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.
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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?
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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
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
