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Tesla rival Porsche is starting to realize it’s not easy to produce the Taycan
Porsche recently opened reservations for the company’s first all-electric car, the Tesla Model S-rivaling Taycan (formerly known as the Mission E sedan). In an announcement earlier this month, Porsche Managing Director Alexander Pollich stated that the reception to the upcoming vehicle, whose final production version has not yet been unveiled, has so far been encouraging. Porsche expects to start producing the Taycan sometime in 2019, in order to meet what appears to be a healthy demand for the electric car.
As it turns out, ramping production of the Taycan is turning out to be a challenging task for the veteran automaker. Porsche plans to build its Taycan line at a facility located at Zuffenhausen, a suburb in Stuttgart, Germany. The site is a historic location for the pedigreed brand, considering that it is the location where the Porsche 911, one of the company’s most iconic vehicles, is being produced. Other important cars in Porsche’s lineup, such as the 718 Boxster, as well as the 718 Cayman, are also manufactured in the same facility.
Porsche is aiming to produce 20,000 Taycans per year in the Zuffenhausen site. Starting and ramping the production of the all-electric sedan requires a complex reorganization of Porsche’s facility, especially considering that the Taycan’s line has to be built while the production of the 911, 718 Boxster, and 718 Cayman is running at full capacity. In a statement to Dutch auto publication Vroom, Porsche head of production Albrecht Reimold described the difficulties facing the company.
“Finding the right location is a difficult decision. Transforming the existing factory costs a lot of money, moving to a new location as well. Transforming a factory while the production lines are running at full capacity is not an easy task,” he said.
Project manager David Thor Trygvason elaborated on the complex challenge involved in building the Taycan’s production line. According to Trygvason, the location where the Taycan’s line would be set up has to be overhauled. Apart from this, Porsche’s estimated timeline for the project is 48 months, making the project quite costly and demanding.
“The existing location has to be demolished and rebuilt in a short time, but at the same time the production of the 911 and 718 Boxster and Cayman must continue to run. That makes it not only difficult in terms of time and money, but also in terms of logistics and mobility. After all, we are in a location where there is already a factory, where other companies are nearby and where people live nearby,” he said.
Despite these difficulties, Reimold noted that Porsche employees have expressed a sincere commitment to begin the production of the Taycan as early as possible. According to the Porsche executive, the company’s workers have agreed to help finance the factory overhaul by opting to keep their pay flat until 2026, at which point the employees will start getting their investments back. This means that the employees will not have regular salary raises for the next few years.
“We have agreed with them to invest a part of their wage increase until 2025 in the construction of the new factory. From 2026, they will simply receive their investment back,” Reimold said.
Considering that Porche has dubbed the Taycan as one of the company’s most important vehicles after the iconic 911, sacrifices made to start the electric car’s production appear to be necessary, at least for now. If any, Porsche’s struggles to build the Taycan at scale mirror those that have been faced by Tesla with its Model 3 ramp. Just like Porsche’s factory, Tesla also set up its Model 3 lines in the same facility building the Model S and Model X. The aggressive ramp, which CEO Elon Musk aptly dubs as “production hell,” has been haunting the electric car maker for the past year. Ultimately, Porsche’s current difficulties with the Taycan are an indication that Tesla’s struggles with Model 3 production are not problems exclusive to the California-based electric car maker.
Building cars is not a simple task. Building cars that people want to buy is even more challenging. With car buyers and the auto market steadily shifting its interest to electric vehicles, carmakers with upcoming battery-powered cars are now feeling the pressure to roll out their offerings as quickly as they can. Being one of the legacy carmakers who has committed to releasing an electric car, this is something that Porsche appears to be experiencing now. Nevertheless, with a line of reservations that are growing longer, and with a workforce determined to make sacrifices for the company, there is a good chance that the Porsche Taycan can still make it in time for its anticipated debut next year. According to Trygvason, the work being done in Porsche’s factory might be daunting, but “the good news is that the work is still fully on schedule.”
The Porsche Taycan is expected to feature the legacy carmaker’s trademark performance, with the vehicle listed with a 0-60 mph time of 3.5 seconds, a range of 310 miles per charge, and a top speed of 155 mph.
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
