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Porsche exec credits Tesla for proving EV demand, reveals Taycan reservation details
Porsche Cars North America president and CEO Klaus Zellmer recently shared his insights about what he perceives to be the upcoming widespread adoption of electric cars. In an op-ed published on USA Today, Zellmer argued that the demand for electric vehicles is definite at this point, and it will only be a matter of time before the United States’ roads are filled with EVs.
While the Porsche CEO continues to prepare for the arrival of the Taycan, he nonetheless gave credit to Tesla for making “inroads” in the push for battery-electric vehicles. Zellmer argued that Tesla has all but proven that there is “significant demand” for electric cars, particularly those which combine sustainability with performance and design.
“Last year, the Model 3 outsold any other premium sedan in the US. We know that American consumers embrace new technology, especially if it delivers a new experience. And once a technology catches on, consumers respond well to expanded choice as competitors enter the field. Just look at how many models of SUV you can buy today, or the proliferation of smartphones since Apple introduced the iPhone in 2007,” he wrote.
Apart from the demand for electric vehicles being all but certain, the Porsche CEO added that the expansion of EV charging infrastructure is starting to hit its stride, as shown by the efforts of companies like Electrify America, ChargePoint, and EVgo. Zellmer also argued that electric cars are cleaner than they have ever been, thanks to a grid that is steadily becoming greener.
Nevertheless, perhaps the most notable sign for the Porsche CEO was the demand the German carmaker is seeing for its first modern all-electric vehicle, the Taycan. According to Zellmer, there is enough interest in the Taycan to fully account for Porsche’s production of the vehicle through late 2020.
“We already have enough interest to account for all the Taycans we expect to deliver in the US in the first year, through late 2020. That’s powerful, given that the final production model has yet to be unveiled. And the market potential is so strong that we just announced we will switch our best-selling model, the Macan compact SUV, to all-electric in the next few years,” he wrote.
A particularly interesting tidbit given by Zellner in his op-ed involves some details about the demographic that the Taycan has been attracting. The CEO mentioned that fewer than half of the Taycan’s reservation holders are current Porsche owners, but from those who are, the biggest single group own a Porsche 911, the company’s flagship vehicle.
“The fact that someone can love the sound and feel of an exhilarating flat-six gas engine and also be attracted to the silent power of a performance EV says volumes about the capacity of the US market for this new power train,” Zellmer stated.
Porsche is currently preparing for the launch of the Taycan, which is expected to be held this coming September. The final details of the vehicle are yet to be released by the company, though reports have emerged stating that the car will come in three variants: a base rear-wheel-drive Taycan that’s equipped with an 80 kWh battery pack, a mid-range Taycan 4S that’s fitted with a 96 kWh battery, and a top-of-the-line Taycan Turbo, which will also feature a 96 kWh battery. Recent reports have also hinted at possible upcoming variants for the vehicle, such as the Taycan Turbo S and a lighter, RWD Taycan GTS that will likely be optimized for track driving.
The full text of Porsche Cars North America CEO and president Klaus Zellmer insights on electric car adoption, Tesla, and the Taycan could be accessed here.
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
