Investor's Corner
Auto experts reveal why Tesla’s batteries hold a comfortable lead in range
One of the reasons why the narrative of the “Tesla Killer” has effectively died is due to the pervading lead that Tesla holds over the competition in terms of range. Amidst the long-predicted entrance of competing vehicles from established automakers including Audi, Jaguar, and Porsche, Tesla’s vehicles have proven to be vastly superior in range, as evidenced by the Model S Long Range, which can last 370 miles in between charges.
Take Tesla’s very first car, the original Tesla Roadster. The vehicle featured Tesla’s efforts at creating a desirable all-electric sports car, and it showed in the Roadster’s robust 245-mile range. There weren’t even Superchargers when the Roadster was released, but the car proved that EVs could comfortably go beyond the 200-mile mark, and then some more. Interestingly, even modern EVs from veteran carmakers are finding it hard to match the Roadster’s 245-mile EPA range. The Audi e-tron, for example, just has 204 miles of range per charge, while the award-winning I-PACE has an EPA rating of 234 miles per charge.
This, according to veteran auto experts Sandy Munro and Mark Ellis of Munro & Associates, has a lot to do with Tesla’s all-electric platform and the company’s proprietary battery tech. Tesla is only 16 years old, and thus, it only has a fraction of the experience that its rivals in the auto market has. Yet in the EV segment, Tesla is among the veterans, having worked solely on electric cars since Day One.
All-Electric
As such, vehicles that Tesla releases such as the Model S, Model X, and Model 3, are designed as EVs from the get-go. In contrast, carmakers such as Mercedes-Benz and Audi opted to convert existing platforms for EV production. This reduces costs, but it is a double-edged strategy in the EV segment, which is starting to gain serious ground in several key markets. “If you’re designing something radically different, or if you want to have something that’s going to be a world-beater in the marketplace, that parts bin is the worst thing imaginable,” Munro said.
This could be seen in the difference between the Porsche Taycan and a vehicle such as the Mercedes-Benz EQC. Porsche opted to design the Taycan from a clean sheet, and the result was an all-electric sports car that can attack the track just as aggressively as the next 911. It even has a frunk like a Tesla, albeit smaller. Mercedes, on the other hand, opted to base the EQC on its existing GLC platform, and the result is an EV that still has echoes of its internal combustion roots. Between the two vehicles, it is easy to see which carmaker put more effort, and it shows. Today, it appears that the non-Tesla EV community is far more excited about the Taycan than they are for the EQC.
Mark Ellis, a senior master of lean design and battery consultant, notes that this is a key advantage that is inherent in Tesla. “One of Elon Musk’s big advantages is, basically, that the vehicle is designed to be an electric car. Musk designed every aspect of this car to be as efficient as possible,” he said.
The Secret Sauce
Apart from their all-electric design, Tesla’s secret sauce for its vehicles lies in their batteries, from the design of the pack to the chemistry of the cells themselves. Comparing the Model 3’s battery pack to those found in other EVs such as the Chevrolet Bolt EV, Nissan Leaf, Jaguar I-PACE, and BMW i3, Ellis stated that Tesla’s battery pack is superior, especially with regards to the placement of battery cells in relation to the current collectors. “It’s the best design of any battery pack I’ve seen so far,” he said.
But this is not all. Ellis added that Tesla’s cylindrical cells have inherent advantages compared to the prismatic or pouch cells used by the competition. Prismatic cells, for one, expand and contract as they charge and discharge, which means that manufacturers using them have to design their battery packs with the necessary parts to handle the expansion and contraction process of the cells. These add unnecessary weight to a battery, which Tesla’s packs don’t have to deal with.
Ultimately, Ellis explained that Tesla’s battery cells simply have a higher energy density than those utilized by its competition. Tesla was able to achieve this because its batteries have superior chemistry, the consultant said. Part of the reason behind this is the fact that Tesla as a company does not really stop innovating. Tesla’s Automotive President Jerome Guillen hinted at this in a previous interview, when he said that the company’s batteries are never frozen since they are always in a state of improvement. “We are improving the design of the cell. The design of the cell is not frozen. It evolves, and we have a nice roadmap of technology improvements for the coming years,” Guillen said.
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Range is something that is one of the most important factors consumers consider when purchasing an electric car. With the number of EV charging stations not yet on par with the number of gas stations on the road, it is pertinent for customers for many car buyers to acquire a vehicle that can go the distance. Tesla’s long-range vehicles, together with the company’s Supercharger Network, are a perfect fit for these types of customers.
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
