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What he wants them to do is one thing. What they’ll actually do is far less certain.

Donald Trump believes that tariffs have almost magical power to bring prosperity; as he said last month, “To me, the world’s most beautiful word in the dictionary is tariffs. It’s my favorite word.” In case anyone doubted his sincerity, before Thanksgiving he announced his intention to impose 25% tariffs on everything coming from Canada and Mexico, and an additional 10% tariff on all Chinese goods.
This is just the beginning. If the trade war he launched in his first term was haphazard and accomplished very little except costing Americans money, in his second term he plans to go much further. And the effects of these on clean energy and climate change will be anything but straightforward.
The theory behind tariffs is that by raising the price of an imported good, they give a stronger footing in the market; eventually, the domestic producer may no longer need the tariff to be competitive. Imposing a tariff means we’ve decided that a particular industry is important enough that it needs this kind of support — or as some might call it, protection — even if it means higher prices for a while.
The problem with across-the-board tariffs of the kind Trump proposes is that they create higher prices even for goods that are not being produced domestically and probably never will be. If tariffs raise the price of a six-pack of tube socks at Target from $9.99 to $14.99, it won’t mean we’ll start making tube socks in America again. It just means you’ll pay more. The same is often true for domestic industries that use foreign parts in their manufacturing: If no one is producing those parts domestically, their costs will unavoidably rise.
The U.S. imported over $3 trillion worth of goods in 2023, and $426 billion from China alone, so Trump’s proposed tariffs would represent hundreds of billions of dollars of increased costs. That’s before we account for the inevitable retaliatory tariffs, which is what we saw in Trump’s first term: He imposed tariffs on China, which responded by choking off its imports of American agricultural goods. In the end, the revenue collected from Trump’s tariffs went almost entirely to bailing out farmers whose export income disappeared.
The past almost-four years under Joe Biden have seen a series of back-and-forth moves in which new tariffs were announced, other tariffs were increased, exemptions were removed and reinstated. For instance, this May Biden increased the tariff on Chinese electric vehicles to over 100% while adding tariffs on certain EV batteries. But some of the provisions didn’t take effect right away, and only certain products were affected, so the net economic impact was minimal. And there’s been nothing like an across-the-board tariff.
It’s reasonable to criticize Biden’s tariff policies related to climate. But his administration was trying to navigate a dilemma, serving two goals at once: reducing emissions and promoting the development of domestic clean energy technology. Those goals are not always in alignment, at least in the short run, which we can see in the conflict within the solar industry. Companies that sell and install solar equipment benefit from cheap Chinese imports and therefore oppose tariffs, while domestic manufacturers want the tariffs to continue so they can be more competitive. The administration has attempted to accommodate both interests with a combination of subsidies to manufacturers and tariffs on certain kinds of imports — with exemptions peppered here and there. It’s been a difficult balancing act.
Then there are electric vehicles. The world’s largest EV manufacturer is Chinese company BYD, but if you haven’t seen any of their cars on the road, it’s because existing tariffs make it virtually impossible to import Chinese EVs to the United States. That will continue to be the case under Trump, and it would have been the case if Kamala Harris had been elected.
On one hand, it’s important for America to have the strongest possible green industries to insulate us from future supply shocks and create as many jobs-of-the-future as possible. On the other hand, that isn’t necessarily the fastest route to emissions reductions. In a world where we’ve eliminated all tariffs on EVs, the U.S. market would be flooded with inexpensive, high-quality Chinese EVs. That would dramatically accelerate adoption, which would be good for the climate.
But that would also deal a crushing blow to the American car industry, which is why neither party will allow it. What may happen, though, is that Chinese car companies may build factories in Mexico, or even here in the U.S., just as many European and Japanese companies have, so that their cars wouldn’t be subject to tariffs. That will take time.
Of course, whatever happens will depend on Trump following through with his tariff promise. We’ve seen before how he declares victory even when he only does part of what he promised, which could happen here. Once he begins implementing his tariffs, his administration will be immediately besieged by a thousand industries demanding exemptions, carve-outs, and delays in the tariffs that affect them. Many will have powerful advocates — members of Congress, big donors, and large groups of constituents — behind them. It’s easy to imagine how “across-the-board” tariffs could, in practice, turn into Swiss cheese.
There’s no way to know yet which parts of the energy transition will be in the cheese, and which parts will be in the holes. The manufacturers can say that helping them will stick it to China; the installers may not get as friendly an audience with Trump and his team. And the EV tariffs certainly aren’t going anywhere.
There’s a great deal of uncertainty, but one thing is clear: This is a fight that will continue for the entirety of Trump’s term, and beyond.
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Citrine Informatics has been applying machine learning to materials discovery for years. Now more advanced models are giving the tech a big boost.
When ChatGPT launched three years ago, it became abundantly clear that the power of generative artificial intelligence had the capacity to extend far beyond clever chatbots. Companies raised huge amounts of funding based on the idea that this new, more powerful AI could solve fundamental problems in science and medicine — design new proteins, discover breakthrough drugs, or invent new battery chemistries.
Citrine Informatics, however, has largely kept its head down. The startup was founded long before the AI boom, back in 2013, with the intention of using simple old machine learning to speed up the development of more advanced, sustainable materials. These days Citrine is doing the same thing, but with neural networks and transformers, the architecture that undergirds the generative AI revolution.
“The technology transition we’re going through right now is pretty massive,” Greg Mulholland, Citrine’s founder and CEO, told me. “But the core underlying goal of the company is still the same: help scientists identify the experiments that will get them to their material outcome as fast as possible.”
Rather than developing its own novel materials, Citrine operates on a software-as-a-service model, selling its platform to companies including Rolls-Royce, EMD Electronics, and chemicals giant LyondellBassell. While a SaaS product may be less glamorous than independently discovering a breakthrough compound that enables something like a room-temperature superconductor or an ultra-high-density battery, Citrine’s approach has already surfaced commercially relevant materials across a variety of sectors, while the boldest promises of generative AI for science remain distant dreams.
“You can think of it as science versus engineering,” Mulholland told me. “A lot of science is being done. Citrine is definitely the best in kind of taking it to the engineering level and coming to a product outcome rather than a scientific discovery.” Citrine has helped to develop everything from bio-based lotion ingredients to replace petrochemical-derived ones, to plastic-free detergents, to more sustainable fire-resistant home insulation, to PFAS-free food packaging, to UV-resistant paints.
On Wednesday, the company unveiled two new platform capabilities that it says will take its approach to the next level. The first is essentially an advanced LLM-powered filing system that organizes and structures unwieldy materials and chemicals datasets from across a company. The second is an AI framework informed by an extensive repository of chemistry, physics, and materials knowledge. It can ingest a company’s existing data, and, even if the overall volume is small, use it to create a list of hundreds of potential new materials optimized for factors such as sustainability, durability, weight, manufacturability, or whatever other outcomes the company is targeting.
The platform is neither purely generative nor purely predictive. Instead, Mulholland explained, companies can choose to use Citrine’s tools “in a more generative mode” if they want to explore broadly and open up the field of possible materials discoveries, or in a more “optimized” mode that stays narrowly focused on the parameters they set. “What we find is you need a healthy blend of the two,” he told me.
The novel compounds the model spits out still need to be synthesized and tested by humans. “What I tell people is, any plane made of materials designed exclusively by Citrine and never tested is not a plane I’m getting on,” Mulholland told me. The goal isn’t to achieve perfection right out of the lab, but rather to optimize the experiments companies end up having to do. “We still need to prove materials in the real world, because the real world will complicate it.”
Indeed it will. For one thing, while AI is capable of churning out millions of hypothetical materials — as a tool developed by Google DeepMind did in 2023 — materials scientists have since shown that many are just variants of known compounds, while others are unstable, unable to be synthesized, or otherwise irrelevant under real world conditions.
Such failures likely stem, in part, from another common limitation of AI models trained solely on publicly available materials and chemicals data: Academic research tends to report only successful outcomes, omitting data on what didn’t work and which compounds weren’t viable. That can lead models to be overly optimistic about the magnitude and potential of possible materials solutions and generate unrealistic “discoveries” that may have already been tested and rejected.
Because Citrine’s platform is deployed within customer organizations, it can largely sidestep this problem by tuning its model on niche, proprietary datasets. These datasets are small when compared with the vast public repositories used to train Citrine’s base model, but the granular information they contain about prior experiments — both successes and failures — has proven critical to bringing new discoveries to market.
While the holy grail for materials science may be a model trained on all the world’s relevant data — public and private, positive and negative — at this point that’s just a fantasy, one of Citrine’s investors, Mark Cupta of Prelude Ventures, told me over email. “It’s hard to get buy-in from the entire material development world to make an open-source model that pulls in data from across the field.”
Citrine’s last raise, which Prelude co-led, came at the very beginning of 2023, as the AI wave was still gathering momentum. But Mulholland said there’s no rush to raise additional capital — in fact, he expects Citrine to turn a profit in the next year or so.
That milestone would strongly validate the company’s strategy, which banks on steady revenue from its subscription-based model to compensate for the fact that it doesn’t own the intellectual property for the materials it helps develop. While Mulholland told me that many players in this space are trying to “invent new materials and patent them and try to sell them like drugs,” Citrine is able to “invent things much more quickly, in a more realistic way than the pie in the sky, hoping for a Nobel Prize [approach].”
Citrine is also careful to assure that its model accounts for real world constraints such as regulations and production bottlenecks. Say a materials company is creating an aluminum alloy for an automaker, Mulholland explained — it might be critical to stay within certain elemental bounds. If the company were to add in novel elements, the automaker would likely want to put its new compound through a rigorous testing process, which would be annoying if it’s looking to get to market as quickly as possible. Better, perhaps, to tinker around the edges of what’s well understood.
In fact, Mulholland told me it’s often these marginal improvements that initially bring customers into the fold, convincing them that this whole AI-for-materials thing is more than just hype. “The first project is almost always like, make the adhesive a little bit stickier — because that’s a good way to prove to these skeptical scientists that AI is real and here to stay,” he said. “And then they use that as justification to invest further and further back in their product development pipeline, such that their whole product portfolio can be optimized by AI.”
Overall, the company says that its new framework can speed up materials development by 80%. So while Mulholland and Citrine overall may not be going for the Nobel in Chemistry, don’t doubt for a second that they’re trying to lead a fundamental shift in the way consumer products are designed.
“I’m as bullish as I can possibly be on AI in science,” Mulholland told me. “It is the most exciting time to be a scientist since Newton. But I think that the gap between scientific discovery and realized business is much larger than a lot of AI folks think.”
Plus more insights from Heatmap’s latest event Washington, D.C.
At Heatmap’s event, “Supercharging the Grid,” two members of the House of Representatives — a California Democrat and a Colorado Republican — talked about their shared political fight to loosen implementation of the National Environmental Policy Act to accelerate energy deployment.
Representatives Gabe Evans and Scott Peters spoke with Heatmap’s Robinson Meyer at the Washington, D.C., gathering about how permitting reform is faring in Congress.
“The game in the 1970s was to stop things, but if you’re a climate activist now, the game is to build things,” said Peters, who worked as an environmental lawyer for many years. “My proposal is, get out of the way of everything and we win. Renewables win. And NEPA is a big delay.”
NEPA requires that the federal government review the environmental implications of its actions before finalizing them, permitting decisions included. The 50-year-old environmental law has already undergone several rounds of reform, including efforts under both Presidents Biden and Trump to remove redundancies and reduce the size and scope of environmental analyses conducted under the law. But bottlenecks remain — completing the highest level of review under the law still takes four-and-a-half years, on average. Just before Thanksgiving, the House Committee on Natural Resources advanced the SPEED Act, which aims to ease that congestion by creating shortcuts for environmental reviews, limiting judicial review of the final assessments, and preventing current and future presidents from arbitrarily rescinding permits, subject to certain exceptions.
Evans framed the problem in terms of keeping up with countries like China on building energy infrastructure. “I’ve seen how other parts of the world produce energy, produce other things,” said Evans. “We build things cleaner and more responsibly here than really anywhere else on the planet.”
Both representatives agreed that the SPEED Act on its own wouldn’t solve all the United States’ energy issues. Peters hinted at other permitting legislation in the works.
“We want to take that SPEED Act on the NEPA reform and marry it with specific energy reforms, including transmission,” said Peters.
Next, Neil Chatterjee, a former Commissioner of the Federal Energy Regulatory Commission, explained to Rob another regulatory change that could affect the pace of energy infrastructure buildout: a directive from the Department of Energy to FERC to come up with better ways of connecting large new sources of electricity demand — i.e. data centers — to the grid.
“This issue is all about data centers and AI, but it goes beyond data centers and AI,” said Chatterjee. “It deals with all of the pressures that we are seeing in terms of demand from the grid from cloud computing and quantum computing, streaming services, crypto and Bitcoin mining, reshoring of manufacturing, vehicle electrification, building electrification, semiconductor manufacturing.”
Chatterjee argued that navigating load growth to support AI data centers should be a bipartisan issue. He expressed hope that AI could help bridge the partisan divide.
“We have become mired in this politics of, if you’re for fossil fuels, you are of the political right. If you’re for clean energy and climate solutions, you’re the political left,” he said. “I think AI is going to be the thing that busts us out of it.”
Updating and upgrading the grid to accommodate data centers has grown more urgent in the face of drastically rising electricity demand projections.
Marsden Hanna, Google’s head of energy and dust policy, told Heatmap’s Jillian Goodman that the company is eyeing transmission technology to connect its own data centers to the grid faster.
“We looked at advanced transition technologies, high performance conductors,” said Hanna. “We see that really as just an incredibly rapid, no-brainer opportunity.”
Advanced transmission technologies, otherwise known as ATTs, could help expand the existing grid’s capacity, freeing up space for some of the load growth that economy-wide electrification and data centers would require. Building new transmission lines, however, requires permits — the central issue that panelists kept returning to throughout the event.
Devin Hartman, director of energy and environmental policy at the R Street Institute, told Jillian that investors are nervous that already-approved permits could be revoked — something the solar industry has struggled with under the Trump administration.
“Half the battle now is not just getting the permits on time and getting projects to break ground,” said Hartman. “It’s also permitting permanence.”
This event was made possible by the American Council on Renewable Energy’s Macro Grid Initiative.
On gas turbine backorders, Europe’s not-so-green deal, and Iranian cloud seeding
Current conditions: Up to 10 inches of rain in the Cascades threatens mudslides, particularly in areas where wildfires denuded the landscape of the trees whose roots once held soil in place • South Africa has issued extreme fire warnings for Northern Cape, Western Cape, and Eastern Cape • Still roiling from last week’s failed attempt at a military coup, Benin’s capital of Cotonou is in the midst of a streak of days with temperatures over 90 degrees Fahrenheit and no end in sight.

Exxon Mobil Corp. plans to cut planned spending on low-carbon projects by a third, joining much of the rest of its industry in refocusing on fossil fuels. The nation’s largest oil producer said it would increase its earnings and cash flow by $5 billion by 2030. The company projected earnings to grow by 13% each year without any increase in capital spending. But the upstream division, which includes exploration and production, is expected to bring in $14 billion in earnings growth compared to 2024. The key projects The Wall Street Journal listed in the Permian Basin, Guyana and at liquified natural gas sites would total $4 billion in earnings growth alone over the next five years. The announcement came a day before the Department of the Interior auctioned off $279 million of leases across 80 million acres of federal waters in the Gulf of Mexico.
Speaking of oil and water, early Wednesday U.S. armed forces seized an oil tanker off the coast of Venezuela in what The New York Times called “a dramatic escalation in President Trump’s pressure campaign against Nicolás Maduro.” When asked what would become of the vessel's oil, Trump said at the White House, “Well, we keep it, I guess.”
The Federal Reserve slashed its key benchmark interest rate for the third time this year. The 0.25 percentage point cut was meant to calibrate the borrowing costs to stay within a range between 3.5% and 3.75%. The 9-3 vote by the central bank’s board of governors amounted to what Wall Street calls a hawkish cut, a move to prop up a cooling labor market while signaling strong concerns about future downward adjustments that’s considered so rare CNBC previously questioned whether it could be real. But it’s good news for clean energy. As Heatmap’s Matthew Zeitlin wrote after the September rate cut, lower borrowing costs “may provide some relief to renewables developers and investors, who are especially sensitive to financing costs.” But it likely isn’t enough to wipe out the effects of Trump’s tariffs and tax credit phaseouts.
GE Vernova plans to increase its capacity to manufacture gas turbines by 20 gigawatts once assembly line expansions are completed in the middle of next year. But in a presentation to investors this week, the company said it’s already sold out of new gas turbines all the way through 2028, and has less than 10 gigawatts of equipment left to sell for 2029. It’s no wonder supersonic jet startups, as I wrote about in yesterday’s newsletter, are now eyeing a near-term windfall by getting into the gas turbine business.
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The European Union will free more than 80% of the companies from environmental reporting rules under a deal struck this week. The agreement between EU institutions marks what Politico Europe called a “major legislative victory” for European Commission President Ursula von der Leyen, who has sought to make the bloc more economically self-sufficient by cutting red tape for business in her second term in office. The rollback is also a win for Trump, whose administration heavily criticized the EU’s green rules. It’s also a victory for the U.S. president’s far-right allies in Europe. The deal fractured the coalition that got the German politician reelected to the EU’s top job, forcing her center-right faction to team up with the far right to win enough votes for secure victory.
Ravaged by drought, Iran is carrying out cloud-seeding operations in a bid to increase rainfall amid what the Financial Times clocked as “the worst water crisis in six decades.” On Tuesday, Abbas Aliabadi, the energy minister, said the country had begun a fresh round of injecting crystals into clouds using planes, drones, and ground-based launchers. The country has even started developing drones specifically tailored to cloud seeding.
The effort comes just weeks after the Islamic Republic announced that it “no longer has a choice” but to move its capital city as ongoing strain on water supplies and land causes Tehran to sink by nearly one foot per year. As I wrote in this newsletter, Iranian President Masoud Pezeshkian called the situation a “catastrophe” and “a dark future.”
The end of suburban kids whiffing diesel exhaust in the back of stuffy, rumbling old yellow school buses is nigh. The battery-powered bus startup Highland Electric Fleets just raised $150 million in an equity round from Aiga Capital Partners to deploy its fleets of buses and trucks across the U.S., Axios reported. In a press release, the company said its vehicles would hit the streets by next year.