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In China, EVs are now cheaper than gas cars. In the U.S., the Big Three still haven’t closed a premium that’s $14,000 per vehicle

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China has now crossed a massive benchmark in the electric-car race: battery-powered vehicles are now cheaper than their gas counterparts. In the U.S., by contrast, EVs still face a steep premium; roughly $14,000 on average, according to new data from JATO dynamics, an automotive data analytics firm. 

Dan Sperling, founding director of the UC Davis Institute of Transportation Studies, told Fortune he thought the $14,000 figure was overestimated – but conceded that there was a strong, real gap. 

That chasm reflects more than just consumer preferences, Sperling said. In China, there’s also been a “frenzy of competition” to make low-cost EVs, with the heads of different provinces trying to oust each other for the top spot. Labor and battery costs are also lower in China, thanks to its domestic supply chains. 

“People talk about subsidies, but at this point the subsidy effect is pretty minor,” he added.

The average price of a Chinese internal combustion engine is €22,500 (approximately $26,205), whereas a battery electric vehicle costs 3% less, or €21,900 ( $25,509) on average, according to JATO. That’s a big change from just five years ago, when gas EVs cost 10% more. 

The results are visible everywhere. Leading Chinese automaker BYD sold more than 4 million cars last year—10 times what it sold in 2020—and now dominates roads across the world, from Bogotá to Budapest. In Europe, its compact Dolphin model retails for under €20,000 ($23,200), roughly half the price of Tesla’s Model 3. 

BYD’s relentless pace of new launches, tight control of its battery supply chain, and willingness to sacrifice short-term profits are overwhelming legacy automakers, analysts previously told Fortune. China’s trade partners also argue that Beijing is fueling overproduction that’s flooding export markets with cut-rate EVs.

Meanwhile, Sperling warned that the U.S. is too caught up playing tariff games to develop its own EV industry. His words echoed the old adage that the best defense is offense. Tariffs of more than 100% have kept Chinese cars out of the American market, a protection that may buy time, but also risks making U.S. automakers complacent. 

“There’s a long history showing that absolute protectionism undermines an industry rather than supports it,” he said.

Without the pressure of direct competition, the Big Three of the automotive industry – GM, Ford and Stellantis – have less incentive to innovate with EVs, Sperling said. 

Still, the U.S. has also improved EV affordability relative to gas cars over the last five years, according to the JATO data. In 2019, gas cars were 44% cheaper than electric cars, and in 2024 the gap narrowed to 31%. 

But while progress is being made, Sperling said that the U.S. is missing the kind of structural policies – tax credits, purchase mandates, subsidies generally – that spur automakers to build EVs at scale. 

The struggles of the Big Three

To be sure, automakers are attempting large EV pushes, even as EV-related losses pile up. 

Ford announced a new $5 billion EV initiative this month, where the automaker will reconfigure its Kentucky plant to build a $30,000 electric pickup by 2027, an ambitious attempt to build EVs at scale. 

Analysts say it could either mark a historic reinvention or sink billions more into an already money-losing division: Ford’s EV arm has racked up more than $12 billion in losses since early 2023.

GM also announced in June that it’s investing $4 billion in domestic manufacturing, including its EV wing. In the last quarter of 2024, GM’s electric portfolio became “value profit positive,” meaning that for each electric vehicle sale, GM covers the costs of making each car (but not the fixed costs involved, such as the labor or the EV plants).

GM has the second most robust EV portfolio in the American market, sitting behind Tesla in terms of total sales. However, James Picariello, senior automotive research analyst at BNP Paribas Exane, previously told Fortune that he estimated GM lost some $2.5 billion on the 189,000 electric vehicles it built and sold to dealerships last year. 

Earlier this year, GM said on an earnings call that it hoped to bring about $2 billion in savings improvement for its EVs.  

Stellantis has also stumbled in its EV transition, posting a €2.3 billion net loss in the first half of 2025 as operating margins shrank to just 0.7%. The automaker has struggled to spark U.S. demand, slashing prices on electric models like the Jeep Wagoneer S to move inventory. 

At the same time, tariffs and weak demand have pushed Stellantis to extend furloughs at its Termoli site in Italy. Yet the company is still pressing forward: it unveiled the STLA Frame platform, a flexible architecture supporting gas, hybrid, EV, and hydrogen drivetrains. Additionally, Stellantis partnered with China’s Leapmotor in hopes of staying in the game, investing €1.5 billion for a 21% stake in the company. Stellantis hopes that its incumbent advantage and respected brand can combine with the Leapmotor’s innovation to deliver a more affordable EV. 

Industrial policy failures

For industry experts, part of the price gap is clearly attributable to the U.S. failure to promote electric vehicles with policies. President Donald Trump has flip-flopped on his opinion of EVs, but his Big, Beautiful Bill act ended tax credits for new, used and leased EVs. 

Meanwhile, China’s decades of forced joint ventures – requiring foreign automakers to partner with domestic automakers in EV manufacturing –  built a workforce fluent in EV technology and software, Sterling said. For America, he suggested a version of that approach: “encourage joint venture investments” to accelerate the know-how needed to catch up, like the one that Stellantis is doing with China.

“You create a whole cadre of technicians and engineers and workers that are adept with the technology,” Sterling said. “Detroit is badly lacking that.”

He rejected the idea that Detroit is doomed, but stressed it depends entirely on policy. In his view, legacy U.S. automakers are currently coasting on SUVs and pickups, without making the investments in EVs or software that Chinese rivals have already mastered.

“If the U.S. continues to keep out the Chinese and discourages electric vehicles, it will take decades to catch up,” Sterling said. “But if policies change, yes, it can catch up for sure.”



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Databricks CEO Ali Ghodsi says company will be worth $1 trillion by doing these three things

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Ali Ghodsi, the CEO and cofounder of data intelligence company Databricks, is betting his privately held startup can be the latest addition to the trillion-dollar valuation club.

In August, Ghodsi told the Wall Street Journalthat he believed Databricks, which is reportedly in talks toraise funding at a $134 billion valuation, had “a shot to be a trillion-dollar company.” At Fortune’s Brainstorm AI conference in San Francisco on Tuesday, he explained how it would happen, laying out a “trifecta” of growth areas to ignite the company’s next leg of growth.

The first is entering the transactional database market, the traditional territory of large enterprise players like Oracle, which Ghodsi said has remained largely “the same for 40 years.” Earlier this year, Databricks launched a link-based offering called Lakehouse, which aims to combine the capabilities of traditional databases with modern data lake storage, in an attempt to capture some of this market.

The company is also seeing growth driven by the rise of AI-powered coding. “Over 80% of the databases that are being launched on Databricks are not being launched by humans, but by AI agents,” Ghodsi said. As developers use AI tools for “vibe coding”—rapidly building software with natural language commands—those applications automatically need databases, and Ghodsi they’re defaulting to Databricks’ platform.

“That’s just a huge growth factor for us. I think if we just did that, we could maybe get all the way to a trillion,” he said.

The second growth area is Agentbricks, Databricks’ platform for building AI agents that work with proprietary enterprise data.

“It’s a commodity now to have AI that has general knowledge,” Ghodsi said, but “it’s very elusive to get AI that really works and understands that proprietary data that’s inside enterprise.” He pointed to the Royal Bank of Canada, which built AI agents for equity research analysts, as an example. Ghodsi said these agents were able to automatically gather earnings calls and company information to assemble research reports, reducing “many days’ worth of work down to minutes.”

And finally, the third piece to Ghodsi’s puzzle involves building applications on top of this infrastructure, with developers using AI tools to quickly build applications that run on Lakehouse and which are then powered by AI agents. “To get the trifecta is also to have apps on top of this. Now you have apps that are vibe coded with the database, Lakehouse, and with agents,” Ghodsi said. “Those are three new vectors for us.”

Ghodsi did not provide a timeframe for attaining the trillion-dollar goal. Currently, only a handful of companies have achieved the milestone, all of them as publicly traded companies. In the tech industry, only big tech giants like Apple, Microsoft, Nvidia, Alphabet, Amazon, and Meta have managed to cross the trillion-dollar threshold.

To reach this level would require Databricks, which is widely expected to go public sometime in early 2026, to grow its valuation roughly sevenfold from its current reported level. Part of this journey will likely also include the expected IPO, Ghodsi said.

“There are huge advantages and pros and cons. That’s why we’re not super religious about it,” Ghodsi said when asked about a potential IPO. “We will go public at some point. But to us, it’s not a really big deal.”

Could the company IPO next year? Maybe, replied Ghodsi.



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New contract shows Palantir working on tech platform for another federal agency that works with ICE

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Palantir, the artificial intelligence and data analytics company, has quietly started working on a tech platform for a federal immigration agency that has referred dozens of individuals to U.S. Immigration and Customs Enforcement for potential enforcement since September.

The U.S. Citizenship and Immigration Services agency—which handles services including citizenship applications, family immigration, adoptions, and work permits for non-citizens—started the contract with Palantir at the end of October, and is paying the data analytics company to implement “Phase 0” of a “vetting of wedding-based schemes,” or “VOWS” platform, according to the federal contract, which was posted to the U.S. government website and reviewed by Fortune.

The contract is small—less than $100,000—and details of what exactly the new platform entails are thin. The contract itself offers few details, apart from the general description of the platform (“vetting of wedding-based schemes”) and an estimate that the completion of the contract would be Dec. 9.Palantir declined to comment on the contract or nature of the work, and USCIS did not respond to requests for comment for this story.

But the contract is notable, nonetheless, as it marks the beginning of a new relationship between USCIS and Palantir, which has had longstanding contracts with ICE, another agency of the Department of Homeland Security, since at least 2011. The description of the contract suggests that the “VOWS” platform may very well be focused on marriage fraud and related to USCIS’ recent stated effort to drill down on duplicity in applications for marriage and family-based petitions, employment authorizations, and parole-related requests.

USCIS has been outspoken about its recent collaboration with ICE. Over nine days in September, USCIS announced that it worked with ICE and the Federal Bureau of Investigation to conduct what it called “Operation Twin Shield” in the Minneapolis-St. Paul area, where immigration officials investigated potential cases of fraud in immigration benefit applications the agency had received. The agency reported that its officers referred 42 cases to ICE over the period. In a statement published to the USCIS website shortly after the operation, USCIS director Joseph Edlow said his agency was “declaring an all-out war on immigration fraud” and that it would “relentlessly pursue everyone involved in undermining the integrity of our immigration system and laws.” 

“Under President Trump, we will leave no stone unturned,” he said.

Earlier this year, USCIS rolled out updates to its policy requirements for marriage-based green cards, which have included more details of relationship evidence and stricter interview requirements.

While Palantir has always been a controversial company—and one that tends to lean into that reputation no less—the new contract with USCIS is likely to lead to more public scrutiny. Backlash over Palantir’s contracts with ICE have intensified this year amid the Trump Administration’s crackdown on immigration and aggressive tactics used by ICE to detain immigrants that have gone viral on social media. Not to mention, Palantir inked a $30 million contract with ICE earlier this year to pilot a system that will track individuals who have elected to self-deport and help ICE with targeting and enforcement prioritization. There has been pushback from current and former employees of the company alike over contracts the company has with ICE and Israel.

In a recent interview at the New York Times DealBook Summit, Karp was asked on stage about Palantir’s work with ICE and later what Karp thought, from a moral standpoint, about families getting separated by ICE. “Of course I don’t like that, right? No one likes that. No American. This is the fairest, least bigoted, most open-minded culture in the world,” Karp said. But he said he cared about two issues politically: immigration and “re-establishing the deterrent capacity of America without being a colonialist neocon view. On those two issues, this president has performed.”



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CoreWeave CEO: Despite see-sawing stock, IPO was ‘incredibly successful’ amid challenges of tariff timing

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CoreWeave has been rocked by dizzying stock swings—with its stock currently trading 52% below its post-IPO high—and a frequent target of market commentators, but CEO Michael Intrator says the company’s move to the public markets has been “incredibly successful. And he takes the public’s mixed reaction in stride, given the novelty of CoreWeave’s “neocloud” business which competes with established cloud providers like Amazon AWS and Google Cloud.

“When you introduce new models, introduce a new way of doing business, disrupt what has been a static environment, it’s going to take some people some time,” Intrator said Tuesday at Fortune’s Brainstorm AI conference in San Francisco. But, he added, more people are beginning to understand the CoreWeave’s business model.

“We came out into one of the most challenging environments,” Intrator said of CoreWeave’s March IPO, which occurred very close to President Trump’s “Liberation Day” tariffs in April. “In spite of the incredible headwinds, we’re able to launch a successful IPO.”

CoreWeave, which priced its IPO at $40 per share, has experienced frequent severe up-and-down price swings in the eight months since its public market debut. At its closing price of $90.66 on Tuesday, the stock remains well above its IPO price.

As Fortune reported last month, CoreWeave’s rapid rise has been fueled by an aggressive, debt-heavy strategy to stand up data centers at unprecedented speed for AI customers. And for now, the bet is still paying off. In its third-quarter results released in November, the company said its revenue backlog nearly doubled in a single quarter—to $55.6 billion from $30 billion—reflecting long-term commitments from marquee clients including Meta, OpenAI, and French AI startup Poolside. Both earnings and revenue came in ahead of Wall Street expectations.

But the numbers were not all celebratory. CoreWeave disclosed a further increase in the debt it has taken on to finance its expansion, and it revised its full-year revenue outlook downward—suggesting that, even with historic demand in the pipeline.

With media headlines calling CoreWeave a “ticking time bomb,” with critics calling out insider stock sales, circular financing accusations and an overreliance on Nvidia, Intrator was asked whether he felt CoreWeave was misunderstood.

“Look, we built a company that is challenging one of the most stable businesses that exist—that cloud business, these three massive players,” he said, referring to AWS, Microsoft Azure and Google Cloud.  I feel like it’s incumbent on CoreWeave to introduce a new business model on how the cloud is going to be built and run. And that’s what we’re doing.” 

He repeatedly framed CoreWeave not as a GPU reseller or traditional data-center operator but as a company purpose-built from scratch to deliver high-performance, parallelized computing for AI workloads. That focus, he said, means designing proprietary software that orchestrates GPUs, building and colocating its own infrastructure, and moving “up the stack” through acquisitions such as Weights & Biases and OpenPipe.

Intrator also defended the company’s debt strategy, saying CoreWeave is effectively inventing a new financing model for AI infrastructure. He pointed to the company’s ability to repurpose power sources, rapidly deploy capacity, and finance large-scale clusters as proof it is solving problems incumbents never had to face.

“When I look back at history of the company, it took us a year with with a company investor like Fidelity, before they were like, ‘Oh, I get it,’” he said. “So look, we’ve been public for eight months. I couldn’t be prouder of what the company has accomplished.” 



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