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Tesla’s Elon Musk explains why too much electric vehicle range does not make sense
Elon Musk commented last night that Tesla could have had a Model S that was capable of 600 miles of range on a single charge. However, Tesla decided not to pursue the what would be an industry-leading metric, because it would impact handling, efficiency, and overall performance negatively.
“We could’ve made a 600 mile Model S 12 months ago, but that would’ve made the product worse imo, as 99.9% of time you’d be carrying unneeded battery mass, which makes acceleration, handling & efficiency worse,” Musk said in a reply to Whole Mars Blog, who stated Lucid may have been the first to deliver a 500-mile EV, but Tesla would be the first to produce it. “Even our 400+ mile range car is more than almost anyone will use,” the Tesla CEO added.
We could’ve made a 600 mile Model S 12 months ago, but that would’ve made the product worse imo, as 99.9% of time you’d be carrying unneeded battery mass, which makes acceleration, handling & efficiency worse. Even our 400+ mile range car is more than almost anyone will use.
— Elon Musk (@elonmusk) March 2, 2022
The battle of alleviating range anxiety amongst new electric vehicle owners is something that will eventually subside altogether. However, there are entirely too many people who still bring up concerns of where they will be able to charge their cars, arguing that gas stations are on every corner but EV chargers are not. While this is true, EV chargers are more available than many may think. In even rural South Central Pennsylvania (where I live), there are about seventeen EV chargers, including an eight-stall Tesla Supercharger. All are within ten miles of my house.
Even still, the concerns of how much range is enough still circulate through the community of prospective EV buyers. Everything will require sacrifice. And while most passenger gas cars can travel around 400 miles on a full tank of gas, ABC News says the average American only travels sixteen miles per day for work. U.S. Census data suggests Americans spend around 27.6 minutes driving to work one way. Hundreds of miles of range are not completely necessary.
As Musk also said, more range usually means more batteries, which adds to mass and takes away from the fun driving experience that EVs have been commended for. The Tesla Model S has 375 miles of range, and at one time had over 400 miles of range. The Model S Long Range Plus had 402 miles of range, and one of the primary reasons was “significant mass reduction.”
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“Mass is the enemy of both efficiency and performance, and minimizing the weight of every component is an ongoing goal for our design and engineering teams,” Tesla said in a blog post announcing the 400-mile Model S in June 2020. “Several lessons from the engineering design and manufacturing of Model 3 and Model Y have now been carried over to Model S and Model X. This has unlocked new areas of mass reduction while maintaining the premium feel and performance of both vehicles. Additional weight savings have also been achieved through the standardization of Tesla’s in-house seat manufacturing and lighter weight materials used in our battery pack and drive units.”
Structural Battery Pack
Tesla’s Structural Battery Pack compartmentalizes the idea that mass distribution can be used in an advantageous way. During Battery Day in September 2020, Musk outlined the ideas for the Tesla Structural Pack, and how it was designed.
“The non-cell portion of the battery has negative mass,” Musk said. “We saved more mass in the rest of the vehicle than in the non-cell portion of the battery. So how do you really minimize the mass of the battery? Make it negative.”
The density of the pack not only increases structural rigidity and safety, but it also improves mass and range by strategically placing cells in areas where they would compliment the vehicle.
Credit: Tesla
What about Tesla’s planned more than 400-mile range vehicles
Interestingly, Tesla has several vehicles on the way that feature range estimations of over 400 miles. The Cybertruck’s Tri-Motor powertrain, which may take a backseat to the rumored Quad-Motor variant, had a 500+ mile range rating when Tesla still had the configurator for the vehicle available. With the new 4680 battery, Tesla’s vehicles will likely be able to reach the 400-mile threshold without sacrificing too much of the performance or efficiency that Musk spoke of.
The next-gen Roadster, which has sat on Tesla’s backburner for several years, also has an incredible range estimation of 600+ miles. The Roadster may be a special exception to the range rule, but with the astronomical expectations for the vehicle, including the ability to hover, excessive battery weight may take away from the Roadster’s 1.1-second acceleration from 0-60 and its handling due to its small, sporty frame.
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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
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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.
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
