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Tesla’s marketing strategies in China could address the negative narrative in the US
Over the course of the massive roller coaster ride that was Tesla’s first and second quarters this year, it has become particularly evident that the electric car maker is dealing with a lot of misinformation. After the first quarter’s lower-than-expected results, for example, Tesla faced multiple narratives suggesting that the demand for the company’s vehicles was fast declining, and that its growth story was dead. It was not until Tesla revealed its higher-than-expected delivery and production numbers in the second quarter that the narrative surrounding the company shifted a little bit for the better.
Being one of the most shorted companies in the market, Tesla is no stranger to misinformation campaigns. The company’s vehicles consistently rank high with safety agencies, yet the idea that the Model 3, S, and X are dangerous and catch fire all the time continues to persist. Tesla’s quarterly safety reports have consistently shown that fewer accidents happen when Autopilot is activated, but the driver-assist system is perceived as dangerous by a notable demographic of would-be car buyers nonetheless — and these are but the tip of the iceberg.
One of the most striking portions of Tesla’s 2019 Annual Shareholder Meeting last month involved a number of retail investors brainstorming solutions to address the alarming amount of misinformation surrounding the company. Responding to the concerned shareholders, Elon Musk admitted that he is at a little bit of a loss when it comes to battling the negativity surrounding Tesla, though he expressed his dislike for advertising campaigns that are deceptive to consumers. Nevertheless, considering that the Tesla Model 3 is now breaking into a market that is larger than it has ever dealt with before, it would be wise for the electric car maker to find a solid, subtle strategy that allows it to reach a wider audience, while shifting the narrative to a more positive direction in the process.
What is pretty remarkable is that Tesla does not need to look far to find a marketing strategy that works without being deceptive. Over in China, there is a company that has shown a notable degree of cleverness with its marketing efforts, utilizing creative campaigns that help improve the perception of the public to its brand. That company is Tesla.
Tesla has been around in China since 2014, when it started delivering the Model S to the region. For the most part, Tesla has competed much like a niche carmaker in the country, with the Model S and Model X being high-priced premium vehicles that are, in some way, considered as status symbols for the wealthy. This is changing with the arrival of the Model 3, as the electric sedan’s lower price opens up the Tesla ecosystem to a far broader demographic. The buildout of Gigafactory 3 in Shanghai, which will be producing locally-made Model 3 and Model Y, will make Tesla’s vehicles even more accessible to the mainstream market in the near future.
With Model 3 deliveries already underway and with Gigafactory 3’s buildout progressing faster than expected, it is pertinent for Tesla to ensure that the company is well marketed for Chinese consumers. This is where things get particularly interesting, since Tesla has been conducting a subtle, clever, and likely effective marketing campaign for the Chinese market as of late. Immediately noticeable is the care that the company has taken to respect the country’s culture and traditions, as shown in the tastefully-designed cards Tesla sent out during last month’s Dragon Boat Festival, and the reviewers that the electric car maker released for high school students in the days leading up to the national college examination. These were simple gestures, but they showed that Tesla is a company that is respectful and grounded.
Other marketing campaigns that have raised Tesla’s visibility in the Chinese market have been equally tasteful. Just recently, Tesla and QQ Music, a popular music streaming service in the country, held a series of “Music Parties” in key cities. These were hip events that were aimed at the younger demographic, many of whom are or will be looking to buy their first vehicle in the near future. The company has also launched a Tesla Performance Driving School, which involves the company hiring professional drivers to teach Model 3 owners how to get the most fun out of their vehicles. This program promotes the capabilities of the Model 3 Performance, while giving the impression that Tesla is a responsible company that encourages high-speed driving in safe, regulated environments.
Also notable were Tesla-organized road trips, which are extended journeys over scenic routes that are aimed at promoting the company’s vehicles and the convenience of the Supercharger Network. Online, Tesla’s active marketing strategies in China are quite impressive as well, as evidenced by the spread of tutorials featuring its vehicles and their features. These pages, one which could be accessed here, feature clear guidelines about Autopilot’s proper utilization, its features, its limitations, and the responsibilities of the driver while the system is in use.
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When it comes to battling misinformation, the best strategy is always to provide the right information. To shift a subjectively negative narrative, it is best to foster an objectively positive narrative. Contrary to Elon Musk’s statements during the Annual Shareholder Meeting, it appears that Tesla already has a pretty good strategy that has the potential to address, at least to some degree, the misconceptions and misinformation surrounding the company in the United States. Granted, Tesla currently enjoys widespread support from the Chinese government, and the United States is a far more challenging market than China, but considering what’s at stake, these marketing efforts might very well be worth a try.
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
