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SpaceX to squeeze in Falcon 9 Starlink launch before NASA’s Moon rocket debut

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SpaceX is preparing for at least one more Falcon 9 launch between now and the debut of NASA’s Space Launch System (SLS) Moon rocket, a milestone that could arrive as early as August 29th.

Depending on where the cards ultimately fall, Falcon 9 could launch up to three times between now and NASA’s last firm SLS launch window (September 5th). Multiple sources report that SpaceX’s next Falcon 9 launch – Starlink 4-23 – could occur as early as 10:22 pm EDT, Saturday, August 27th (02:22 UTC 28 August).

On August 23rd, SpaceX decided to transfer the mission from its NASA Kennedy Space Center (KSC) LC-39A pad to Cape Canaveral Air Force Station’s (CCASF) LC-40, likely in part because the latter pad is a few extra miles away from LC-39B, where NASA’s first SLS rocket is preparing for flight.

That late change may have been a simple consequence of one pad being more ready than the other was expected to be, but it could have also been driven by an abundance of caution on behalf of SpaceX, NASA, or both. At LC-40, a catastrophic Falcon 9 failure – however unlikely – would be less likely to harm the SLS rocket or Pad 39B than a similar failure at Pad 39A.

The odds of such a failure have arguably never been lower. SpaceX’s Falcon 9 workhorse recently completed its 143rd consecutively successful launch. By most reasonable measures, that string of successes likely makes Falcon 9 the most statistically reliable US rocket ever flown. SpaceX has also successfully launched 26 astronauts into orbit and returned them to Earth over the last two years. Nevertheless, given the almost $50 billion NASA will have spent on SLS and its Orion spacecraft and launch pad by the time the rocket finally lifts off, even the most extreme attempts to maximize caution could be considered reasonable.

NASA’s SLS rocket rolls to Pad 39B for (hopefully) the third and final time. (Richard Angle)
Starlink 4-23 will be Falcon 9 booster B1069’s second launch. (SpaceX)

If SLS manages to lift off during its first window, which stretches from 8:33 am to 10:33 am EDT (12:33-14:33 UTC) on August 29th, the Moon launch could find itself sandwiched between SpaceX ‘sStarlink 4-23 mission on August 27th and Starlink 3-4 on August 31st. In addition to Starlink 4-23 and 3-4, SpaceX is preparing to launch Starlink 4-20 and at least one rideshare payload no earlier than September 4th. If the first SLS launch somehow misses its first two windows on August 29th and September 2nd, the rocket’s next window of opportunity opens on September 5th.

Emphasizing the potential power of distributed launches once a high launch cadence is achieved, SpaceX’s much smaller Falcon 9 rockets have launched hundreds of tons over the last 12 months – several times more payload than the 95 tons (~210,000 lb) the multi-billion-dollar SLS is designed to launch to low Earth orbit (LEO) in one go. In fact, after Starlink 4-23, SpaceX’s fleet of partially reusable Falcon 9 rockets will have launched around 95 tons of Starlink satellites to LEO (and one South Korean spacecraft to the Moon) in less than six weeks.

Assuming it launches last, Starlink 4-20 (NET Sept 4) will be Falcon 9’s 146th consecutively successful launch and 52nd launch in 52.3 weeks, more or less achieving a 12-month running average of one Falcon 9 launch per week.

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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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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

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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