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It took the market about a week to catch up to the fact that the Chinese artificial intelligence firm DeepSeek had released an open-source AI model that rivaled those from prominent U.S. companies such as OpenAI and Anthropic — and that, most importantly, it had managed to do so much more cheaply and efficiently than its domestic competitors. The news cratered not only tech stocks such as Nvidia, but energy stocks, as well, leading to assumptions that investors thought more-energy efficient AI would reduce energy demand in the sector overall.
But will it really? While some in climate world assumed the same and celebrated the seemingly good news, many venture capitalists, AI proponents, and analysts quickly arrived at essentially the opposite conclusion — that cheaper AI will only lead to greater demand for AI. The resulting unfettered proliferation of the technology across a wide array of industries could thus negate the energy efficiency gains, ultimately leading to a substantial net increase in data center power demand overall.
“With cost destruction comes proliferation,” Susan Su, a climate investor at the venture capital firm Toba Capital, told me. “Plus the fact that it’s open source, I think, is a really, really big deal. It puts the power to expand and to deploy and to proliferate into billions of hands.”
If you’ve seen lots of chitchat about Jevons paradox of late, that’s basically what this line of thinking boils down to. After Microsoft’s CEO Satya Nadella responded to DeepSeek mania by posting the Wikipedia page for this 19th century economic theory on X, many (myself included) got a quick crash course on its origins. The idea is that as technical efficiencies of the Victorian era made burning coal cheaper, demand for — and thus consumption of — coal actually increased.
While this is a distinct possibility in the AI space, it’s by no means a guarantee. “This is very much, I think, an open question,“ energy expert Nat Bullard told me, with regards to whether DeepSeek-type models will spur a reduction or increase in energy demand. “I sort of lean in both directions at once.” Formerly the chief content officer at BloombergNEF and current co-founder of the AI startup Halcyon, a search and information platform for energy professionals, Bullard is personally excited for the greater efficiencies and optionality that new AI models can bring to his business.
But he warns that just because DeepSeek was cheap to train — the company claims it cost about $5.5 million, while domestic models cost hundreds of millions or even billions — doesn’t mean that it’s cheap or energy-efficient to operate. “Training more efficiently does not necessarily mean that you can run it that much more efficiently,” Bullard told me. When a large language model answers a question or provides any type of output, it’s said to be making an “inference.” And as Bullard explains, “That may mean, as we move into an era of more and more inference and not just training, then the [energy] impacts could be rather muted.”
DeepSeek-R1, the name for the model that caused the investor freakout, is also a newer type of LLM that uses more energy in general. Up until literally a few days ago, when OpenAI released o3-mini for free, most casual users were probably interacting with so-called “pretrained” AI models. Fed on gobs of internet text, these LLMs spit out answers based primarily on prediction and pattern recognition. DeepSeek released a model like this, called V3, in September. But last year, more advanced “reasoning” models, which can “think,” in some sense, started blowing up. These models — which include o3-mini, the latest version of Anthropic’s Claude, and the now infamous DeepSeek-R1 — have the ability to try out different strategies to arrive at the correct answer, recognize their mistakes, and improve their outputs, allowing for significant advancements in areas such as math and coding.
But all that artificial reasoning eats up a lot of energy. As Sasha Luccioni, the AI and climate lead at Hugging Face, which makes an open-source platform for AI projects, wrote on LinkedIn, “To set things clear about DeepSeek + sustainability: (it seems that) training is much shorter/cheaper/more efficient than traditional LLMs, *but* inference is longer/more expensive/less efficient because of the chain of thought aspect.” Chain of thought refers to the reasoning process these newer models undertake. Luccioni wrote that she’s currently working to evaluate the energy efficiency of both the DeepSeek V3 and R1 models.
Another factor that could influence energy demand is how fast domestic companies respond to the DeepSeek breakthrough with their own new and improved models. Amy Francetic, co-founder at Buoyant Ventures, doesn’t think we’ll have to wait long. “One effect of DeepSeek is that it will highly motivate all of the large LLMs in the U.S. to go faster,” she told me. And because a lot of the big players are fundamentally constrained by energy availability, she’s crossing her fingers that this means they’ll work smarter, not harder. “Hopefully it causes them to find these similar efficiencies rather than just, you know, pouring more gasoline into a less fuel-efficient vehicle.”
In her recent Substack post, Su described three possible futures when it comes to AI’s role in the clean energy transition. The ideal is that AI demand scales slowly enough that nuclear and renewables scale with it. The least hopeful is that immediate, exponential growth in AI demand leads to a similar expansion of fossil fuels, locking in new dirty infrastructure for decades. “I think that's already been happening,” Su told me. And then there’s the techno-optimist scenario, linked to figures like Sam Altman, which Su doesn’t put much stock in — that AI “drives the energy revolution” by helping to create new energy technologies and efficiencies that more than offset the attendant increase in energy demand.
Which scenario predominates could also depend upon whether greater efficiencies, combined with the adoption of AI by smaller, more shallow-pocketed companies, leads to a change in the scale of data centers. “There’s going to be a lot more people using AI. So maybe that means we don’t need these huge, gigawatt data centers. Maybe we need a lot more smaller, megawatt-size data centers,” Laura Katzman, a principal at Buoyant Ventures, told me. Katzman has conducted research for the firm on data center decarbonization.
Smaller data centers with a subsequently smaller energy footprint could pair well with renewable-powered microgrids, which are less practical and economically feasible for hyperscalers. That could be a big win for solar and wind plus battery storage, Katzman explained, but a boondoggle for companies such as Microsoft, which has famously committed to re-opening Pennsylvania’s Three Mile Island nuclear plant to power its data centers. “Because of DeepSeek, the expected price of compute probably doesn’t justify now turning back on some of these nuclear plants, or these other high-cost energy sources,” Katzman told me.
Lastly, it remains to be seen what nascent applications cheaper models will open up. “If somebody, say, in the Philippines or Vietnam has an interest in applying this to their own decarbonization challenge, what would they come up with?” Bullard pondered. “I don’t yet know what people would do with greater capability and lower costs and a different set of problems to solve for. And that’s really exciting to me.”
But even if the AI pessimists are right, and these newer models don’t make AI ubiquitously useful for applications from new drug discovery to easier regulatory filing, Su told me that in a certain sense, it doesn't matter much. “If there was a possibility that somebody had this type of power, and you could have it too, would you sit on the couch? Or would you arms race them? I think that is going to drive energy demand, irrespective of end utility.”
As Su told me, “I do not think there’s actually a saturation point for this.”
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The EV maker appears to be poised to start construction on its second factory.
Rivian’s stock fell 18% on Monday, but it’s hard to imagine the company’s executives are too upset. Why? Because the automaker seems to be on the verge of starting work on its long-awaited second factory, 45 miles east of downtown Atlanta.
Let’s do some reading between the lines. Rivian has had a great few weeks. The EV maker announced last week that it is on track to sell about 3,000 more cars this year than expected, and its stock has been on a tear, rising more than 37% from close on June 25 to close on Monday.
The company’s CEO, RJ Scaringe, evidently decided it was time to capitalize on the run-up. The company announced on Monday evening that it would offer another 75 million shares of its stock this week, diluting existing investors. That raise would be used to fund “general corporate purposes,” according to a federal filing, including “the funding of certain equity contributions” related to an Energy Department loan.
Back in April, the company came to new terms with the Department of Energy’s in-house bank over a nearly $6.6 billion loan to build its new Georgia factory, which is supposed to manufacture the company’s new line of cheaper R2 SUV and R3 crossovers. That federal loan — initially negotiated in the Biden administration’s final days — was downsized to $4.5 billion under the new Trump-era terms, but also rewritten to let the automaker draw more money from the deal faster. (Rivian is already making the R2 at its existing factory in Normal, Illinois, but the Georgia factory should have about 40% more capacity than that plant.)
As part of any Energy Department loan — as in any project finance transaction — borrowers have to hold a certain amount of cash in escrow and reserve accounts to secure against a deal failing. Now Rivian can fund that money without tapping its cash on hand further. The new share offering is supposed to price this evening, suggesting that despite today’s slide, the company could raise more than $1 billion from the sale. Rivian’s stock is now trading roughly where it stood a month ago.
The upshot of all of this: With the loan secured, serious building efforts could finally start soon on the automaker’s second factory. (The automaker technically broke ground in September, but has yet to begin meaningful construction.)
“We’re setting up to go vertical in the second half of this year (a.k.a. steel sticking out of the ground) but we have said previously that we expect to draw on the loan for the first time by early 2027,” Peebles Squire, a Rivian spokesman, told me in an email. “Factory timeline is production of vehicles to begin in late 2028.”
(Energy Department loans work on a reimbursement basis, so the automaker will need to begin spending on the factory before it can claim the money.)
Though Rivian is among the most successful of the U.S. electric vehicle startups, it wasn’t completely clear after President Trump took office whether the automaker would survive its trek through the valley of death. It’s still not certain, of course. But positive reviews for the R2, a $6 billion deal with Volkswagen, and its significant Sun Belt factory nearing construction all augur well for the country’s most famous EV startup not run by Elon Musk.
“It’s got nothing to do with technology. It’s nothing to do with execution capability. It’s purely due to access to capital.”
Ever since Trump reentered the White House, Europe has been a safe haven for U.S. climate tech companies fleeing an increasingly hostile policy environment. Through strong carbon pricing and stable regulations, the bloc has created demand for still-experimental technologies such as green hydrogen, thermal energy storage, low-carbon building materials, and sustainable fuels.
And yet at the same time, Europe has struggled to finance many of its own climate tech startups as they enter the capital-intensive scale-up phase. What gives?
The problem is not a lack of startups or capital. European firms raised $61 billion for climate-focused funds last year, far outpacing those in the U.S., which brought in $37 billion, according to Sightline Climate. The problem is that almost all of that European money flows to infrastructure and private equity investors backing more mature technologies. Early-stage startups also enjoy relatively strong backing, but the market starves the growth-stage middle.
The issue is both cultural and structural: Most of the bloc’s investors are unaccustomed to making the high-risk, high-reward bets required to scale climate tech. They also often can’t access tools like loan and equity guarantees, which remain limited in Europe, nor are there the institutional limited partners and growth-stage co-investors that could help de-risk those investments.
“It’s got nothing to do with technology. It’s nothing to do with execution capability. It’s purely due to access to capital,” Craig Douglas, a founding partner at the Berlin-based multi-stage venture firm World Fund, told me. That means companies that have outgrown early-stage financing but are still considered too small or too risky for larger institutional investors often either shutter or seek capital abroad. Logically, if given the chance, most startups choose the latter.
“You’re allowing U.S. investors to cherry pick European assets,” Douglas told me. The result? “European technologies and European companies that are successful end up enriching American pension funds rather than European pension funds.”
Ioannis Ioannou, an associate professor of strategy and entrepreneurship at the London Business School, told me that the consequences extend beyond the purely financial, emphasizing that Europe runs a strategic risk by relying on foreign capital for its climate tech scale-up. “It means you lose the supply chains. You lose the skills. You lose the fine manufacturing capabilities. You lose the so-called green jobs.”
Douglas and the other specialists in European climate finance I spoke with emphasized that the ever-ominous “missing middle” funding gap is particularly pronounced in Europe. A report Douglas co-authored earlier this year, aptly titled “The Series B Funding Gap In European Climate Tech,” quantifies the problem. While 25% of U.S. climate tech companies that raised a seed round from 2010 to 2020 had moved on to secure a Series B by the first half of last year — regardless of what country the capital came from — only 15% of European companies were able to do the same. That has created a growing backlog of startups stuck in a financing limbo: The lineup of European companies looking to raise a Series B grew from 220 in 2020 to 533 in the first half of last year.
While smaller climate tech funds in Europe and the U.S. have raised similar amounts of funding for early-stage startups — $18.5 billion in Europe versus $20.2 billion in the U.S. from 2020 through the first half of 2025 — the gap at the larger end of the market is stark. The U.S closed 29 funds of at least $500 million or more, compared with just 11 in Europe. These larger funds are the ones capable of writing the $25 million to $100 million checks companies desperately need to commercialize and scale. As Douglas’ report notes, fewer than 20% of European climate funds are pursuing a growth strategy, with over 70% making early-stage investments only.
“When we raised World Fund One, we were the largest [debut] climate fund in Europe, and we’re a €300 million fund. That’s nuts,” Douglas told me. World Fund aims to help companies “reach growth-investor readiness” by supporting startups from their seed through Series B, a model Douglas would like to see replicated throughout the region. “We need another 20 World Funds out there in the market to start filling this capital shortfall,” he told me. The firm announced last February that it’s raising a second, €500 million fund, but that’s yet to close.
One of the primary reasons European growth-stage investors have less capital to deploy comes down to the structure of European financial markets, which remain heavily reliant on bank lending rather than higher-risk equity investments. As a result, institutional investors like pension funds, insurers, and endowments never built the habit of investing in venture capital, which shows up when comparing the LP bases across the two regions: In the U.S., about 72% of VC funding comes from private institutional investors, compared with just 30% in Europe. Public money, much of it from the European Investment Fund, helps bridge the gap, but it simply cannot match the scale of private institutions.
Pension funds are a telling case. They’re among the largest sources of venture capital in the U.S., allocating nearly 2% of their assets to VC. But in the EU, they allot just 0.018% — roughly 100 times less. And because the U.S. also has far more money sitting in pension funds than Europe does, this makes the gap in actual dollars reaching startups wider still. Without that deep pool of institutional funding, Europe struggles to support the $500 million- to $1 billion-plus funds that would have the wherewithal to lead growth-stage rounds.
The result is a self-reinforcing cycle. Large growth funds require large institutional backers, but precisely because European pension funds and other institutional investors haven’t stepped up, the venture market remains too small to absorb the kinds of $100 million-plus commitments pension investors managing billions of dollars typically want to make. “They don’t see [venture] as an asset class that they can invest in,” Douglas told me. “But the reason that it doesn’t exist is because they’re not investing themselves in that asset class.”
If there’s one thing I learned from my reporting, it’s that white these problems run deep, Europe is hardly standing still. Policymakers and investors are well aware of the disconnect and are now experimenting with strategies to close the scale-up gap and affirm the region’s position as a leader in climate innovation.
To attract more institutional investment, for example, a growing number of initiatives aim to create “funds of funds” and other government-backed structures that pool money from pension funds, insurers, banks, foundations, and other large investors. The fund-of-funds structure lets an institution make a single, large commitment; then, intermediary asset managers break that capital into smaller chunks and invest it across multiple venture funds. This gives large-ticket investors the scale and diversification they want without requiring them to conduct due diligence on dozens of small venture funds; venture managers, in turn, gain access to much larger pools of capital.
Germany’s Wachstumsfonds Deutschland, for example, is a €1 billion fund-of-funds backed by more than 20 investors — including insurers, pension funds, and large family offices — that invests across the German and broader European VC ecosystem, with a focus on growth-stage capital. The EU’s European Tech Champions Initiative follows a similar model. The European Investment Bank and six member-states launched the initiative in 2023 with €3.9 billion to back regional growth-stage VC funds. Now it’s raising a second tranche of money — targeting €15 billion — and is bringing in private institutional capital for the first time.
Europe’s member states have also pushed institutional investors toward coordinated capital commitments in recent years, with France’s Tibi initiative serving as the model. Launched in 2019, it tasks the French government with vetting venture and growth funds, with those that qualify becoming eligible for backing from initiative’s signatories, primarily insurers and some pension funds. The program has attracted about €31 billion in commitments to date. Germany adopted a similar approach with its WIN initiative, which has now secured €12 billion in pledges from more than 30 major corporations — including Deutsche Bank, BlackRock, and Henkel — to invest in the country’s venture ecosystem by 2030.
The Irish Venture Capital Association has proposed a similar model, while Tibi’s founder — the economist Philippe Tibi himself — has been on a tour essentially pitching the idea across the bloc. But Ioannou isn’t convinced that creating country-specific Tibi-style commitments is the most efficient way for the region to scale climate tech.
“I’m not sure that fragmentation will actually solve the problem,” he told me. “Maybe it will be better if all that capital came into one larger fund, whereby the scale-ups wouldn’t have to deal with country level fragmentation, regulations, jurisdictions, legal, and all that kind of stuff.”
That’s the idea behind the new €5 billion pan-EU Scaleup Europe Fund, which is designed to invest directly in European deep-tech startups — climate tech very much included — rather than through venture funds. Announced last year, the fund has already secured roughly €2.5 billion in capital commitments from both the European Commission and private institutional investors, with a second fundraising round planned for the second half of this year. EQT, Europe’s largest private-markets investor, will manage the funds, ultimately deciding which growth-stage companies to back.
“Everything happened so quickly, from agreeing to it to executing on it to allocating it,” Douglas told me. “In effect, it happened in less than a year, which in the European context is crazy.”
The idea is to replicate what the combination of U.S. federal support and deep private capital markets has accomplished, Dimitri Colin, a policy officer at the cleantech policy and advocacy group Cleantech for Europe, told me. “The whole idea is to bring what worked in the U.S. into European public financing policies,” he said. Colin extolled the virtues of the Biden-era Loan Programs Office, as well as the efficacy of other Inflation Reduction Act-fueled efforts such as generous production tax credits when it comes to derisking investment in first-of-a-kind tech.
In our interview as well as in a recent report, Colin argued that EU funding should move from prioritizing grants to loan and equity guarantees in its forthcoming budget for the years 2028 through 2034. That’s because guarantees have proven far more effective than government grants at bringing private investors into climate tech, Colin told me. According to his report, every euro of grants or equity capital channeled through the VC arm of the European Innovation Council yields about €3 in additional investment. That’s nothing to scoff at, but it pales in comparison with InvestEU, the bloc’s €26.2 billion investment guarantee program. Every euro of guarantees from the latter attracts nearly €14.80 in private follow-on capital.
“The main idea behind the whole budget should be to focus on the leverage effect,” Colin told me, referring to how much additional private funding government backing generates. “How can the little public money that we have in Europe — because the fiscal environment is, of course, very constrained — more easily mobilize private money? That’s what the LPO did well.”
Colin also wants to change the EU’s public funding rules to make it easier to subsidize ongoing operational expenses for early-stage cleantech facilities, similar in effect to U.S. production tax credits. Currently, European policymakers often structure public support for these projects as capex grants paid out after construction is complete. This type of support is more difficult for private investors to underwrite since it doesn’t directly improve the plant’s ongoing operating economics, one of the risks investors care about most.
Getting these financing structures right is a matter of life or death for many of Europe’s most promising climate tech industries. Douglas points to batteries, critical minerals, semiconductors, and green molecules as sectors with the technological readiness to scale domestically — but not yet the capital. “One of the major risks in every sector we know is who’s going to be there, who’s going to be able to go with us on that journey to make sure the company has the capital to be successful,” he told me. Still, he sees reason for optimism. Because if there’s one thing that can be said about the E.U. at this moment, it’s that “they’re definitely taking it seriously.”
“The perfect solution doesn’t exist,” Colin told me. “We need to align the funding models, we need public de-risking tools, but we need also a true industrial strategy, China has done that, the US has done that with the IRA,” he explained. Now it’s Europe’s turn.
Not going to lie, I didn’t see this coming.
Tesla just finished its strongest showing in years. In the second quarter of 2026, the company sold about 480,000 vehicles around the world — well over stock market projections of about 400,000 EVs. Tesla’s sales mark a full 25% year-over-year increase from the second quarter of last year.
If you’re surprised by this news, you’re not alone. Sales of Elon Musk’s EVs had been trending downward over the past few years following a series of self-inflicted wounds. The Cybertruck was a bomb. Tesla appeared to be interested only in building the self-driving cars and autonomous robots of the future, not the electric vehicles of today. Musk’s associations with President Trump and off-putting online politics alienated potential customers everywhere.
Yet here we are. So what happened?
European gas prices, for one thing. Tesla sales actually continued to fall in the U.S., where the electric car market as a whole still hasn’t recovered from tariffs confusion, the loss of federal subsidies, and other chaotic conditions over the past year. Tesla’s rally came instead from China and, interestingly, Europe: Registrations rose 39% in Denmark, 56% in Sweden, and 43% in Portugal and Italy.
It wasn’t so long ago that Musk’s politics had reportedly cratered interest in his cars in those countries. But European gas prices, which are typically much higher than those in the U.S., have also soared because of oil shocks related to the Iran War. EV interest, then, is up — so high that lots of buyers are willing to look past the personality of Tesla’s chief. (It doesn’t hurt that Tesla introduced less-expensive versions of both Model 3 and Model Y, with remarkably cheap leases and loans, to Europe this year to help overcome its struggles there.)
In China, meanwhile, Tesla has had something else up its sleeve to buoy sales. We’ve repeatedly noted the contraction of the company’s EV lineup: With the failure of the Cybertruck as well as the outright cancellation of the older and slow-selling Model S and Model X — the electric cars that pushed Tesla into the mainstream in the 2010s — the brand gets nearly all of its sales (more than 97% in Q2) from just two cars, the Model 3 sedan and Model Y crossover. And there are no signs it has an all-new mass-market car coming soon.
Instead, Tesla cobbled one together by making a new version of an existing car. In China, Musk has been selling the Model Y L, a version of his crossover with its platform stretched out by 6 inches to cram in an extra row of seats. (Tesla has offered a seven-seat version of its ordinary Model Y, but the two little seats in the back had just 25 inches of legroom compared to the 31 inches in this new version.) As a three-row SUV, the longer Model Y lets Tesla compete in a space that it vacated when it killed off the giant, expensive, gullwing-doored Model X. And as of last week, Model Y L is available in the U.S. Tesla hopes the vehicle can lead to a reversal of its sinking fortunes here, where its EV sales shrank by 20% in the second quarter.
Truthfully, the car is a bit of a kluge. Rear seats often require a compromise on comfort and space. In the case of the Model Y L, Jalopnik notes that even with the 6 inches added to the wheelbase, Tesla’s signature sloping roof doesn’t leave much headroom for the occupants of the way-back. Boxier EVs that were built to be three rows to begin with, like the Hyundai Ioniq 9, Kia EV9, and Rivian R1S, are more pleasant for the fifth and sixth passengers. Nevertheless, those who wanted a bigger Tesla at a starting price of around $60,000 can now get one, and that counts.
Model Y L is also a testament to the power of the platform. Yes, building a new vehicle from the ground up would have provided Tesla with a better all-around vehicle than what it got by hacking the Model Y. But the modified Model Y was much faster and cheaper to deliver, providing an entry into a popular segment of the car market just at the moment Tesla needed to right the ship.
Doing more with less, like creating a three-row EV on the platform of your two-row car, looks primed to become a big part of the future of electric vehicles. That’s particularly true when it comes to growing adoption in America, where legacy automakers and startups alike are trying to simplify manufacturing to bring down costs. The solution to get to market for a company like Honda was simply to borrow General Motors’ EV platform and build its first EV on top of it. Rivian has said it has no plans to sell a pickup truck on its new R2 platform the way it has with its original vehicle, but it absolutely could — and arguably should — if market conditions suddenly made such an EV pickup a hot item.