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Tesla is primed for Formula E while its rivals are working in reverse
Tesla and Formula E: Will it ever happen? Probably not. At least, that’s what Elon Musk says, and he believes that production and scalability are more important. For the global EV scene, they certainly are, while professional motorsports are really just a trivial part of what Tesla does. While the company does build and create some of the fastest and highest-performing cars on Earth, it has no intentions of bringing them to a track or becoming a car company dedicated to winning shiny trophies. However, this didn’t stop other car companies from adopting different strategies.
Some companies, like BMW and Audi, for example, did their work in reverse. Years ago, when the Formula E Series became a real thing, these two companies were among the first to build a single-seat, all-electric powertrain that was extremely similar to the blazing fast F1 circuit. The only difference was that these new, sustainable racecars weren’t blaring loud motors for everyone to hear.
Instead of developing mass-market vehicles that would benefit the company in a multitude of ways, these automakers chose to work in reverse. Not focusing on building a reliable EV software infrastructure or production facilities to manufacture them in, German car companies went to their roots and focused o a few fast cars that would compete on the weekends at some of the toughest circuits in the world. But the problem is, they could have killed two birds with one stone by doing things in the correct order, which brings me to my next point: Tesla is already primed for Formula E, and it never had any intentions of competing.
A recent article from Bloomberg shows that BMW has decided to officially scrap its Formula E team at the end of this season, shifting its focus from racing and toward an intensifying EV market. The money it will save from not focusing on turning out fast laps at world-famous circuits will now be dedicated to developing EVs for consumers.
In the time that BMW has been racing in Formula E, it has only released one car: the i3, a boxy, widely unpopular car aesthetically. With plans to launch the iX, which it unveiled just last month, there are plenty of opportunities to establish a competitive lineup of all-electric cars in the future. But the focus has been all wrong from the start.
BMW didn’t have an overwhelmingly successful time in Formula E. Since it started racing in the series, which held its first race seasons ago, it has won only four races. But the company stated that it has “exhausted the opportunities to transfer Formula E’s pioneering racing technologies into passenger models.”
This is where the order of development may have been more advantageous for BMW. Now that their Formula E run is over, they have nothing to base passenger models off of, which pretty much puts them at square 1 if you take into account the i3 is not a widely popular or successful EV, to begin with.
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This is where Tesla gains a real advantage in a hypothetical scenario where it would build cars for a racing series. Tesla has passenger vehicles now that could compete in several racing series, and other cars that actually have competed in racing forums like the Pikes Peak Hill Climb.
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For example, the Roadster is 0-60 in 1.9 seconds, has a quarter-mile acceleration of 8.8 seconds, and seats four people. The powertrain is already powerful enough to compete in some racing circuits, but if Tesla were to refine it slightly and build a new, more reliable chassis that would benefit racing scenarios, there is no reason that the Next-Gen Roadster wouldn’t be extremely competitive in some racing series.
The Model S Plaid is another example. It has broken multiple records, including one at the Nürburgring in Germany (which is unconfirmed) and the Laguna Seca Raceway in California. It already has the handling, speed, and downforce to take on tough tracks that are windy and difficult to maneuver. It would just take some minor refinements to make it a “racecar.”
This is where Tesla gains a significant advantage in its structure. It is irrelevant whether the company will actually race some of its cars or not, but it would be ready today if it chose to. Meanwhile, other car companies decided to build racecars first, and after seven years of R&D, they have nothing that would contribute to a highly-effective passenger car. It is like baking a cake before putting any of the ingredients together.
It doesn’t bode well for these foreign automakers, either. Unfortunately for them, Tesla is pulling away. Every day, it seems like the company is improving in range or performance or battery tech that makes its lead in the EV sector a little bit bigger than before. Now, it has four passenger cars on the road: Two sedans, a crossover, and an SUV. It has a Supercar on the way, a truck coming in the next year, a Semi that will be launched shortly. The list goes on and on, it seems, and if Tesla wanted to race a car this weekend and be competitive, it could.
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It almost sounds like the priorities of these highly-complex German car companies were simply out of line. They chose to do the fun stuff first instead of focusing on the real task at hand: Getting gas cars off the road and putting electric ones on it. Instead of worrying about the issues surrounding the manufacturing processes of EVs, which took Tesla several years to figure out (and it is still a work in progress), BMW will be forced to make a full-scale commitment if it wants to be competitive within the next ten years. The decision it made could be detrimental to the future development of the company’s EV fleet. It certainly has its work cut out for it.
And if you’re wondering, Musk said Tesla would not get into racing. The big picture deals with manufacturing and scalability, and racing is really the last of the CEO’s concerns.
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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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
