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Tesla at a tipping point: How a focus on safety and features is building a formidable car brand
Last week, JD Power revealed the results of a study about the public’s perception of electric vehicles and autonomous driving technologies. The results of the survey were not that encouraging, with 68% of the respondents stating that they had zero experience with electric cars. The majority of the study’s demographic also stated that they would not consider an EV as their next car purchase.
Yet, despite these results, one particular vehicle seems to be bucking the trend. In June, Tesla sold just shy of 40,000 Model 3 across the globe, making it the best-selling electric car worldwide. Following the Model 3 was the BAIC EU-Series from China, which was far behind at almost 18,000 units sold. Third place in June’s global EV sales rankings was the BYD Yuan, which sold 6,566 units. The Model 3’s feat is impressive, considering that the market is just beginning to seriously embrace electric cars as a viable alternative to gas-powered automobiles.
Baillie Gifford’s recently-released Annual Financial Report noted that Tesla had reached a milestone with the Model 3, as exhibited by the vehicle becoming the US’ best-selling passenger car by revenue over the past four quarters. This milestone could have been achieved by Tesla because the company has and continues to develop a reputation for building great cars that just happen to be electric, not electric cars that just happen to be good. By emphasizing the innate strengths of electric vehicles, Tesla has created a brand that is becoming synonymous with safety and bleeding-edge features.
The Tesla Model 3, Model S, and Model X are three of the safest vehicles on the road today. This is partly due to the vehicles being designed from the ground up as electric cars. With their generous crush zones and rigid frames, Teslas are capable of protecting their occupants, even in potentially serious crashes. Some of these incidents are shared online through the Tesla community and beyond, and they help spread the word that the company’s vehicles are among the safest vehicles on the road today.
The aftermath of these incidents usually follows a similar pattern too, with a Tesla getting damaged and the other vehicle coming out worse for wear. An example of this could be found in this recent incident involving an otherwise intact Model 3 toppling a fire hydrant after getting rear-ended by a Subaru. As could be seen in pictures of the crash’s aftermath, the gas-powered car looked like it hit a wall when it smashed into the Model 3.
Teslas are essentially computers on wheels, and this is one of the reasons why the Model S, Model X, and Model 3 are among the very few vehicles on the road that can receive new features through free over-the-air updates. This has become a crucial part of the Tesla ownership experience, as cars that are handed over to customers only get better with time. Some of these features, such as Sentry Mode and TeslaCam, have even helped owners catch individuals that vandalize their vehicles.
In a recent report, the Highway Loss Data Institute stated that Teslas are among the least likely vehicles to get stolen in the United States, with the Model S and X nearly 90% less likely to attract thieves than the average automobile. The reasons for this could vary, but the fact that Teslas are equipped with a suite of security features, and the fact that the National Crime Information Center tracked 112 recovered Teslas out of 115 stolen vehicles between 2011 and May 2018, establishes the company’s electric cars as vehicles that are pretty tricky to steal.
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Tesla only commands a tiny fraction of the overall automotive market today. Even with the aggressive ramp of the Model 3, Tesla is still far from breaching the mass markets that are dominated by low-cost vehicles that have been around for decades. This does not mean to say that Tesla is not making progress, as the company is steadily increasing its reach in the auto industry’s premium segment. And thanks to the company’s innovations and unique approach to its vehicles, Tesla is making itself into a brand that simply attracts a ton of interest.
An example of this could be seen in Japan recently, where Tesla showcased the Model 3 (which is yet to be distributed to the country) at the Haneda Airport. Not too far from the Model 3 was an exhibit of the gas-powered B-Class from Mercedes-Benz, a premium vehicle from a veteran carmaker that is synonymous with luxury. The interest attracted by the two vehicles among the people at the Japanese airport was very telling.
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.
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.
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.
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
