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Daimler CEO steps down weeks after unveiling Mercedes-Benz’s first Tesla Model X competitor
Just weeks after taking the wraps off the Mercedes-Benz EQC, the German automaker’s first all-electric vehicle that’s expected to compete in the same segment as the Tesla Model X, Daimler has confirmed that CEO Dieter Zetsche would be stepping down from his post. Zetsche, who has been with Daimler for 42 years, will return to the company and chair the supervisory board in 2021.
The Daimler CEO will be succeeded by Ola Källenius, a 49-year-old Swede who also has a long tenure in the legacy automaker. Prior to becoming CEO, Källenius served as the company’s head of R&D. He is expected to take over as CEO and head of Mercedes-Benz this May 2019, provided that his appointment is approved by shareholders. Zetsche, for his part, was originally signed on until December 2019, but he has opted to depart earlier amidst the company’s preparations for “fundamental changes taking place in the automotive industry.”
Daimler’s appointment of Källenius is considered as part of the company’s push to appoint a younger set of leaders that can effectively carry the company forward in a changing automotive landscape. Among these changes is the emerging wave of electrification, which is pushed by upstart electric car companies like Tesla and embraced by veteran carmakers like Porsche, which recently announced the cancellation of its diesel-powered line.
In this light, selecting Ola Källenius to succeed Dieter Zetsche seems to be the right direction for Daimler. Källenius, after all, is noted for being one of the company’s executives who pushed for the development of 10 electric vehicles that are planned for release. The Mercedes-Benz EQC, unveiled earlier this month, is the first of these vehicles.
The younger executive’s background is unlike Daimler’s other CEOs,’ considering that Källenius’ experience is not on engineering, but on finance. His experience is vast nonetheless, with stints in both McLaren Automotive and AMG, Mercedes-Benz’s performance-oriented sub-brand that grew and evolved under Dieter Zetsche’s leadership.
Daimler’s first foray into electric vehicles, the Mercedes-Benz EQC, is a premium SUV that would compete directly with vehicles like the Tesla Model X. In the EQC’s unveiling, Daimler CEO Dieter Zetsche announced that the vehicle kicks off the company’s $12 billion push towards the development of electric vehicles under the EQ brand. Zetsche also noted that Daimler would be investing another $1.2 billion in global battery production to support the growth of the company’s electrified offerings.
The Mercedes-Benz EQC features several compelling features that make it a contender in the premium electric SUV segment. It is equipped with dual electric drivetrains at each axle, which generate a combined 402 hp and 562 lb-ft of torque. Thanks to its electric motors, the EQC can sprint from 0-60 mph in 4.9 seconds and hit a top speed of 112 mph. The SUV is also equipped with an 80 kWh battery, which is expected to give the vehicle a range of over 200 miles per charge.
That said, Mercedes-Benz noted in a later update that it would adopt a gradual rollout for the EQC, to ensure that warranty costs for the vehicle don’t spike when customers start taking deliveries. Mercedes-Benz head of production and supply chain management Markus Schaefer described the company’s rationale in a statement.
“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,” he said.
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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
