Tesla owner Lily Fetterer shared her story of how she began racing her Model 3. It was a chilly September Sunday morning in San Francisco when I met with Lily to explore the city in her silver Tesla Model 3. Lily, a member of the Tesla Owners Club of East Bay, had kindly offered to give me a tour of the city, including a few places to look out over the bay.
The morning fog showed up to join us for most of the day, and as I climbed hills and mountains, well, they seemed like mountains to me, I got to know Lily. One of the first things I noticed about her Model 3 was that it had TeslaCorsa 24 emblazoned on both the driver’s and passenger’s side doors.
TeslaCorsa, sponsored by Unplugged Performance, was founded to encourage Tesla owners to experience the limits of their cars in a professionally managed race track environment. Lily is a race car driver who shared her story with me.
I asked her how she got into racing and how long she’d been racing. Lily and her family are fans of Tesla and already owned a Model X.
“The plan was to get the Model 3 as soon as it came out, and that’s exactly what we did. The 2018 model 3 RWD long range is the car that I race in.”
“I tried to find new hobbies to pursue that would be safe given Covid restrictions. I love driving fast in my Tesla, so I was ecstatic when I found TeslaCorsa while browsing the web.”
“I joined for the 10th TeslaCorsa event at Laguna Seca. They told me that if I could do that course in two minutes, I might have some talent that would be worth pursuing. I got two minutes and four seconds, which was close enough. I’ve been racing ever since.”
Lily told me it was a bit intimidating as a middle-aged woman who races in an EV.
“I am often the only female racing. At my first Tesla Corsa event, another female was also trying it out for the first time with her boyfriend. At other events, racers have had their parents participate too. I love how it’s an experience that people want to share with others. Racing is something that many can enjoy, not just hard-core racers.”
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Lily pointed out that a big reason for her success is the great support she gets from other racers.
“Tom Mak, one of the best TeslaCorsa racers, has been my mentor throughout the process. He’s always showing me videos, giving me feedback, riding with me, and encouraging me to be better.” Steven Case has also driven with me and driven my car, so I can understand how to push my car to its limits”
Around the same time Lily began racing, she got involved with the Tesla Owners Club of East Bay.
“I absolutely love the club. I think they do so many wonderful activities,” she told me. Lily noted that there are a lot of great Tesla clubs in the area but what she likes most about the East Bay club is that they have a lot of family-friendly events.
“We did a cruise to the top of Mount Diablo recently. They have a lot of fundraisers as well. I think that’s the thing I love the most. They give back to the community. It’s not just about getting people together and having fun, but it’s about giving back. At almost every event, there’s a donation aspect.”
“The Tesla Owners Club of East Bay frunk or treat event is coming, and I hope to win that competition. Halloween is my favorite holiday, and I love The Nightmare Before Christmas. I’m a huge addict, so my house and my frunk will be decked out with that theme. The frunk or treat will be at Ehrenberg cellars in Livermore so the kids will have candy, and the parents will have wine. “
“There’s also an upcoming TOEB event on November 18th where club members will help us change our cabin air filters, and in exchange for the help, we bring a bag of groceries to donate for less fortunate people. “
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I asked Lily to share her advice for any women and girls who may want to get into racing.
“Don’t be afraid to give it a try. It’s different than driving on a freeway because you have tight turns, corners, and walls. Not all tracks are the same, so you can work your way up to trying more difficult tracks later. Racing is exhilarating, and if you like skiing or any speed activity, you’ll probably enjoy it too. I think that when people give it a try, they’ll find themselves hooked.”
Disclosure: Johnna is a $TSLA shareholder and believes in Tesla’s mission.
Your feedback is essential. 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
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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
