn that her challenger, Derek Merrin, could jack them up even more.
Bills are up everywhere on average, and when you pull back, the influence on elections appears relatively small: the median competitive district’s bills rose 11.4% compared to the median bill for a safe seat, 10.3%, in January–September 2026 versus January–September 2024. The per-kilowatt-hour price of electricity (as distinct from household bills) rose slightly less in competitive races (8.2% median) than in safe seats (9.7% median). In some places feeling the squeeze on electricity bills, bigger issues are driving the election: Carol Obando-Derstine, a former utility employee who campaigned in Pennsylvania’s 7th District on lowering power bills, ultimately lost the Democratic primary to a candidate focused more on corruption and greed.
But in other districts, it won’t matter whether representatives have little control over electricity bills or whether rising prices are a national trend. “I’m working hard to keep my lights on,” one constituent says in a House Majority PAC ad that makes the case against the Republican, Lawler, in NY-17. “My bills keep going up.”
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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.”