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Tesla’s manufacturing advantage lies in legacy auto’s stranded assets
Tesla’s focus on manufacturing has solved a vast number of issues that the electric automaker has encountered in its first few years of mass-scale vehicle production. With only two operational vehicle production facilities and several more on the way, Tesla’s biggest advantage in production doesn’t necessarily come down to efficiencies and solving bottlenecks. Instead, it has to do with something completely out of its control: Legacy Auto’s stranded assets.
Large vehicle manufacturers have pumped out millions of vehicles per year in sometimes between 50 and 100, sometimes more, global facilities. Volkswagen, for example, has 136 production plants across the world. This massive production operation lead to 9.3 million VW cars being delivered in 2020, a slight decrease from the nearly 11 million in 2019. However, the COVID-19 pandemic surely wiped away some of its productivity and sales.
But Volkswagen is also in limbo, much like many other automakers. Despite being one of the world’s top brands, a decline is on the way if the German company can’t figure out its electric car software issues. Even if it does, it still has 136 production plants and only a few of them build electric cars. However, all of the company’s plants will need to be transitioned into EV production facilities, a far cry away from the current gas-powered powertrains it currently builds at 98% of its properties.
It’s not just Volkswagen
Mercedes-Benz has 93 locations in 17 countries. BMW has 31 facilities in 15 countries. Ford has 65 plants all across the world.
These plants have been everything to the world’s largest car brands for decades. While the automotive industry has been powered on petrol for 99% of the auto industry’s history, EVs are slowly but surely making their way into the picture. Eventually, with so many plants for the legacy automakers, they will all build electric powertrains. But unfortunately, what has been a strength for so many car companies in the past will soon become a burden as EVs take over market share, become more appealing and more sought after by consumers, and gas cars are few and far between because electrification has taken over. The biggest, most successful, most popular badges on vehicles worldwide will soon have a serious problem on their hands if they do not think about a plan to transition these facilities into EV manufacturing plants.
Time is of the essence
Volkswagen did complete ICE production at its Zwickau plant in Mosel, Germany, in June 2020. After the company announced that the final gas-powered engine had rolled off production lines at the plant, it then came down to training all technicians, assembly workers, and production engineers on how to deal with electric powertrains.
The company stated that 20,500 total days of training time would be given to those who hold jobs at Zwickau, giving the employees no reservations about the direction the German automaker was headed toward. The entire process of transitioning the plant took six to eight months.
This is great, but when a company has 136 plants, that’s a lot of time, many people to train, and a lot of money to spend. Eventually, the plants that have pumped out billions of dollars worth of ICE cars will be rendered useless unless companies begin to update their hardware, train the employees, and prepare for an electric future.
Is delaying EV projects a result of stranded assets?
Companies are smart; there are plenty of reasons why these car companies have long been at the top of the industry. Knowing that the trillions of dollars that they have pumped into building a global powerhouse of production facilities could all be a waste as ICE cars are slowly being phased out is alarming, but perhaps this is why so many companies have avoided focusing on EVs: the thought of modifying so many plants is terrifying.
Nevertheless, it will need to be done eventually. But right now, especially in such a trying economic time, manufacturers are trying to save their faces and their balance sheets by keeping this narrative that EVs are not that important, that gas cars will still dominate, and that consumers should continue to buy petrol-powered machines. Manufacturers continue to push consumers in a direction, even if they know it doesn’t align with climate issues or sustainability because they know that their plants will need major updating. This takes time and money, and car companies don’t have a lot of that.
Tesla Model Y loses another rival after BMW cancels iX3’s US launch
For these legacy automakers, it makes more sense to push gas cars onto consumers and set aside any notions of an EV being a better option, simply because they haven’t made one that is worth a damn…yet.
How is this Tesla’s Advantage?
Tesla is sitting in a prime position to dominate the EV sector for years to come. It is no secret that the company’s vehicles are the highest quality electric cars on the planet; range and performance and contributed to this for several years. However, EVs are the way of the future, and while Tesla has to build new plants to build EVs, it isn’t building them at the massive scale that ICE manufacturers are building their cars. EVs are still a relatively small portion of the worldwide automotive market, and Tesla’s growth is on par with the industry as a whole, mostly because they are controlling it for the time being.
Tesla won’t have to build 136 plants. It won’t have to transition old factories that are pumping out useless powertrains. It will have to build more, but that won’t halt production altogether, especially considering the two factories it has now are handling demand without much of an issue.
Tesla’s plants are going to be assets for centuries to come. Meanwhile, other automakers have focused on the global scaling of their vehicle fleets, only realizing that their strategically placed production plants will all be useless in a few years unless companies begin transitioning their once high-powered manufacturing facilities to EV-based production lines.
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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
