News
Tesla to allow service requests with ‘1 or 2 taps’ in mobile app, says Elon Musk
Earlier this year, Elon Musk noted that Tesla owners would be able to request service for their vehicles through their smartphones. During his announcements then, Musk stated that the higher operating costs of the smartphone-based service requests would be “worth doing” for the company, considering that it would result in better “owner happiness.”
A recent set of tweets from Elon Musk provided a number of additional details for the company’s upcoming mobile app-based service request system. For one, Musk stated that the company is “adding functionality to the Tesla phone app allowing owners to request service for top issues” with just one or two taps. With such a system in place, owners of Tesla’s electric cars would soon be able to request service in a manner that is convenient and quick.
Adding functionality to Tesla phone app allowing owners to request service for top issues with 1 or 2 taps https://t.co/zb7A6fMROe
— Elon Musk (@elonmusk) November 19, 2018
Musk further noted that in the event of a breakdown or accident (assuming that there are no injuries, of course), Tesla Service would arrive at the scene with a top-of-the-line loaner vehicle that’s ready for use. While a vehicle is being repaired, Tesla could also push data to the mobile app that would allow owners to view updates on the progress of their electric cars’ diagnosis.
Yeah, good idea. We have that state internally, so can push data to phone app.
— Elon Musk (@elonmusk) November 19, 2018
With the ongoing production ramp of the Model 3, Tesla is now at a point where the size of its fleet is bound to get larger over the coming quarters and years. The release of high-volume vehicles like the Model Y, and possibly even the Tesla pickup truck, as well as the arrival of other vehicles like the Tesla Roadster and the Tesla Semi, would all but increase the number of the company’s electric cars on the road.
The increasing number of Tesla electric cars highlight the need to deploy a service system that can handle the needs and demands of a large fleet. Tesla is already preparing for such a scenario by improving its service capabilities, such as the launch of in-house body shops that are capable of conducting minor bodywork repair, as well as the ramp of its mobile service vehicles. Tesla mentioned these improvements specifically in the company’s Q3 2018 Update Letter.
“We expect our Services and Other business to continue to grow mainly due to used car sales volumes. We will increase investment in our service infrastructure in North America through (the) deployment of new service locations and additional mobile service vehicles.”
Tesla’s Support Page notes that Roadside Assistance services are offered to owners as a way to “minimize inconvenience” in the event that a vehicle becomes inoperable. The service, which is available 24/7, is provided for the first four years of ownership, or 50,000 miles. Depending on the car, additional coverage for the battery and drive unit are also offered with a separate policy for 8 years or 125,000 miles, or 8 years and unlimited miles.
Tesla Roadside Assistance currently offers transportation services of up to 500 miles to the nearest Service Center in the event of a warrantable breakdown that renders the vehicle undrivable. Flat tire services, aid in the event that an owner is locked outside the car, and assistance in the event that an electric car runs out of range, are also offered as part of Tesla’s Roadside Assistance services.
Tesla stands as one of the carmakers in the market today with a high Net Promoter Score. IndexNPS, which tracks the NPS scores of companies, notes that Tesla’s score of 96 is higher than legacy carmakers like Porsche, Audi, Toyota, Subaru, Honda, Hyundai and GMC, whose scores range between 73 and 84. One of the reasons behind these is the company’s proactive approach to improving its services, as evidenced by the expansion of its mobile service fleet, as well as its mobile app’s upcoming capability to conduct service requests.
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
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.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
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.”
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.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
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.
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.
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.
