Investor's Corner
Tesla’s ‘Alien Dreadnought’ factory takes a step forward with structural cable patent
When Elon Musk envisioned the Model 3 production line, he saw a factory that was so automated; it looked like it was literally out of this world. In later statements, Musk shared Tesla’s internal name for the automated factory – Alien Dreadnought – a reference to the fascinating, intricate extraterrestrial motherships that are a trope of classic sci-fi franchises. Musk also noted that the Alien Dreadnought should be operational sometime in 2018.
The Model 3 production ramp would eventually teach Elon Musk that his timeline for the Alien Dreadnought was far too optimistic. Since starting the production of the electric car, Tesla has been met with bottleneck after bottleneck in both the Fremont factory and Gigafactory 1. While Tesla was eventually able to find a system that balances robot and human work to effectively ramp the Model 3, Musk would later admit that Tesla overreached when it came to the automation of its production lines. In a post on Twitter, Musk candidly noted that human workers are still underrated.
Yes, excessive automation at Tesla was a mistake. To be precise, my mistake. Humans are underrated.
— Elon Musk (@elonmusk) April 13, 2018
While Elon Musk’s Alien Dreadnought factory might be coming later than expected, the company appears to be paving the way for even more automation in its factories. A recently published patent on Thursday, for one, outlines a structural cable design that is fully optimized for automated manufacturing. In the discussions of the patent, Tesla described the rationale of a structural cable that is rigid by design.
“The structural cable according to the present disclosure is a cable with structural integrity that may be manipulated into place by a robotic arm as part of an automated process while providing reliable data connections to its desired location. As part of the form manipulation, the structural cable preferentially allows manipulation into different geometries allowing for placement that avoids obstacles, and that can be performed in a reproducible manner so as to be implemented as part of an automated process.”
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Tesla notes in its patent that traditional cables, due to their non-rigid nature, are best installed by human hands, which connect the appropriate connectors to their respective ports during the production process. The electric car maker notes that this is due to the cables lacking “sufficient structural integrity and rigidity to be easily picked up, moved, and placed by a robotic arm,” as well as their inability to be formed into pre-determined shapes.
“Because traditional cables are not rigid, they may not be easily formed into different shapes and routed to a pre-determined location amidst tight spatial constraints. Routing traditional, flexible cables during manufacturing, for example to connect different components during automobile manufacturing, typically cannot be automated and therefore require humans to place by hand. Such manual placement is time-consuming, tedious, and costly. Hence, there is a need for a structural cable that overcomes the aforementioned drawbacks.”
Tesla’s designs for its structural cable design as outlined in the newly-published patent. [Source: Patentscope]
Tesla intends to work around these compromises by using a rigid structural cable, which could be easily picked up and installed automatically by a robotic arm. By using such components, Tesla would be able to optimize the level of automation in its facilities even further.
“An advantage of this flat cable configuration with known geometries and wires/conductors spaced at known dimensions (and preferably collinear) is that the process of connecting the flat wires/conductors to connectors may be automated through, for example crimping, traditional soldering, or laser soldering. In a specific implementation, encased wires are held on a flat conveyer or with a robotic arm, and the wires are stripped using a stripping attachment so as to preserve the wire spacing. The robotic arm (or another robotic arm) may then pick up a connector and crimp the connector to the wires by pressing down (or utilizing an appropriate tool).”
It should be noted that while Elon Musk’s Alien Dreadnought factory is delayed, the company’s production lines are already heavily automated. Back in the Q1 2018 earnings call, for one, Elon Musk noted that Tesla was able to reduce the time it takes to produce Model 3 battery packs by 94%, from seven hours per unit to under 17 minutes per pack. Tesla has since improved its production lines in the Fremont factory and Gigafactory 1, and this Q4 2018, the company intends to optimize its operations even further. Gigafactory 1, for example, is expected to receive new battery cell assembly lines from Panasonic this quarter. New Grohmann machines, which are expected to improve production, are also expected to go online in the Nevada facility this Q4 as well.
The full text of Tesla’s patent for its structural cables could be accessed here.
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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.
Tesla CEO Elon Musk says flying cars are coming
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
