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Tesla is mainly responsible for the growth of the US’ EV market share, says study
There are several notable companies making all-electric vehicles, but among them, Tesla remains the undisputed leader when it comes to raising awareness for EVs. This was recently reflected in a study from Atlanta-based Cox Automotive, which surveyed 2,503 consumers comprised of electric car owners, EV considerers and EV non-considerers, as well as 308 franchised dealers, to determine the gap between consumers’ and dealers’ barriers and expectations with the current EV realities in the United States.
Based on the results of the study, 81% of car buyers who were open to acquiring an electric car listed Tesla as a vehicle that they were considering for purchase. The gap between Tesla and veteran automakers is notable, with the second place, Toyota, far behind at 52%. Chevrolet was listed by 47% of potential EV buyers, Nissan was listed by 42%, and Honda was listed by a mere 39% of EV considerers.
In a conference call with reporters, Cox Automotive Mobility Group manager of Research & Market Intelligence Rachelle Petusky credited Tesla for positioning itself as a key leader in the electric vehicle market. “They’ve done a wonderful job at presenting themselves as the innovative leader of electric vehicles and therefore, this is translating high awareness among consumers,” she said.
Petusky even went so far as to state that without Tesla in the picture, the market share for electric cars in the United States is “stagnant.” This was despite the alleged impending arrival of dozens upon dozens of electric and electrified vehicles from traditional carmakers.
While Tesla remains a dominating force in the pure electric car segment, Cox’s study also showed that a notable portion car buyers still have reservations about EVs as a whole. Among the respondents who identified themselves as EV Non-Considerers, 83% listed battery limitations and charging anxiety while 70% listed high costs as their barriers to purchasing an electric car. This, according to Petusky, is unfortunate, as EV pricing has actually increased far less than the price of internal combustion cars over the past years.
“EV pricing has only minimally increased in the last 7 years while pricing for new internal combustion engine vehicles has spiked almost 19%. This affordability gap, as it closes, is one of the key areas of educational opportunities for both dealers and OEMS to help consumers to understand what is really a valid option for them,” she said.
Misconceptions about battery longevity are also abounding. Even among respondents who are considering an electric car purchase, 50% viewed the average battery life of EVs at 100,000 miles or more, while 46% stated that they believe the average battery life of an EV was only 65,000 miles or less. In comparison, Consumer Reports notes that the expected lifespan of an internal combustion engine is about 200,000 miles.
Quite interestingly, dealers who participated in the survey admitted that they are experiencing operational challenges in pushing EV sales. Apart from vehicle costs and battery longevity, 55% of dealers reported a lack of inventory and available models as difficulties, while 54% stated that they see lower ROI for EVs compared to internal combustion cars. A third of the dealers in the study also pointed to the lack of OEM sales, marketing support, and poor sales training as a challenge for more electric car sales. Only 9% of dealers stated that carmakers are exerting pressure to hit EV sales targets as well.
Cox Automotive’s full press release on its recent EV study could be found here.
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.
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
