Investor's Corner
The ‘Tesla Effect’ is starting to extend from legacy carmakers to the oil industry
Back in February, self-made billionaire Don Gao from China mentioned that the “Tesla Effect” continues to grow even in markets beyond the California-based company’s reach. Gao, who owns Positec – a maker of power equipment – uses lithium-ion batteries for his company’s products, and they are steadily becoming a potent rival for heavyweight brands like Black & Decker. The billionaire entrepreneur noted that Tesla’s commitment to battery tech is spilling over into other industries, to the point where consumers’ perception of battery-powered devices is now changing.
“This Tesla Effect is a major trend and has really changed consumers’ perception of things that are battery driven and their capabilities,” he said.
Tesla did not come up with the electric car, nor did it come up with lithium-ion batteries. Both technologies were present even before the company was founded. That said, and partly thanks to the unraveling of Elon Musk’s first Master Plan, Tesla was able to capture an audience and a dedicated consumer base with its first vehicle – the Tesla Roadster. The small sports car was mostly a proof-of-concept, in the way that it was intended to show that electric cars need not be boring or limited in range. The car was successful enough that Tesla was able to follow it up with the Model S, a vehicle designed from the ground up to be a high-performance, long-range electric car. The rest is history.
Tesla’s electric cars were able to capture the interest of car buyers, even those that are particular about power and performance. It should be noted that Tesla’s electric cars were showing strong sales even before the company rolled out features like Autopilot. The company’s electric vehicles, from the Model S, to the Model X, to the Model 3, were desirable simply because they were excellent cars. They just happen to be powered by electricity instead of gas.
Since Tesla is still in the process of growing, its electric cars have been competing in the luxury segment. The electric vehicles themselves are not traditional luxury cars, with their minimalistic and almost spartan interiors, but they do provide a premium experience through their deep integration of software and hardware. Over the years, Tesla’s electric cars sold well, until such time that they started outselling mainstays from legacy carmakers like BMW and Mercedes-Benz. The Tesla Model 3, the company’s first attempt at a mass-market car, was recently listed as the 4th best-selling passenger car in the US, beating out competitors from the luxury midsize segment like the Mercedes-Benz C-Class.
In the same way that companies unrelated to Tesla are starting to explore the potential of lithium-ion batteries partly due to the electric car maker, a number of legacy automakers have accelerated their transition to electrified transport as well. Among the German carmakers, several have expressed their intent to come up with their own premium electric vehicles. Mercedes-Benz has the EQ program, Volkswagen just announced that it is investing ~$7 billion into e-mobility, and Porsche has the Taycan, a high-performance electric car that’s set to meet the Model S head-on in the premium EV market. Most of these carmakers would likely not acknowledge it, but there is little doubt that the transition to electrified transport was expedited by the efforts of a small electric car startup from Silicon Valley.
In a way, the Tesla Effect is happening at the perfect time. Several regions in the world are shifting towards cleaner forms of transportation. China plans to eventually ban diesel and gasoline-powered cars in its major cities. France and Britain have both committed to banning gas-powered automobiles in the future as well. Earlier this month, the EU Parliament voted for a 20% cut in CO2 emissions from new cars and vans in 2025 and a 40% reduction in 2030, accelerating the region’s transition towards cleaner transport. To effectively support the transition, carmakers, from startups like Tesla to pedigreed veterans like Mercedes-Benz, have to ramp their efforts at creating even more compelling, cost-effective electric vehicles.
In a recent segment on CNBC, Paul Sankey of Mizuho Securities mentioned that the “Tesla Effect” is starting to make its way to the oil industry as well. Last Thursday, oil prices tumbled as much as 4% amidst concerns about the fallout from the United States’ sanctions on Iran, the OPEC’s third-biggest crude oil producer. Wall St. analysts noted that oil could be in striking distance of $100 per barrel – an adjustment that would be felt by owners of fossil fuel-powered cars. The Mizuho analyst noted that part of the reasons behind the struggles of the oil industry is the shifting perception towards oil itself.
“Essentially, the big issue is the so-called “Tesla Effect,” the general “End of the Oil Age” theme that is a problem for these (oil) stocks. As the oil price goes up, especially to the levels we’re at now and potentially beyond, it’s almost as if the Tesla Effect could be exacerbated by the potential for higher oil prices to accelerate the end of the Oil Age. The Tesla Effect is the overall concept that (while) the 20th century was driven by oil, the 21st century will be driven by electricity. There’s a 30-year transition, and we’re somewhere probably 10 years into that transition. Ultimately, (the) terminal value of oil has been severely affected by the potential for us to change behavior,” the analyst said.
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What is quite remarkable is that Tesla is nowhere close to reaching the company’s overall goals. Elon Musk once noted that Tesla would not stop until all cars in the road are electric. And the truth is, even if the company reaches its production targets for the Model 3 and the Model Y and its future Truck and compact sedan, Tesla would not be able to transition the auto industry towards electrification on its own. What Tesla could do, though, is to accelerate this transition, and if recent projects by legacy carmakers are any indication, it appears that the Silicon Valley-based company is doing just that.
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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