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 is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.
Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla Cybertruck is officially the safest pickup, IIHS says
