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A Tesla Gigafactory in India for solar and battery storage can make a killing

(Credit: Tesla)

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It is not rare to see Tesla enthusiasts from India asking CEO Elon Musk about updates on the electric car maker’s entry into the country. This is especially notable considering that some India-based EV enthusiasts have been holding on to their Model 3 deposits for several years now. Musk, for his part, has remarked that it is quite difficult to enter India as an electric car company due to local protectionist policies. But perhaps Tesla’s entry into India does not necessarily have to be driven by its electric cars. Perhaps a more viable strategy is to enter India through Tesla Energy. 

Tesla’s entry in India has pretty much been in the air for years. Back in June 2017, Elon Musk noted that Tesla was “In discussions with the government of India requesting temporary relief on import penalties/restrictions until a local factory is built.” Almost a year later, Musk posted an update on Tesla’s impending India push on Twitter, stating that while the company would love to enter the country, there are some “challenging government regulations” that need to be addressed first. The CEO then stated that Tesla will be in India as soon as then CFO Deepak Ahuja, who hails from the country, believes it’s the right time. 

References to India’s challenging regulations were echoed by Musk a year later, following the 2019 SpaceX Hyperloop Pod Competition. After the competition, the Avishkar Hyperloop team from IIT Madras asked Musk when Tesla will be in India. Musk reportedly responded that the company may enter the country in about a year’s time. Since then, Musk has been quite silent about Tesla’s India push, until recently, when he apologized to an EV enthusiast from the country who has held a Model 3 reservation for four years now. 

Challenging regulations aside, the idea of Tesla establishing a dedicated electric vehicle factory in India may not be the optimal idea for now. As noted by Galileo Russell in a recent livestream on his Hyperchange YouTube channel, vehicle sales in India are dominated largely by two-wheeled or three-wheeled vehicles, thanks in part to the population density of the region. There is an emerging electric vehicle market in the country, but it will likely take years before it matures enough to develop a considerable electric passenger vehicle segment. 

Best-selling passenger cars in India tend to be lower-priced and smaller as well, making the market very competitive. This means that Tesla, whose smallest vehicle is a premium midsize sedan in the form of the Model 3, would likely have challenges attracting the conventional Indian car buyer. The story completely changes if Tesla has a smaller, more affordable vehicle in its lineup, of course, but the release of such a car could still be a few years out. 

With this in mind, does it mean that it won’t be worth it for Tesla to enter the Indian market? Absolutely not. While India may not be a very attractive market for large premium vehicles, the country is the perfect place to ramp an energy business that’s focused on solar panels and battery storage. Fortunately, Tesla actually has an Energy department that fits this bill, and the company is hard at work in ramping it up. Tesla Energy could then be the perfect entry point in India, on account of the country’s push towards sustainability. India’s power grid is known for its areas of improvement as well, making it a good fit for Tesla’s battery storage solutions.

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Provided that Tesla Energy could price its solar panels and battery storage devices competitively, the company could have a good shot at making an impact in the Indian market. Tesla already prices its solar solutions in the United States very aggressively, and with a dedicated facility in India (perhaps a Gigafactory India is in order?), the company could take over a good portion of the country’s residential and commercial market. Such would go hand in hand with Tesla’s next-generation batteries as well, which are expected to be cheaper to produce and far more durable and high powered compared to their predecessors. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

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.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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