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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’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
