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Tesla is willing to help other automakers, but ask nicely
Earlier this week, I wrote an article talking about the German car companies and their obsession with mentioning Tesla. Volkswagen, Audi, and BMW are all gunning for Tesla in terms of electric vehicle technology and manufacturing. While the three German giants admit that Tesla holds a multi-year lead in the EV sector, they all believe they can catch up to Elon Musk and the rest of the crew.
After publishing the article, Elon responded and said that Tesla was willing to help companies transition to sustainable forms of transportation because it would help the world as a whole. However, there is evidence to suggest that Tesla and Elon are going to help those who ask for it, not those who attempt to take information in a manner that could be considered “sneaky.”
Tesla is open to licensing software and supplying powertrains & batteries. We’re just trying to accelerate sustainable energy, not crush competitors!
— Elon Musk (@elonmusk) July 29, 2020
Additionally, one of Musk’s followers had asked if Tesla’s Autopilot could be shared with other automakers in an attempt to not only accelerate the charge towards semi and fully-autonomous driving. Musk simply replied, “Sure,” indicating that there did not seem to be any boundaries in terms of what Tesla would be willing to share with its “competitors” as capitalism would refer to them as.
Sure
— Elon Musk (@elonmusk) July 29, 2020
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To me, I found that simple “Sure” reply as one of the most interesting Tweets of Musk’s illustrious Twitter career. Not only has the CEO provided many of my friends and me with a fair share of laughs and me because of his great sense of humor, but his digs at other companies, as well as some of the more ironic things that he has said, have always intrigued me.
When he said, “Sure,” all I thought of was the lawsuit that Tesla currently holds against an Xpeng engineer who formerly worked for Tesla.
For those of you that are not familiar, Tesla sued Xpeng engineer Cao Guangzhi earlier this year, who used to work for Tesla.
Guangzhi allegedly stole pieces of Tesla’s Autopilot source code and attempted to sell it to Xpeng for financial gain. Guangzhi had downloaded portions of the code to his personal laptop and then shared it through Apple Airdrop, which is hard to track because of the encryption that Apple uses. However, he ensures that he removed it from his personal laptop before leaving Tesla to join Xpeng.
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The case is still ongoing.
But what I found most interesting about Musk’s simple one-word answer was the fact that he stated he would be willing to share Autopilot’s developments with other automakers. But it seems it needs to be done in good and harmless fashion, and not in a sneaky way. This is entirely understandable, in my opinion.
If Guangzhi did what Tesla is accusing him of doing, it would be seriously sneaky and flawed. Tesla is the leader in semi-autonomous driving thanks to the developments of its Artificial Intelligence team, led by Andrej Karpathy. What separates Tesla from every other company in self-driving is the fact that it is continuously improving thanks to the company’s Neural Network. As information is communicated to the Neural Network with every Tesla vehicle on the road, the company’s self-driving software becomes more sophisticated and more accurate as it can predict the next movements of the drivers around a car.
If this source code were to be leaked or given to another company, it could be detrimental to Tesla’s lead in the self-driving universe. I’m excited to see how the case plays out.
More recently, Tesla sued Rivian for poaching former employees and stealing trade secrets. Interestingly enough, I had some time to read over several pages of the complaint from Tesla to Rivian, and some employees openly admitted to taking confidential documents when they left Tesla.
I am a big Rivian fan. I think R.J. Scaringe, the company’s CEO, is a brilliant person who has a lot of potential to do amazing things. I have recommended to a couple of my friends that they should invest in an R1T instead of getting a Cybertruck because they don’t like the Tesla pickup’s design. But either way, it seems from my understanding of legal documentation, it is going to be up to Tesla to prove that Rivian asked these employees to take things and that they are openly going after past Tesla employees. I think that is going to be a tough cookie to crack.
But either way, Rivian didn’t go to Tesla for help directly. I feel that if they needed help with electrification or self-driving code, they should have reached out to Elon directly.
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Elon has stated for years that the biggest enemy of Tesla is not competitors who are developing sustainable electric vehicles. The companies that are the biggest threat to Tesla are the biggest threat to us all, which are the ones who refuse to adapt to the sustainable transportation revolution. Companies that want to develop and improve internal combustion engine machines are a threat. Not financially, but environmentally, because they’re ignoring the apparent crisis that is going on in the world.
Does it seem like Elon wouldn’t be willing to help other automakers develop their vehicles if they asked for help? I don’t think so. Personally, when I look at Musk’s mission, I see a man who is interested in collaborating with anyone and everyone, as long as they are willing to admit that their push toward sustainability is the focus and not on the backburner.
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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
