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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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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
