Tesla’s potential as a future battery supplier for other automakers is being paved by the ongoing struggles of the company’s rivals today. This idea is becoming more and more feasible as more and more veteran automakers experience battery-related challenges in their respective electric car programs.
Building electric cars is no easy task. As evidenced by the issues plaguing the rollout of the mass-market Volkswagen ID.3, making good electric vehicles is not just a matter of stuffing an electric motor and batteries in an existing platform for an internal combustion car. Making EVs, especially good, high-performing ones like the Tesla Model 3, requires mastery of a different set of skills, such as software management and battery optimizations.
The latter is where a vast divide exists between Tesla and legacy automakers today. Tesla utilizes its own proprietary battery tech for its vehicles. The 2170 cells for its Model 3 sedan are even being produced at Giga Nevada, a massive factory that is poised to become one of the largest in the world by footprint once it’s completed. Veteran automakers, on the other hand, rely on suppliers such as LG Chem to supply their EVs’ batteries.
LG Chem supplies cells to several automakers, including Audi and Jaguar, whose e-tron and I-PACE both utilize the company’s batteries. Rivian, which uses 2170 cells for the R1T pickup and the R1S SUV, source their cells from the South Korean firm as well. More recently, even startup Lucid Motors, which is reportedly on the cusp of releasing its first vehicle, the Air, also announced that it would be sourcing cells from LG Chem. This is great for LG Chem, as it validates the quality and capabilities of its batteries, but it also does not bode well for all the companies looking to acquire adequate battery supply for their electric cars.
As it is, LG Chem appears to be having difficulties meeting the demand for its vehicles already. Shortages of cells from the battery manufacturer have reportedly become the cause for the recent halts in the Audi e-tron and the Jaguar I-PACE’s production. And this is just with premium-priced, mid-volume SUVs. When high-volume vehicles enter the market, such as the Volkswagen ID.3 (which also gets some of its cells from LG Chem), the South Korean firm will likely find it even more challenging to supply batteries to all its clients.
This supply issue could become a serious challenge to the electric car revolution. With this in mind, and with even more electric cars coming in the next few years, a need for another battery supplier emerges. This is where Tesla comes in. Tesla has been expanding its business to not just focus on building electric cars, as evidenced by the company’s energy and battery storage initiatives. Considering Tesla’s experience in building EVs, as well as the industry-leading quality of its batteries, the company may very well be poised to become one of the leading suppliers of cells for other electric car makers.
Interestingly enough, CEO Elon Musk has mentioned the possibility of Tesla serving as a supplier of batteries and powertrains to other automakers in the past. This was explained by Musk himself during the Q3 2019 earnings call. “It would be consistent with the mission of Tesla to help other car companies with electric vehicles on the battery and powertrain front, possibly on other fronts. So it’s something we’re open to. We’re definitely open to supplying batteries and powertrains and perhaps other things to other car companies,” he said.
Fiat-Chrysler CEO Steve Manley also suggested the idea during a Q&A session. Speaking about the company’s electric vehicle strategy, Manley mentioned that Fiat-Chrysler would likely be purchasing key electric car components from the Silicon Valley-based company. “It would be wrong of me to say no,” Manley said, adding that batteries and drivetrains will likely be among the parts that FCA will be purchasing from Tesla. The CEO also expressed the possibility of FCA acquiring a “skateboard” platform from Tesla, which it would use for its own vehicles.
Tesla is at a point where its lead in the electric car space is undeniable. The company is also at a point where its manufacturing systems are more refined than before. Tesla may thus be reaching a stage where it is large and robust enough to support other automakers that are also adopting electric cars. As veteran carmakers transition into EVs, those who can secure battery supply from Tesla will likely be the ones that will survive what could very well be a painful and costly move towards sustainability.
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
