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.
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.
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.”
News
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
