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Porsche exec credits Tesla for proving EV demand, reveals Taycan reservation details
Porsche Cars North America president and CEO Klaus Zellmer recently shared his insights about what he perceives to be the upcoming widespread adoption of electric cars. In an op-ed published on USA Today, Zellmer argued that the demand for electric vehicles is definite at this point, and it will only be a matter of time before the United States’ roads are filled with EVs.
While the Porsche CEO continues to prepare for the arrival of the Taycan, he nonetheless gave credit to Tesla for making “inroads” in the push for battery-electric vehicles. Zellmer argued that Tesla has all but proven that there is “significant demand” for electric cars, particularly those which combine sustainability with performance and design.
“Last year, the Model 3 outsold any other premium sedan in the US. We know that American consumers embrace new technology, especially if it delivers a new experience. And once a technology catches on, consumers respond well to expanded choice as competitors enter the field. Just look at how many models of SUV you can buy today, or the proliferation of smartphones since Apple introduced the iPhone in 2007,” he wrote.
Apart from the demand for electric vehicles being all but certain, the Porsche CEO added that the expansion of EV charging infrastructure is starting to hit its stride, as shown by the efforts of companies like Electrify America, ChargePoint, and EVgo. Zellmer also argued that electric cars are cleaner than they have ever been, thanks to a grid that is steadily becoming greener.
Nevertheless, perhaps the most notable sign for the Porsche CEO was the demand the German carmaker is seeing for its first modern all-electric vehicle, the Taycan. According to Zellmer, there is enough interest in the Taycan to fully account for Porsche’s production of the vehicle through late 2020.
“We already have enough interest to account for all the Taycans we expect to deliver in the US in the first year, through late 2020. That’s powerful, given that the final production model has yet to be unveiled. And the market potential is so strong that we just announced we will switch our best-selling model, the Macan compact SUV, to all-electric in the next few years,” he wrote.
A particularly interesting tidbit given by Zellner in his op-ed involves some details about the demographic that the Taycan has been attracting. The CEO mentioned that fewer than half of the Taycan’s reservation holders are current Porsche owners, but from those who are, the biggest single group own a Porsche 911, the company’s flagship vehicle.
“The fact that someone can love the sound and feel of an exhilarating flat-six gas engine and also be attracted to the silent power of a performance EV says volumes about the capacity of the US market for this new power train,” Zellmer stated.
Porsche is currently preparing for the launch of the Taycan, which is expected to be held this coming September. The final details of the vehicle are yet to be released by the company, though reports have emerged stating that the car will come in three variants: a base rear-wheel-drive Taycan that’s equipped with an 80 kWh battery pack, a mid-range Taycan 4S that’s fitted with a 96 kWh battery, and a top-of-the-line Taycan Turbo, which will also feature a 96 kWh battery. Recent reports have also hinted at possible upcoming variants for the vehicle, such as the Taycan Turbo S and a lighter, RWD Taycan GTS that will likely be optimized for track driving.
The full text of Porsche Cars North America CEO and president Klaus Zellmer insights on electric car adoption, Tesla, and the Taycan could be accessed 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
