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DeepSpace: SpaceX takes huge step towards Mars with flawless Crew Dragon performance
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While the mission is not done just yet, SpaceX is days away from (hopefully) wrapping up an extraordinarily smooth debut of its newest spacecraft, a human-rated vehicle known as Crew Dragon. Assuming no anomalous behavior during reentry, descent, and landing this Friday, SpaceX will likely be less than six months away from launching its first astronauts to the International Space Station (ISS), the most important step yet towards offering reliable and routine transport to Earth orbit and ultimately between Earth and Mars.
Founded by Elon Musk to kickstart a stagnant space industry and drive humanity to become an interplanetary species, SpaceX is in the process of building the first full-scale prototype(s) of the launch vehicle (Super Heavy) and spacecraft (Starship) it believes will deliver on those promises. Along with countless programmatic and technical lessons learned, every conceivable aspect of Crew Dragon’s development will feed directly into SpaceX’s development of Starship, meant to one day safely transport and land as many as 100 passengers on the surface of Mars.
A spacefaring civilization, one step at a time
In the process of building Crew Dragon, SpaceX has been forced to become rising experts in fields like human-rated environmental control and life support systems (ECLSS), as well as ensuring an even more extreme level of redundancy and reliability compared with SpaceX’s already high standards for their uncrewed Falcon rockets and Cargo Dragon spacecraft.
- More so than any particular piece of technology present on Crew Dragon, the process of both cooperating and grappling with NASA to build the spacecraft to high standards and ‘certify’ it has hopefully had an extremely positive impact on SpaceX’s own engineers and company-wide standards, albeit potentially at the cost of some of the willingness to take risks and move quickly.
“I’m personally convinced that this has made, certainly, SpaceX better, to have NASA guide us, and to look at requirements, and to try to question requirements, and what’s the true reason behind those requirements, and then basically comply with the overall safety culture that NASA taught us, I would say, to some extent. And so I feel like it certainly made a better SpaceX and made better engineers out of the SpaceX engineers. And I really appreciate that very much.”
-Hans Koenigsman, Vice President of Mission Assurance, SpaceX
Feet in Earth orbit, head in the Martian clouds
- Regardless, the end result will ultimately be a reliable spacecraft capable of transporting an average of 4-7 astronauts to and from the ISS, whether that end result is the result of near-perfect execution the first time around or discovering and fixing problems during flight tests.
- Compared to NASA, SpaceX prefers a radically agile approach to development, meaning that the company will rapidly build, test, and fly iterations of the same hardware of software, beginning with the minimum viable product and ending (although improvement never really ends) with an advanced solution optimized by extensive lessons learned.
- Through the process of building Crew Dragon, SpaceX has hopefully absorbed most of the valuable lessons and practices NASA can often be rich with while rejecting the unhealthy and unsuccessful tendencies that contribute to NASA’s distinctly unimpressive modern efforts to build human-rated rockets (SLS) and spacecraft (Orion, Space Shuttle).
- With that knowledge and technical experience, SpaceX may already have an extremely strong foundation upon which it can build its next-gen spacecraft, Starship. In theory, Crew Dragon’s life support system – meant to support up to 7 astronauts with extreme reliability and safety – should be able to scale up to ECLSS fit for dozens or hundreds of passengers.
- In a worst-case scenario relative to mass efficiency, SpaceX could quite literally package Crew Dragon’s ECLSS system into a module and duplicate it as many times as needed for a given Starship crew. Identical modules could then be transported in a cargo bay for any structures built on the surface of Mars or the Moon.
- Understandably, Crew Dragon does not need a significant number of systems critical for longer stays in space, as it is only designed to support humans for approximately one week in free-flight. SpaceX will still need to develop extremely efficient recycling systems, used to recycle water, oxygen, and other consumables to extend the amount of time the ISS (or Starship/Mars colonies) can operate without external supply deliveries.
- In essence, recycling technology is roughly (or sometimes exactly) equivalent to something known as in-situ resource utilization (ISRU), basically prioritizing local resources over shipped goods. A small subset of SpaceX’s future projects team has been working on ISRU – particularly Sabatier reactors for Starship refueling on Mars – for several years.
- In late 2017, Elon Musk stated that the design and development of SpaceX’s own ISRU hardware were “pretty far along.”
Mission Updates:
- SpaceX’s Crew Dragon spacecraft will attempt its first orbital-velocity reentry and Atlantic Ocean splashdown on the morning of Friday, March 8th.
- The second launch of Falcon Heavy could occur as early as late March
- Aside from DM-1 and Falcon Heavy Flight 2, it’s unclear what SpaceX mission will happen next. DM-1 may be the only SpaceX launch in March, while several missions are tentatively scheduled for April and May.
Photos of the week:
B1051 returned to Port Canaveral three days after successfully sending Crew Dragon on its first orbital mission. Thanks to the relatively low-energy trajectory and gentle reentry, SpaceX should be able to refurbish the booster extremely quickly.(c. Tom Cross, Pauline Acalin)
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 – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $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
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
