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Tesla Model 3 tops Cars.com’s ‘American Made’ Index, first time an EV conquers the list
The Tesla Model 3 has captured Cars.com’s “American-Made” Index, a monumental achievement for the automaker’s mass-market sedan. Not only is the recognition a huge feather in the cap for Tesla, but also for the electric vehicle movement as it is the first time an EV has topped the list.
Since 2005, Cars.com has compiled a list qualifying all vehicles built and bought in the U.S. This year’s study ranked 90 vehicles through five categories of major criteria: assembly location, parts content, engine origins, transmission origins, and U.S. manufacturing workforce. For the first time in the 16-year history of the Index, Tesla has topped the list, also becoming the first all-electric car to capture the top spot from vehicles like the Ford Mustang, Chevrolet Corvette, and Jeep Cherokee, three long-standing vehicles that have been included in the Index’s past rankings.
The Model 3 topped the 2021 list after coming in fourth just a year ago, being recognized as the most “American-Made” vehicle for the first time in its nearly four-year stay in the U.S. automotive market. First being delivered in mid-2017, the Model 3 was Tesla’s first mass-market sedan and was arguably the catalyst to the American EV sector. After the Model 3 was released by Tesla, it proved that EVs could be affordable, and they could begin displacing the overwhelming majority of gas-powered engines that dominated U.S. roads. Since then, the Model 3 has made a tremendous dent in the ICE market, especially in the sedan body style. The Model 3 was the 16th best-selling car in the world, according to a May 2021 report from Forbes.
The key to Tesla’s overwhelmingly domestic production process of its vehicles starts with the company’s focus on vertical integration. Tesla CEO Elon Musk has commented on the company’s focus on this in the past, highlighting the automaker’s general strategy of creating its own machinery to design things. To Musk, this could be one of the company’s biggest advantages over competitors due to Tesla’s ability to not depend on manufacturers to provide parts. Instead, Tesla can basically build a car from the ground up using what it has in-house, to an extent. Of course, the company still utilizes suppliers for things like tires and glass, but the bulk of the car is produced by Tesla.
Elon Musk gives a rare look into the Model 3 production line. [Credit: CBS This Morning/YouTube]
“Tesla is absolutely vertically integrated compared to other auto companies or basically most any company,” Musk said during the Q3 2020 Earnings Call. “We have a massive amount of internal manufacturing technology that we built ourselves. We literally make the machine. In fact, we design it — so like, OK, what are the things we want to make, design a machine that will make that thing, then we make the machine. This is what — this makes it quite difficult to copy Tesla, which we’re not actually all that opposed to people copying us, but it’s quite difficult because you can’t do catalog engineering. You can’t just pick up the supplier catalog, I’ll get one of those machines, one of that machine; bingo, I’m now Tesla. You have to — there is no catalog,” he continued.
This has also led to its understanding of its product to depths that many other automotive manufacturers simply cannot match. Tesla’s in-house Insurance program also receives dividends from the company’s vertical integration because the cars are made up of so many company-produced parts. This allows for a greater understanding of the product.
Amazingly, the Model 3 was not the only Tesla vehicle on the list, and in fact, it wasn’t the only Tesla in the top 3. The Model Y made its debut on the list, coming in at #3. This is not much of a surprise as the Model 3 and Model Y share a very similar design, and some have indicated that the two vehicles share 75% of the same parts. This makes the Model Y a no-brainer for this list, only being bested by the Model 3 and the Ford Mustang.
The full “American-Made” Index from Cars.com can be viewed 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
