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
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
