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Despite Tesla’s growth, the EV revolution still caught the auto industry off guard
The signs of an EV revolution were all there, but it seems like consumer demand for all-electric vehicles was still able to catch veteran automakers off guard. With Tesla currently commanding about 70% of the United States’ electric vehicle sales in the first half of the year, the race to catch up to the trailblazer is on — but it’s a lot easier said than done.
It’s a pretty insane thought today, but when Tesla announced its plans to build a dedicated battery factory to support the Model 3’s ramp, many were skeptical. Back then, many still questioned if there really was a demand for electric cars. This is not the case anymore today. If auto executives were not sure if there would be buyers for EVs before, now they’re worrying if they can build them fast enough.
Electric cars only account for about 6% of the United States’ overall vehicle sales, but this percentage has tripled in the past two years. Meanwhile, sales of other types of cars have declined, as per insights from research firm Motor Intelligence. This was represented by the fact that five of the six fastest-selling cars in the US were electric or plug-in hybrids. Tesla’s Model Y, a crossover, is on track to become one of the world’s best-selling cars.
All-In on EVs
Veteran automakers have expressed their intention to go all-in on EVs, and some, such as GM CEO Mary Barra, have even stated in the past that she believes General Motors can pass Tesla in the future. The same is true for executives from Ford and Volkswagen. But inasmuch as it’s easy to announce such an ambitious target, accomplishing it is a completely different matter.
GM, for example, started its recent EV push with the GMC Hummer EV and the Cadillac Lyric. GM received a lot of support from the Biden administration for its electric vehicle efforts, so much so that Biden dubbed Barra as a leader who electrified the auto industry. Yet, according to The Wall Street Journal, people familiar with the matter have noted that the production of the Hummer EV and Lyriq is still at rates of less than a dozen a day. This was despite the waiting lists of both vehicles stretching into the tens of thousands.
And it’s not just GM. Ford is somewhat in the same boat. The Ford F-150 Lightning is an acclaimed vehicle, and its order books are extremely long. The demand for the vehicle was so notable that Ford had to double its production target twice. In 2020, the company expected its lightning factory to produce 40,000 of the pickups per year, a target that was doubled last year. This past January, as the order books for the Lightning continued to grow, Ford doubled its target again to 150,000 trucks by summer 2023.
Ford’s head of EV programs Darren Palmer provided an idea of the speed at which Ford had to adjust its Lightning targets. “The cement had barely joined to some of the walls, and we were already expanding,” he said.
A Rush for Supplies
A lot of the challenges faced by veteran automakers were due to a lack of parts from the supply chain, as well as a struggle to secure as many batteries as possible. EVs use more computer chips than combustion-powered cars, which made things very challenging during the chip crisis faced by the entire industry. Electric cars also rely on batteries, so carmakers are now in a battery arms race of sorts in an effort to ensure that their EVs can be ramped.
Ultimately, the Journal noted that automakers are in their current situation because many have lowballed their early EV production estimates. Thus, when electric vehicles took off during the pandemic, many executives in the auto industry were caught off guard. Couple this with the fact that newcomers like Rivian and Lucid are also entering the fray, and the auto industry is looking more and more like it’s in the cusp of some real changes.
In a way, it’s simple. If veteran automakers would like to catch up to Tesla, they have to make electric cars that people want to buy. The success of non-Tesla EVs such as the F-150 Lightning, Mustang Mach-E, and the Hyundai Ioniq 5 show that the EV market has enough space for multiple carmakers. But with demand for EVs increasing now, some automakers may end up watching EV only competitors like Tesla increase their lead in the coming years.
The question of whether there is demand for EVs has long been settled. In a statement to the WSJ, Earl Stewart, a Florida-based Toyota dealer, noted that there’s actually a lot of interest in the bZ4X. However, the vehicle’s availability is just not there. Stewart noted that mass adoption of electric vehicles would need affordable electric cars. That being said, he has already taken the leap to EVs — he currently drives a Tesla Model S Plaid.
“Until they bring the prices down, it will just be people like me who can afford to buy EVs and who want to be the first on the block to drive one,” Stewart said.
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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
