Investor's Corner
The epic battle between Elon Musk and the Tesla haters
In a fascinating article in Institutional Investor, Michelle Celarier writes that Tesla [NASDAQ: TSLA] is: “the biggest short in the U.S. market; about 27 percent of Tesla’s free float is short, for a value as high as $10 billion” according to S3 Analytics, a firm that tracks short sales. That said, “the stock has soared more than 1,300 percent since Tesla went public in 2010. It is the first automaker to go public since Ford in 1956, making it one of the darlings of the post-financial-crash bull market.”
Photo credit: Tesla
It turns out that one of the most notorious Tesla shorts is Mark Spiegel. And Spiegel hasn’t even driven a Tesla yet. He says, “I’m more into sports cars.” According to Celarier, “Spiegel has become something of a zealot on Tesla. His small hedge fund, Stanphyl Capital Management, runs a mere $8.5 million, given that it was down 20 percent this year through August. That’s largely due to his short of Tesla, which had gained 74 percent this year, making it the worst-performing short of the year.”
However, there are bigger players out there shorting Tesla. Celarier reports that: “Everyone who’s anyone in Wall Street’s small and clubby world of short sellers has been short Tesla at one point or another… In the past, some of them also shorted Google and Amazon — other high flyers who weren’t making a profit — and somewhat sheepishly [now] admit they were wrong. Clearly, these guys are not dreamers from California’s La La Land, and Musk’s grand plans and his ‘save the world’ ethos can elicit a few eye rolls.”
Another well-known Tesla short, James Chanos of Kynikos Associates, “has been railing against Tesla for at least two years on CNBC and at numerous conferences. He has gone so far as to call Tesla a cult.” Speaking of Tesla’s CEO Elon Musk, Chanos proclaims, “People want to believe he’s some sort of visionary… In a milieu of boring people, they think he is changing the world. He’s not boring. He’s somebody they can attach their hopes and dreams to.”
Photo credit: David Paul Morris/Bloomberg
So why does Tesla attract so many arguments on Wall Street? On the one hand, “Looking at its balance sheet, Tesla is [considered] the perfect short. But its pioneering status in an industry facing wrenching technological upheaval, and its charismatic CEO, has won it legions of admirers and turned it into a battleground stock. Sure, Tesla’s lofty stock price makes it a risky buy — but also a perilous short.”
Anger and hope permeate both camps of investors. “Short sellers berate Tesla investors as momentum chasers, tree-huggers, or simply Elon Musk groupies, but these investors have bought into a vision that has already made great leaps toward building a sustainable energy ecosystem — a costly endeavor that has no shortage of well-heeled enemies.”
And while an army of short sellers persist, plenty of Wall Street’s power players remain steadfast Tesla longs: “The biggest holders, aside from Musk, are mutual funds like Fidelity Investments, which has owned the stock since the IPO. With a current 12.8 percent stake (down from a high of 15 percent), the mutual fund giant is the largest institutional investor in Tesla, and portfolio manager Kyle Weaver says Fidelity has a long-term perspective on the company that is playing out largely as expected.”
Tesla fleet lined up outside of the service center in Amsterdam [Photo credit: Teslarati App]
“It was the worst short I’ve ever had,” says Whitney Tilson, managing partner of Kase Capital Management, who was short when the stock went from $35 to $205. Last month, Tilson told investors he’s shutting down his funds due to poor performance. Tilson explains, “I can do the numbers and see how much money the company is losing, but you’re short an incredibly maniacally driven CEO, with maniacally driven engineers assaulting the world’s largest industry. If they succeed, Tesla could be a $400 billion market cap company.”“The internal combustion engine is toast long term. It’s game over. The costs of making an internal combustion engine do not go down, while the cost of battery technology has gone down every year,” says Fidelity’s Weaver. “The secular trends that will drive Tesla’s fundamentals are a decades-long trend.” He also applauds Tesla’s environmental mission, “I don’t want to bet against that in an emotional sense.”
Musk is also not afraid to openly attack Wall Street’s short sellers. Let’s not forget, “Musk, who has talked about being bullied as a child, seems to delight in taunting his tormentors. In 2013 he gloated on Twitter, ‘Seems to be some stormy weather over in Shortville these days,’” and once cautioned short sellers that a “tsunami of hurt” was coming in a televised interview.
Celarier writes, “To be sure, a mania surrounds Tesla… [and] betting against Musk is a tough proposition. Tesla has already survived near-bankruptcy events, and Musk has plenty of friends in tech companies with much higher valuations, like Larry Page at Google, that could afford to partner with Tesla or take it over. (Google had struck a handshake deal to buy Tesla during a near-death moment in 2013, according to Vance’s biography.)”
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There’s also massive opportunity for Tesla in China: “Earlier this year, China’s Tencent Holdings took a 5 percent stake in Tesla. China is proposing to mandate a zero-emissions standard in 12 percent of new cars by 2020 and is considering letting wholly owned foreign electric-car companies operate there. The Chinese market is expected to be huge, and Tesla is charging ahead there. It is already building a new supercharger network in the country and plans to both build and sell cars there.”
Such realities make shorting Tesla, for all its financial shortcomings, a difficult call. As Tilson puts it, “I don’t want to be short open-ended situations. The tail risk is just too high.”
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Note: Article by Matt Pressman, originally published on evannex.com
Source: Institutional Investor
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.
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