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Tesla is breaking the 'Made-in-China' stereotype with the GF3-made Model 3
Elon Musk and the Tesla team revel in busting stereotypes. This was evident in the Cybertruck’s unveiling, where Chief Designer Franz von Holzhausen literally took a sledgehammer to emphasize the point that EVs can be stronger than conventional rough-and-tough vehicles. In China, Tesla is doing the same thing, but this time, the electric car maker is breaking a stereotype that has been around for a long time: the myth of bad “Made in China” quality.
A study from the Iowa State University reported via Futurity noted that before the words “Made in China” were perceived in the United States as a reference to low-cost and low-quality goods, the perception for Chinese-made products was actually quite positive. Gang (Kevin) Han, an associate professor at Iowa State University’s Greenlee School of Journalism and Communication, noted that things started changing when China became the manufacturing powerhouse that it is today.
“People really enjoyed products from China. They viewed products, such as tea, furniture, or dishware, as unique. It was a quality product and there was a cultural value. But when China became a world factory and produced so many items for so many brands, people changed their views,” he said, adding that the prominent media coverage about issues with China-made products also added to the stereotype. “We see a lot of framed messages in these stories and receive the message subconsciously,” Han remarked.
These stereotypes were promptly invoked by Tesla critics as soon as the electric car maker announced its plans to build a factory in China. Over the course of Gigafactory 3’s construction, it was not rare to find a Tesla critic mocking the alleged quality issues that would most likely plague the MIC Model 3. This point, as with many criticisms thrown at Tesla, appears to have been taken as a challenge by the electric car maker’s team in China. When the company invited the media to experience the Made-in-China Model 3 for the first time, Tesla was serious. It wanted to break another stereotype. And they did.
Reviews of the Made-in-China Model 3 were notably positive, even if the vehicles being produced in the Shanghai-based site are only the Standard Range Plus variants of the all-electric sedan. Despite not having Tesla’s stunning white interior or more fancy 19″ Sports Wheels, the locally-made Model 3s were built with near-surgical precision. The vehicles’ panel gaps were meticulously aligned, their trimmings fit to a tee. In the United States, former GM executive Bob Lutz eventually praised Tesla’s build quality for the Model 3, but only after Tesla mastered the production of the vehicle, which took over a year to achieve. The MIC Model 3 units in China were first production cars, which means that they’ll likely only get better with time.
It’s a bit humorous, but Tesla China’s press images for the MIC Model 3 featured numerous close-ups of the locally-made electric car, and many of them showcased the cars’ smooth paint and consistent panel lines, aspects of the car that proved difficult for the company in the United States. In a way, Tesla China’s MIC Model 3 press images seem to be a direct response against the stereotype, proving that any vehicle made in Shanghai’s Gigafactory 3 matches the quality of a car built in Fremont.
Perhaps most telling of these observations came from local auto journalists who were among the first to review the locally-made Model 3. Tencent Auto editor 常岩, who happens to be a Model 3 owner himself, was invited to check out the locally-made version of his electric car. Much to the auto editor’s surprise, he noted that the build quality of the Gigafactory 3-made Model 3 was actually better than his car, which was imported from the United States. With this conclusion, the auto journalist noted that Tesla’s MIC Model 3 will likely prove successful in the Chinese market, as it offers great quality and features for its price. The locally-made Model 3 is proudly Made in China, and it is just as good, if not better, than other Model 3 in the market.
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Tesla’s Made-in-China Model 3 is poised to make waves in the Chinese EV segment, with the massive Shanghai-based Gigafactory 3 now mass manufacturing the all-electric sedan. Recent flyovers of the Gigafactory 3 complex have revealed hundreds of MIC Model 3 just ready for delivery. Car carrier trucks loaded with Model 3s have also been photographed leaving the Gigafactory 3 premises. With these sightings in mind, it may only be a matter of time before deliveries of the locally-made electric car begins in the country.
Watch an existing Tesla Model 3 owner review the MIC Model 3 in the video below.
H/T Ray4Tesla/Twitter
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.
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.
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.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
