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SpaceX’s fifth Falcon Heavy launch on track for Sunday liftoff
Update: SpaceX’s fifth Falcon Heavy launch is on track to launch as early as 5:56 pm EST (22:56 UTC), Sunday, January 15th. Tune in below around 5:40 pm EST (22:40 UTC) to watch the potentially spectacular launch live.
If Falcon Heavy does launch shortly after sunset, it could put on a spectacular show, lighting up the twilight skies for hundreds of miles up and down the East Coast.
The fifth Falcon Heavy rolled out of SpaceX’s Kennedy Space Center Pad 39A integration hangar on January 9th and went vertical early on January 10th. 12 hours later, it was loaded with ~1500 tons (~3.3 million lbs) of liquid oxygen and kerosene propellant and ignited for about eight seconds. SpaceX uses static fire tests more liberally than most other launch providers to try to ensure that all systems – propulsion included – are cooperating before liftoff.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
At full throttle, Falcon Heavy Block 5’s 27 Merlin 1D engines – nine per Falcon 9-derived booster – can produce 2326 tons (5.13 million lbf) of thrust at sea level, making it the most powerful privately-developed rocket in history. In terms of performance, Falcon Heavy is the fifth most capable rocket ever built and is second only to NASA’s Space Launch System (SLS) today. While the records of N1, Saturn V, and Energia still stand, all three were retired decades ago.
As is the norm for a rocket with as little experience as Falcon Heavy, SpaceX conducted the static fire test without the USSF-67 payload installed. Like USSF-44, a virtually identical Falcon Heavy launch with similar payloads that launched on November 1st, 2022, SpaceX needs to roll the USSF-67 rocket back to the hangar for fairing installation. During USSF-44, SpaceX took approximately 110 hours to go from static fire to liftoff.
USSF-67’s static fire occurred about 100-104 hours before its scheduled liftoff, meaning that SpaceX only needs to be about 5% more efficient to be ready to launch on Saturday, January 14th. Assuming Falcon Heavy returns to the hangar and rolls back to the pad about as quickly as USSF-44, the odds of a Saturday launch are decent.
SpaceX’s second direct GEO launch
Like USSF-44, Falcon Heavy will sacrifice one of its three boosters (the center core) to launch USSF-67 directly to a circular geosynchronous orbit ~35,800 kilometers (~22,250 mi) above Earth’s surface. A satellite operating at GSO will never stray from the same region of Earth, making it useful for communications and surveillance. Getting there, however, can be exceptionally difficult.
“To simplify the rocket’s job, most GEO-bound satellites are launched into an elliptical geosynchronous or geostationary transfer orbit (GTO) and use their own propulsion to circularize that ellipse.
On a direct-to-GEO launch, the rocket does almost all of the work. After reaching a parking orbit in Low Earth Orbit (LEO), Falcon Heavy’s upper stage will complete a second burn to reach GTO. Then, while conducting a complex ballet of thermal management and tank pressure maintenance to prevent all of its cryogenic liquid oxygen (LOx) from boiling into gas and its refined kerosene (RP-1) from freezing into an unusable slush, the upper stage must coast ‘uphill’ for around five or six hours.
During that journey from 300 kilometers to 35,800 kilometers, the upper stage must also survive passes through both of Earth’s Van Allen radiation belts. At apogee, Falcon S2 must reignite its Merlin Vacuum engine for a minute or two to reach a circular GSO. Payload deployment follows soon after and could last anywhere from a few minutes to hours. Finally, to be a dutiful space tenant, Falcon’s upper stage must complete at least one more burn to reach a graveyard orbit a few hundred kilometers above GEO.”
Teslarati.com – November 1st, 2023
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The USSF-67 payload is mostly a mystery. Like USSF-44, it will carry a Northrop Grumman LDPE (Long Duration Propulsive EELV) with several unspecified rideshare payloads. LPDE is a transfer vehicle capable of deploying small satellites into customized orbits and hosting payloads for months in space.
The US Space Systems Command says [PDF] that “LDPE provides critical data to inform future Space Force programs” and that “the unique experiments and prototype payloads hosted on LDPE-3A [will] advance warfighting capabilities in the areas of on-orbit threat assessment, space hazard detection, and space domain awareness.”
Stay tuned for updates on USSF-67’s launch schedule and SpaceX’s official webcast.
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
