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Tesla stock (TSLA) could double thanks to edge in battery tech: Wall St veteran
Gary Black, a private investor who was once considered as one of Wall Street’s most prominent analysts in the tobacco industry, believes he has found the reason why Tesla stock (NASDAQ:TSLA) continues to climb. According to the finance veteran, a lot of it has to do with the company’s battery technology that just so happens to be head and shoulders above the competition.
On Thursday, Tesla’s stock ended the day at $404.04 a share, giving the company a $73 billion market value. Both of these are records for the electric car maker, and there may be more upside if the company meets its delivery and production targets this fourth quarter. That being said, Black noted in a statement to Barron’s that a lot of Tesla’s momentum is due to the company’s batteries, which give its vehicles like the Model S their industry-leading range.
“When you talk to dealers and non-EV users, the biggest obstacle to buying an EV is battery charge. People want the most range,” Black said.
Recent electric car releases from veteran automakers have only emphasized Tesla’s lead in efficiency and range. A Model 3 Standard Range Plus, for example, starts at $39,990 and offers 250 miles of emission-free driving. On the other hand, a Porsche Taycan Turbo, which costs about $150,000, will only offer 201 miles of range as per estimates from the EPA. That’s 20% less range for the Taycan at over three times the cost of the Model 3 Standard Range Plus.
While a longtime short thesis against Tesla argues that the young company will be buried by electric cars from more experienced rivals, Black remains confident that Tesla will continue to thrive. The veteran noted that Mercedes has delayed the release of its electric car, the EQC, in the United States. Meanwhile, Jaguar and Audi’s battery-powered vehicles have lagged in sales. Part of this is likely due to the vehicles’ range, as well as their lack of a dedicated charging infrastructure like Tesla’s Supercharger Network.
Considering its lead in battery tech, Black believes that Tesla’s sales could hit 1.8 million units annually by 2024. This would equate to around 10% of the United States car market and $8 billion in earnings before interest, taxes or depreciation. This also means that TSLA stock could double to about $800 per share in 2024. “I’m a value investor but I like to buy growth companies at a discount to intrinsic value,” Black said.
This becomes particularly feasible when Tesla’s constant improvements to its battery tech are taken into account. President of Automotive Jerome Guillen previously stated that Tesla’s batteries are never static, as they are always in a constant state of improvement. The company has been pretty secretive about the details of its latest battery tech innovations, but the unveiling of vehicles like the Cybertruck, whose top-tier variant goes over 500 miles of range for a price that’s less than $70,000, suggests that these improvements are significant.
Tesla currently holds 78% of the electric vehicle market in the United States. Black believes that with competition steadily increasing, the company must be prepared to see its overall presence in the market drop to around 40%. He thinks that drivers who currently utilize electric cars will eventually grow from 3% to 25% of the market, equivalent to 1.8 million battery-powered vehicles on the road. Nevertheless, if competition continues to be as anemic as it has been so far, Tesla may end up holding on to its dominant market share in the US’ EV industry longer than expected.
Disclosure: I have no ownership in shares of TSLA and have no plans to initiate any positions within 72 hours.
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
