A look at recent announcements from legacy automakers would give the idea that the electric car revolution is at hand. GM recently announced a massive $20 billion push for electrification. Volkswagen’s CEO is quite literally putting his career on the line to make a mass-market electric car, and Porsche has given one of its most historic sites an “open-heart surgery” just to make an all-electric sports car. Across the board, the “Tesla Effect” seems alive and well, with automaker after automaker announcing their support for electric vehicles.
Yet for all these statements and promises, the EV revolution, at least in the US, does not seem to be going as fast as it could be. In fact, it appears that for many US auto dealerships, it would be better if the transition to electric vehicles happens far into the future, or better yet, never. This was according to a brief trip by Chevy Bolt owner and CNET founding member Brooke Crothers, who recently got a sobering look at the sheer apathy among US auto dealerships when it comes to EVs.
Amidst legacy auto’s accelerating electric car programs, Crothers opted to visit one of the largest auto malls in the United States, located at Cerritos, CA. The Golden State is considered the center of America’s electric car movement, being the home of Tesla and one of the country’s strictest emissions programs. Thus, it would only make sense if the electric car revolution is evident in the state’s car dealers. Unfortunately for the tech veteran, he soon learned that this was not the case.
Crothers visited numerous automakers, starting with GM, which currently sells the Bolt EV, an electric car that is pretty comparable to the Model 3 Standard Range Plus in terms of range. The GM dealership did not have a single Bolt available on the lot. Instead, the only thing that potential car buyers could find are gas guzzlers like Silverado trucks, cars like the Corvette and Camaro, and large SUVs like the Suburban. This is quite disappointing considering that GM actually has a history of being a first mover in sustainable transport, with cars like the EV1 and the Volt under its belt.
Volkswagen’s dealer was no better. The German automaker is in the middle of a massive electric car program, one that CEO Herbert Diess considers as his personal project. Crothers stated that the VW dealer he visited only had the e-Golf available, which is an electric car from the bygone era of compliance vehicles. It remains to be seen if the company’s EV initiative in Germany will spill over to the US, but for now, Volkswagen’s electric car program in the United States seems substandard at best.
Acura seems to be among the worst, with a salesperson telling Crothers that there is no future in electric vehicles. Gas will rule, the automaker’s representative said, and the only viable way for sustainable transport are fuel cell hybrids. The dealership also stated that they only sold “a couple” of hybrid MDX vehicles in the past 12 months. “There’s no demand,” an Acura salesperson said.
Some legacy automakers did show some degree of the “Tesla Effect,” with Nissan, Honda, Hyundai, and Audi having some electric vehicles in their lot. Nissan actually had a Leaf available, and Honda had several Clarity models in its showroom window. Hyundai was even better with staff being ready to answer questions about the Kona EV and the Ioniq (though both vehicles were in the dealer’s back lot). The same was true for Audi, whose staff seemed knowledgable and enthusiastic about the e-tron.
The “Tesla Effect” is a series of initiatives from numerous industries that follow one theme: The end of the oil age and the beginning of the electric era. This effect has taken hold in the auto sector, as young carmaker Tesla ended up disrupting several industries with vehicles like the Model 3. The “Tesla Effect” is only bound to get more prominent too, amidst the company’s focus on residential solar and battery storage, as well as the release of potentially high-margin vehicles like the Model Y and the Cybertruck.
Across the auto industry, the “Tesla Effect” could be seen, with practically every automaker in the industry seemingly going all-in on their respective electric car programs. All-electric newcomers with a lot of potential are poised to enter the market as well, led by independent companies like Rivian and Bollinger, and sub-brands such as Polestar. Overall, legacy automakers seem ready to embrace electrification. They just need to persuade their dealers to put effort into selling their EVs.
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
