Investor's Corner
Tesla starts setting the stage for the $35k base Model 3’s production ramp
Tesla’s production ramp for the Model 3 has not been easy for the company. Since starting the production of the electric sedan last year, the Model 3 ramp has been beset by multiple challenges, including bottlenecks in both the Fremont factory and Gigafactory 1. That said, Tesla appears to have hit its stride in manufacturing the electric sedan in Q3.
The company’s production and delivery numbers for the quarter are yet to be announced, but estimates, including those from Tesla’s staunchest critics from Wall Street, are high that the company has achieved its target of manufacturing and delivering more than 50,000 Model 3 in the third quarter. And this is despite the company only producing three variants of the electric sedan — the Long Range RWD, Dual Motor AWD, and Dual Motor Performance Model 3. The variant of the electric car that is designed to be a true disruptor in the auto industry — the $35,000 Standard trim Model 3 — is yet to enter production.
The absence of the $35,000 base trim Model 3 in Tesla’s lineup is one of the remaining bear thesis against the company. Some of Tesla’s more aggressive short-sellers even insist that the $35,000 Model 3 is a myth. Kelly Blue Book analyst Rebecca Lindland, who canceled her Model 3 reservation due to delays in the electric car’s production, previously noted to Forbes that she is not sure Tesla will ever make the vehicle.
“I’m not sure there will ever be any $35,000 cars. I think there’s a chance the company will eventually say they’re canceling that version because there wasn’t as much customer interest, that nobody wanted it,” she said.
Elon Musk begs to differ. Earlier this year, Musk noted that Tesla would need to hit its stride producing the higher-margin Model 3 variants before it can begin manufacturing the $35,000 Standard trim Model 3. Musk has since provided brief updates on the vehicle, such as its estimated start of production in Q1 2019, as well as an AWD Dual Motor option for the electric car. Tesla’s head of investor relations Martin Viecha provided an estimated timeline for the electric car’s production while facilitating a tour of Gigafactory 1 as well, stating that the $35,000 base Model 3’s would ramp “in the next eight months,” translating to an April or May rollout.
Considering recent updates from Tesla’s Model 3 ramp, it appears that the electric car maker is starting to make preparations for the vehicle’s production. Gigafactory 1, for example, is set to receive upgrades from Panasonic that would enable it to produce more battery cells. Yoshio Ito, head of Panasonic’s automotive business, noted that three new battery cell production lines would be completed sooner than the Japanese company’s initial “end-of-2018” estimate. Apart from this, Tesla is also receiving upgrades in the form of new Grohmann machines that are expected to be installed at the end of Q3 or the beginning of Q4. The new Grohmann machines are designed to make module production in Gigafactory 1 three times faster and three times cheaper.
In the final weekend of Q3, updates from Elon Musk and the Tesla community suggested that the production ramp for the Model 3 is going even further. In an email to employees, Musk noted that production of Model 3 drive units had reached a rate of 10,000 per week. Reservation holders in forums such as the r/TeslaMotors subreddit have also noted that the estimated timeline for the $35,000 base Model 3 has remained consistent over the past months. As of October 1, reservation holders are given a 3-6 month timeline for the production of the $35,000 electric sedan.
The Tesla Model 3 is a critical part of Elon Musk’s Master Plan, which involved creating a mass-market car that is a preferable alternative to comparably-priced fossil fuel-powered vehicles. At $35,000, the Standard trim Model 3 would be in the same price range as some of America’s most ubiquitous cars like the Toyota Camry, whose top-of-the-line XSE V6 trim is priced at $34,950. Thus, if Tesla plays its cards right, the vehicle could become not just a top-selling electric car — it could very well be a fossil fuel car killer.
In true Tesla fashion, even the $35,000 Standard trim Model 3 is packed with features that are characteristic of the company. The base Model 3 has an estimated range of 220 miles per charge, a 0-60 mph time of 5.6 seconds, and a top speed of 130 mph. Just like Tesla’s less affordable vehicles, the base Model 3 is fitted advanced safety features, including eight cameras, forward radar, and 12 ultrasonic sensors enabling active safety technologies including collision avoidance and automatic emergency braking. Six front row airbags and two side curtain airbags are also fitted on the entry-level vehicle.
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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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