News
Tesla Model 3 tops survey for the world’s most searched-for electric car
A recent study from a Compare the Market, a UK-based price comparison company, has determined that the Tesla Model 3 is currently the world’s most searched-for all-electric vehicle in the world. Following behind the Model 3 was longtime EV veteran Nissan Leaf, as well as Tesla’s two other cars, the Model S and the Model X.
The UK-based firm’s study utilized Google search data to determine the most popular search term for each electric vehicle on the market and compare each car’s popularity across the globe. The survey’s figures are exclusive only to searches of battery-electric cars, as hybrids, plug-in hybrids, and hydrogen vehicles like the Toyota Mirai were not included in the survey.
According to Compare the Market’s results, the Tesla Model 3 is the overwhelming winner worldwide, being the most-searched-for EV in 54.7% of search traffic surveyed. That accounts for more than half of the 136 countries covered in the study. It should be noted that the gap between the Model 3 and the study’s second placer, the Nissan Leaf, was notable as well, with the Japanese-made EV leading in 16.1%, or 22 countries across the globe.
The Tesla Model S and Model X were the study’s 3rd and 4th placers, leading the rankings in 13.1% and 9.5%, taking of the search traffic surveyed. Overall, Tesla’s electric car lineup dominates internet searches for all-electric vehicles in 77.3% of the countries surveyed by the UK-based firm.
Apart from the Nissan Leaf, other non-Tesla vehicles that proved popular in Google searches were the BMW i3 (4.4%), and the Renault Zoe (2.2%). Other premium EVs such as the Jaguar I-PACE, the Audi e-tron, and the Mercedes EQC did not rank in the survey.
The study’s results become quite interesting when they are broken down by country. The Model 3 held a clean lead in a number of the world’s key auto markets, such as the United States, China, most of Europe, and even India, a country that is yet to see its first Tesla store. The Nissan Leaf dominated in Russia, while the Tesla Model S received the most search traffic from Mexico and Argentina. The BMW i3 even proved particularly popular in Brazil.
Interestingly, the study shows that the rankings didn’t necessarily align with the national origins of a particular vehicle. In Japan, for example, it was the BMW i3, a German car, that dominated internet searches. Germany, the home of the BMW i3, displayed strong interest for an American all-electric car, the Tesla Model 3.
Considering the hype and the close news coverage that follows Tesla’s electric car lineup, it is rather unsurprising to see the Model 3 dominating in the UK-based firm’s study. What is particularly notable was that even with the Model 3 taking most of the spotlight, Tesla’s Model S and Model X, which have already been in the market for years, ranked highly in the survey nonetheless. This shows that Tesla has become a brand that is perceived as a premier maker of EVs across the globe, even in areas where it is yet to begin selling its vehicles.
Part of Tesla’s secret sauce for its vehicles’ popularity lies in the company’s strong online presence, which it grows through organic engagement in social media. This was highlighted by a study from competitive intelligence analysis firm BrandTotal, which noted that Tesla, despite investing $0 in paid advertising on social media platforms, is the car company with the strongest social media presence. “Strong brands are able to command high engagement even without a robust digital ad spend. In Tesla’s case, we see their engagement numbers are high compared to other auto brands allocating spend in their digital campaigns,” Alon Leibovich, co-founder & CEO of BrandTotal, said.
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
