The electric vehicle market may be saturated with entries from veteran and new carmakers today, but Tesla’s grip on the United States’ EV sector remains firm.
Tesla did not create the first modern electric car — that honor goes to General Motors and its short-lived EV1. However, It was Tesla that truly put all its cards on EVs and pioneered the modern electric vehicle movement with the original Roadster and the Model S sedan.
Since then, the market share of EVs in the United States has grown. Electric vehicle registrations in the United States have doubled over the past year to about 5% of all new vehicles. Consumers now have a healthy number of EV choices across numerous carmakers as well.
Axios predicts that the shift away from gasoline-powered vehicles will take years to play out in the United States. And using monthly vehicle registration data from S&P Global Mobility, it is evident that EV adoption is growing, especially in states like California and some cities in the Northeast, Florida, and Texas.
Based on vehicle registration data, one thing remains evident — Tesla’s dominance of the electric vehicle sector seems secure. The company’s vehicles account for about 61% of all electric cars registered in the United States in April, the last month with available data.
The race is not close, at least for now. Tesla’s closest competition is Ford, which accounted for 8% of the market; Hyundai, which accounted for 6%; and Kia, which also accounted for 6%. Even popular EVs from legacy automakers such as the Ford Mustang Mach- E and F-150 Lightning are yet to make a dent, thanks to limited production.
The Tesla Model Y alone, with its 14,152 orders in April, had four times the orders of the Mustang Mach-E, which had 3,287.
But while Tesla’s dominance seems extremely evident, Tesla is facing some risks. This is because the company is essentially holding off an entire wave of competition with only two vehicles — the Model 3 sedan and the Model Y crossover. Other cars in its lineup such as the Model S and Model X are yet to fully ramp since their refresh in early 2021, and projects such as the Cybertruck, Semi, and Roadster are delayed.
That being said, Tom Libby, an S&P Global Mobility analyst, believes that Tesla has a “halo around the brand that is extraordinary and unique.” Apart from this, competing electric vehicles from rival carmakers are just “not setting the world on fire,” Libby noted.
This could be seen in vehicles like the Hummer EV, which is in limited supply. Volkswagen’s ID.4, a potential rival to the Model Y, has been pretty underwhelming. Potential heavy-hitters like the VW ID. Buzz are yet to arrive on US shores. Rivals from new companies such as Rivian, on the other hand, have run into bottlenecks due to chip shortages and supply chain issues.
Considering the momentum of the EV sector in the United States, consulting firm AlixPartners estimated that the market share of electric vehicles in the country could accelerate to 28% by 2028 and up to 59% by 2035.
Disclaimer: I am long TSLA.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
