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Boeing’s Starliner slightly delayed, but ready for launch

Starliner being rolled for its first test flight in November 2019 (Credit Richard Angle)

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Boeing and NASA have once again delayed Starliner’s Crewed Flight Test to no earlier than May 1st, 2024.

The launch was originally targeted for mid-April, but this time, scheduling at the International Space Station is the reason for the delay, as the orbiting outpost is fairly busy at the moment.

There are currently 7 vehicles docked at the Space Station, including two Dragon capsules, a Cygnus resupply freighter, and 4 Soyuz capsules (2 Crew, 2 Cargo), so it’s understandable why NASA and Boeing would want to push the Starliner launch just slightly.

Boeing took a major step towards the launch of Starliner’s first crewed flight test when it began fueling the service module and crew capsule. This will enable the capsule to conduct burns to control itself while in orbit.

The capsule assigned to this mission is Spacecraft 3, aka Calypso, which flew the first Orbital Flight Test in 2019 and was unable to make it to the ISS due to numerous issues that arose after separating from the Atlas V second stage.

Starliner takes flight for the first time during OFT-1 in 2019 (Credit: Richard Angle)

For the first Crewed Flight Test, there will be 2 experienced NASA astronauts onboard. Commander Barry Wilmore and Pilot Sunita Williams. They will both be making their 3rd trip to space.

The current pair weren’t the first astronauts assigned to CFT-1, due to the ongoing delays, at various points, 4 other astronauts were assigned to the test flight, including Nicole Mann who ended up switching over to Crew 5 and taking a Crew Dragon capsule to the ISS.

During this most recent delay, Boeing took the time to finish removing the insulating tape that was found to be flammable, finish software reviews, and review a new soft link in the parachute system. The soft link is what connects the main line from the capsule to the risers up to the canopy.

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There are currently no items under review that could potentially cause further lengthy delays.

During a recent press conference at NASA’s Johnson Space Center, Flight Director Steve Lammers detailed what to expect before the flight.

The crew will perform a dry dress rehearsal, similar to what SpaceX does with Crew Dragon. However, the test will be completed inside United Launch Alliance’s Vertical Integration Facility, not at the launch pad.

The day before launch, the Atlas V rocket with Starliner stacked on top will be moved to the launch pad. In the last launch attempt, the rocket sat at the launch pad for a few days, enduring Florida thunderstorms, which led to moisture collecting in some of the Service Modules valves, causing a very significant delay to the Starliner program.

Starliner at LC-41 before the first OFT-2 attempt (Credit Richard Angle)

The hatch will be closed 1 hour and 24 minutes prior to launch, with the pad being cleared about with ~50 minutes remaining in the countdown.

This will be the first mission controlled by Houston after lift-off since the last Space Shuttle mission, STS-135.

There will be no live video from the capsule during ascent and transit to the ISS, Ed Van Cise, Starliner rendezvous flight director said the system is lacking the connection from the data to a transmission system. The recorded video will be downlinked after the capsule is docked.

The crew will dock with the ISS 24 hours after lift-off after conducting numerous tests of the Starliner systems.

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The capsule will stay docked with the Space Station for a minimum of 8 days.

After undocking, the crew will perform more tests ahead of the de-orbit burn and eventual landing in the Western United States.

The capsule will land under parachutes, and the airbags will deploy just before touchdown to provide a soft landing for the crew.

All in all, this mission has been a long time coming for the company. The original contract called for six flights, and with the Atlas V being retired, there are currently no other human-rated launch vehicles (that are compatible) to launch Starliner, and if NASA wants to extend that contract with Boeing, ULA would need to get the approval to launch Starliner on Vulcan.

Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.

Launch journalist, specializing in launch photography. Based on the Space Coast, a short drive from Cape Canaveral and the SpaceX launch pads.

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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.

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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

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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.

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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.”

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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.

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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

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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.

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