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Tesla rival Mercedes-Benz EQC to adopt gradual production ramp over possible warranty concerns
Tesla rival Mercedes-Benz has decided to adopt a gradual rollout for the EQC, the company’s first all-electric vehicle that’s designed to compete with premium SUVs like the Model X. Mercedes-Benz head of production and supply chain management Markus Schaefer related the EQC’s production ramp update last week.
Schaefer noted in a statement to Europe Auto News that the German automaker is opting to play it safe with the EQC’s rollout to make sure that warranty costs for the upcoming vehicle don’t spike. The Mercedes-Benz executive added that his main concern lies in monitoring the EQC’s costly, 80-kWh lithium-ion battery pack.
“We want to be sure we deliver Mercedes quality from day one in all aspects, and we have to watch the warranty side for customers as well. We don’t want customers ending up at the mechanic later. Slowing down the ramp-up is a tool to make sure we do it right, to address all the unknowns that an electric car brings,” Schaefer said.
So far, there have been no problems emerging from the EQC’s battery pack plant in Kamenz, Germany, with all component manufacturers being carefully vetted by the company. That being said, Mercedes-Benz acknowledges that building a new type of vehicle at scale could become more challenging than expected, considering the new technology involved and a series of new suppliers. Thus, for Schaefer, it would be best to prepare for any possible problems with the EQC’s battery.
“This is the heart of the electric vehicle, which is very much in charge of safety and performance of the vehicle as well as long life and costs. There are hundreds of components that have to come together from various new suppliers, Tier 2 and Tier 3, which are in the background, and we have to see their performance,” he said.
While the Mercedes-Benz EQC would see a gradual rollout when it starts production, Schaefer maintains that he is nonetheless optimistic about the company’s capability to quickly ramp the vehicle. The company plans to manufacture the EQC at its factories in Bremen, Germany, and Beijing, China, on the same line as the company’s fossil fuel-powered vehicles like the Mercedes-Benz GLC.
“I’m not worried about the production plants in Bremen and Beijing. I know their capability, and they have proven they can ramp up in lightning speed,” Schaefer said.
The Mercedes-Benz EQC is expected to be among the vehicles that would compete with Tesla in the premium EV market. The SUV was unveiled last week, and during the event, Daimler AG Chief Executive Officer Dieter Zetsche stated that the legacy carmaker would be “going all-in” on the emerging electric car transition. Zetsche also noted that its first all-electric car, the EQC, would “offer the best package” compared to rivals.
The Mercedes-Benz EQC is equipped with two electric motors that produce 402 hp and 564 lb-ft of torque, which allows the EQC to accelerate from a dead stop to 60 mph in 4.9 seconds. The EQC also has a top speed of 112 mph. Mercedes-Benz courted some confusion when it unveiled the EQC, as some of the company’s press materials listed the vehicle’s range from its 80-kWh battery as ~200 miles per charge, but in a later statement to The Verge, Mercedes-Benz has clarified that the vehicle actually has a range of 279 miles per charge.
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
