Rivian’s CEO has explained why he and the company aren’t concerned about U.S. President Donald Trump’s electric vehicle (EV) policies, including the repeal of the $7,500 federal tax credit.
During a conversation with Automotive News at Rivian’s opening of a new Space showroom in San Francisco on Thursday, CEO RJ Scaringe said that the company plans to remain a top competitor pushing U.S. electrification, with or without the tax credit or similar battery production incentives. Scaringe highlighted that the credit would be repealed equally for all automakers under the Trump administration, noting that he didn’t start the electric vehicle (EV) maker even knowing what the future landscape for subsidies might look like.
“I don’t think we’re particularly worried about any of it because whatever happens will be equally applied to all,” Scaringe said during the opening event. “I started the company with the view of making highly compelling products and none of my decision to start Rivian had anything to do with what the policy was going to look like.”
However, the Rivian CEO did signal that legacy automakers could be more likely to fund combustion engine development when considering short-term profitability for the next two to three years, though he says this would be mistake for the industry long-term.
“I think in the end it’s sort of like there’s small speed bumps along the way and it’s on us to respond to whatever that environment is,” the CEO said. “We’re really talking about U.S. leadership in the future of technology as it pertains to transportation. This is not a political thing. It’s not like the left wants to move to electrification. It’s that the future of transportation will be electric.”
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“The challenge with some of these short-term changes, for the world and for the U.S. leadership in technology, is that it will cause some manufacturers to invest less in electrification,” Scaringe notes. “And I think that’s probably good for Rivian from a competitive landscape, but bad for the world. If you’re optimizing purely for profitability in the next 2 to 3 years and you’re a traditional legacy manufacturer, you can see how you can very easily make a spreadsheet case of ‘Let’s double down on combustion or hybrids. I think that is a big miscalculation for the long term.”
The news also comes after Rivian gained a $6.6 billion commitment from the Department of Energy to help fund the construction of its upcoming factory in Georgia in November, officially closing on the loan on January 16. Amidst some speculation that the Trump administration could try to cancel the loan, Scaringe highlights that the agreement should already be set in stone, with the company subject to several conditions.
“We signed a legally binding agreement with the Department of Energy, to be clear,” Scaringe adds. “And, of course, that loan has a whole host of conditions that we negotiated over the last couple years.”
Rivian delivered 51,579 last year, marking a slight increase from 50,122 vehicles in 2023. The company also announced a major partnership and $5 billion investment deal with Volkswagen in June, and recent reports suggest that other manufacturers are also considering similar software supply deals with the EV company.
Meanwhile, Rivian and many other small EV makers are still attempting to turn production into profits, with the manufacturers still reporting substantial losses as they attempt to scale output. Many Tesla followers point out how close to bankruptcy the company came during its Model 3 ramp-up, and CEO Elon Musk has repeatedly echoed details about how difficult production is.
Similarly, however, Musk has also aired concerns about the potential for Rivian, Lucid and other growing EV makers to go bankrupt if they aren’t careful with their finances.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla rivals Rivian and Lucid receive harsh prediction from Elon Musk
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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.
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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
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