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How Trump Rocked EV Charging Startups
The end of consumer electric vehicle tax credits isn’t great, but clawing back federal funding has been even worse.
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The end of consumer electric vehicle tax credits isn’t great, but clawing back federal funding has been even worse.
On abandoning Antarctica, an EV milestone, and this week’s big earnings
Artificial intelligence wants the energy and has the money, and climate tech companies need buyers.
The grant from Washington State will fund a facility where all kinds of fusion labs can run tests of their own.
On Fervo’s megadeal tease, steel’s coal gamble, and Norway’s CO2 milestone
The birthplace of electricity has more recently been known more for smokestacks and traffic jams than world-changing energy breakthroughs. But that could be about to change.
On the NRC, energy in Pennsylvania, and Meta AI
Current conditions: Air quality alerts will remain in place in Chicago through Tuesday evening due to smoke from Canadian wildfires • There is a high risk of a tropical depression forming in the Gulf this week • The rain is clearing on the eastern seaboard after 2.64 inches fell in New York’s Central Park on Monday, breaking the record for July 14 set in 1908.
The Trump administration is putting pressure on the Nuclear Regulatory Commission to “rubber stamp” all new reactors, Politico reports based on conversations with three people at the May meeting where the expectation was relayed. The directive to the NRC’s top staff came from Adam Blake, a representative of the Department of Government Efficiency, who apparently used the term “rubber stamp” specifically to describe the function of the independent agency. NRC’s “secondary assessment” of the safety of new nuclear projects would be a “foregone conclusion” following approval by the Department of Energy or the Pentagon, NRC officials were made to believe, per Politico.
A spokesperson for the NRC pointed to President Trump’s recent executive order aiming to quadruple U.S. nuclear power by 2050 in response to Politico’s reporting. Skeptics, however, have expressed concern over the White House’s influence on the NRC, which is meant to operate independently, as well as potential safety lapses that might result from the 18-month deadline for reviewing new reactors established in the order.
President Trump and Republican Senator Dave McCormick of Pennsylvania will announce a $70 million “AI and energy investment” in the Keystone State at the inaugural Pennsylvania Energy and Innovation Summit today in Pittsburgh. The event is meant to focus on the development of emerging energy technologies. Organizers said that more than 60 CEOs, including executives from ExxonMobil, Chevron, BlackRock, and Palantir, will be in attendance at the event hosted by Carnegie Mellon University. BlackRock is expected to announce a $25 billion investment in a “data-center and energy infrastructure development in Northeast Pennsylvania, along with a joint venture for increased power generation” at the event, Axios reports.
Ahead of the summit, critics slammed the event as a “moral failure,” with student protests expected throughout the day. Paulina Jaramillo, a professor of engineering and public policy at Carnegie Mellon, wrote on Bluesky that the summit was a “slap in the face to real clean energy researchers,” and that there is “nothing innovative about propping up the fossil fuel industry.” “History will judge institutions that chose short-term gain over moral clarity during this critical moment for climate action and scientific integrity,” she went on.
On Monday, Meta founder and CEO Mark Zuckerberg confirmed on Threads that the company aims to become “the first lab to bring a 1GW+ supercluster online” — an ambitious goal that will require the extensive development of new gas infrastructure, my colleague Matthew Zeitlin reports. The first gigawatt-level project, an Ohio data center called Prometheus, will be powered by Meta’s own natural gas infrastructure, with the natural gas company Williams reportedly building two 200-megawatt facilities for the project in Ohio. The buildout for Prometheus is in addition to another Meta project in Northeast Louisiana, Hyperion, that Zuckerberg said Monday could eventually be as large as 5 gigawatts. “To get a sense of the scale we’re talking about, a new, large nuclear reactor has about a gigawatt of capacity, while a newly built natural gas plant could supply only around 500 megawatts,” Matthew writes. Read his full report here.
BYD
Electric vehicle sales are currently on track to outpace gasoline car sales in China this year, Bloomberg reports. In the first six months of 2025, new battery-electric, plug-in hybrid, and extended-range electric cars accounted for 5.5 million vehicles sold in the country (compared to 5.4 million sales of new gasoline cars), and are projected to top 16 million before the end of December — both of which put EVs a hair over their combustion-powered competitors.
By contrast, battery-electric cars only accounted for 28% of new-car sales in China last year, per the nation’s Passenger Car Association. But “sales this year have been spurred by the extension of a trade-in subsidy” as well as the nation’s expansive electrified lineup, including “several budget options” like BYD’s Seagull, Bloomberg writes. “China is the only large market where EVs are on average cheaper to buy than comparable combustion cars,” BloombergNEF reported last month.
Window heat pumps are an extremely promising answer to the conundrum of decarbonizing large apartment buildings, a new report by the nonprofit American Council for an Energy-Efficient Economy has found. Previously, research on heat pumps had primarily focused on their advantages for single-family homes, while the process of retrofitting larger steam- and hot-water-heated apartment buildings remained difficult and expensive, my colleague Emily Pontecorvo explains. But while apartment residents used to have to wait for their building to either install a large central heat pump system for the whole structure, or else rely on a more involved “mini-split” system, newer technologies like window heat pumps proved to be one of the most cost-effective solutions in ACEEE’s report with an average installation cost of $9,300 per apartment. “That’s significantly higher than the estimated $1,200 per apartment cost of a new boiler, but much lower than the $14,000 to $20,000 per apartment price tag of the other heat pump variations,” Emily writes, adding that the report also found window heat pumps may be “the cheapest to operate, with a life cycle cost of about $14,500, compared to $22,000 to $30,000 for boilers using biodiesel or biogas or other heat pump options.” Read Emily’s full report here.
California was powered by two-thirds clean energy in 2023 — the latest year data is available — making it the “largest economy in the world to achieve this milestone,” Governor Gavin Newsom’s office announced this week.
Or at least the team at Emerald AI is going to try.
Everyone’s worried about the ravenous energy needs of AI data centers, which the International Energy Agency projects will help catalyze nearly 4% growth in global electricity demand this year and next, hitting the U.S. power sector particularly hard. On Monday, the Department of Energy released a report adding fuel to that fire, warning that blackouts in the U.S. could become 100 times more common by 2030 in large part due to data centers for AI.
The report stirred controversy among clean energy advocates, who cast doubt on that topline number and thus the paper’s justification for a significant fossil fuel buildout. But no matter how the AI revolution is powered, there’s widespread agreement that it’s going to require major infrastructure development of some form or another.
Not so fast, says Emerald AI, which emerged from stealth last week with $24.5 million in seed funding led by Radical Ventures along with a slew of other big name backers, including Nvidia’s venture arm as well as former Secretary of State John Kerry, Google’s chief scientist Jeff Dean, and Kleiner Perkins chair John Doerr. The startup, founded and led by Orsted’s former chief strategy and innovation officer Varun Sivaram, was built to turn data centers from “grid liabilities into flexible assets” by slowing, pausing, or redirecting AI workloads during times of peak energy demand.
Research shows this type of data center load flexibility could unleash nearly 100 gigawatts of grid capacity — the equivalent of four or five Project Stargates and enough to power about 83 million U.S. homes for a year. Such adjustments, Sivaram told me, would be necessary for only about 0.5% of a data center’s total operating time, a fragment so tiny that he says it renders any resulting training or operating performance dips for AI models essentially negligible.
As impressive as that hypothetical potential is, whether a software product can actually reduce the pressures facing the grid is a high stakes question. The U.S. urgently needs enough energy to serve that data center growth, both to ensure its economic competitiveness and to keep electricity bills affordable for Americans. If an algorithm could help alleviate even some of the urgency of an unprecedented buildout of power plants and transmission infrastructure, well, that’d be a big deal.
While Emerald AI will by no means negate the need to expand and upgrade our energy system, Sivaram told me, the software alone “materially changes the build out needs to meet massive demand expansion,” he said. “It unleashes energy abundance using our existing system.”
Grand as that sounds, the fundamental idea is nothing new. It’s the same concept as a virtual power plant, which coordinates distributed energy resources such as rooftop solar panels, smart thermostats, and electric vehicles to ramp energy supply either up or down in accordance with the grid’s needs.
Adoption of VPPs has lagged far behind their technical potential, however. That’s due to a whole host of policy, regulatory, and market barriers such as a lack of state and utility-level rules around payment structures, insufficient participation incentives for customers and utilities, and limited access to wholesale electricity markets. These programs also depend on widespread customer opt-in to make a real impact on the grid.
“It’s really hard to aggregate enough Nest thermostats to make any kind of dent,”” Sivaram told me. Data centers are different, he said, simply because “they’re enormous, they’re a small city.” They’re also, by nature, virtually controllable and often already interconnected if they’re owned by the same company. Sivaram thinks the potential of flexible data center loads is so promising and the assets themselves so valuable that governments and utilities will opt to organize “bespoke arrangements for data centers to provide their services.”
Sivaram told me he’s also optimistic that utilities will offer data center operators with flexible loads the option to skip the ever-growing interconnection queue, helping hyperscalers get online and turn a profit more quickly.
The potential to jump the queue is not something that utilities have formally advertised as an option, however, although there appears to be growing interest in the idea. An incentive like this will be core to making Emerald AI’s business case work, transmission advocate and president of Grid Strategies Rob Gramlich told me.
Data center developers are spending billions every year on the semiconductor chips powering their AI models, so the typical demand response value proposition — earn a small sum by turning off appliances when the grid is strained — doesn’t apply here. “There’s just not anywhere near enough money in that for a hyperscaler to say, Oh yeah, I’m gonna not run my Nvidia chips for a while to make $200 a megawatt hour. That’s peanuts compared to the bazillions [they] just spent,” Gramlich explained.
For Emerald AI to make a real dent in energy supply and blunt the need for an immediate and enormous grid buildout, a significant number of data center operators will have to adopt the platform. That’s where the partnership with Nvidia comes in handy, Sivaram told me, as the startup is “working with them on the reference architecture” for future AI data centers. “The goal is for all [data centers] to be potentially flexible in the future because there will be a standard reference design,” Sivaram said.
Whether or not data centers will go all in on Nvidia’s design remains to be seen, of course. Hyperscalers have not typically thought of data centers as a flexible asset. Right now, Gramlich said, most are still in the mindset that they need to be operating all 8,760 hours of the year to reach their performance targets.
“Two or three years ago, when we first noticed the surge in AI-driven demand, I talked to every hyperscaler about how flexible they thought they could be, because it seemed intuitive that machine learning might be more flexible than search and streaming,” Gramlich told me. By and large, the response was that while these companies might be interested in exploring flexibility “potentially, maybe, someday,” they were mostly focused on their mandate to get huge amounts of gigawatts online, with little time to explore new data center models.
“Even the ones that are talking about flexibility now, in terms of what they’re actually doing in the market today, they all are demanding 8,760 [hours of operation per year],” Gramlich told me.
Emerald AI is well aware that its business depends on proving to hyperscalers that a degree of flexibility won’t materially impact their operations. Last week, the startup released the results of a pilot demonstration that it ran at an Oracle data center in Phoenix, which proved it was able to reduce power consumption by 25% for three hours during a period of grid stress while still “assuring acceptable customer performance for AI workloads.”
It achieved this by categorizing specific AI tasks — think everything from model training and fine tuning to conversations with chatbots — from high to low priority, indicating the degree to which operations could be slowed while still meeting Oracle’s performance targets. Now, Emerald AI is planning additional, larger-scale demonstrations to showcase its capacity to handle more complex scenarios, such as responding to unexpected grid emergencies.
As transmission planners and hyperscalers alike wait to see more proof validating Emerald AI’s vision of the future, Sivaram is careful to note that his company is not advocating for a halt to energy system expansion. In an increasingly electrified economy, expanding and upgrading the grid will be essential — even if every data center in the world has a flexible load profile.
’We should be building a nationwide transmission system. We should be building out generation. We should be doing grid modernization with grid enhancing technologies,” Sivaram told me. “We just don’t need to overdo it. We don’t need the particularly massive projections that you’re seeing that are going to cause your grandmother’s electricity rates to spike. We can avoid that.”