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SpaceX says Starship Mk1 will test ‘skydiver’ landing before the end of 2019
A senior SpaceX director says that the Starship Mk1 prototype could lift off for the first time before the end of 2019, a flight debut SpaceX hopes will successfully demonstrate the next-generation spacecraft’s exotic ‘skydiver’ landing method.
SpaceX is in the late stages of building the first full-scale Starship prototypes, known as Mk1 (situated in Boca Chica, Texas) and Mk2 (Cocoa, Florida). The Texas-based Mk1 prototype is by far the furthest along and featured prominently at CEO Elon Musk’s Starship update presentation on September 28th, having been stacked to its final height of ~50m (165 ft) for the first time just days prior.
It’s clear now that more than a little showmanship was involved in the work that lead up to Starship Mk1’s unveiling. Within a week or two of the event, SpaceX technicians had separated Starship’s nose and tail sections, removed all three Raptor engines, and uninstalled the ship’s wings and canards, among other things.
Aside from the nose and tail section demate and removal of flaps, canards, and Raptors, the aero covers that were briefly attached to Starship’s exterior (raceways, canards, flaps, legs) were also removed. One raceway cover may or may not have been a casualty of high winds but all of the above hardware was carefully stored on the ground surrounding Starship Mk1 and is clearly meant to be installed more permanently in the coming weeks.
Nevertheless, Starship Mk1 obviously has a decent ways to go before it can be seriously considered flight-ready. On a positive note, aside from several days spent undressing Starship, SpaceX’s South Texas team (and others traveling from Florida and California) have been working 24/7 in the weeks since Musk’s presentation.
The last two weeks of Starship Mk1 activity have centered around installing the numerous crucial bits and pieces the rocket will need to function. This has included thousands of feet of power cables, avionics wiring, and propellant feed and transfer pipes; industrial-scale power controllers and flight computers, and much more.
The sheer quantity and range of sizes of piping being installed on Starship Mk1 all but confirms that the rocket will be a high-fidelity prototype capable of testing a wide range of capabilities related to autogenous pressurization and Raptor engine ignition. The mirrored presence of three sets of smaller pipes on the vehicle’s raceway (essentially a utility corridor) is a strong sign that Raptor and Starship’s smaller header tanks and COPVs (located in Mk1’s nose section) are closely related.
Some of the excess hot gas produced by Raptor may be tapped to supply COPVs that can then be used to reignite the engines in-flight. More likely, the small pipes are more of a one-way feed line from Starship’s header tanks to its Raptor engines and – as Musk has indicated – the cryogenic liquid propellant in those header tanks will be gasified with electric heaters or gas generators.
Starship gymnastics
Given all of the above, close followers were already readily aware of the fact that Starship Mk1 needed some significant work done before it would be ready for flight. On October 22nd, SpaceX Senior Director Gary Henry confirmed these suspicions, indicating that Starship Mk1’s 20 km (12 mi) flight test debut was now scheduled no earlier than two months from now (December 2019).
According to CEO Elon Musk and other SpaceX engineers, that 20 km flight debut is designed to prove that Starship’s radical new approach to flight and landing is viable. Musk has repeatedly described that Starship will in no way be an actual space plane and has stated that its ‘wings’ and ‘canards’ are not intended to be airfoils or wings. Instead, Starship will reenter Earth’s atmosphere, slow its horizontal velocity to near-zero, and proceed to free-fall straight down, using its fore and aft flaps to control its trajectory in the same way that skydivers use their body and limbs.
This bizarre approach will be capped off with an aggressive landing maneuver in which Starship will ignite its engines, wildly thrust-vector and swerve to cancel out the horizontal velocity imparted by that sideways ignition, and land vertically on Earth (or Mars). In theory, this strategy will radically reduce the amount of fuel Starship needs to land in atmospheres, but it’s far removed from anything SpaceX has attempted with Falcon 9 and Starship Mk1’s first flight will hopefully prove it to be a viable solution.
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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
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.”
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.
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.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
