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Opinion: Tesla has a service problem, and it needs to get addressed as soon as possible
Just recently, Tesla CEO Elon Musk was reminded of the fact that the company needs to expand its network of physical service centers. This is a point that needs to be highlighted these days, especially as Tesla’s vehicle production and deliveries reach new records. With Tesla poised to start producing vehicles by the millions in the near future, it is time for the company to acknowledge its service issues and ensure that its service network expansion sees the same level of dedication as its Supercharger Network ramp.
Tesla may be evolving into a robotics and AI company, but at the end of the day, it is also an electric car maker. And while EVs require far less service than their combustion engine-powered counterparts, they still need service and maintenance from time to time. This is especially true in cases of physical repairs such as the replacement of upper control arms, which are better suited for actual service centers.
It should be noted that while Tesla’s mobile service team is excellent and universally appreciated, they cannot address every single concern and repair. This could become a pain point for owners today, especially those who require repairs and maintenance that could not be accomplished by the mobile service team. Some Tesla owners have shared on social media that at times, they could end up traveling for hours just to get to the nearest service center. This system creates a negative ownership experience that could be detrimental to Tesla in the long run.
“Good Service” is Better Than “No Service” — At Least for Now
The company, after all, is producing vehicles at a scale that would have scared the pants off EV skeptics just a handful of years ago. Tesla will likely produce and deliver over a million vehicles per year within the next year or two, and by that time, the repair and maintenance needs of customers would likely be more substantial. A good portion of the company’s fleet would also be comprised of older vehicles then, some of which would likely require more maintenance and repairs.
The issue of the company’s lack of service centers has been brought up in past earnings calls, and most of the time, Tesla’s executives would respond by pointing to the growth of the company’s mobile service network, which could address an increasing number of repairs and issues from the comfort of owners’ homes or workplaces. Tesla also adopts the idea of the “best service” being “no service” at all. These goals would likely be attained in the future — especially as its factories become more automated and batteries become more advanced — but for now, Tesla has to focus on ensuring that existing customers, both new and old, are supported in the near-term.
Granted, the margin of error for physical service centers is substantial. There is a big human factor that determines if customers are provided a negative or positive experience during a service center visit, after all. This was highlighted recently by @JeffTutorials, the Model 3 owner Elon Musk recently responded to on Twitter, who reported that his experience with the company’s Princeton, NJ Tesla Service Center was nothing short of horrible due to the site’s staff. Such negative experiences could be prevented, however, provided that Tesla adopts strict policies for its service employees.
A $360 Billion Upside
Ultimately, there seems to be little downside to Tesla ramping its service centers at a similar pace as its Supercharger Network, which is already one of, if not the, best rapid charging system in the world. Apart from improving its customers’ overall ownership experience, expanding its service network would also allow Tesla to tap into a large, lucrative market. In Europe, for example, Tesla could breach the company car segment, which is worth $360 billion annually. Company cars are huge in Europe, with 60% of all new vehicle sales being made through corporate channels.
SAP SE, a German software maker and one of Europe’s largest tech companies, noted back in May that its employees are actually very interested in Tesla’s electric cars. And while it provides vehicles to its workers, SAP SE simply cannot commit to Teslas just yet because of the company’s poor service center network in the region. The same was true for chemicals giant BASF SE, which noted that it could not offer Teslas as a company car option for its 50,000 German employees until service centers are expanded.
It’s important to note is that improving service is not an “either/or” situation. Yes, mobile service could be ramped to address an increasing number of issues, but the company could also expand its physical service centers at the same time, and just as aggressively. Fortunately, Tesla does seem to have this in its plans, as confirmed by Elon Musk on Twitter. And if Tesla is indeed expediting its service center openings, then the company would effectively address one of its customers’ most persistent pain points.
Plus, in the long-term, wouldn’t service centers be a good site for Tesla Bots to practice their physical work capabilities?
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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
