Investor's Corner
Tesla is addressing its repair service challenges by doubling capacity in 2019
As Tesla heads towards the mass market with vehicles like the Model 3 sedan and the upcoming Model Y SUV, the challenges of supporting an ever-growing fleet is becoming more and more evident. Over the past month, numerous Tesla owners, including influencers with large followings on social media, have brought up the issue of the company’s vehicle service problems. In its recent Update Letter and following earnings call, the electric car maker provided some insights into this issue.
Tesla stated that it is currently operating 378 service centers around the world by the end of the fourth quarter, with 300 of the sites being located outside of CA. Augmenting this support system is a fleet of 411 mobile service vehicles. While this might seem sufficient to provide service to the company’s Model S and Model X, these sites are quickly proving insufficient when faced with the company’s increasing sales and its ever-growing Model 3 fleet.
In 2018, for example, Tesla delivered 245,240 vehicles across the globe. This year, Tesla noted in its shareholder letter that it aims to increase vehicle deliveries to 360,000 to 400,000 worldwide — an increase of 45% to 65% compared to 2018’s already record-breaking numbers. With this in mind, there is a need for Tesla to ensure that its service capabilities are enough to support the company’s increasing number of vehicles.
During the recently held earnings call, Tesla noted that it would be rolling out vast improvements for its parts distribution systems. Elon Musk added that Tesla’s strategies for servicing vehicles have been pretty inadequate, at one point candidly describing the policies as “boneheaded.” Musk also noted that some of its service processes were “super dumb,” referring to a system where a part made in China gets shipped to the US, only to be sent back to China where they were ordered.
“We’re also improving parts distribution. I think we made a strategic error in the past about not having service parts located at our distribution centers. We had them in parts distribution warehouses which basically meant it was impossible to have a fast turnaround on service on your car because the car would come in, then the parts would be requested (before) they come to the service center. Basically, for even for a very simple repair, it could take days.
“We’re going to move to stocking all common parts at the service centers, so it’s possible to get your car service in 20 or possibly 15 minutes. Lightning fast. It’s also gonna make sense for our service centers to do basic bodywork or essentially if all you need to do is replace a front or rear feature, it makes sense to pre-stock the front-rear feature in the common colors. So unless you have (an) unusual color, we can literally replace your feature in 15-20 minutes, and there’s none of this like weeks at a body shop stuff.”
One thing that the company emphasized in the earnings call was the potential of its Tesla Rangers service, which sends certified mechanics to customers’ homes or offices to repair cars on the spot. Considering that the Rangers could address around 80% of repairs needed for Tesla’s electric cars, a serious ramp of the mobile service would likely result in an improvement for the company’s vehicle service systems.
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In its Q4 2018 Update Letter, the company noted that its centers would be moving to two-shift operations in order to double the capacity of a site. Improvements to the Tesla app are also expected to make scheduling service an easy and seamless affair. Ultimately, these initiatives are expected to allow the electric car maker to vastly improve its capabilities to address its owners’ vehicle concerns.
Tesla’s areas for improvement in its service systems appear to be a notable topic for Elon Musk. In last year’s Annual Shareholder Meeting, Musk announced that Tesla is opening in-house body shops to reduce the time it takes for vehicles to be repaired. Tesla eventually launched several in-house repair centers across the United States, and the reception from the community has largely been positive. Model 3 owner and YouTube influencer Kim of Like Tesla, for one, shared her experience with one of the company’s in-house body shops, which was able to complete the repairs to her damaged vehicle in 24 hours.
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.
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