Investor's Corner
Tesla price target reductions, Rivian recall take focus as EV stocks slide
Electric vehicle stocks are continuing to slide on Monday as a broader market turnover continues to affect the economy. Tesla faced several price target reductions on Monday morning amidst a lower-than-expected delivery count for Q3, while Rivian shares are down due to a recall that affected over 12,000 vehicles. However, these are not the only two companies facing heat during Monday’s trading session.
Tesla
Tesla (NASDAQ: TSLA) shares have been beaten and battered over the past month, down over 27 percent. Last week alone accounted for a nearly 12 percent slip in Tesla share price, attributed to a weaker-than-anticipated delivery count when the company announced Q3 numbers earlier this month. Tesla delivered 343,890 vehicles but missed Wall Street expectations. The automaker detailed difficult supply chain conditions for the slide in deliveries, which ultimately ended up occurring in Q4 instead of Q3.
“As our production volumes continue to grow, it is becoming increasingly challenging to secure vehicle transportation capacity and at a reasonable cost during these peak logistics weeks,” Tesla said when it announced the delivery figures on October 2. “In Q3, we began transitioning to a more even regional mix of vehicle builds each week, which led to an increase in cars in transit at the end of the quarter. These cars have been ordered and will be delivered to customers upon arrival at their destination.”
These issues, while contributing to early Q4 deliveries, encouraged Morgan Stanley’s Adam Jonas to trim his Tesla price target from $383 to $350.
“We believe factors that drove Tesla’s weaker than expected 3Q production and deliveries could continue to present headwinds into 4Q as well as into FY23,” a note to investors said. Morgan Stanley trimmed its 2022 delivery outlook from 1.37 million vehicles to 1.31 million. The firm also revised its 2023 forecast by 200,000 cars from 2 million to 1.8 million.
“We reiterate our OW (overweight) rating on Tesla and continue to position the name as a core holding.”
Tesla also had its price target trimmed by UBS from $367 to $350, as analyst Patrick Hummel maintained a “Buy” rating. RBC Capital Markets analyst Joseph Spak also cut the firm’s price target on Tesla to $340 from $367.
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Tesla shares were trading at $222.79 at the time of publish.
Rivian
Rivian (NASDAQ: RIVN) saw more than a 10.5 percent dip in Monday trading following a recall of more than 12,000 vehicles on Friday.
Rivian announced last week that it was issuing a recall on 12,212 R1T, R1S, and EDV (Electric Delivery Van) units due to a “loose steering knuckle fastener.” The NHTSA stated, “The fastener connecting the front upper control arm and steering knuckle may have been improperly tightened,” which may cause the fastener to separate and cause a loss of vehicle control.
“This is a black eye for Rivian now just starting to hit its stride on reaching its 25k production target,” Wedbush analyst Dan Ives said. “A modest setback.”
Rivian shares were trading at $30.63 at the time of publish.
Other EV Stocks: A rough day on Wall Street
Lucid (NASDAQ: LCID), Nio (NYSE: NIO), Li Auto (NASDAQ: LI), and Ford (NYSE: F) were all down at least 3 percent at 11:20 A.M. on the East Coast.
Ford’s 7.2 percent drop on Monday was the most notable. Wall Street continues skepticism on whether legacy automakers like Ford and GM can remain afloat among rising competition and a robust lineup of carmakers that show more promise in the EV sector. Analysts at UBS downgraded Ford and lowered its price target to $10 from $13. The Motley Fool stated in its synopsis of Ford’s struggles that the company’s key metrics for September were the weakest among U.S. automakers, making it more vulnerable during a recession than its peers.
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Price increases on Ford’s F-150 Lightning have indicated the company is making the right moves to keep margins in the right place. Additionally, the company is feeling healthy demand from consumers as it recently suspended accepting orders on the Mustang Mach-E’s base trim, citing high demand and a long order backlog.
Ford stock was trading at $11.32 at the time of publish.
Disclosure: Joey Klender owns Tesla stock, but no shares of any other automaker mentioned in this article.
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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
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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.”
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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.
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
