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Tesla is going mainstream with every milestone: US car buyers just need to know about it
Just recently, Tesla’s Model S, Model 3, and Model X made a big splash at cars.com’s 2020 American-made Index, an annual survey that ranks vehicles which “contribute most to the US economy” through factory jobs, manufacturing plants, and parts sourcing. Tesla’s Model S3X line took numbers 3, 4, and 9 in the Top 10 list, which is impressive on its own right. However, these results could have easily been better, if more respondents to cars.com’s study had been more aware about Tesla, its products, and its operations.
A look at the results of cars.com’s Top 10 American-made Index list shows that there is still an information divide between Tesla’s electric vehicles and mainstream car buyers. Topping the Top 10 rankings of the survey are the Ford Ranger and the Jeep Cherokee, which are iconic for being American cars but are hardly more US-based than Tesla’s trifecta of electric vehicles. In fact, a case could even be made that the Model S, Model 3, and Model X are more American than the Ranger and Cherokee, considering that Tesla’s vehicles are made in the US using American labor and (for the most part) components.
This year marks the first time that Tesla supplied cars.com with the information necessary to qualify for the annual survey. According to Kelsey Mays, cars.com’s senior consumer affairs and vehicle evaluations editor, the location where a vehicle is made is becoming increasingly important these days, especially in the light of the ongoing pandemic.
“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. 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,” Mays said.
This is where the information gap between Tesla and mainstream American car buyers still exists. According to cars.com, only about 10% of American car buyers recognized Tesla as “California-made” in 2019, and this year, the number has increased to 18%. The motoring firm added that only half of the survey’s total respondents were aware that Tesla was an American company, and only a third of those who participated knew that the Model S was built in the United States. These show that for a significant number of mainstream car buyers, Tesla’s vehicles are still an unfamiliar concept, and one that is not associated with the US the same way as Ford’s pickups and Jeep’s off-roaders.
While it is impressive that the number of American buyers recognizing Tesla as a US-focused company is growing over the past years as per cars.com’s survey results, it appears that Tesla could still do so much more to emphasize the fact that its vehicles are made in the US. Granted, the company is very firm in its stance against traditional advertising, but there are ways to disseminate information about the company and its products without resorting to conventional marketing tricks.
These could go a long way towards ensuring that more people remain informed about what Tesla really is and what its products can do. After all, Tesla’s electric vehicles still made a strong impact on cars.com’s Top 10 American-made Index, even with a significant number of respondents being uninformed about the company or the nature of its operations.
Fortunately, the company’s next two vehicles would likely raise more awareness about Tesla’s US-based roots. Following the Model Y crossover, Tesla is poised to ramp the production of the Semi, a Class 8 long-hauler, and the Cybertruck, a pickup. Both these vehicles are poised to be operated by drivers who personify the ideals of workers that value utility and practicality. And these, ultimately, could help make Tesla be recognized better as a company that makes American cars by American workers using American resources.
This very point was emphasized by Jay Leno in a previous statement about Tesla and the flak it receives from critics. Speaking with CNBC’s The Exchange, Leno candidly stated that he does not really get where all the criticism of Tesla is coming from, considering the company’s milestones over the years.
“In the mid-teens, there were 350 car companies in the United States. Every year since then, two or three of them dropped out… There’s a whole bunch that just disappeared. So here comes a brand new car company, so that’s impressive. It’s a tough business to get into; and the fact that Tesla is making a go of it and quite successfully, I think is impressive and should be applauded. We’re becoming like the British — we like noble failures. I would watch, listen to these radio talk shows just tear Tesla apart; and I go, ‘Here’s a guy, building an American car in America, using American labor. Why are you not rooting for it to be successful? Why do you wish it would fail?’ I don’t quite understand,” he 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.”
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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
