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Tesla’s disruption is making Germany’s elite automakers very tense about the future
There was once a time when Germany’s largest automakers looked on with amusement as Tesla, a small Silicon Valley electric car maker, purchased a gigantic car factory in Fremont, CA to produce its first ground-up premium sedan. Today, amidst the Model 3’s disruption and the impending arrival of the Model Y, it appears that no one in Das Auto is laughing anymore.
Electrification is something that used to be scoffed at, especially among the industry’s serious players. When Tesla was starting out, the transportation sector was still fully committed to the internal combustion engine. And in this era, Germany’s elite three — Daimler, Volkswagen, and BMW — reigned supreme. Their vehicles were sought after, and they were known for their power and pedigree. That was, at least, until upstart companies such as Tesla entered the picture.
Tesla represented everything that legacy auto was not. Instead of relying fully on a vast dealer network, Tesla sold its cars on its own. Instead of relying on a network of suppliers, Tesla adopted a vertically-integrated model. Instead of spamming its cars with all the plush amenities found in traditional luxury cars, Tesla’s EVs were spartan and minimalistic. These little differences, coupled with the fact that its vehicles are unlike any other on the road in terms of performance and tech, made the electric car maker a brand to watch among consumers looking to purchase a vehicle.
What really makes Tesla a pretty concerning opponent is the company’s dedication to its mission — to accelerate the advent of sustainability. This means that the company is about so much more than just profits. It’s a company that is legitimately trying its best to change the world, and it is beckoning everyone for support. And support it has gained. Among automakers, Tesla currently stands supreme according to social media presence. Today, the Model 3 is outselling mainstays like the BMW M3, and the arrival of the Model Y could end up disrupting a market previously held by cars like the Porsche Macan.
Today, Tesla stands as a leader in the EV market, with vehicles that have advanced driver-assist features such as Autopilot, a Full Self-Driving suite that includes capabilities like Smart Summon, and a system that constantly improves through free over-the-air updates. With these, Tesla’s electric cars such as the Model S and Model 3 have dominated their respective EV segments.
So how did Tesla end up disrupting the market even if Das Auto had all the resources all along to beat Tesla at its own game years ago? Perhaps it’s hubris, or maybe it was simply an honest mistake. Nevertheless, Tesla has now reached a point where it would be very difficult to reach and overtake, especially when it comes to the tech and batteries of its vehicles. This was highlighted when Volkswagen reportedly got its hands on a Mid Range Tesla Model 3. After tearing down the vehicle, the veteran automaker was reportedly shocked at how advanced the vehicle was.
Sajjad Khan, a Pakistani-born Daimler executive who is a member of the divisional board for CASE (Connected, Autonomous, Shared, Electric) at Mercedes-Benz, believes that this does not need to be the case. In a recent town hall meeting, Khan told an audience that the time is nigh for Germany’s auto sector to get a wake-up call.
“We need a wake-up call. We have to change fundamentally — as individuals, as departments, as a company, as a country. If we don’t, we’re going to be facing tough times ahead. We need to rebuild the mentality that made the economic miracle (in postwar Germany) possible. And we can’t wait until we have fallen on our faces to do this,” he said.
Fortunately, it may be too premature to dismiss Germany’s veteran automakers and their EV efforts. Porsche proved to the world that it can match and perhaps even exceed the performance of Tesla’s flagship sedan with the Taycan, though it had to make do with significantly less range and a far higher price. Volkswagen, for its part, is spending large amounts in its efforts to produce electric vehicles. The company is looking to conduct its ramp quickly, to the point where it would no longer sell diesel and gasoline cars by 2040.
That’s what one could call the end of an era.
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
