Investor's Corner
Tesla’s timeline for Gigafactory 3 in China is actually pretty conservative
Following reports that Tesla CEO Elon Musk has signed a preliminary agreement with Chinese authorities to build a solely-owned facility in Shanghai, questions have been raised by Wall St. skeptics and investors alike on how the California-based electric carmaker plans to fund development of its overseas factory.
Dubbed Gigafactory 3, the planned facility in China is expected to produce as many as 500,000 electric vehicles per year, doubling the production capacity of Tesla’s current facilities, and begin construction once permits and approvals are completed.
Tesla noted on Tuesday that vehicle production at Gigafactory 3 would start roughly two years after its construction begins, and ramp to a 500,000 vehicle per year production rate within 2-3 years. Such an aggressive timeline is classic Elon Musk, especially considering that components of Gigafactory 3, such as the advanced manufacturing robots and machinery that would be used to build the vehicles, would likely be coming from abroad. In a recent segment of Bloomberg Markets, Consumer Edge Research senior auto analyst James Albertine stated that the timeline of Gigafactory 3’s construction is simply “not feasible.”
While aiming to have its first electric cars roll off Gigafactory 3’s vehicle assembly lines within two years from construction is undoubtedly an ambitious goal, Tesla’s target dates are a lot more conservative than what critics would think. For one, Gigafactory 3 is being built in China, a country with a construction workforce that is optimized for quick, large-scale projects. This is something that Musk had mentioned back in February, when he noted that China’s progress in advanced infrastructure is “more than 100 times faster than the US.”
Musk’s statement on Twitter about China’s advanced infrastructure is reflected by feats of construction from the country’s workforce. Earlier this year, 1,500 workers in Eastern China set up a track replacement for a train station in just 8.5 hours. A time-lapse video of the event became viral, mainly due to the project having been conducted with near-surgical precision. Back in 2015, China also made headlines for its rapid construction after Broad Sustainable Building, a prefab construction firm in the Hunan province, managed to complete a 57-story skyscraper in just 19 days using a modular building method.
Also, if Tesla’s Nevada Gigafactory is any indication, the entire facility does not need to be completed before it can start its operations. Tesla started brush clearing and grading the land for Gigafactory 1 in the summer of 2014, and as of date, the expansive battery factory is still less than 30% complete. Despite this, the facility has already stepped up to provide enough battery packs to support the ongoing ramp for the Model 3, which recently managed to exceed a rate of 5,000 vehicles per week.
Drawing parallels to the sequence of events that have taken place at Tesla’s Nevada-based Gigafactory 1 over the years, reaching completion of several key sections in the China factory would be enough for the company to begin manufacturing of its vehicles without prior to full factory buildout. Considering the speed of China’s workforce, these key sections would likely be finished earlier than Tesla’s estimated two-year timeline.
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Shanghai Municipal Party Committee Secretary Li Qiang meets with Elon Musk. [Credit: Weibo]
If there is one thing that could put a damper on the rapid development of Tesla’s China factory, it would be the funding needed for the ambitious project. Gigafactory 1 in Nevada, which produces battery packs, motors, and drivetrains, is estimated to cost around $5 billion when complete. Gigafactory 3, which incorporates both battery and vehicle production, would likely be in the same ballpark, if not more expensive.
With the state of Tesla’s finances today, the company has three main options to come up with the money to build Gigafactory 3. Tesla could go back to the equity market to fund the facility’s construction, just as it has done before. The company could also raise “debt” financing, however, its credit rating may have an impact on the company’s ability to negotiate favorable terms. One likely option that would allow Tesla to quickly fund the development of its factory in China is to partner with local investment banks. One of Tesla’s largest shareholders, China-based Tencent, already owns a 5% stake in the company.
There is also a fairly good chance that Tesla would receive major subsidies and tax relief from the Chinese government. The country, after all, is aggressively pushing electric cars as a preferred mode of transportation, with the country aiming to sell 2 million electric vehicles by 2020 and attain an ICE to EV ratio of 1:1 by 2030. With these own goals in mind, it does appear that it would be in China’s best interests to ensure that Tesla manages to build Gigafactory 3 without any difficulty. After all, the faster Tesla can start building its vehicles like the Model Y crossover SUV and some of the Model 3 in China, the better it would be for the country’s electric car market.
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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