News
Lucid Group details strong Q3 with $4.8B in cash, increased Air orders, plant expansion begins
Lucid Group (NASDAQ: LCID) today reported its financial results for the third quarter of 2021, detailing a strong financial balance sheet thanks to its SPAC merger and private investment in public equity (PIPE), increased pre-order counts of its initial sedan, the Air, and an expansion of its Casa Grande factory that will add 2.85 million square feet of manufacturing space.
Lucid said that its balance sheet strengthened significantly through the closing of the de-SPAC reverse merger and PIPE, which provided approximately $4.4 billion to the company. “Lucid’s strong balance sheet following the closing of the merger enabled us to drive the growth of our business and execute on our larger mission to inspire the adoption of sustainable energy,” Lucid Group CFO Sherry House said. “Moving forward, we anticipate continuing vehicle deliveries to customers, investing in capacity and capabilities, and providing value to all of our stakeholders.”
Lucid’s Water-Based paint facility. (Credit: Lucid Motors)
As initial deliveries of the Air sedan began on October 30th with its Dream Edition sedan, Lucid is also working to expand production lines and ready a growth of manufacturing and deliveries. The company said it has also continued to add team members to its Research and Development and Selling, General, and Administrative teams. Production is set to expand within the coming years as well, as Lucid also stated the expansion of its Arizona factory has already started. Production capacity will reach 90,000 units by the end of 2023, which will supplement the development and production of Lucid’s initial SUV, known as “Project Gravity.”
“We are tremendously excited by our accomplishments in our first quarter as a publicly-traded company,” CFO/CEO Peter Rawlinson said. “Our progress this quarter demonstrates our focus on execution, our cutting-edge technology, and our vision to help with solutions to address the climate challenges we all face. We look forward to ramping up production of our Grand Touring, Touring, and Pure models and expanding our footprint internationally.”
Q3 was arguably Lucid’s most highlighted in its brief history. Amongst the initial deliveries and expansion of its facility, Lucid also obtained the longest EPA-certified EV range rating at 520 miles with the Air Dream Edition R. “Lucid’s technological prowess is a key differentiator for the company, with a ‘clean-sheet approach to vehicle development that resulted in the ground-breaking Lucid Air, with six trim variants whose range exceeds 450 miles on a single charge. The Dream Edition R achieves 520 miles of range on a single charge,” the company wrote in its release.
Credit: Lucid Motors
Perhaps one of the most substantial developments that Lucid detailed in its Q3 Shareholders’ Press Release was the increase in reservations the company has experienced since the end of Q3. While customer reservations rose from 10,000 to 13,000 in Q3, Lucid has added an additional 4,000 reservations to its backlog. Its 13,000 Q3 reservations booked more than $1.3 billion of business for Lucid Group. “We see significant demand for the award-winning Lucid Air, with accelerating reservations as we ramp production at our factory in Arizona. We remain confident in our ability to achieve 20,000 units in 2022,” Rawlinson added. “This target is not without risk given ongoing challenges facing the automotive industry, with global disruptions to supply chains and logistics. We are taking steps to mitigate these challenges, however, and look forward to the launch of the Grand Touring, Touring, and Pure versions of Lucid Air through 2022.”
Lucid shares closed at $44.88 on Monday, up 2.16%. After hours trading saw the stock up over 6% at the time of writing, trading at $47.59. Lucid’s Q3 Earnings Call will take place at 5 PM ET/ 2 PM PT.
Lucid Group’s full Q3 Shareholder deck is available here.
Disclosure: Joey Klender is not a LCID Shareholder.
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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.”
News
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
