Investor's Corner
Tesla’s final Model 3 push for Q3 unfolds as ‘delivery logistics hell’ gets addressed
Over Q1 and Q2, Tesla has exhibited a tendency to expedite its Model 3 production and deliveries in the final month of a quarter. The company did this last March when it was struggling to produce 2,500 Model 3 in a week, and the same strategy was adopted in June as Tesla attempted to hit its then-mythical target of producing 5,000 Model 3 in one week.
This third quarter, Tesla is going for something more ambitious. The company aims to produce 50,000-55,000 Model 3 between June and September while achieving profitability at the same time. To accomplish these goals, Tesla would have to not only produce, but also deliver the Model 3 to as many reservation holders as it can. Such a scenario has resulted in new challenges for Tesla, with Elon Musk dubbing the circumstances as “delivery logistics hell,” which the company is now experiencing just as it left “production hell.”
Earlier this week, Elon Musk admitted to the company’s difficulties in delivering the Model 3 while apologizing to a reservation holder whose delivery had been delayed multiple times. In his response, Musk noted that “delivery logistics hell” should be solved faster than “production hell,” as the issues are far more tractable. Musk also stated that Tesla is making rapid progress in addressing its Model 3 delivery issues.
With less than two weeks to go before the end of the third quarter, reports from the Tesla community are starting to indicate that the company is indeed addressing its delivery challenges. Megan Gale, the reservation holder that Musk responded to earlier this week, recently posted an update stating that the center in her area is getting Model 3 deliveries out in a rapid manner. She was also finally able to receive her Model 3 Performance.
Tesla’s Model 3 delivery push does not seem to be exclusive to the United States, either. Social media posts from Model 3 reservation holders in Vancouver suggest that Tesla is pushing deliveries until 10 p.m. every day, as part of its attempt to deliver the electric car en masse to Canada.
Vancouver #Tesla $tsla is delivering Model 3s until 10pm everyday. Demand is insane. pic.twitter.com/rKHN86wj3z
— Hanky Frunk (@rocketL49) September 19, 2018
Tesla has been laying the foundations for faster deliveries of the Model 3 for the past couple of months. At the beginning of Q3, Tesla started rolling out the 5-Minute Sign & Drive delivery program as a way to expedite the handover process of the Model 3. Elon Musk also announced that the company is looking to eliminate paper contracts in the delivery process. Earlier this month, Tesla also held a “First Come, First Serve” delivery day for Long Range RWD Model 3 units in CA, where first-day reservation holders were able to acquire vehicles that are ready to be driven home.
While it remains to be seen how many Model 3 would be produced and delivered this quarter, both Elon Musk and board member Kimbal Musk have teased that the company would likely surprise the market at the end of Q3. In a letter to employees, Elon Musk noted that Tesla is “about to have the most amazing quarter in (its) history, building and delivering more than twice as many cars as (it) did last quarter.” Kimbal, on the other hand, noted in a recent segment of CNBC‘s Closing Bell that September is an exciting month for Tesla, considering that the number of Model 3 that would appear in US roads within the next couple of weeks would be astonishing.
“This month is an exciting month for us. You know, it’s really gonna blow people’s minds how many Model 3s are gonna appear in America in just the next couple of weeks,” he said.
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.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
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.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
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.
