News
Tesla dominates January BEV sales in the United States with S3XY lineup all in Top 10
Tesla’s domination of the United States electric vehicle sector continues Tesla’s Model Y, Model 3, and Model S claimed the top three spots of January’s U.S. BEV registrations, with its top two models combining for well over 60 percent of the total electric vehicle sales during 2022’s first month. The Model X was ninth on the January list.
Around 50,380 electric vehicles made their way to customers in the United States in January, according to new data from Experian and Automotive News. The U.S. has lagged behind other countries in terms of electric vehicle adoption, but there is still plenty of data to be encouraged about. While automakers like Ford, Nissan, Hyundai, Volkswagen, Kia, and others are adopting electric powertrains and aligning with the long-standing mission of accelerating the world’s transition to sustainable energy, there is still only one king of the hill in the U.S., and it is Tesla.
The Model Y was the nation’s best-selling EV in January, with 18,549 units sold. The Model 3 won a respectable silver medal, while the Model S, Tesla’s flagship sedan, accumulated 3,903 sales. The Model Y accounted for 36.8 percent of all BEV sales in the United States, while the Model 3 made up 27 percent. Tesla’s two mass-market vehicles combined for around 63.8 percent of the total electric vehicle sales in January, an impressive statistic considering the wide array of competitive options now available to consumers.
The Model Y and Model 3 are Tesla’s mass-market vehicles and were essentially the two cars that made EVs a “household” name. While many models came before them, the Model 3 was the first electric vehicle to disrupt the traditional combustion engine market. Before Tesla alleviated itself from the trenches of “production hell,” the Model 3 was the most-ideal combination of range, performance, and affordability offered on the market. Then, Tesla released the Model Y, and CEO Elon Musk predicted it would eventually outsell the Model 3 and the rest of the vehicles on the market.
Credit: Tesla
“I’d say more likely than not that in 2022 Model Y is the best-selling car or truck of any kind in the world,” Musk said during the Q1 2021 Earnings Call last year. While it has beat out every other electrified model on the market, the Model Y’s place on a global scale by year’s end may be atop the best-seller’s list. However, that day remains to be seen.
The Model X did make the list, placing ninth with 1,106 vehicles. Tesla has not completed many deliveries of its new, updated version of its SUV. Delivery dates are still being adjusted somewhat regularly, but Musk admitted the Model X ramp was one of Tesla’s biggest ball drops in recent history.
Here is the complete list of sales, courtesy of our friends at InsideEVs.
- Tesla Model Y – 18,549 (36.8% of all BEVs)
- Tesla Model 3 – 13,604 (27% of all BEVs)
- Tesla Model S – 3,903
- Ford Mustang Mach-E – 2,781
- Nissan LEAF – 1,479
- Hyundai Ioniq 5 – 1,253
- Volkswagen ID.4 – 1,153
- Kia Niro EV – 1,146
- Tesla Model X – 1,106
- Porsche Taycan (all versions) – 972
- other – 4,438
- Total – 50,384
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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.