Investor's Corner
Tesla’s China factory can’t arrive soon enough amid escalating US-China trade war
Amidst the escalating trade war between the United States and China, American automakers such as Tesla have become the first victims of renewed, hefty tariffs on US-made products entering the country. In response to the 25% duties imposed by the United States government on $34 billion worth of Chinese imports last week, China has decided to strike back by placing a 40% levy on vehicles made in America.
The latest tariffs have forced Tesla to raise the prices of its Model S luxury sedan and its Model X SUV by 150,000 yuan ($22,647) to 250,000 yuan ($37,744). With the new duties in place, a fully-loaded Tesla Model S P100D now costs 1.47 million yuan ($221,937) in China, a far cry from the $147,000 price of the vehicle in the United States.
The latest tariffs come at a time when China implemented a reduction of its import duties for foreign-made vehicles from 20-25% to 15%. On the heels of the Chinese government’s announcement earlier this year, the response from Tesla’s customer base in the country was immediate. In Tesla’s Shanghai gallery alone, prospective buyers cleared out the store’s entire Model X 75D inventory in 24 hours after it was announced that the price of the vehicle would be reduced by $11,000 after the 15% tariffs were implemented.
While it is unfortunate to see the ongoing trade dispute between the United States and China once more affecting the prices of Tesla’s vehicles in the country, it is pertinent to note that even with hefty taxes placed on its electric cars, Tesla was fighting the good fight in China, and it was still thriving. The company, after all, established its presence and its reputation under an environment where its cars were priced far beyond its local competition.
Tesla’s story in China is one that showcases the learning curve that the California-based electric car and energy company continues to go through. Tesla began taking pre-orders for the Model S in China in August 2013. At that point in Tesla’s history, CEO Elon Musk was not even sure how much the production vehicle would cost. Deliveries were also expected to be eight months away. Anticipation among Chinese buyers, however, were high nonetheless, thanks to a combination of factors including Elon Musk’s rockstar status, as well as talks about the vehicle’s performance and supercar-worthy acceleration. Pre-orders for the Model S topped 5,000 that year.
Unfortunately, Tesla was not able to support these first Model S owners properly. Due to miscalculations on its business strategy, Tesla ended up with a lot of disgruntled Chinese owners. One Model S buyer even made national news after he smashed the windshield of his own Tesla after the car arrived months later than expected. To top it off, the Supercharger network, widely considered as Tesla’s ace in the electric car industry today, was still in its infancy then, and China only had a small system centered around key cities. Things changed, however, on January 2015, when Elon Musk flew to China and met with President Xi Jinping. Musk also admitted to Tesla’s “earlier mistakes,” stating that he was nonetheless “very optimistic” about the company’s chances in the country. Tesla also attended the Shanghai Auto Show, sparking more interest in its electric vehicles.
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- Tesla’s grand opening of its Changsha, China store. [Credit: @vincent13031925/Twitter]
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- Credit: Dennis Chang via Twitter
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- Tesla’s grand opening of its Changsha, China store. [Credit: @vincent13031925/Twitter]
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- Tesla’s grand opening of its Shenzhen, China store. [Credit: @vincent13031925/Twitter]
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In the months that followed, Tesla expanded its Supercharger network, curbing the “range anxiety” of China’s electric car owners. Word-of-mouth about the company’s non-dealership sales model also started spreading. Tesla’s business in China experienced a massive boost when it introduced the Model X as well, considering the country’s obsession with SUVs. Government regulations, such as Shanghai’s electric-car friendly license plates gave even more benefits to Tesla. By the end of 2017, Tesla had already opened the largest Supercharger in the world in Shanghai. The company’s sales in the country in 2016 also helped boost its revenue enough to join the Fortune 500 list for the first time.
With Tesla’s history in mind, the renewed tariffs from the United States and China’s ongoing trade dispute could actually have little effect on Tesla’s overall operations in the country. The new duties will result in lost sales — that much is a given — but Tesla’s pedigree as a luxury automaker that makes cars that are the ultimate status symbols in China remain undaunted.
Tesla’s approval for its China site from the Central Committee of the Communist Party of China. [Credit: vincent13031925/Twitter]
Tesla, after all, has not really started its mass market push in China. The Model 3 and the Model Y, the company’s two vehicles that are targeted to dominate in the midrange segment, have not arrived in the country as of yet. With Elon Musk confirming during the Q1 2018 earnings call that the next Gigafactory will be in China, and that the facility will incorporate vehicle production, the solely-owned factory should allow Tesla to avoid the import taxes imposed on its upcoming, more budget-friendly vehicles — trade war or no trade war.
Tesla’s China Gigafactory is expected to be the site where the electric car maker will manufacture the Model Y crossover SUV, as well as some of the Model 3. Both vehicles are targeted towards the mass-market, with Tesla estimating that the Model Y could see a demand of up to 1 million vehicles per year. With the Model Y and Model 3, Tesla could compete in China not only in the luxury segment, but on the more lucrative and more competitive midrange market as well. For now, however, Tesla’s efforts to establish its own factory in China seems to be going well, with the company being granted a final approval for its solely-owned electric car facility by the Central Committee of the Communist Party of China.
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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