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Lithium produced for Tesla’s batteries is less polluting than 31 cups of coffee: researcher
There are many criticisms of electric vehicles like Teslas, and one of them involves the notion that EVs require massive amounts of water to produce the lithium in their batteries. This idea, according to Dr. Maximilian Fichtner, who serves as the Director at the Helmholtz Institute for Electrochemical Energy Storage in Germany, is not accurate at all.
In a recent conversation with Tagesspiegel Background, the battery researcher stated that the production of electric car batteries is not as extreme as what EV critics would suggest. To produce the lithium needed for a 64 kWh battery pack, for example, Fichtner stated that about 3840 liters of water are evaporated according to usual calculation methods. This is roughly comparable to the production of 250 grams of beef, 30 cups of coffee, or half a pair of jeans, according to the researcher.
Explaining further, Fichtner stated that even before electric cars like Teslas became popular, lithium was already being used in large quantities in many industrial and chemical processes. Lithium-ion batteries are also widely used in mobile devices, which are universally accepted today. “I’m always surprised that the public never talks about lithium in laptops or mobile phones – but suddenly it’s a problem with the e-car,” the battery researcher said.
But the water consumption involved in the production of lithium for electric car batteries is just the tip of the iceberg. Fichtner estimates that a 64 kWh pack is likely in the middle of various variants of the Tesla Model 3 sedan, whose long-range versions can easily go beyond 450 km (280 miles) of range per charge. If one were to infer that an electric car battery pack can remain optimal with 2,000 full charging cycles, this could equate to a total distance of about 900,000 km. And that’s with estimates on existing battery technology.
With this in mind, it appears that Tesla’s lithium-ion batteries are actually less polluting than otherwise everyday items such as steak or the aforementioned 30 cups of coffee, since they have the potential to remain in service for a very long time. About 2,000 charging cycles, after all, would likely equate to years of average EV use.
Companies like Tesla are hard at work in improving their battery cells. This much is hinted at by Tesla executives such as CEO Elon Musk and President of Automotive Jerome Guillen, both of whom have noted that Tesla’s batteries are always evolving. Fichtner expects electric car batteries to have an average lifespan of 3,000 cycles by 2025, which would make EV batteries even more environmentally-friendly.
In his recent conversation with the publication, the researcher discussed one of the most sensitive topics surrounding battery production: cobalt. Cobalt has developed a very negative reputation due to the abhorrent conditions in cobalt mines in areas such as Congo. Fortunately, many automakers have since pledged to source the cobalt used in their EVs from areas that meet stringent standards. Tesla does this and more, with the electric car maker attempting to develop cobalt-free batteries in the near future.
For now, electric car makers are in a game of cobalt reduction, and in this sense, Tesla has a notable lead. The batteries used in Volkswagen’s well-received ID.3 hatchback, for example, contain about 12-14% cobalt. The Tesla Model 3, on the other hand, only contains about 2.9% cobalt as of 2018. Fichtner predicts that if things go well, cobalt-free batteries could enter the market as early as 2025.
Maximilian Fichtner received his Ph.D. in Chemistry/Surface Science with distinction and the Hermann Billing Award for his thesis in 1992. He currently serves as the professor for Solid State Chemistry at the Ulm University and Executive Director of the Helmholtz Institute Ulm for Electrochemical Energy Storage (HIU). He has also worked in collaboration with the German ministries of Economy and Research and Education, and has served as the Chair of the 1st International Symposium on Magnesium Batteries in 2016.
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
