Investor's Corner
Tesla gets restraining order against TSLA critic who tried to disrupt Model 3 test car
The man behind one of the most prominent anti-Tesla accounts on Twitter, @skabooshka, has been issued a temporary restraining order after allegedly trying to cause an accident during a Model 3 test vehicle’s Navigate on Autopilot demonstration. The noted TSLAQ member reportedly drove so recklessly that his vehicle ended up triggering the Model 3’s crash emergency avoidance maneuver.
The temporary restraining order was granted by the Alameda County Superior Court in CA on Friday, though it is still unknown if the restraining order has been served. In its filing, Tesla claimed that California resident Randeep Hothi, the man allegedly behind the TSLAQ @skabooshka account on Twitter, had “stalked, harassed, and endangered” three employees who were driving a Model 3 in the Bay Area. The electric car maker noted that this was not the first time that the noted short committed acts against the company, as he also reportedly injured a member of Tesla’s security personnel when he was caught trespassing on company property.
Tesla explains its request for a restraining order as follows (credit to Twitter user Nafnlaus for providing screenshots of the documents). The following are excerpts from Tesla’s restraining order.
Respondent has a history of trespassing at Tesla’s facilities, unlawfully taking photographs and video to post on his Twitter account, and other misconduct, as explained in the Leslie Declaration. However, in recent months, Respondent’s conduct has escalated and has resulted in violent and intimidating confrontations with Tesla employees.
In an incident in February 2019, Respondent hit Tesla’s security employee Tyler James with his car as Mr. James approached Respondent to ask him to leave Tesla’s private property. Mr. Tyler suffered minor injuries. The Respondent did not stop and fled the scene. The Fremont Police Department were called and arrived on the scene. The Department later attempted to issue Respondent a warning notice of trespass, but was unsuccessful because Respondent has avoided and been uncooperative in meeting with Fremont police officers.
More recently, on April 16, 2019, Respondent stalked, harassed, and endangered (three Tesla employees) who were driving on the highway in a Tesla-owned Model 3 vehicle bearing manufacturer plates and mounted with camera equipment. In particular, Responded pursued these employees on the public highway for about 35 minutes, variously driving ahead of, beside, and behind them, and swerving dangerously close to the vehicle. Respondent swerved so close to the side of the Tesla that the vehicle’s side-collision (crash) avoidance safety feature was triggered to engage an emergency maneuver to avoid the collision.
These employees had no prior knowledge of Respondent’s interactions with Tesla, but it appeared that Respondent was trying to interfere with their drive, and each feared that Respondent’s road conduct would cause a collision and injure them. Fearing for his safety and for the safety of the other passengers in the Model 3 (a Tesla employee) called the San Francisco Police Department at that time. However, because no officers were in the area, (the Tesla employee) ultimately did not request that an officer be sent to their location.
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On April 22, 2019, Tesla will host an event at its headquarters at 3500 Deer Creek Road, Palo Alto, during which Tesla employees will be demonstrating vehicle functionality in manufacturer-plated vehicles on nearby roads. Respondent has expressed interest in this event on Twitter, and his Twitter followers have encouraged him to try to follow and interfere with these drives. Respondent is a vocal Tesla detractor, claims to be a Tesla short-seller, and tweets extensively about his desire to see Tesla (and its Autopilot technology) fail. To ensure the safety of Tesla employees and the public, temporary protection is needed, on April 22,2019, for any Tesla employee driving a Tesla vehicle with manufacturer plates within 5 miles of Tesla’s headquarters at 3500 Deer Creek Road, Palo Alto, California.
It should be noted that @skabooshka’s actions mentioned by Tesla in its restraining order disturbingly mirror some of the suggestions proposed by the TSLAQ community when the noted bear posted images of the company’s Model 3 test car on Twitter. Among these suggestions include braking in front of Tesla’s test vehicles, as well as intentionally swerving into the electric cars’ lane to ensure that the company’s demonstrations are authentic. Other Tesla bears also joked that it would be amusing if the Model 3 crashed.
Due to his actions, the noted Tesla bear will now be required to stay at least 100 yards away from the Fremont factory or the employees named in Tesla’s restraining order. He is also required to stay 10 yards away from any Tesla vehicle with manufacturer plates within five miles of the factory. The restraining order is effective until May 7, when a hearing is set.
The Tesla critic’s reckless actions seemed to have stemmed from a particular focus on Tesla’s upcoming Autonomy Investor Day on April 22, where the electric car maker is expected to give investors a deep dive into its full self-driving initiatives, including its custom Hardware 3 computer. Test rides on vehicles equipped with unreleased features of Autopilot and the Full Self-Driving suite are also expected to be held in the event.
Neither Tesla nor Hothi have responded to requests for comment to media publications such as The Verge, though the @skabooshka Twitter account boldly declared on Saturday post that “I will not rest. This is my promise. Tesla is a zero. @elonmusk will go to prison.” Elon Musk, for his part, noted on Twitter that the actions of the noted Tesla bear was something that he has never seen before.
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.
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