Investor's Corner
Tesla shareholder sells home to load up on stock, and it’s already paying off
Tesla shareholders are a rare breed, sometimes putting almost everything, and we mean everything, on the line in hopes of striking it big and making major waves in their own portfolios.
Jason DeBolt is one of those shareholders.
DeBolt, a shareholder since March 26, 2013, sold his home and bought around 10,000 shares. The additional 10,000 shares supplemented the 38,000 he already owned.
He began buying the 10,000 additional shares slowly over the last several weeks on margin, or using a loan from a brokerage to buy more shares, in the $128-139 range before the company’s most recent Earnings Call.
As of Thursday, he was up $250,000 on his most recent investment using funds from the sale of his home. “Closed out margin today with house proceeds. Have cash. Feeling good,” he Tweeted.
Sold my house and bought around 10,000 $TSLA shares. Own 48,000 shares now.
Purchased all shares slowly over last few weeks before earnings on margin in $128-139 range. Up $250k on these shares already. Closed out margin today with house proceeds. Have cash. Feeling good.$TSLA pic.twitter.com/aIW7m8d9FJ
— Jason DeBolt ⚡️ (@jasondebolt) January 26, 2023
In an exclusive interview with Teslarati, DeBolt shared his inspiration for the bold move. He noted that Tesla’s attractive stock price was what inspired him.
“Mainly, the attractive Tesla stock price is what drove me,” DeBolt detailed. “It was just too cheap to ignore. Tesla’s stock price had dropped 76 percent from an all-time high of $415 to $101 in a little over a year. During this period, Tesla grew revenue by 51 percent, doubled its net income, rolled out FSD to tens of thousands of people, and began ramping up Megapack production at Lathrop.”
The developments Tesla made over the past year were too good to ignore for DeBolt, even as some speculated that CEO Elon Musk’s acquisition of Twitter had caused the spiraling of the stock price.
“Many Tesla investors blamed Elon’s behavior for having a role in the drop, but I was trying to find a way to get cash to buy more shares. Selling my house was the obvious answer,” DeBolt said. I didn’t wait to receive the proceeds from my house sale and used a margin loan to accumulate 9,500 Tesla shares before earnings, resulting in a $400,000 gain two days after Tesla earnings on those shares alone. I currently hold 48,000 Tesla shares.”
His investments enabled him to retire from his day job as a software engineer on January 7th, 2021, at the age of 39.
DeBolt’s journey with Tesla shares began long before that. DeBolt has supported Tesla since he saw the Roadster in 2009 and the early Model S prototype at the San Mateo Maker Faire.
“I ordered a Model S in 2011 and took delivery in 2013. I purchased thousands of shares for about $2 a share after seeing the Fremont factory and driving my Model S for the first time,” DeBolt said. “I continued buying shares when nobody wanted the stock. It was obvious to me that Tesla was going to disrupt the entire automotive and oil industries back then because EVs are fundamentally superior to gas vehicles in every way, and there were no serious competitors to Tesla back then. This is true today as well.”
After selling his home, DeBolt rented a new place near the beach in Los Angeles, California.
Today I’m retiring from the corporate world at age 39.
Not selling any shares for the foreseeable future. $TSLA pic.twitter.com/wCDZJlPdoX
— Jason DeBolt ⚡️ (@jasondebolt) January 7, 2021
“There’s a bit more freedom. The last two years of retirement have been amazing. Still, I’m starting to look for something to build and do with my time, so I’m exploring areas such as machine learning, finance, and philosophy in addition to my ongoing Tesla research. My life is pretty dope, and I’m doing exactly what I want to be doing. I try to stay physically fit. I’m quite fortunate.”
Disclosure: Johnna is a $TSLA shareholder and believes in Tesla’s mission.
Your feedback is welcome. If you have any comments or concerns or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.
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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
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.
SpaceX achieves incredible milestone with Starlink program
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