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Elon Musk says SpaceX could build new Moon spacesuits for NASA
A new report from NASA’s Office of the Inspector General (OIG) strongly suggests that spacesuit availability, of all things, could prevent NASA from returning humans to the Moon on schedule in 2024.
Days prior, a similar watchdog office (GAO) denied protests from Blue Origin and Dynetics that were preventing NASA and SpaceX from working on the Starship-derived lander that will land those same humans on the Moon. Now, in an indirect response to NASA OIG’s analysis of the status of NASA’s next-generation spacesuit procurement efforts, CEO Elon Musk says that SpaceX may be able to provide its own custom Moon-rated spacesuits on top of a Starship lander.
As it turns out, SpaceX is already one of around two dozen “interested parties” [PDF] active in NASA’s new xEVAS (Exploration Extravehicular Activity Services) program – an effort to commandeer the spectacular success of commercial cargo and crew programs to replace half-century-old spacesuits. xEVAS has currently released a draft Request for Proposal (RFP) and is awaiting responses to that draft until mid-August before releasing the true RFP in mid-September.
Interested parties will then have until mid-October to submit proposals to design and build modern EVA (extravehicular activity) spacesuits capable of supporting astronauts on the lunar surface and on spacewalks in Earth orbit. NASA says it will then take a full five (or seven) months to review those proposals, downselect, and reward at least one or two contracts – hopefully resulting in two redundant EVA systems much like the 2+ redundant providers NASA chose to support its Commercial Crew (CCP) and Cargo Resupply Services (CRS) programs.
Over the last decade and a half, NASA has been very gradually working on its own next-generation EVA suits. Known as “xEMU,” the program has been less than smooth, running into multiple issues, funding shortfalls, and delays over the years. NASA OIG’s August 10th, 2021 report [PDF] says that the minimum two xEMU suits needed to support a planned crewed Moon landing as early as 2024 are almost certainly not going to be ready by 2024 after COVID-19, funding shortfalls, and technical difficulties recently delayed the program by almost two years. The office estimates that those NASA-built EVA suits will be ready absolutely no earlier than April 2025.
However, in April 2021, NASA kicked off its brand new xEVAS program – a program that strongly implies that the agency is all but giving up on building its own xEMU EVA suits. While it appears that the agency still plans to build six of its own xEMU suits as a hedge against its innovative, unprecedented xEVAS EVA-suits-as-a-service program, there’s a chance that NASA’s prospective commercial providers could help mitigate or outright prevent spacesuit availability from delaying humanity’s return to the Moon.
Of course, with NASA set to award xEVAS contracts no earlier than either March or May 2022, providers would be left with a mere ~30 months to design, prototype, build, and qualify what amount to personal human-rated spacecraft (EVA suits). According to NASA, “the goal is to achieve one or more EVA service demonstrations as early as 2024, and the full suite of commercial EVA services beginning as soon as feasible thereafter” – an extraordinarily ambitious target.
Notably, for its spectacularly successful Crew Dragon program, SpaceX has already developed and repeatedly flown a custom pressure suit for Dragon astronauts. That IVA suit is designed to keep astronauts alive in the event of spacecraft depressurization. Due to the mobility they must provide and a resultant need for light and portable power and life support systems, EVA suits are dramatically more complex than IVA suits, which offer very little mobility when fully pressurized and are permanently connected to their spacecraft through umbilicals.
If anyone can rise to the challenge of developing an EVA suit from scratch in two years, though, it’s likely SpaceX.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
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.
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.
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.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
