News
SpaceX’s first Falcon Heavy launch in three years eyes late-October liftoff
For the second time in 2022, SpaceX’s Falcon Heavy rocket has a firm launch date for the first time in more than three years.
Cursed by a seemingly relentless flood of delays impacting almost every one of the rocket’s payloads, Falcon Heavy made it within three or four months of ending its launch drought as recently as June 2022. At the time, the rocket was more or less ready to begin assembly, but NASA announced late that month that the Jet Propulsion Laboratory (JPL) and supplier Maxar had failed to finish qualifying software needed to power its Psyche spacecraft. Designed to journey to and enter orbit around the asteroid 16 Psyche, the complex trajectory required to reach it constrained the mission to a launch window sometime between August and October.
When JPL and Maxar were unable to properly test the spacecraft’s software in time for that window, they were forced to stand down and wait until the next earliest window, which begins in July 2023. That left Falcon Heavy with three more possible payloads to launch in 2022, but all three were chronically delayed and there was little reason to believe that even one of them would be ready to launch before 2023. However, Falcon Heavy’s single most delayed payload appears to have made a breakthrough, giving the most powerful rocket currently in operation at least one more shot at a 2022 launch.
Continuing an excellent series of reports tracking Falcon Heavy’s never-ending US military payload delays, Spaceflight Now broke the news with an official statement from the US Space Force, which confirmed that an unspecified industry partner had finally resolved payload problems that have delayed the military’s USSF-44 mission by two years. More importantly, the USSF spokesperson revealed a specific target of October 28th.
The US military has repeatedly offered implausible launch targets for USSF-44 with little to no official explanation for the mission’s delays, making it reasonable to appraise any specific launch date much like a boy crying wolf. But this particular target, announced within the same month as its date, is a bit more believable on its own.
Thankfully, it’s not on its own. On October 7th, SpaceX sent out an email confirming that Falcon Heavy is scheduled to launch USSF-44 sometime in October and asking members of the media to register for press site access and remote camera setup opportunities. It’s possible that the rocket or USSF-44 satellites will run into issues and trigger additional delays, but a press accreditation email is about as close as one can get to a believable guarantee that a secretive US military payload is on track for a SpaceX launch scheduled more than a week or so in the future.
The mission’s next major step forward will be the assembly of Falcon Heavy inside SpaceX’s main hangar at its NASA Kennedy Space Center LC-39A pad. Photos SpaceX shared last month and earlier this month of preparations for Crew-5, Falcon 9’s eighth successful astronaut launch, show that at least two of the four main stages that make up Falcon Heavy are already inside that hangar. One of two new Falcon Heavy side boosters was clearly spotted on September 30th.



The rocket’s expendable upper stage was also clearly visible in a September 23rd photo. Ordinarily, Falcon upper stages are nearly indistinguishable from each other, but the upper stage stored behind the Crew-5 upper stage in the foreground features a unique grey band around the bottom of its airframe. In July 2019, SpaceX tested another Falcon 9 upper stage with the same grey band, which a spokesperson explained was meant to improve the rocket’s longevity in orbit.
Long orbital coasts of six or more hours are necessary for some of the most challenging launch trajectories. Direct-to-geostationary launches are the most common type of mission to require long coast capabilities and are often demanded by the US military. The grey band’s purpose is to increase the amount of heating absorbed from sunlight to warm the liquid kerosene (RP-1) fuel contained within that part of the rocket. When it gets too cold, kerosene – which freezes at a much higher temperature than Falcon’s liquid oxygen oxidizer – becomes viscous and slush-like before it freezes solid. If ingested, slushy fuel would likely prevent ignition or destroy the upper stage’s Merlin engine.
USSF-44 will be SpaceX’s first direct geostationary launch attempt, explaining why the grey band has reappeared more than three years after its first test. Coincidentally, Falcon Heavy’s third and latest launch occurred in June 2019, just one month before that upper stage test. 40 months later, the rocket might finally launch again, and it will do so by attempting what is likely SpaceX’s most difficult customer mission to date. To enable the high performance required for the mission, USSF-44 will also intentionally expend a Falcon Heavy booster for the first time. The rocket’s two new side boosters will boost back to Florida and land side by side at LZ-1 and LZ-2, but its new center core will be expended after a single flight.

SpaceX has already finished converting Pad 39A’s mobile transporter/erector, which was previously set up for single-core Falcon 9 rockets. The T/E will eventually roll inside the pad’s integration hangar, confirming that Falcon Heavy has been fully assembled and is about to be installed on the structure. The rocket will then be rolled out to the pad and brought vertical for static fire testing, a process that will likely begin at least a week before the current October 28th launch target.
If testing is successful, Falcon Heavy will return to the hangar, have its fairing and USSF-44 payload installed, and roll out to the pad one last time. Stay tuned for updates on that ongoing process.
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.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
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.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
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.
