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Lucid Motors details production efforts, new showrooms, and its SUV
Lucid Motors has released new details regarding the production of the Air sedan, along with plans of an upcoming flagship studio in New York City and some minor updates on the Gravity SUV that it announced late last year.
Lucid and Churchill Capital Corp IV filed new details with the SEC, stating that the company has completed the “preproduction builds and has started the production of quality validation builds of the Lucid Air.” Automakers utilize preproduction builds to identify problems or issues before the model goes on sale and is delivered to the public. Oftentimes, companies use this process to iron out production issues that won’t necessarily affect the vehicle’s performance. Still, more often than not, the cosmetic issues are what is being identified. Things like panel gaps or paint issues can be identified and resolved, so they are ready for the car’s production version.
Lucid shows the tedious process of building the Air Dream Edition
Along with the imminent production of what will eventually be delivery-ready models of the Air, Lucid also announced that capital and financial flexibility available upon the business combination with CCIV would enable the automaker to accelerate around $350 million of planned CAPEX investment from 2021 to 2023. These investments could expand by up to 6-7% from 2021 to 2026. The investments could be used for:
- Accelerate additional manufacturing capacity for the Lucid Air to capitalize on expected demand, and implement a dedicated Lucid Gravity general assembly line
- Combines the next two phases of the Arizona facility expansion into one expedited phase
- Provides 2.7 million square feet of additional manufacturing space by 2023, enabling increased Lucid Air capacity up to approximately 53,000 vehicles per year
- Improves production flexibility between Lucid Air and Lucid Gravity, as well as for specific vehicle variants.
- Enhance Lucid Gravity design/performance
- Vertically integrate certain functions (e.g., Stamping & Battery Enclosures) via accretive in-housing investments (higher quality/lower costs)
- The company expects to launch Lucid Gravity at the end of its projected second half of 2023 timeline and intends to have increased production of Lucid Air in 2023 and 2024. It expects total vehicle volumes to be unchanged for 2023 and 2024.
- Lucid continues to expect existing cash resources following the business combination will fund its planned operations at least through 2022.
Teslarati reported in March that Lucid received approval to expand its Casa Grande, Arizona, factory by 2,400,000 square feet. The new addition would include a Body in White expansion, Stamping Plant, General Assembly Lines, Powertrain Plants, Warehousing, and others.
Lucid said it recently passed 10,000 paid reservations for the Air sedan. These figures include the roughly 500 units that the automaker left for its premier variant of the car, the Dream Edition, along with the Grand Touring, Touring, and Pure variants. Lucid told Teslarati that the company would produce roughly 500 Dream Edition sedans. It closed reservations for the top variant on March 22nd.
Lucid also announced that it would open up a new “flagship” Studio in the Meatpacking District of New York City this week. Earlier this month, Lucid opened up a studio in Chicago, which has been operational since June 11th.
“The updates from Lucid Motors today reinforce the strong interest and demand from consumers for electric vehicles that deliver new industry standards for efficiency and range, which has actually allowed us to accelerate and enhance our plans for development and production,” Peter Rawlinson, CEO and CTO of Lucid, said. “The company is choosing to accelerate plant capacity expansions and to build a dedicated Lucid Gravity general assembly line which is expected to lead to higher Lucid Air sales volumes in 2023 while remaining within the second half 2023 Lucid Gravity launch window.”
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
