News
Tesla Model S, 3, X among ‘Top 10 American-Made’ vehicles in Cars.com list
Tesla’s Model S, Model 3, and Model X broke into Cars.com’s “Top 10 American-Made Index” list, taking three out of ten places in the motoring resource’s rankings. This was quite a debut for Tesla, as this year marks the first year that the Silicon Valley-based automaker made its first appearance in Cars.com’s rankings.
The annual survey ranks new vehicles that “contribute most to the U.S. economy” through U.S.-based factory jobs, manufacturing plants, and parts sourcing. Frequently, American automakers like Ford and Chevrolet dominate the list due to their mass-market pickups. Other popular manufacturers, like Honda, for example, have become listed more frequently in the last few years of the rankings.
Tesla, with its growing popularity and expanding fleet of mass-market vehicles, cracked the Top 10 for the first time. However, it was not just the ultra-popular Model 3 that appeared. The flagship Tesla Model S and Model X made the list as well, tying Honda for the most number of vehicles in the 2020 Top 10 rankings, USA Today reports.

The Tesla Model S, Model 3, and Model X finished third, fourth, and ninth, respectively, in the rankings. The Ford Ranger, a product of Wayne, Michigan, and the Jeep Cherokee, made in Belvidere, Illinois, edged out Tesla’s flagship sedan, which is built in Fremont, California.
According to Cars.com’s senior consumer affairs and vehicle evaluations editor Kelsey Mays, Tesla made the list this year because it was the first time the automaker supplied the appropriate information to qualify its vehicles for the rankings.
Mays added, “Tesla is the only automaker on the list to built 100% of the cars in America that it sells here.”
Cars.com told Teslarati that Tesla’s identification with Americans has grown considerably since last year. According to a survey that the automotive resource conducted, only 10% of American car buyers recognized Tesla as a “California-made” vehicle in 2019. About 18% of respondents now identify Tesla as a California-based company. However, only half of the survey’s total respondents knew that Tesla was American, and only a third of those who participated thought the Model S was built within the United States.

Mays indicated that where a car is produced is becoming a more important factor to consumers, and Cars.com created the list to highlight what vehicles are manufactured within the United States. The impact of COVID-19 on the American economy has contributed to that, and American car buyers are more focused on buying locally to support the automotive sector, which employs 9.9 million people, according to AutoAlliance.org.
“We live in a global economy, but Cars.com’s research found 70% of American shoppers consider a car’s U.S. economic impact a significant or deciding factor in their vehicle purchase,” Mays said. “The COVID-19 pandemic is increasing Americans’ desire to buy local, with 37% reporting they are more likely to buy an American-made vehicle in light of the economic disruption of COVID-19.”
Tesla’s Fremont facility employs 12,000 people, providing a sizable number of manufacturing jobs for Northern Californians. It is currently the only facility in the U.S. where Tesla builds its vehicles, but the company is looking to open a second facility in the Central United States soon.
Tesla had already reopened its Giga Shanghai production facility in mid-February by implementing a series of new health codes that would preserve the safety of its workforce. The same strategies are being used in Fremont, where Tesla is focusing on ramping up the production rates of its Model 3 and Model Y while maintaining steady build rates for the Model S and Model X.
Cars.com’s Top 10 American-Made Index list is below.
Cars.com 2020 American-Made Index top 10
- Ford Ranger (Wayne, Michigan)
- Jeep Cherokee (Belvidere, Illinois)
- Tesla Model S (Fremont, California)
- Tesla Model 3 (Fremont, California)
- Honda Odyssey (Lincoln, Alabama)
- Honda Ridgeline (Lincoln, Alabama)
- Honda Passport (Lincoln, Alabama)
- Chevrolet Corvette (Bowling Green, Kentucky)
- Tesla Model X (Fremont, California)
- Chevrolet Colorado (Wentzville, Missouri)
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.