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Tesla can fall short of its battery goals and still dominate rivals, says expert
In a recent interview with a German auto publication, battery expert Maximilian Fichtner remarked that Tesla could move far beyond the reach of its competitors, even if it fails to achieve all of the goals that were presented during Battery Day. This, according to Fichtner, is partly due to competitors not doing enough to further electric vehicle technologies.
In an interview with Spiegel Mobility, Fichtner, a director at the Helmholtz Institute and a professor for solid-state chemistry at Ulm University, remarked that German automakers are simply doing something much different compared to Tesla. While Tesla considers batteries as part of its core business, German automakers seemed to be content outsourcing all the battery work to third-party suppliers and focusing their efforts on competencies that they know best, such as body design.
“You outsource more things to suppliers. They only develop core components such as the engine themselves. Battery production is not considered a core business. One tries at some point to use proven methods to build an electric car that is equivalent to Tesla, only with better body gaps. Tesla, on the other hand, achieves a lead through technology by processing the entire production chain, from the integration of its own hardware and software to batteries and the finished car,” the expert noted.
When asked about improvements that Tesla could achieve with its next-generation cells, Fichtner stated that the company’s larger 4680 cells open the door to longer range and other upgrades. Such innovation, according to the expert, is a “quantum leap.” Fichtner added that with Tesla’s goal of reducing its battery production costs by 56%, the EV market could reach or even exceed price parity with the internal combustion engine, effectively rendering gas cars obsolete.
“(They) would be at costs of 70 to 80 US dollars per kilowatt-hour. There would be no more reason to buy a combustion engine – not even the price. That would be around 20,000 euros for a mid-range to upper-class vehicle,” he said, adding that “The cost reduction in two to three years would be extremely quick. When it comes to cell design, however, Tesla has calculated everything well and the better integration of the battery into the vehicle has been well thought out.”
Granted, Tesla’s goals for its next-generation batteries are very ambitious. Yet according to Fichtner, even if Tesla fails to achieve all of the goals it outlined in Battery Day over its self-imposed timeframe, the company would still be far ahead of the rest of the auto market. The battery expert noted that this is especially true for German automakers, some of which are still adopting strategies that were effective for the internal combustion engine.
“Even if Tesla only manages half of the expected increases in the difficult changes to the anode and a few percentage points less in the cell design, 40 percent more range remains. That would be around 700 instead of 500 kilometers on one charge. That’s a lot, based on almost conventional battery chemistry. Elon Musk has worked everywhere, from processing the raw materials to the finished car, to make his cars better and cheaper. Tesla apparently managed to turn both screws in the right direction. Even if the company only achieves a fraction of the growth announced, that is still far above what the competition in this country is planning,” Fichtner remarked.
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
