Tesla’s potential as a future battery supplier for other automakers is being paved by the ongoing struggles of the company’s rivals today. This idea is becoming more and more feasible as more and more veteran automakers experience battery-related challenges in their respective electric car programs.
Building electric cars is no easy task. As evidenced by the issues plaguing the rollout of the mass-market Volkswagen ID.3, making good electric vehicles is not just a matter of stuffing an electric motor and batteries in an existing platform for an internal combustion car. Making EVs, especially good, high-performing ones like the Tesla Model 3, requires mastery of a different set of skills, such as software management and battery optimizations.
The latter is where a vast divide exists between Tesla and legacy automakers today. Tesla utilizes its own proprietary battery tech for its vehicles. The 2170 cells for its Model 3 sedan are even being produced at Giga Nevada, a massive factory that is poised to become one of the largest in the world by footprint once it’s completed. Veteran automakers, on the other hand, rely on suppliers such as LG Chem to supply their EVs’ batteries.
LG Chem supplies cells to several automakers, including Audi and Jaguar, whose e-tron and I-PACE both utilize the company’s batteries. Rivian, which uses 2170 cells for the R1T pickup and the R1S SUV, source their cells from the South Korean firm as well. More recently, even startup Lucid Motors, which is reportedly on the cusp of releasing its first vehicle, the Air, also announced that it would be sourcing cells from LG Chem. This is great for LG Chem, as it validates the quality and capabilities of its batteries, but it also does not bode well for all the companies looking to acquire adequate battery supply for their electric cars.
As it is, LG Chem appears to be having difficulties meeting the demand for its vehicles already. Shortages of cells from the battery manufacturer have reportedly become the cause for the recent halts in the Audi e-tron and the Jaguar I-PACE’s production. And this is just with premium-priced, mid-volume SUVs. When high-volume vehicles enter the market, such as the Volkswagen ID.3 (which also gets some of its cells from LG Chem), the South Korean firm will likely find it even more challenging to supply batteries to all its clients.
This supply issue could become a serious challenge to the electric car revolution. With this in mind, and with even more electric cars coming in the next few years, a need for another battery supplier emerges. This is where Tesla comes in. Tesla has been expanding its business to not just focus on building electric cars, as evidenced by the company’s energy and battery storage initiatives. Considering Tesla’s experience in building EVs, as well as the industry-leading quality of its batteries, the company may very well be poised to become one of the leading suppliers of cells for other electric car makers.
Interestingly enough, CEO Elon Musk has mentioned the possibility of Tesla serving as a supplier of batteries and powertrains to other automakers in the past. This was explained by Musk himself during the Q3 2019 earnings call. “It would be consistent with the mission of Tesla to help other car companies with electric vehicles on the battery and powertrain front, possibly on other fronts. So it’s something we’re open to. We’re definitely open to supplying batteries and powertrains and perhaps other things to other car companies,” he said.
Fiat-Chrysler CEO Steve Manley also suggested the idea during a Q&A session. Speaking about the company’s electric vehicle strategy, Manley mentioned that Fiat-Chrysler would likely be purchasing key electric car components from the Silicon Valley-based company. “It would be wrong of me to say no,” Manley said, adding that batteries and drivetrains will likely be among the parts that FCA will be purchasing from Tesla. The CEO also expressed the possibility of FCA acquiring a “skateboard” platform from Tesla, which it would use for its own vehicles.
Tesla is at a point where its lead in the electric car space is undeniable. The company is also at a point where its manufacturing systems are more refined than before. Tesla may thus be reaching a stage where it is large and robust enough to support other automakers that are also adopting electric cars. As veteran carmakers transition into EVs, those who can secure battery supply from Tesla will likely be the ones that will survive what could very well be a painful and costly move towards sustainability.
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
