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SpaceX finishes stacking new Starship for the first time in six months

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For the first time in more than half a year, SpaceX has stacked a new Starship prototype to its full height, hopefully marking the end of a period of relatively slow progress.

That period began when Starship S20 was stacked to its full height in early August 2021. Until very recently, Ship 20 was said and expected to be the prototype assigned to Starship’s first orbital test flight, making it exceptionally important. In an unusual change in attitude, SpaceX may have felt the same, which may explain why Starship S20’s first static fire test took place more than two months after it first left the factory. A year prior, Starships SN9, SN10, SN11, and SN15 all completed proof testing a matter of weeks after rollout.

That sudden change of pace relative to past development has meant that Ship 20 is the only Starship prototype SpaceX has tested since May 2021 and the only Starship to graduate from final assembly to testing in the last six months. In that period, Ship 20 has completed a few major cryogenic proof tests and four static fires – two of which ignited all six Raptor engines. While Ship 20’s six-engine tests were unprecedented and marked a major program milestone, SpaceX once static-fired Starship SN9 three times in one day in January 2021.

However, that period of sluggish prototype testing may finally be coming to an end. In August 2021, when SpaceX stacked Starship S20 and Super Heavy B4 for the first time, the general assumption was that the seemingly imminent march towards orbital flight testing would be similar to SpaceX’s attempts to land a Starship from medium altitude between December 2020 and May 2021 – lots of prototypes in flow and multiple back-to-back tests and launches, in other words. That was not the case.

Starship S21, for example, began final assembly in mid-October 2021 and its tank section and nose section were both fully stacked less than a month later. However, rather than stack them into a second complete ship, SpaceX has left those separate assemblies sitting around Starbase for the last three months. Simultaneously, while Ship 21’s apparent limbo seemed to imply that SpaceX was implementing another block upgrade and moving on to newer prototypes, the company actually started stacking Starship S22 about a week after S21’s separate sections were completed. Only three months later have SpaceX’s plans for those three sections finally become clear.

On February 14th, 2022, Ship 22’s tank section followed Ship 21’s nose section into Starbase’s high bay assembly facility, where they were quickly stacked to form a full Starship prototype the same day. This raises the question: why?

Ship 21’s nose. (Richard Angle)
Ship 22’s tank section. (NASASpaceflight – bocachicagal)
Ship 21’s tank section (right) will probably be scrapped. (NASASpaceflight – bocachicagal)

Given that Starship S20 effectively completed qualification testing with three successful static fires in December 2021 and a fourth in early January 2022 and has been seemingly ready to fly ever since, its Super Heavy booster readiness – not ship readiness – that appears to be holding SpaceX back. Perhaps because of pad readiness issues, SpaceX has yet to perform a single Super Heavy static fire test – or even a less risky wet dress rehearsal – at the orbital launch site. As such, it’s hard to say why SpaceX has suddenly decided to finish Ship 22 instead of focusing on a newer version of Starship (S24) and Super Heavy (B7) – both of which are expected to debut upgrades.

It’s possible that Ship 22 is being completed merely as practice for the Starbase workforce, who have gone half a year without fully assembling another ship prototype, but then there would have been no reason not to install Ship 21’s nose on Ship 21’s tank section instead of withholding it for Ship 22. Ship 22 could also be a replacement for Ship 21 if appearances are misleading and SpaceX uncovered issues with the older prototype during testing but again, no booster is ready to launch either ship.

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Regardless of the outcome or purpose of Ship 22, seeing any new Starship prototype completed is an exciting and interesting change of pace after half a year of following the windy paths of Ship 20, Booster 5, and Ship 21 to their uncertain goals.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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.

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Tesla headlights cause recall of over 20,000 Model 3 and Model Y

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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.

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.

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.

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