News
NASA awards SpaceX five more Dragon astronaut launch contracts
NASA has finalized plans to purchase another five Crew Dragon launches from SpaceX, securing its astronauts access to the International Space Station (ISS) through 2030.
The award comes three months after NASA issued a notice of intent to purchase five additional missions from SpaceX. The space agency signed a different contract for three more Crew Dragon launches just three months before the latest order, meaning that NASA has now purchased eight new Crew Dragon launches from SpaceX in six months – doubling the spacecraft’s future launch manifest in the process.
August 31st’s order adds Crew missions 10 through 14 to Crew Dragon’s roster and brings its total number of planned operational NASA astronaut launches to 14. NASA says the five extra missions will cost $1.44 billion and raise the total value of SpaceX’s Crew Dragon CCtCap contract to $4.93 billion.
Factoring in a sum of approximately $2.74 billion that funded development and three test launches, NASA will ultimately pay an average of $328 million for each of 15 productive Crew Dragon astronaut launches (including Demo-2, the spacecraft’s first crewed test flight). Assuming four astronauts fly on each operational launch, the average price per astronaut launched through 2030 will be $85 million.
With its latest contract, NASA will beat that average and pay $288 million per launch ($72 million per astronaut). Crew-10 through Crew-14 will likely occur in the late 2020s, meaning that the space agency may be saving even more money than is immediately obvious. Assuming an inflation rate of 2.5% over the next eight years, $288 million today could be worth around $235 million in 2030. SpaceX is not paid until after its services are rendered.
NASA’s decision to award SpaceX eight new Crew Dragon launch contracts in 2022 is a major blow to its second Commercial Crew provider, Boeing, which has received zero additional orders. It also emphasizes just how good of a deal the agency got with SpaceX. Once said to be “well positioned to fly [its] first crew in early 2020,” Boeing’s Starliner crew capsule finally completed its first (mostly) successful uncrewed test flight in May 2022. Boeing and NASA are now working towards February 2023 for the spacecraft’s first crewed test flight, delaying Starliner’s first operational astronaut launch until late 2023 at the earliest.
Starliner still has only six operational launch contracts, which date back to ta guarantee in the original 2014 CCtCap awards that promised 2-6 operational launch contracts per provider. Thanks to NASA’s fixed-price contract with Boeing, the agency won’t have to cover the almost $700 million that years of Starliner delays and a test flight do-over have cost the company to date, but taxpayers will still end up paying a total of $4.49 billion – $748 million per operational Boeing astronaut launch.
Even using iffy Boeing calculus that claims NASA will get five seats of value per launch by adding an extra astronaut or cargo, the space agency would end up paying $150 million per astronaut through 2030. If only four astronauts launch on each Starliner, the average price per seat rises to $187 million.
Unless Boeing is able to find a commercial customer willing to burn tens or hundreds of millions of dollars to avoid launching private astronauts with SpaceX, it may never recoup the losses it has incurred developing Starliner. Worse, without Boeing paying even more out of pocket to certify Starliner to launch on a different rocket, the spacecraft will find itself without a certified rocket after its sixth operational launch.
Meanwhile, on top of eight new NASA contracts, Crew Dragon has already supported two private astronaut launches and SpaceX has contracts for five more private missions through 2024. Put simply, thanks in large part to the void created by Boeing’s surprising shortcomings, SpaceX practically owns the western market for crewed orbital spaceflight and will likely continue to dominate it throughout the 2020s.
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
