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Porsche Taycan finds warm welcome among veteran Tesla owners–this is a good thing
The Porsche Taycan may be seeing some delays in its production schedule, but the all-electric vehicle from Stuttgart’s premier sports car maker continues to attract a lot of interest nonetheless. And if a recent statement from Klaus Zellmer, president and CEO of Porsche Cars North America, is any indication, it appears that the Taycan is starting to attract veteran EV adopters, particularly those who are existing Tesla owners.
In a statement to CNBC during the LA Auto Show, Zellmer stated that out of “thousands” of potential US customers who have shown a “sincere interest” in the Taycan, Tesla owners are among the largest groups among non-Porsche owners. The Porsche North America CEO stated that this was a surprise, but it is a very pleasant one considering the loyalty of Tesla’s customer base.
“They currently drive a Tesla, they’re open to experiencing something new now. We’re very happy about that. We were actually surprised right from the get-go to see Tesla be so much in the foreground as a potential source of business,” Zellmer said.
This statement has been interpreted by Tesla critics as a sign that the Taycan is starting to eat into the Silicon Valley-based electric car maker’s customer base. While this may be the case in some cases, there is a good chance that there is a completely different reason behind Tesla owners’ interest in the Taycan. A lot of it has to do with the price of the Taycan itself, as well as its target demographic.
It should be noted that before the Model 3, Tesla exclusively produced premium electric cars that competed in the luxury market. This means that before the Model 3, Tesla’s customers were comprised mostly of upper-tier households that can afford the premium price commanded by the flagship Model S sedan and Model X SUV. This particular demographic also tends to be fully capable of keeping two or more vehicles in their garages.
Considering that the most affordable Taycan, the Taycan 4S, is more expensive than the top-tier Model S Performance, there is a good chance that Porsche’s all-electric sports car is attracting the interest of customers who can afford a thoroughbred sports EV and a Tesla if needed. This is especially true considering that Tesla is focusing most of its efforts in the Model 3, a vehicle that is roughly half the price of the cheapest Taycan, and about a third of the price of the mid-tier Taycan Turbo.
In conclusion, the interest in the Taycan coming from existing Tesla owners bodes well for the electric car movement as a whole. In Porsche’s part, this means that its first foray into the modern all-electric car is seeing interest from some of the most experienced EV owners in the market. This also bodes well for Tesla, as it shows that the company has conditioned its customers to explore other options, but only those that are also all-electric. This is very encouraging, as Tesla is now attempting to disrupt the mid-tier market with the Model 3, a vehicle that is accessible to far more customers than the Model S and X.
As for the bearish thesis that the Porsche Taycan is “stealing” sales from Tesla, this might not hold water at all. Experienced EV buyers, especially those that have owned Teslas in the past, are aware that the Taycan is priced above the Model S despite having far less range and less driver-assist systems like Autopilot. Thus, these customers are likely not “leaving” Tesla because Porsche’s EV is “far superior.” Instead, they are likely purchasing the Taycan for what it truly excels at: a driving experience that echoes the best that Porsche can offer.
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
