Tesla’s potential as a future battery supplier for other automakers is being paved by the ongoing struggles of the company’s rivals today. This idea is becoming more and more feasible as more and more veteran automakers experience battery-related challenges in their respective electric car programs.
Building electric cars is no easy task. As evidenced by the issues plaguing the rollout of the mass-market Volkswagen ID.3, making good electric vehicles is not just a matter of stuffing an electric motor and batteries in an existing platform for an internal combustion car. Making EVs, especially good, high-performing ones like the Tesla Model 3, requires mastery of a different set of skills, such as software management and battery optimizations.
The latter is where a vast divide exists between Tesla and legacy automakers today. Tesla utilizes its own proprietary battery tech for its vehicles. The 2170 cells for its Model 3 sedan are even being produced at Giga Nevada, a massive factory that is poised to become one of the largest in the world by footprint once it’s completed. Veteran automakers, on the other hand, rely on suppliers such as LG Chem to supply their EVs’ batteries.
LG Chem supplies cells to several automakers, including Audi and Jaguar, whose e-tron and I-PACE both utilize the company’s batteries. Rivian, which uses 2170 cells for the R1T pickup and the R1S SUV, source their cells from the South Korean firm as well. More recently, even startup Lucid Motors, which is reportedly on the cusp of releasing its first vehicle, the Air, also announced that it would be sourcing cells from LG Chem. This is great for LG Chem, as it validates the quality and capabilities of its batteries, but it also does not bode well for all the companies looking to acquire adequate battery supply for their electric cars.
As it is, LG Chem appears to be having difficulties meeting the demand for its vehicles already. Shortages of cells from the battery manufacturer have reportedly become the cause for the recent halts in the Audi e-tron and the Jaguar I-PACE’s production. And this is just with premium-priced, mid-volume SUVs. When high-volume vehicles enter the market, such as the Volkswagen ID.3 (which also gets some of its cells from LG Chem), the South Korean firm will likely find it even more challenging to supply batteries to all its clients.
This supply issue could become a serious challenge to the electric car revolution. With this in mind, and with even more electric cars coming in the next few years, a need for another battery supplier emerges. This is where Tesla comes in. Tesla has been expanding its business to not just focus on building electric cars, as evidenced by the company’s energy and battery storage initiatives. Considering Tesla’s experience in building EVs, as well as the industry-leading quality of its batteries, the company may very well be poised to become one of the leading suppliers of cells for other electric car makers.
Interestingly enough, CEO Elon Musk has mentioned the possibility of Tesla serving as a supplier of batteries and powertrains to other automakers in the past. This was explained by Musk himself during the Q3 2019 earnings call. “It would be consistent with the mission of Tesla to help other car companies with electric vehicles on the battery and powertrain front, possibly on other fronts. So it’s something we’re open to. We’re definitely open to supplying batteries and powertrains and perhaps other things to other car companies,” he said.
Fiat-Chrysler CEO Steve Manley also suggested the idea during a Q&A session. Speaking about the company’s electric vehicle strategy, Manley mentioned that Fiat-Chrysler would likely be purchasing key electric car components from the Silicon Valley-based company. “It would be wrong of me to say no,” Manley said, adding that batteries and drivetrains will likely be among the parts that FCA will be purchasing from Tesla. The CEO also expressed the possibility of FCA acquiring a “skateboard” platform from Tesla, which it would use for its own vehicles.
Tesla is at a point where its lead in the electric car space is undeniable. The company is also at a point where its manufacturing systems are more refined than before. Tesla may thus be reaching a stage where it is large and robust enough to support other automakers that are also adopting electric cars. As veteran carmakers transition into EVs, those who can secure battery supply from Tesla will likely be the ones that will survive what could very well be a painful and costly move towards sustainability.
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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
