Investor's Corner
Tesla’s last-month Model 3 production blitz for Q3 will likely be its most impressive yet
This Q3 2018 would likely be one for Tesla’s history books, since this could be the time when the company hits a breakthrough point in its journey towards becoming a mainstream carmaker. Amidst the noise last Friday resulting from the departure of two executives and Elon Musk’s actions during a podcast, the company released an update stating that it would likely deliver twice as many cars this third quarter as it did in Q2 2018.
Tesla’s optimistic and bold forecast for the third quarter, which was authored by Elon Musk, was published on the company’s official blog. The post was a letter sent to Tesla employees, and it noted that the company 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.”
Tesla delivered a total of 40,740 vehicles in Q2 2018, of which 18,440 were Model 3, 10,930 were Model S, and 11,370 were Model X. The company was able to manufacture a total of 53,339 vehicles during Q2 as well, comprised of 28,578 Model 3 and 24,761 Model S and X. Considering Musk’s recent letter to Tesla’s employees, it appears that Tesla is attempting to deliver more than 80,000 Model 3, Model S, and Model X this Q3.
It took a lot of pain and effort to get to this point. Tesla’s trials and Elon Musk’s tribulations since the company started manufacturing the Model 3 are well-documented. Since July 2017, Tesla faced bottleneck after bottleneck in its Fremont factory and at Gigafactory 1 in Nevada. The progress of Tesla’s Model 3 push was nothing short of “production hell,” and CEO Elon Musk was not exaggerating when he described the past year as one of the “most painful” 12 months of his career.
The second quarter appears to have been a pivotal point in Tesla’s Model 3 push, as it was the quarter when it was finally able to hit its manufacturing targets for the first time. Tesla was able to produce 5,000 Model 3 during the final week of June, on top of 2,000 Model S and X. This 7,000-vehicle week was considered a milestone by the company, though it was considered unremarkable by Ford Europe CEO Steven Armstrong, who stated that the legacy automaker could produce 7,000 vehicles in 4 hours. Tesla’s critics were also dismissive of the production milestone, stating that the company would probably not be able to maintain its optimum production rate for the Model 3 during the following months of Q3.
Tesla appears to have taken these criticisms as a personal challenge to prove its critics wrong. During the company’s Q2 2018 earnings call, Elon Musk noted that Tesla was able to produce 5,000 Model 3 per week during “multiple weeks” in July. In August, Tesla showed even more signs that the Model 3’s production was still going full throttle. The Model 3’s VIN filings rocketed past the 100,000-mark, and Bloomberg‘s production tracker, which has only gotten more accurate during the past months, estimated that at one point in August, Tesla produced more than 6,000 Model 3 in a week. Evercore ISI analysts who visited the Fremont factory also concluded that Tesla could ramp to 7,000-8,000 Model 3 per week with minimal CapEx.
September is the final month of the third quarter, and Tesla is already showing indications that its Model 3 push would only get more aggressive. Reports have emerged that Model 3 VINs in the 100k range are already being assigned to reservation holders. A Tesla employee who works at Fremont’s paint shop has also teased on Twitter (in a post that has since been deleted) that production is going well, and that the company is “smashing records.”
During the past two quarters, Tesla has shown a tendency to adopt radical and unorthodox strategies to push its manufacturing capabilities during the final month of a quarter. In Q1, the last week of March saw Tesla going all-in to produce more than 2,000 Model 3 in a week. In Q2, June saw the company setting up GA4 inside a sprung structure as a means to hit its production target of building 5,000 Model 3 in one week. It remains to be seen if Tesla would adopt something similarly unique for Q3, but one thing seems certain — the company is about to go on a production blitz at a scale unmatched in the company’s history.
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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.
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