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SpaceX’s NASA Crew Dragon launch manifest doubles in three months
NASA says it will soon award SpaceX another five Crew Dragon astronaut transport contracts after purchasing three extra missions from the company on February 28th.
That June 1st announcement means that NASA has more than doubled the number of operational Crew Dragon astronaut launches planned between 2020 to the end of 2030 in the last three months – a decision that represents another major SpaceX upset over Boeing. In reality, NASA has simply made some cold and rational calculations about its two Commercial Crew providers and – with no ill intent – made far-reaching decisions to preemptively secure its astronauts’ access to the International Space Station (ISS) for the rest of this decade. Intentional or not, however, the optics of those decisions speak volumes.
When NASA awarded Boeing and SpaceX their original $4.2 billion and $2.6 billion Commercial Crew Transportation Capability (CCtCap) contracts in 2014, the agency’s goal (or hope) was for both providers to complete the development of their Starliner and Crew Dragon spacecraft in roughly the same amount of time. Boeing and SpaceX would have then taken turns, each performing one six-month crew transportation mission per year and ensuring redundant access to the ISS for the rest of its life.
More realistically, the general assumption was that Boeing – an ancient aerospace company with half a century of spaceflight experience – would smoothly complete Starliner while SpaceX – a 12-year-old startup – would struggle to push Crew Dragon across the finish line. Of course, exactly the opposite proved to be true. For what would ultimately become (to NASA) $3.15 billion to Boeing’s $4.95 billion and development and test flight costs of $1.2 billion to Boeing’s $2.2 billion, SpaceX completed its first successful uncrewed and crewed Crew Dragon test flights in March 2019 and May 2020. In contrast, Boeing’s first uncrewed Starliner launch attempt nearly ended in catastrophe in December 2019. A second July 2021 attempt at that mission was prevented from launching by unrelated technical difficulties. Only on May 25th, 2022 did Boeing finally complete the equivalent of Crew Dragon’s March 2019 Demo-1 test flight.
NASA’s February 28th purchase of three more SpaceX Crew Dragon missions was unsurprising. The future of Starliner was still unclear and the Dragon missions it was purchasing could be needed as early as 2023 if Boeing’s spacecraft was not ready in time. The timing of NASA’s notice of intent to purchase another five Crew Dragon missions one week after the end of Boeing’s mostly successful OFT-2 test flight, however, is somewhat surprising. Instead of throwing Boeing a bone after its long-awaited success and somewhat balancing the scales between its two Commercial Crew providers, NASA has ultimately decided to purchase more than twice as many crew missions from SpaceX.
Following NASA and SpaceX’s successful Crew-4 launch last month, the space agency needs 16 more six-month transport missions from SpaceX and Boeing to ensure astronaut access to the ISS between now and late 2030. NASA has issued its intent to perform up to 14 operational Crew Dragon missions and up to 6 Starliner missions (via Boeing’s original contract). Subtracting the 4 missions SpaceX has completed or is in the midst of completing, NASA will soon have all the contracts it needs to crew the ISS until the end of 2030 without purchasing a single extra mission from Boeing.
As a result, barring surprises, SpaceX will likely be responsible for launching 70% of all NASA and ESA astronauts from late 2020 to the end of 2030, while Boeing will be tasked with carrying the remaining 30%. A less likely Commercial Crew outcome would have been hard to imagine in 2014.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS –Â $0.41 Reported vs. $0.36 Expected
- Revenues –Â $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow –Â $1.444 billion
- Profit –Â $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
