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Elon Musk to young entrepreneurs: “Do you like minting money? The Lithium business is for you.”
Elon Musk advised young entrepreneurs to get into the Lithium business. During the Q1 2022 live Q&A webcast, Tesla talked about some of the challenges it is still facing, particularly regarding raw materials and logistics.
Musk teased some “exciting announcements” about raw materials later this year. He noted that as Tesla reaches the production level when it makes 10, 15, or 20 million cars per year, it will need to look at the macro tonnage of raw materials it needs. He specifically mentioned the tonnage of Nickel, Graphite, and Lithium Tesla would need to build cars at that level.
He explained that Tesla is thinking of the limiting factors that could affect production in the future and is trying to address them. Currently, Tesla thinks mining and refining Lithium appears to be a limiting factor.
Musk shared that Lithium is responsible for “quite a bit of” cost growth in battery cells, elaborating that it is the “single biggest cost growth” factor for Tesla at the moment. Although, he did clarify that Lithium makes up 2% to 3% of the battery cell or just about 5 kg per car. The cell’s most expensive and heaviest item is the cathode, which is the nickel or iron phosphate part.
“We’re looking carefully at all of the raw materials and trying to figure out how we can accelerate the total amount of raw materials needed to transition the world to sustainability,” Musk said.
Later in the earnings call Musk said: “So, we think we’re going to need to help the industry on this front, but the — I mean, the industry is very fast. And I certainly encourage entrepreneurs out there who are looking for opportunities to get into the lithium business. The lithium margins right now are practically software margins.”
“I mean — correct me if I’m wrong — but I think we’re seeing cases where the spot lithium price is 10 times higher than the cost of extraction. So, like we’re talking 19% margins here. Can more people please get into the lithium business? Do you like minting money? Well, the lithium business is for you,” he advised.
Tesla Price Increases and Raw Material exposure
Tesla CFO Zachary Kirkhorn noted that 10% to 15% of the company’s cost structure is exposed to raw materials.
“We’ve been experiencing increases in costs in general, but also raw materials for a number of quarters now. That pace picked up in Q1, so last quarter. And what we’re seeing for Q2 is slightly higher than that as well,” Kickhorn clarified.
He added that the rising costs do not affect Tesla immediately or directly as the company has prepared somewhat. For example, Tesla has signed several Lithium supply deals with a few different companies, including Core Lithium and Liontown Resources in Australia. Tesla also secured a supply deal with the world’s top Lithium company, China-based Ganfeng Lithium Co Ltd.
Kirkhorn explained that as Tesla’s supply deals expire, there can be a lag as the company renegotiates new contracts. He also shared that some raw material contracts directly reflect raw material prices in some cases.
“And so, to Elon’s point, what we’re trying to do here because it is quite an unprecedented situation of raw material movement and all of these various lags and all this uncertainty around renegotiating contracts is we’re trying to anticipate where things will go and make sure that the pricing that we have in place at the time that the raw material costs increases hit us, that they align, and that the company can remain financially healthy in various scenarios as we look out over the next four quarters,” elaborated Kirkhorn.
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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
