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Elon Musk gifts SpaceX Starship angel investor a piece of Starhopper history

To thank him for his generous support, SpaceX CEO Elon Musk has gifted investor Yusaku Maezawa a piece of Starhopper, pictured on the left. (NASASpaceflight - bocachicagal)

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According to photos posted by the Japanese investor, SpaceX CEO Elon Musk has gifted Yusaku Maezawa a significant piece of Starhopper history, a celebration of the rocket prototype’s successful flight tests and a gesture of thanks for Maezawa’s substantial support.

Back in September 2018, Musk revealed that Japanese billionaire Yusaku Maezawa had become the first true customer for SpaceX’s next-generation Starship launch vehicle. In fact, Maezawa announced DearMoon, a private spaceflight venture with the aim of sending a dozen or so artists on the first commercial crewed mission around the Moon – all for free.

In a bid to assist Starship development and simultaneously secure rights to the massive spacecraft’s first crewed lunar launch, Maezawa committed what is believed to be several hundred million dollars of his personal fortune to SpaceX. In turn, the Japanese billionaire plans to select roughly a dozen artists from around the world and offering them a free ticket aboard Starship’s first crewed circumlunar launch, traveling once around the Moon and returning to Earth after 10 or so days in space.

Perhaps just a few weeks after the DearMoon announcement and Starship event, SpaceX CEO Elon Musk decided to radically change the Starship program, entirely replacing the vehicle’s main structural material of choice – carbon fiber composites – with stainless steel. The primary goal was to dramatically lower the cost of development and vehicle production and speed things up, but Musk quickly realized that steel could unintuitively be better than carbon fiber in almost every way.

After Musk’s decision, SpaceX pivoted from carbon fiber to steel at a spectacular pace. Barely six months after the design change, a SpaceX team had built up its Boca Chica, Texas facilities from almost nothing, begun to build full-scale steel hardware, and nearly completed the first low-fidelity prototype, known as Starhopper. That vehicle began propellant loading and wet dress rehearsal testing in early-April 2019 and although technical difficulties with its next-generation Raptor engines caused several months of delays, it moved into its first flight test campaign three months later.

Starhopper’s first untethered flight was completed successfully on July 25th, reaching an apogee of ~18 meters (60 ft). A little over one month later, Starhopper lifted off for the second time on a significantly more ambitious ~150m (500 ft) flight test, completed successfully after about 60 seconds in flight. That second test would be Starhopper’s last and SpaceX quickly turned its focus to completing the first full-scale, full-fidelity Starship prototypes, known as Mk1 (TX) and Mk2 (FL).

Throughout this process, Yusaku Maezawa has followed along with SpaceX. Rather than a simple lump-sum agreement, the billionaire’s contract with SpaceX is structured much more specifically, essentially allowing the company to unlock additional funding after certain milestones – like Starhopper’s flight tests – are completed. The arrangement is more of a carrot on a stick than something dead-serious – Maezawa is probably not going to completely withhold funding if SpaceX slightly misses exact targets or suffers anomalies during a complex launch vehicle development program.

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Musk and Maezawa pose in front of Starhopper’s Falcon 9-derived thruster pods. (Yusaku Maezawa)

In order to complete its two flight tests, Starhopper needed some kind of attitude control system (ACS) to remain stable and SpaceX chose a decidedly SpaceX-y solution, simply bolting on flight-proven Falcon 9 thruster pods. Those pods use high-pressure nitrogen to change Falcon 9’s attitude, correctly point the rocket, and settle its propellant while the rocket is in a vacuum (or freefall). They can also provided limited control authority in atmosphere, which is what SpaceX used them for on Starhopper.

Starhopper’s ACS pods work to keep the Starship prototype stable just prior to landing on August 27th. (SpaceX)
As it so happens, Starhopper – now in retirement – is only missing one thruster pod, making it easy to determine which one was gifted to Maezawa. (NASASpaceflight – bocachicagal)

As a gesture of gratitude for Maezawa’s extremely helpful financial support, SpaceX gifted him an entire Starhopper thruster pod. SpaceX often does similar things for major flight milestones, creating commemorative gifts out of retired hardware (rocket tanks, engine bells, grid fins, parachute threads, etc.) that employees are able to purchase. An entire thruster pod is at least a few orders of magnitude above that, a sign of just how grateful SpaceX is to Maezawa.

Of note, in his tweet showing off the thruster pod, Maezawa suggested that “Starship development is going better than expected”, indicating that he may “need to invite a passenger soon” for his planned circumlunar voyage around the Moon. Prior to Starship’s radical shift from carbon fiber to steel, that mission was scheduled no earlier than 2023. In recent months, SpaceX executives have made it clear that they are now targeting Starship Moon landings by 2022, suggesting that the first circumlunar missions – a far easier task than landing – could be possible even sooner than that.

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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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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.

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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.

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.

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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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