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Tesla can solve an annoying part of its cars’ ownership experience with Maxwell’s supercapacitors
When Tesla acquired Maxwell technologies, the electric vehicle community was appropriately excited. Maxwell, after all, works on projects such as dry battery electrode tech and supercapacitors, both of which are believed to hold a lot of potential in the emerging electric vehicle sector. But as the countdown to the highly-anticipated Battery Day draws near, speculations suggest that Tesla acquired Maxwell mainly due to the company’s dry battery electrode tech, not its supercapacitors. Yet according to Andrey Shigaev, CEO of Geyser Batteries, supercapacitors still hold some potential uses for Tesla’s electric cars.
In a brief interview with Teslarati, Shigaev, whose company is developing batteries that use aqueous (water-based) electrolytes, noted that while supercapacitors will likely not be involved in Tesla’s million-mile battery project, there are already a lot of local tasks in an electric vehicle that could benefit from the use of supercapacitors. Among these is smart air suspension, a feature that is currently used in the Model S and X and is expected for upcoming vehicles like the Cybertruck. But beyond this, the Geyser Batteries CEO mentioned that supercapacitors could also be utilized as a superior alternative to the 12V battery that Tesla uses for its vehicles today.
“The more stuff gets electrified, the more power you need to perform tasks. The most classical thing (that could benefit from supercapacitors) and the number one item for Tesla is the 12V battery. Supercapacitors can handle this task. If you have a high energy battery onboard, then this secondary circuit could be powered by a supercapacitor that is very efficient. It will even have an extremely long life cycle. Supercapacitors are lighter too, saving weight. And they tend to be smaller than a lead-acid battery,” Shigaev said.
Interestingly enough, the earliest versions of the original Tesla Roadster didn’t use a 12V battery. Instead, the company used a portion of the Roadster’s main lithium-ion battery pack to supply 12V for the vehicles’ accessories and lights. This did not prove ideal, however, and in 2010, Tesla switched to using a 12V battery for the Roadster 2.0. It should be noted that the 12V battery, which has been adopted in every vehicle since the Roadster 2.0, is used to keep systems such as emergency blinkers, airbags, seatbelt pre-tensioners, the MCU, and other functions operational even when a car’s main battery pack is compromised.
Being one of the few parts of the car that is still based on conventional automotive tech, the 12V battery in a Tesla tends to last only a few years. As noted by Tesla Tap, the 12V battery in a brand new Tesla could last about 3-4 years, but this could be reduced to as little as 1-2 years if the vehicle is driven frequently. This could cause annoyances among Tesla owners, especially since the 12V battery’s health could not be actively observed in the vehicle’s systems yet. Social media posts about 12V batteries in Teslas giving out are numerous, with some owners noting that it is the one aspect of the Tesla ownership experience that is still mildly infuriating.
With this in mind, the use of supercapacitors in place of the 12V battery could be pretty in-character for Tesla. Nevertheless, the Geyser CEO explained that using supercapacitors in place of the 12V battery would present some challenges as well. Among these is cost, since supercapacitors are notably more expensive than standard 12V lead-acid batteries. Yet despite this, the advantages they bring could justify their use, especially among flagship vehicles like the next-generation Roadster and the Plaid Model S and Model X.
“Supercapacitors have a main caveat. There are three drawbacks. First and foremost is energy density, which is ten times lower than lead-acid battery. Second is their price since currently, their price is astronomically larger. The third is discharge. If you leave it alone for almost one month, it would discharge completely. However, if you have an electric car and there’s a high energy battery in the car like a lithium-ion battery, that would be the power source for the vehicle,” Shigaev noted.
Other industry experts have suggested uses for Maxwell’s supercapacitors in Tesla’s electric cars in the past. Auto veteran and Munro & Associates Sr. Associate Mark Ellis previously noted that apart from dry electrode tech, Tesla could tap into Maxwell’s supercapacitors to improve its vehicles’ battery management systems.
“One of the issues with the battery is, when I step on the throttle hard, I’m pulling a lot of energy from the battery. And then, when I brake hard, I’m pulling a lot of energy out of the regen, but the batteries can’t take it fast enough. The batteries get really stressed when you try to pull it up too much, so if I had supercapacitors that I could use as a cushion; so when I need energy quickly, (I can) pull it from the supercapacitors and then fill the supercapacitors back up with the battery slowly; and then when I brake, I can capture more of that regen energy and do the supercapacitors faster. I think that just makes logical sense, because now all of a sudden I’ve got a sponge in front of my main energy source and I’m not stressing (the battery) so much,” Ellis 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
