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Stellantis CEO: EV transition costs are “beyond the limits” the auto industry can sustain
Stellantis CEO Carlos Taveres stated that the pressure for legacy automakers to accelerate the shift to electric vehicles could threaten jobs and vehicle quality as traditional carmakers struggle to manage the higher costs of producing EVs.
Taveres said that the costs of transitioning to electric vehicle production are “beyond the limits” of what the current auto industry can sustain in an interview with Reuters Next. He also highlighted the pressure legacy OEMs get from governments and investors to speed up the transition to electric vehicles.
“What has been decided is to impose on the automotive industry electrification that brings 50% additional costs against a conventional vehicle,” he said.” “There is no way we can transfer 50% of additional costs to the final consumer because most parts of the middle class will not be able to pay.”
He noted that traditional automakers would have to either charge higher prices and make fewer cars or accept lower profit margins to keep up with the additional costs of transitioning to electric vehicles. Taveres emphasized that both paths lead to cutbacks.
Many union leaders in Europe and North America agree that thousands of people could lose their jobs if the auto industry transitioned to EV production. US President Joe Biden is trying to tread the line between pushing legacy OEMS towards transitioning to EVs and providing job security in the auto industry.
Biden has openly supported the Detroit Big Three’s — Ford, General Motors, and Stellantis — EV goals, while puzzlingly ignoring Tesla’s role in the current electric vehicle revolution. The US President seems keen on only promoting automakers that are affiliated with unions in his bid to make the United States of America a powerhouse in the global electric vehicle market, all while ignoring the powerhouse that is Tesla, which already operates within the country.
In the summer, the Detroit Big Three announced their commitment to increase each of their electric vehicle sales by about 40% by 2030. Some may argue that the Detroit Big Three’s EV transition goals go against the current tides, considering that a few countries have already committed to banning fossil fuel cars by the end of this decade, while others are seriously considering the move.
In his recent interview, Tavares noted that automakers need time to test and ensure electric vehicle technology works. He said that speeding up the process “is just going to be counterproductive. It will lead to quality problems. It will lead to all sorts of problems.”
So far, Ford seems to be the only automaker in the Detroit Big Three taking serious steps to becoming an electric vehicle producer. The Ford Mustang Mach-E has proven to be quite a favorite amongst the OEM’s customers. The Mustang Mach-E is still far from perfect, though, as some owners do have critiques about the vehicle and its infrastructure support.
However, Ford seems to be failing forward and learning from its mistakes and improving on the fly — similar to Tesla in some ways. As for Stellantis, it has invested €30 billion into its electrification strategy. On Tuesday, the company invested in solid-state battery startup Factorial.
“We can invest more and go deeper in the value chain,” Tavares said. “There may be other (investments) in the near future.”
In July, the company held Stellantis EV Day 2021, where it announced intentions to become a market leader in low emissions vehicles (LEV) by 2030. Stellantis aims to make over 70% of its sales in Europe and 40% in the United States be comprised of LEVs. The company also stated that all 14 of its brands are committed to offering best-in-class fully electrified solutions.
“Over the next five years, we have to digest 10% productivity a year … in an industry which is used to delivering 2 to 3% productivity” improvement, Tavares said.
It wasn’t clear whether he was referring to productivity in electric vehicle development only. Stellantis stills seem adamant in slowly transitioning into an electric vehicle producer. However, the CEO did get one thing right on the bullseye.
“The future will tell us who is going to be able to digest this and who will fail,” Tavares said. “We are putting the industry on the limits.”
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
