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Tesla and the EV sector’s growth is driving up lithium, cobalt, and nickel prices
The electric vehicle revolution is fully underway. Led by successful vehicles like the Tesla Model 3, which are compelling alternatives to comparable internal combustion cars, EV sales are taking off. The momentum of EVs as a whole may hit some challenges soon, however, partly due to the rising prices of raw materials that are critical to the production of batteries.
The prices of lithium-ion batteries have seen a 90% decline to just about $130 per kWh. That’s very close to the widely targeted $100 per kWh level, which is estimated to be the point where EVs could become fully competitive with ICE cars in terms of cost. Expectations were high that the battery industry would hit $100 per kWh in 2024, but recent trends in the market suggest that this may not necessarily be the case.
Increasing EV Demand
Benchmark Mineral Intelligence, a company that tracks the worldwide battery supply chain, noted that lower costs helped boost EV sales by 112% in 2021 to over 6.3 million units globally from the previous year. And sales are only poised to increase. EV leader Tesla, which sold nearly a million pure electric cars on its own in 2021, is looking to grow its deliveries by 50% this year — and estimates among TSLA bulls suggest that the company’s growth might be even more impressive.
Benchmark Mineral Intelligence notes that battery-grade cobalt prices are up 119% from January 1, 2020 through mid-January 2022. Nickel sulfate prices saw a 55% rise in price, and lithium carbonate saw a whopping 569% increase. Benchmark Mineral Intelligence chief data officer Caspar Rawles, in a statement to The Wall Street Journal, noted that some battery cell makers that typically offered long-term fixed-price contracts have ended up shifting to a variable price model instead. This allowed them to pass on some of the costs of rising material prices to consumers.
What is quite unfortunate is that battery materials may remain in short supply for some time. China, which dominates the battery supply chain, is also aggressively increasing its electric vehicle production. And considering that it generally takes about seven to ten years to deploy a new mine, a lot of key battery components may end up being supply-constrained in the coming years.
Addressing A Supply Shortage
The rising prices of battery raw materials do not mean that the EV revolution would likely be slowed down, however. The battery recycling industry is now gaining some momentum, with companies like Redwood Materials — which is led by Tesla co-founder and former CTO JB Straubel — already preparing to sell recycled battery components to Panasonic for the production of battery cells at Tesla’s Gigafactory Nevada later this year. This helps foster a closed-loop system since Redwood also receives Panasonic’s battery scrap from Tesla’s Nevada facility.
Other initiatives that may help the auto sector weather the rising costs of battery materials involve a focus on batteries that use less expensive, more abundant components. Tesla China is among the companies that are at the forefront of this movement, with Giga Shanghai utilizing lithium iron phosphate (LFP) batteries for the Model 3 and Model Y. LFP batteries utilize iron in their cathodes instead of nickel and cobalt, making them less controversial and far more affordable.
And while LFP batteries typically result in vehicles with shorter range than cars equipped with nickel-based cells, tests from veteran electric vehicle owners in countries such as Norway are starting to reveal that iron-based cells are nothing to scoff at. Longtime EV advocate Bjorn Nyland, for example, recently conducted one of his 1,000-km tests in a base Model 3 equipped with an LFP battery that was produced in Gigafactory Shanghai. The vehicle performed amazingly despite the cold conditions and its relatively small 60 kWh battery pack.
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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
