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SpaceX’s next Falcon Heavy launch and landing could be more than a year away

Falcon Heavy launched for the third time ever on June 25th, successfully recovering 2 of 3 boosters and placing 24 satellites in their proper orbits. Falcon Heavy Flight 4 could be more than 16 months away. (SpaceX)

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According to comments made by US Air Force officials prior to SpaceX’s latest Falcon Heavy launch, the payload assigned to the military’s first fully-certified Falcon Heavy has been swapped with another, although the mission’s late-2020 launch target remains relatively unchanged.

This new information comes on the heels of the June 25th launch of Space Test Program 2 (STP-2), SpaceX’s third successful Falcon Heavy mission and a huge milestone for the rocket’s future as a competitive option for US military launches. Perhaps most importantly, it confirms – barring a surprise launch contract or internal Starlink mission – that Falcon Heavy’s next (and fourth) launch is unlikely to occur until late next year, a gap of at least 15-17 months.

Announced roughly four months after Falcon Heavy’s inaugural February 2018 launch debut, the USAF contracted with SpaceX to launch the ~6350 kg (14,000 lb) AFSPC-52 satellite no earlier than (NET) September 2020. In February 2019, Department of Defense contract announcements revealed that SpaceX had been awarded three military launch contracts, two for the National Reconnaissance Office (NROL-85 & NROL-87) and one for the USAF (AFSPC-44), all tentatively scheduled to launch in 2021.

First reported by Spaceflight Now, Col. Robert Bongiovi – director of the launch enterprise systems directorate at the Air Force’s Space and Missile Systems Center (AFSMC) – recently indicated that AFSPC-44 – not AFSPC-52 – is now scheduled to be the US military’s first post-certification Falcon Heavy launch. 52 and 44 have essentially swapped spots, with AFSPC-44 moving forward to NET Q4 (fall) 2020 while AFSPC-52 has been delayed to NET Q2 (spring) 2021.

Falcon Heavy lifts off from Pad 39A for the third time ever. (Tom Cross)

The trouble with launch gaps

Although Bongiovi did not explicitly state that AFSPC-44 will be SpaceX’s next Falcon Heavy launch, there are no publicly-disclosed missions set to launch on the rocket in the interim. That could theoretically change, especially if SpaceX has plans to launch the massive rocket in support of an internal Starlink mission or even something more exotic, but the loss of both Block 5 center core B1055 and B1057 means that the company will have to build an entirely new center core.

SpaceX’s Falcon Heavy lead times are far superior to competitor ULA’s Delta IV Heavy production line, but the process of manufacturing new center cores is still quite lengthy. Critically, Falcon Heavy Block 5 center cores require strengthened octawebs, custom interstages, and propellant tanks that are significantly thicker than those used on Falcon 9. For all intents and purposes, a center core is a totally different rocket relative to a Falcon 9 booster, the latter being SpaceX’s primary focus at the company’s assembly line-style Hawthorne factory. It’s theoretically possible for a dedicated Falcon Heavy center core build to be expedited or leapfrogged forward in the production queue, but most long-lead Falcon 9 booster hardware physically cannot be redirected to speed up center core production.

An overview of SpaceX’s Hawthorne factory floor in early 2018. (SpaceX)

Unless SpaceX was already in the process of building a new center core prior B1057’s unsuccessful landing attempt, it’s safe to assume that the next custom Falcon Heavy booster is unlikely to be completed until early 2020, if not later. In theory, this means that Falcon Heavy could be dormant for no less than 16 months between STP-2 and its next launch. Traditionally, that sort of lengthy gap between launches has been frowned upon by NASA, ULA, and oversight groups like GAO. If a given rocket doesn’t launch for a year or more, it can potentially pose a risk to reliability and raise costs as its production and launch teams have no satisfactory way to fully preserve their technical expertise.

This can be compared to attempting to become an expert at a musical instrument while only having access to said instrument one or two months a year, essentially impossible. In fact, at one point, NASA hoped to require its Space Launch System (SLS) rocket be able to launch no less than once per year, partly motivated by a desire to mitigate some of the deterioration that can follow extremely low launch cadences. Years later, financial constraints and years upon years of delays and budget overruns have made such a cadence effectively impossible for SLS/Orion, but the fact remains that launching a rocket just once every 18-24 months is likely to inflate both costs and risks.

The first Block 5 version of Falcon Heavy prepares for its launch debut.
Falcon Heavy Flight 2, April 2019. (SpaceX)
Falcon Heavy Flight 3, June 2019. Both side boosters (left and right) are flight-proven and launch as part of Flight 2 just ~75 days prior. (SpaceX)

Thankfully, SpaceX’s Falcon Heavy could scarcely be more different than NASA’s SLS and the retired Space Shuttle it derives most of its hardware from. Even if all things are held equal and not flying a Falcon Heavy center core for 16+ months increases risk and cost, center cores are still heavily derived from Falcon 9 booster technology, including plumbing, avionics, attitude control thrusters, Merlin 1D engines, landing legs, and launch facilities.

Furthermore, the center core is just one of five distinct assemblies that make up a given Falcon Heavy. Both side boosters are effectively Falcon 9 Block 5 boosters with nose cones instead of interstages and slight modifications to support booster attachment hardware, while the upper stage and payload fairing are the same for all Falcon launches. In other words, SpaceX’s workforce will continue to build, launch, land, and reuse dozens of Falcon 9 boosters – as well as upper stages payload fairings – between now and Falcon Heavy Flight 4, even if it’s NET Q4 2020. In a worst-case scenario, SpaceX production and launch staff will be unfamiliar and inexperienced with maybe 20% of Falcon Heavy – at least in a very rough sense. Even then, much of that unfamiliarity may still be tempered by the fact that Falcon Heavy center cores share a large amount of commonality with the Falcon 9 first stages SpaceX’s workforce will remain deeply familiar with.

Indeed, Falcon Heavy’s second launch has already demonstrated this to some extent, occurring without issue more than 14 months after the rocket’s inaugural launch. It seems that the only real loss incurred by a ~16-month delay between Flights 3 and 4 will be having to wait another year (or more) to witness Falcon Heavy’s next launch.

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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

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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