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Tesla building apparent Cybercab castings ahead of launch
Tesla has been producing what look like some Cybercab castings at Giga Texas, as spotted this week ahead of the vehicle’s upcoming launch.
Tesla’s Gigafactory in Texas is building what appear to be castings for the upcoming Cybercab, ahead of the vehicle’s launch and the highly anticipated debut of Unsupervised Full Self-Driving (FSD).
On Monday, Tesla Giga Texas site observer Joe Tegtmeyer shared photos on X of some unique castings out beside the factory. Notably, Tegtmeyer points out that the castings are quite different from those of the Model Y and Cybertruck, which are currently the only two vehicles being produced at the Austin, Texas plant—at least publicly.
Some viewers noted that the castings appear to have a similar shape to the Cybercab, along with being one single casting, compared to the two-piece Giga casts the factory produces for the Model Y and Cybertruck. The shape appears to be consistent with Tesla’s unboxed production process, which is expected to build single-piece castings and will be used for the upcoming Cybercab.
You can see Tegtmeyer’s photos of the castings below, in comparison with the Cybercab body and castings for the Model Y and Cybertruck.
Giga Texas castings April 21, 2025, compared to Cybercab
Credit: Joe Tegtmeyer | X
Credit: Joe Tegtmeyer | X
Giga Texas Model Y rear casting
Credit: Joe Tegtmeyer | X
Giga Texas Cybertruck castings
Credit: Joe Tegtmeyer | X
🎥: Our FULL first ride in the @Tesla Cybercab pic.twitter.com/6gR7OgKRCz
— TESLARATI (@Teslarati) October 11, 2024
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READ MORE ON TESLA’S GIGA TEXAS: Tesla Cybercab no longer using chase vehicles in Giga Texas
In March, Tesla Vice President of Vehicle Engineering Lars Moravy confirmed in an interview with manufacturing expert Sandy Munro that Cybercab production would be starting prototype builds this summer, while the automaker is aiming to ramp for volume production in 2026.
While it isn’t summer yet, executives also confirmed in January that Cybercab production lines were already being prepared at Giga Texas, so it’s not unlikely that these castings are some of the upcoming vehicle’s first prototype builds.
The unboxed production process is also expected to revolutionize the automotive manufacturing industry, with CEO Elon Musk emphasizing how different the production line looks compared to its past vehicles during the Q1 2025 All-Hands meeting. Instead, Musk says the production line appears more like a high-speed consumer electronics line, and it’s expected to push Cybercab builds out in less than five seconds.
In a post on X earlier this month, Musk also reiterated that the Cybercab production line and the factory in general are essentially the products on their own, rather than just the cars themselves.
“The Tesla factory, especially our next gen Cybercab line, is the product,” Musk said. “That, autonomy and Optimus, are what matter.”
Tesla is also aiming to launch its first commercial robotaxi services around Austin, Texas this summer, along with launching its first iterations of Full Self-Driving (FSD) Unsupervised. The company is also holding its Q1 earnings call on Tuesday, during which executives are expected to address questions about the Cybercab and the upcoming commercial robotaxi service.
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Tesla’s Giga Texas vehicles now drive themselves to outbound lot
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 headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
