Investor's Corner
Jim Cramer gives inside look at how a Tesla skeptic turns into a TSLA bull
If one were to watch some videos about Tesla back in 2010, one would probably encounter videos of Mad Money host Jim Cramer advising long term investors to stay away from the electric car maker. For a while, Cramer was a Tesla skeptic, at some points even trading barbs with Elon Musk on Twitter. But eventually, Cramer announced that he was no longer bearish against the company, and since then, he has become one of TSLA’s most vocal bulls.
In a recent conversation with Rob Maurer of the Tesla Daily podcast, Cramer shared the inside story behind his change from a bearish skeptic into a full-on TSLA bull. According to the Wall Street veteran, his shift has been nothing short of a religious conversion, and it involved experiences with his daughter, wife, and close friends in the financial sphere.
The Mad Money host noted that one of his initial experiences with Tesla involved his daughter, who drove from Oregon to California. Cramer noted that his daughter was not a car person at all, but she proved very enthusiastic about the all-electric car. This is quite remarkable, as Cramer noted that Tesla essentially turned his daughter into a car enthusiast.
“I think what happened was basically a religious conversion. I went out to California. My daughter had just driven a Tesla from Oregon from where she was living to Los Angeles, and she talked about charging, talked about how fun it was, talked about the flatulence button, and said, you know, ‘Dad, I’ve been driving for 12 years, I’ve never cared about what I drove. It’s never been important.’ She had a beat-up 2008 Ford Fiesta that she’d been driving. She just wasn’t a car person. But Tesla made her into a car person,” he said.
The same enthusiasm over Tesla’s vehicles was interestingly shared by his wife, according to Cramer. Unlike his daughter, his wife is an avid car person, and she loved the company’s all-electric vehicles. But ultimately, the experience that truly changed the Mad Money host’s mind about Tesla was a drive he had with two friends who were Tesla owners. Cramer noted that when he mentioned what he believed were weaknesses in Tesla’s financials, his friend, who was a former CFO, pointed out that the company could raise $2 billion in a snap. That, according to Cramer, was his conversion.
“Then I went out to see a couple of friends of mine. One an executive in a Silicon Valley company, another, a former CFO, and they had all Teslas. And my wife, who is a complete car person, I mean a nut car person, just loves it. Her favorite thing is a ’94 Range Rover that she has. She said, ‘This is it.’ She drove it, and she said, ‘This is it.’ Now we have not bought one yet because she’s frugal enough to be able to say ‘Listen, Jim, you should buy it because you live in Summit, New Jersey, and you can use it as a go-around car.’
“But when I was driving with it, (with) the person who was a retired CFO, I said ‘You know what, my daughter loves it, my wife loves it, it’s so cool, but they don’t have the financials that make it so that I can recommend it at 260 (per share).’ And he looked at me and goes ‘Jim, they could raise $2 billion (just) like that.’ That was a religious conversion. The conversion was right there. Because then, I knew that the balance sheet was not in question,” he said.
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Ultimately, Cramer stated that it came to the point where he realized that it was futile to fight progress. And as it turned out, his bullish turn proved to be the correct decision. According to the Mad Money host, surrendering and recommending Tesla became his best call this year. “I said, what am I doing? Why am I fighting progress? So I surrendered, and it’s the best call I’ve made this year.”
Watch Jim Cramer and Rob Maurer’s Tesla recent discussion in the video below.
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.
Tesla CEO Elon Musk says flying cars are coming
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
