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What’s causing SpaceX’s Falcon Heavy delays?
Although uncertainty in the schedule remains, SpaceX’s Falcon Heavy rocket appears to be nearly ready for its first engine ignition test (called a ‘static fire’) sometime within the next week or so.
An attempt at 1 PM EST today, January 16, was canceled for unspecified reasons, although Kennedy Space Center reportedly maintained the usual roadblock to prevent vehicles from driving past, implying that SpaceX still intends to conduct propellant loading tests with Falcon Heavy. It was noted earlier this morning by spaceflight journalist Chris Bergin that things were “a bit too quiet” if a test was indeed planned for today, and his intuition appears to have been correct. It still remains the case that Falcon Heavy is an experimental and untested rocket to an extent, and these delays are to be expected as SpaceX works out the inevitable kinks and bugs that arise during the extensive testing big launch vehicle has been and is still being put through.
KSC is in roadblock stance, so they will still do some testing it would seem, but we will have to wait for the Static Fire itself. https://t.co/DxzsRn85NR
— NSF – NASASpaceflight.com (@NASASpaceflight) January 16, 2018
Due to range requirements in support of an upcoming launch of the United Launch Alliance’s (ULA) Atlas 5 rocket, currently NET Thursday, SpaceX has postponed the static fire of Falcon Heavy without a replacement date. It is unlikely that another attempt will occur before the upcoming weekend, but SpaceX should have at least a solid week of uninterrupted range support once ULA’s launch occurs, hopefully without delay. Godspeed to ULA, in the meantime.
The crazy complexity of rocketry
Most recently, and perhaps somewhat related to Falcon Heavy’s static fire delays, SpaceX completed as many as two complete wet dress rehearsals (WDRs), which saw Falcon Heavy topped off with full tanks of its cryogenic (super cool) liquid oxygen (LOX) and rocket-grade jet fuel (RP-1). In essence, the rocket became equivalent to several hundred tons of carefully stabilized explosive. Nominally, these rehearsals appear entirely uneventful to an outside observer, with little more than ice formation and the occasional bursts of propellant tank vents to suggest that something important is occurring. However, anomalies like the failure of Falcon 9 during the Amos-6 static fire provide a staggering demonstration of just how explosive and sensitive a rocket’s fuel is, and Falcon Heavy has approximately three times the fuel capacity of Falcon 9. Empty, Falcon 9’s mass has been estimated to be around 30 metric tons, a minuscule amount of structure in the face of the more than 500 metric tons of propellant the vehicle carries at liftoff.
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These propellant loading tests can also be challenging for reasons aside from their highly explosive nature. Due to basic realities of the physical nature of metal, the predominate ingredient for Falcon 9’s load-bearing structures, metallic structures shrink under extreme cold (and expand under heating). In the case of Falcon 9’s massive 45 meters (150 foot) tall first stage, the scale of this contraction can be on the order of several inches or more, particularly given SpaceX’s predilection towards cooling their propellant as much as possible to increase its energy density. For Falcon 9, these issues (thermodynamic loads) are less severe. However, add in three relatively different first stage boosters linked together with several extremely strong supports at both their tops and bottoms and that dynamic loading can become a fickle beast. The expansion or compression of materials due to temperature changes can create absolutely astounding amounts of pressure – if you’ve ever forgotten a glass bottled drink in the freezer and discovered it violently exploded at some future point, you’ll have experienced this yourself.
With several inches of freedom and the possibility that each Falcon Heavy booster might contract or expand slightly differently, these forces could understandably wreak havoc with the high precision necessary for the huge rocket to properly connect with the launch pad’s ground systems that transmit propellant, fluids, and telemetry back and forth. Information from two reliable Kennedy Space Center sources experienced with the reality of operating rockets, as well as NASASpaceflight.com, suggested that issues with dynamic loads (such as those created by thermal contraction/expansion) are a likely explanation for the delays, further evidenced by their observations that much of the pad crew’s attention appeared to be focused at the base of Transporter/Erector/Launcher (TEL). The TEL base hosts the clamps that hold the rocket down during static fires and launches, as well as the Tail Service Masts (TSMs) that connect with the Falcon 9/Heavy to transport propellant and data to the first stage(s). These connection points are both relatively tiny, mechanically sensitive, and absolutely critical for the successful operation of the rocket, and thus are a logical point of failure in the event of off-nominal or unpredicted levels of dynamic stresses.
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- The white bars in this photo are half of Falcon Heavy’s seperation mechanism. A number of actuators take the place of the more common solid rocket motors used with vehicles like the Delta IV Heavy. (SpaceX)
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- Falcon Heavy’s three boosters and 27 Merlin 1D engines on full display. (SpaceX)
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- Falcon Heavy. Modeled and rendered by NASASpaceflight forum user WBY1984. (WBY1984)
Test, launch, land, repeat.
All things considered, these difficulties demonstrate that even after months (even years) of relentless modeling, testing, remodeling, and retesting, rockets (and especially huge rockets like Falcon Heavy) are immensely complex, and even tiny mistakes can lead the vehicle to stray from its expected behavior. Quite simply, the reality of engineering only truly comes into play once hardware is fully in the loop, and it’s in this state that SpaceX has demonstrated again and again a distinct and elegant ability to learn from their hardware, rather than attempt to salve uncertainty with a neurotic and counterproductive level of statistical analysis, modelling, and documentation. The agile launch company still dabbles in those aspects when beneficial or necessary, but testing comes first in its importance.
The conclusion here, then, is that Falcon Heavy’s delays betray this aspect of SpaceX – a launch company that loves its fans, but also understands the need for cautious testing when it comes to new and untried rocket hardware. Whether Falcon Heavy succeeds or fails, SpaceX will learn from the proceedings, and they will be better off for it (although maybe less so financially…).
Follow along live as launch photographer Tom Cross and I cover these exciting proceedings as close to live as possible.
Teslarati – Instagram – Twitter
Tom Cross – Instagram
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Eric Ralph – Twitter
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.
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.
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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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
