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The ‘Elon Musk Method’ explains Tesla’s runaway success in the EV sector
Over his 16-year tenure at Tesla, Elon Musk went from knowing very little about the automotive business to being the CEO of the world’s most valuable carmaker by market cap. The journey towards Tesla’s current place in the electric vehicle sector, together with the numerous small milestones that the company has achieved over the years, is partly due to Musk’s style. Without the “Elon Musk Method,” Tesla’s successes would likely have been not as notable, and most certainly not as radical.
As noted in a Reuters article, Elon Musk’s record has shown that beyond the rockstar bravado that he displays on social media platforms like Twitter at times, the Tesla CEO is a quick learner who is smart and strategic enough to forge alliances with companies that had tech that Tesla lacked. Musk would then follow this up by hiring the smartest people available in the industry, before powering through boundaries that limited companies that are more risk-averse.
Under Musk’s leadership, Tesla flourished as a vertically-integrated electric car maker. From computers to car seats and now to battery cells, Musk is intent on making Tesla more and more independent. Speaking with the news agency, a former senior executive at Tesla noted that Musk is consistently set on pursuing improvements that would make something better, faster, and cheaper. “Elon doesn’t want any part of his business to be dependent on someone else. And for better or worse – sometimes better, sometimes worse – he thinks he can do it better, faster and cheaper,” the executive said.
According to people familiar with Tesla’s strategy in its early days, Musk has always been looking to learn more about the auto industry. He accomplishes this through several means such as strategic partnerships and aggressive talent recruitment. Back then, the goal of Tesla was reportedly to create a digital version of Ford’s iron-ore-to-Model-A production system, which was developed in the late 1920s. Former Tesla supply chain executive Tom Wessner noted that during these times, “Elon thought he could improve on everything the suppliers did – everything. He wanted to make everything.”
Among these components, of course, were the battery cells that are used for Tesla’s electric cars. Musk’s subordinates have reportedly argued against the idea of developing proprietary battery cells, but the CEO has been adamant about his goal. A former Tesla veteran who spoke to Reuters added that such a reaction from Musk is well within character. “Tell him ‘No’ and then he really wants to do it,” the veteran said. This is something that has happened in the past, as Musk was reportedly looking into battery cell manufacturing since 2011, well before going into a close partnership with Panasonic in 2013.
Tesla’s relationship with Panasonic could be described as a roller coaster ride. Tesla’s demands during the Model 3 ramp appeared to have strained the capabilities of its Japanese partner, and last year, reports emerged alleging that the two companies were growing apart. Yet even with the upcoming debut of Tesla’s Roadrunner cells, Panasonic maintains that it has a strong relationship with Tesla. “There has been no change in our relationship with Tesla. Our relationship, both past and present has been sound. Panasonic is not a supplier to Tesla; we are partners. There’s no doubt our partnership will continue to innovate and contribute to the betterment of society,” a Panasonic spokesperson stated.
It appears that Tesla’s long partnership with Panasonic is part of the building blocks of the Roadrunner project. True to form, Musk likely used the knowledge he learned from the veteran Japanese firm to help create an in-house battery cell production line that could be perfectly designed for Tesla’s electric vehicles and energy products. This, in a way, echoes much of Tesla’s development alliance with Daimler in the past. Daimler was an early investor in Tesla, and during the time, Musk reportedly became very interested in sensors that could help keep cars within lane lines. As noted by a senior Daimler engineer, the Tesla Model S lacked the necessary cameras and driver-assistance sensors to match the flagship features of the Mercedes-Benz S-Class then. Musk and the Tesla team then went to work, and the result was history.
“He learned about that and took it a step further. We asked our engineers to shoot for the moon. He went straight for Mars,” the Daimler executive said.
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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
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
