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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.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
