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SpaceX Falcon Heavy launch contracts reach double digits after latest NASA win
For the third time in seven months, NASA has contracted SpaceX’s Falcon Heavy rocket to launch a high-value scientific spacecraft, raising the number of active contracts for the world’s most powerful rocket into the double digits.
In a twist that has become increasingly unsurprising, a spokesperson from SpaceX competitor United Launch Alliance (ULA) says that the company – the only other competitor for the contract – withdrew its bid because it had no more Atlas V rockets available. ULA announced earlier this year that it had officially stopped selling Atlas V launches, leaving a total of 29 more launches – all already reserved for specific customers – before the rocket is fully retired. Unfortunately for ULA, the Vulcan Centaur rocket it’s been developing to replace Atlas V and Delta IV since 2013 or 2014 is years behind schedule.
Somewhat inexplicably, even though ULA bid Vulcan to launch a high-value NASA payload in Q4 2024 as recently as this year, the company apparently didn’t feel that its next-gen rocket would be ready to launch a different payload in Q2 2024. In response, NASA’s only option to launch the GOES-U geostationary weather satellite was SpaceX’s offering, guaranteeing it the contract when ULA backed out of the competition.
Part of an 18-satellite fleet dating back to the 1970s, GOES-U will be the fourth and (as of now) final satellite in a modern extension of the GOES (Geostationary Operational Environmental Satellite) program contracted by NASA for NOAA in 2008. In 2013, GOES-T and GOES-U were added to the original GOES-R and GOES-S, nominally resulting in four satellites built by Lockheed Martin for an average of ~$350M each.
ULA or ULA-heritage rockets have launched all 18 GOES satellites to date and there was little reason to believe that wouldn’t continue until the end of the GOES-R series. However, as a result of ULA’s major Vulcan development delays, it appears that the company now finds itself temporarily incapable of competing for launch contracts. That makes it hard to judge whether SpaceX would have won GOES-U without ULA’s withdrawal, though it’s difficult to imagine ULA could have beat Falcon Heavy’s $153M contract price.
In one of the most unequivocal signs of SpaceX’s immense impact on even the launch contracts it lost, ULA’s first two GOES-R-series Atlas V launch contracts were each valued at $261M in 2021 dollars when they were awarded in 2013. In 2019, NASA again awarded ULA a contract to launch GOES-T on an identical Atlas V 541 rocket – but this time for just $177M (2021).
It’s unclear what kind of configuration Falcon Heavy will be in for its April 2024 GOES-U launch. For ULA’s GOES-R and GOES-S launches, Atlas V has delivered each ~5200 kg (~11,500 lb) weather satellite to an “optimized geosynchronous transfer orbit [GTO].” A bit like a middle ground between an elliptical GTO launch and a direct-to-geostationary-orbit (GEO) launch, both missions required Atlas V’s Centaur upper stage to perform three separate burn – and one after a three-hour coast. In theory, Falcon Heavy should be able to easily launch GOES-U to a similar orbit while allowing SpaceX to recover all three boosters, though it’s possible that safety margins will mean the center core is expended.
Regardless, Falcon Heavy continues to more than prove that SpaceX made the right choice by investing significantly more than $500M of its own money to develop the rocket. In 2021 alone, the rocket has secured three NASA launch contracts worth around $660M. In 2020, SpaceX won another ~$120M Falcon Heavy launch contract from NASA. All told, the rocket has now earned the company ten active launch contracts, including four or five in 2022 alone: ViaSat-3, USSF-52, NASA’ Psyche, USSF-67, and perhaps an Inmarsat commsat. In 2023, Falcon Heavy could launch Astrobotic’s first Griffin Moon lander with NASA’s VIPER rover, followed by GOES-U, Europa Clipper, and (though delays are very likely) two parts of NASA’s Gateway lunar space station.
Including USSF-44 (scheduled to launch next month) and assuming Inmarsat’s I-6 F2 commsat ends up on Falcon Heavy, the rocket now has ten launch contracts after winning GOES-U. Additionally, while the program appears to be in limbo, NASA did technically announce plans for SpaceX to launch at least two Dragon XL spacecraft on Falcon Heavy to resupply the lunar Gateway station – a total of 12 missions if those plans turn into tangible contracts.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
