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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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News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
