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Tesla’s rise is unmasking Japan’s risk of being left behind
Tesla has been one of the automakers that have actually managed to thrive this year despite the pandemic. And as the electric car maker continues its rise, it is becoming pretty clear that legacy automakers who refuse to ride the transition to renewable transport risk getting left behind. This is the case even if the automaker in question is Toyota, the previous Number 1 carmaker by market cap.
Tesla only sells a fraction of the vehicles sold by Toyota every year, but the electric car maker has a market cap that is around $370 billion now. That’s roughly equivalent to the annual gross domestic product of Hong Kong, and it’s nowhere near reaching its full potential yet. TSLA bulls like Cathie Wood of ARK Invest note that Tesla’s Autopilot tech and data are pretty much ignored for now, and billionaire investor Ron Baron argues that Tesla Energy has as much potential as the company’s EV business.
Tesla is showing rapid growth across the globe, and this is no more evident than in China, a country that is currently home to the company’s first offshore Gigafactory in Shanghai. Thanks to this, as well as grassroots efforts that make Teslas widely supported by the Chinese government, the company is poised to reap benefits in the country. In Japan, however, things could not be more different. Tesla may have close ties with Japan thanks to its longtime battery partnership with Panasonic and its previous deal with Toyota, but today, the far east country’s mainstream vehicle market remains out of reach for the Silicon Valley-based maker.
Despite this, William Pesek, an award-winning Tokyo-based journalist and author of “Japanization: What the World Can Learn from Japan’s Lost Decades,” argues that Tesla’s rise across the globe further highlights how Japan’s auto market is still stuck in first gear. In an article on the Nikkei Asian Review, Pesek noted that what Japan is so far missing in the Tesla picture is the fact that Elon Musk does not sell cars. While Japan is still busy focusing on hardware, Tesla is already exploring software, allowing Elon Musk to pretty much sell than iPhone on wheels. This ensures that Tesla is capable of embracing the next generation of motoring.
“What Toyota long missed about Musk is that he is not selling cars. He is selling an iPhone with wheels. The vehicle itself is merely a medium to market the software undergirding the iTunes-like community that he is building. The data Tesla collects from users, their environs, interests, tendencies, travel habits and the range of behaviors will arguably be more valuable than the engines and high-performance batteries powering them. This enables Tesla to hone the customer experience, while discerning where the market will veer next,” Pesek wrote.
Perhaps what Japan really needs right now is to embrace the fact that sometimes, disruption is a necessary evil during times of transition. Strictly speaking, legacy automakers like Toyota should have no problem catching up to Tesla by, say 2025, due to their massive talent pool and resources. This does not seem to be case, however, as carmakers like Toyota have a tendency to focus more on legacy than innovation. Toyota has refined its car making processes through decades of refinements, and its global supply chain helps create millions of jobs. This, while noble in a way, is a weight that a company like Tesla simply does not have.
Tesla moves fast, fails fast, and innovates fast. The company’s vertical integration allows it to implement changes and improvements as soon as they are ready. Granted, automakers like Toyota could not adopt such changes overnight, but efforts must be done to increase innovation. This is something that Japanese companies are capable of doing, as seen in the continued efforts of Panasonic’s and its longtime battery partnership with Tesla in Gigafactory Nevada. Perhaps companies like Toyota, Nissan, Honda, and the other premier Japanese carmakers could do the same.
For now, it appears that Elon Musk has already won. So great is the gap in the electric vehicle market that newcomers like Lucid Motors and Rivian Automotive seem to have a better chance at catching Tesla than legacy carmakers. But amidst this threat of being permanently left behind, veterans in the auto market could also see this time as an opportunity to change and raise their electric vehicle game. If there’s anything that Tesla’s rise shows, after all, it is that renewable solutions are the new standard, and they are here to stay.
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
