Last week, Elon Musk tweeted in a series of updates that Tesla would be attempting to service two-thirds of customer requests “same day.”
One of the many benefits of owning an electric vehicle is the lack of service required. According to Autoblog, of the top 5 most common car repairs – oxygen sensor replacement, inspection of loose fuel cap causing engine light, catalytic converter replacement, mass airflow sensor replacement, and spark plug replacement – none of them are even possible on an electric vehicle. Nonetheless, due to a range of issues, Tesla has had a consistent problem with servicing its ever-growing group of customers’ needs. Musk is set out to change this, and owners should have many reasons to be optimistic!
Working on Tesla North American service.
Goal is 2/3 of cars receive same-day service, no wait.
— Elon Musk (@elonmusk) June 4, 2022
Looking at Tesla’s service problem, it is multifaceted and often self-feeding in nature. To start off, quality control at Tesla has been a known problem, with customers experiencing everything from missing badges to paint issues to panel gaps. All of these issues must be serviced, and much of this service will be done at one of the company’s service centers.
Quality control (QC) service requests, when combined with normal service load, mean that Tesla service centers’ availability is often impaired. Tesla Motors Club forum even has a thread dedicated for service center wait times. This means that customers may be forced to wait longer periods before service, and if the service is not done 100% correctly the first time, the service center doesn’t have the capacity to bring them back immediately.
This lack of availability is compounded by Tesla’s lack of service centers as a whole, some states having only single-digit numbers of service centers available. This means that the service centers that do exist are responsible for a larger number of vehicles. And while independent service centers exist commonly throughout the US, many refuse to work on Tesla products or any electric vehicles for that matter, even when they have the capability to do the work. Once again, this forces more service requests to Tesla service centers.
Credit: Tesla
Finally, because new car QC requests are often covered by Tesla at no cost, this incentivizes customers to go to service centers for free work instead of going to independent shops that may be able to help them.
These problems have not been ignored by Elon Musk, and since 2018, Tesla has addressed many of these concerns. Most predominantly, since 2018, the number of service centers and the area that they cover has increased drastically. Looking at a map of 2018 and comparing it to now, areas such as New England, the Pacific Northwest, and the South have all seen massive increases in capacity. Tesla aimed to open one new Service Center per week in 2021, and, in general, the automaker has experimented with many different specialized service programs.
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- Map of Tesla service centers in the US as of 2018.
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- Map of Tesla service centers in the US in 2022
This is combined with an increase in capacity in Tesla’s mobile repair teams, who can often address service requests before the customer has to come to a service center. And in more recent news, Tesla has even made their repair manual free for customers to access, allowing more repairs to be done outside of service centers.
Another obvious change consumers have seen is an improvement in QC. Even according to JD Power’s rankings of brands by initial quality, from 2020 to 2021, Tesla has reduced the number of “problems per 100 vehicles” from 250 in 2020 to 231 in 2021, a number that is competitive with brands like Audi (240) and VW (213).
Service centers themselves have also been changed over the past 4 years with the inclusion of F1 style pit lanes that allow customers to be more quickly addressed and hence allow the service team to address more requests in a day.
Nonetheless, many have been concerned that these changes have not been enough to fix the Tesla service issue. Leading many to think about what could be done to improve the situation. A couple of options have been put forward by industry professionals and Twitter users alike. One such suggestion has been the expansion of the Tesla START program, a program that teaches individuals how to work on Teslas and then places them with a full-time job at a Service Center location across the country. Currently, the program is offered at eight colleges across the country: Rio Honda Community College in Los Angeles, Central Piedmont Community College in Charlotte, North Carolina, Shoreline Community College in Seattle, Evergreen Valley College in San Jose, California, Suffolk Community College in Selden, New York, Miami Dade College in Florida, Texas State Technical College in Waco, Texas, and Sinclair Community College in Dayton, Ohio.
Overall, the changes made in the past 4 years should give Tesla’s current and future customers much to be optimistic about. QC has improved, the speed of service operation has increased, service manuals are free and open to anyone, and the number of service centers has increased. The only question is, what is Elon Musk planning on implementing next to improve Tesla’s Service department?
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com
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
