Investor's Corner
Tesla explores safer battery production with novel DCM recovery system patent
In what appears to be yet another step towards its goal of operating the safest car factory in the industry, Tesla has been granted a patent that could pave the way for a safer process in battery production. Published today, the electric car maker’s recent patent describes a system to treat and recycle Dichloromethane (DCM), which is among the materials used in the production of electric car batteries.
DCM is utilized in a variety of industrial processes, particularly in chemical plastic welding, wherein softened plastic pieces or surfaces are welded together. The material is also used to soften plastic sheets for stretching or shaping, and as a solvent to remove unwanted compounds. In Tesla’s case, DCM is among the materials used in the forming of a separator base film for an electric car’s battery system. While DCM is invaluable in manufacturing, though, the material carries some health risks.
Dichloromethane is the least toxic among the simple chlorohydrocarbons, but its high volatility makes it an inhalation hazard nonetheless. Prolonged skin contact with DCM could also result in the material dissolving some of the skin’s fatty tissues, causing irritation or chemical burns. With these risks in mind, the manufacturing industry employs ways to recover DCM. Tesla notes that current systems for DCM treatment and recovery are capital intensive, particularly since the process involves expensive components such as activated carbon beds, condensers, steam boilers and distribution systems, density separation vessels, and waste water treatment systems.
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- Tesla’s DCM treatment system. [Credit: US Patent Office]
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- A flow chart illustrating operation of an exhaust treatment system for treating a waste exhaust stream containing dichlorom ethane. [Credit: US Patent Office]
Tesla’s diagrams outlining its Dichloromethane recovery system. [Credit: US Patent Office]
Tesla describes conventional DCM treatment systems as follows:
“The DCM itself may then be removed through a heating and/or evaporation process with the exhaust collected. This exhaust containing DCM is then combined with the exhaust from other tools and systems used in the manufacturing process. The combined exhaust may then be fed to a recovery plant to recover DCM. In the recovery plant, the waste exhaust stream is typically treated with activated carbon. This scrubbing process requires high capital expenditure (many expensive components), high operating cost (extensive steam and cooling water consumption which accounts for >20% of total process cost), large footprint requirements, and large amounts of waste water that need to be processed. In order to address these cost and environmental-remediation issues, an improved process for the removal of DCM from exhaust streams is needed.”
Tesla’s take on DCM treatment and recovery utilizes a wet scrubber and a density separator vessel as key components of the system. The wet scrubber in Tesla’s patent has a scrubbing chamber, where water is utilized to scrub the waste exhaust stream containing the DCM. Tesla notes that the wet scrubber could adopt a variety of designs to remove DCM from the waste exhaust stream, including a venturi scrubber design, a condensation scrubber design, an impingement-plate scrubber design, or a packed bed tower design, among others.
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Tesla’s use of a density separator vessel is described in the following section from the patent.
“The density separator vessel has an inlet to receive the liquid water and DCM mixture, an outlet to expel DCM, and an outlet to expel waste water. The DCM may be routed back to the industrial process for reuse and/or collected for later use. The waste water may be routed back to the wet scrubber, as shown along (the) waste water return loop. Waste water may also or alternately be routed to waste water treatment system for processing for subsequent treatment by (the) waste water treatment system.
“Typically, a large portion of the waste water is returned to the wet scrubber via (the) waste water return loop and a small portion of the waste water is treated by the waste water treatment system. Even though the waste water may contain small amounts of DCM, the waste water will still retain its ability to scrub the exhaust containing DCM. An advantage of the wet scrubber over the activated carbon beds is that all or most of the water used by the wet scrubber is the waste water from the density separator vessel, resulting in substantial savings of water and energy, and resultantly, substantial cost savings.”
Tesla states that compared to more traditional exhaust treatment systems, the DCM treatment and recovery model outlined in its patent effectively eliminates the use of steam and cooling, while also reducing the amount of throughput needed by a waste water system. With these efficiencies in mind, Tesla notes that it could reduce capital expenditures and operating costs “for the same amount of DCM processed processing.” The increased simplicity of the system and reduced airflow rates are expected to help the company get more savings in both capital expenditures and operating costs as well.
More than a way to optimize its operations, Tesla’s recent patent is also a notable way for the company to keep its battery production lines safer for its employees. Such a system would definitely be invaluable for the company, particularly as Tesla is now preparing the Model 3 for a global rollout. With the Model 3 ramp ever-expanding, and with high-volume vehicles like the Model Y and possibly the Tesla pickup truck in the pipeline, optimizations such as a better DCM treatment and recovery system are all but necessary.
Tesla’s recently published patent on its DCM treatment system could be accessed here.
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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.
Elon Musk
Another Tesla SpaceX merger prediction by ARK Invest has Elon Musk talking
Elon Musk again denies a Tesla China split as new SpaceX merger speculation resurfaces quickly.
Elon Musk restated that Tesla has no plans to separate its China business from the rest of the company, responding to a new round of merger speculation from ARK Invest.
On the firm’s “Brainstorm” podcast, Cathie Wood’s team, including chief futurist Brett Winton and research director Nick Grous, argued a Tesla and SpaceX combination remains likely, with an announcement possible before the end of the year even if the deal itself would not close that quickly. Winton called Tesla’s Shanghai operations a “small ish wrinkle” for a merger rather than a real obstacle, since SpaceX’s national security work with the U.S. government sits uneasily next to Tesla’s manufacturing base in China.
Musk pushed back on the framing directly. “China is awesome. I strongly encourage people to visit,” he wrote on X. He also repeated language he first used in late July, when the Wall Street Journal reported that Tesla executives had been told to prepare for a possible spinoff, sale, or closure of the China business ahead of a SpaceX tie up. Musk called that report “absurdly fake news” at the time, adding that a separation had “never even come up in a discussion ever,” a line he echoed again this week.
The repeated denial has not settled the underlying question, because Shanghai’s role in Tesla’s business is exactly what makes a merger complicated. Gigafactory Shanghai still ships more than half of Tesla’s global deliveries and functions as the company’s main export hub for Europe and Asia. Teslarati previously reported on Musk’s initial denial, and the merger conversation itself has been building since SpaceX’s IPO gave it public shares to use as acquisition currency.
Wedbush’s Dan Ives has pegged the odds of a Tesla SpaceX merger at 80 to 90 percent by early 2027, and ARK’s prediction of a year end announcement adds another data point to that timeline, even as Musk keeps rejecting the specific mechanics reporters have described. Neither position rules out the other. Musk can deny a China spinoff was ever discussed while analysts still expect some form of combination to move forward, since ARK and Ives are both describing convergence at the corporate level, not necessarily the internal restructuring the Journal described in July.
For now, Tesla’s China business remains intact, and Musk’s comments this week make clear he has no interest in publicly walking that position back, no matter how often the merger question resurfaces.
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Elon Musk
The real reason Elon Musk wants every car connected to space
Elon Musk says all cars will eventually need Starlink to handle massive AI bandwidth demand.
Elon Musk is making the case that satellite internet, not fiber or cellular towers, will end up wired into every car on the road. In a string of posts on X, the SpaceX CEO wrote that all cars will have Starlink in the future and called satellite connectivity the only way to get super high bandwidth to billions of vehicles.
The posts started with Musk endorsing a Cloudflare forecast that traffic generated by autonomous AI agents will soon dwarf traffic generated by humans browsing the internet, a shift he described as not a close call at all. From there he narrowed the argument to infrastructure, writing that the only system that can support the insanely fast bandwidth growth needed by AI is Starlink, before extending the logic to cars specifically.
AI agentic Internet traffic will obviously VASTLY exceed human usage. Not a close call at all.
Cloudflare’s forecast is accurate. https://t.co/VztgrinN5k pic.twitter.com/Wo4FiRKjPU
— Elon Musk (@elonmusk) August 9, 2026
The timing lines up with Tesla’s own hardware decisions. On July 20, Tesla confirmed the Cybercab would ship with a Starlink V5 terminal built into its roof, the first time the company had put satellite hardware in a production vehicle. A day later, Tesla’s head of AI, Ashok Elluswamy, explained the connection wasn’t there for safety and that Cybercab’s driving stack runs entirely on onboard cameras and compute, while the satellite link exists for navigation, customer service, and fleet management instead. Musk followed with his own post about the feature, saying riders would be able to watch 4K streaming video during rides.
By July 22, Musk had already said Starlink would extend beyond Cybercab to Tesla’s full lineup. Sunday’s posts push that same logic outward again, this time framed as a requirement across the industry rather than a feature specific to Tesla, and tied directly to the bandwidth AI systems are expected to consume.
SpaceX’s newest Starmind will make earth data centers obsolete
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The AI argument has been building on SpaceX’s side for months. The company has an FCC filing pending for a third generation Starlink constellation, and it has separately proposed Starmind, a constellation of up to a million satellites designed to run AI computation directly in orbit rather than just relay data. Musk has said he expects space to become the cheapest place to deploy AI compute within two to three years. Starlink and Starmind serve different jobs inside that vision, one moving data and the other processing it, but Sunday’s posts treat vehicles as one more category of hardware that will eventually need both.
None of this changes anything for Tesla owners today. Cars already on the road keep running on LTE and Wi-Fi, and Tesla hasn’t outlined a retrofit path for existing vehicles. The July 22 commitment applies to future production, not the fleet already delivered. What Musk added on Sunday is the reasoning: satellite connectivity isn’t a Cybercab novelty, it’s a bet that ground based networks won’t keep up with how much data cars, robots, and AI systems are about to generate.
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