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Tesla’s battery strategy will be key to Cybertruck and Semi’s market disruption
Elon Musk has remarked that Tesla has arguably the most exciting product roadmap of any company today. With vehicles like the Semi and the Cybertruck coming in the pipeline, this statement rings true. But things will not be as easy as simply setting up production lines for the upcoming vehicles. For Tesla to properly ramp the Semi, for example, the company would have to make sure that it can get enough cells for the vehicle first.
Producing electric cars is no easy task, and a lot of the challenges in EV making are connected in one way or another to vehicles’ batteries. This is something that is being learned by veteran carmakers like Jaguar today, as inadequate supply from battery companies like LG Chem has resulted in a halt of production for premium EVs like the I-PACE. Tesla is certainly aware of the battery supply challenges that EV makers face. This is one of the reasons why Gigafactory Nevada was constructed.
Giga Nevada was built to support the company’s Model 3 ramp. Designed to manufacture the 2170 cells of the Model 3 with battery partner Panasonic, the massive facility forms the backbone of Tesla’s first foray into the mass market. But the story lies far beyond the Model 3 today. Tesla has an even higher-volume vehicle coming, the Model Y. The Cybertruck will likely sell in large volumes too, provided that the market embraces it. Just like the all-electric pickup, the Semi might see sufficient demand from the trucking market once it’s released as well, considering the cost benefits that the vehicle offers.
Tesla is in a constant state of change, and this cannot be represented better than the company’s batteries. President of Automotive Jerome Guillen has noted that Tesla’s batteries are never static since they’re always being improved. Today, it is becoming more and more evident that Tesla’s batteries are among the best in the industry, particularly when it comes to energy density. Coupled with its vertically-integrated software, Tesla’s batteries can give vehicles impressive range even if they are not too large.
The Model 3, for example, can squeeze out over 320 miles of range from a 75 kWh battery, and the Model S Long Range Plus can get 390 miles from a 100 kWh pack. This matters a lot, and it shows just how far ahead the company is when it comes to its batteries and their energy density. And this, ultimately, will likely help the company secure enough battery cells to support the ramp of its upcoming EVs, including the Semi and the Cybertruck, both of which are large vehicles that would usually require a massive pack to hit their target range.
Tesla lists the Semi with a range of 300 to 500 miles. The company never announced the size of the Semi’s battery pack, but considering that the vehicle is a Class 8 truck that can accelerate from 0-60 mph in 20 seconds with a full load, speculations for the vehicle’s battery from the EV community included estimates that were as high as 1 MWh. The same concept applies to the Cybertruck. The vehicle is very heavy, and it is expected to have over 500 miles of range. To get this range, a large battery pack would usually be required.
But with Tesla’s constant innovations on its batteries, this does not necessarily have to be the case. Considering that Tesla is closing in on 400 miles per charge on a 100 kWh pack with the Model S, there is a good chance that its next vehicles like the Cybertruck and Semi will be equipped with fewer, but more energy-dense cells than initially expected. Tesla has pretty much developed the skill of drawing out as much range as possible from every cell in an EV, so it’s not too farfetched to infer that the company will be very efficient with the batteries of its upcoming vehicles.
More energy-dense batteries will be key to lowering production costs as well. Tesla may be drastically reducing its battery costs, but the packs themselves still comprise a huge portion of each of its vehicles’ prices. If Tesla can use slightly smaller packs that are still capable of providing optimum range, Tesla can make sure that its EVs like the Semi and the Cybertruck will be as competitive as possible when they enter the market.
The Tesla Semi and the Cybertruck are competing in the trucking and pickup market, two very lucrative segments in the automotive industry. Interestingly, both segments are also ripe for disruption, with most veterans such as Freightliner and the Ford F-150 sticking to tried and tested strategies to thrive today. Tesla needs a key to ensure that it can have a fighting chance when it enters the trucking and pickup segment with the Semi and Cybertruck. If challenges faced by electric car makers today are any indication, it appears that batteries and their energy density will be the difference-maker. Fortunately, these just happen to be two things that Tesla has been obsessively pursuing since the company was founded less than 17 years ago.
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
