Tesla has officially received a business license in India that will allow the automaker to function as a full-fledged car manufacturer in one of the world’s most populous countries. Without a team of highly-experienced executives who are versed in international business, financials, and manufacturing, Tesla wouldn’t have a chance at being successful anywhere, let alone in India. Therefore, the company has called upon three executives to start the operation as they have been listed on India’s Ministry of Corporate Affairs website as the three Directors who will lead Tesla into India, an unfamiliar territory.
Tesla has had India in its plans for corporate expansion for several years. Musk met with Indian Prime Minister Narendra Modi in 2015, where the politician expressed his support for Tesla’s mission and it’s all-electric products. But since then, Tesla has been met with nothing but roadblocks and delays. It has finally made some headway in its effort to establish a production facility or Research and Development center in the country.
Because of import taxes, Tesla’s vehicles are a rarity in India. Nearly doubling the cost of the vehicle due to getting it into the country from Fremont, California, Teslas are only driven around by the extremely wealthy. With limited charging options available in the country, it makes them even less appealing. However, the coming expansion incites consumer excitement among Indian fans of the electric carmaker, who have pushed for Elon Musk to attempt to drive his company into their country. Now it’s finally happening.
David Feinstein
David Feinstein has been with Tesla for 8 years and 9 months, according to his LinkedIn page. His job title has always been related to Global and International business. When he started with Tesla in 2012, he was the Manager of Global Trade Compliance for its supply chain. After that, Feinstein became the Senior Manager of Global Trade, then the Director of Global Trade & New Markets. He was appointed to the Senior Director of Global Trade & New Markets in February 2020, and now his biggest project yet has been passed onto him: getting Tesla up and running in India.
Feinstein’s global trade experience will be beneficial for Tesla’s entrance into the market. Since India is one of the few countries with such a heavy import tax, which has really neutralized Tesla’s presence in the country until now, it will be interesting to see what he can do moving forward.
Vaibhav Taneja
Vaibhav Taneja is the Chief Accounting Officer for Tesla, and he has held that position for 1 year and 11 months. He started with Tesla four years ago in February 2017 as the Assistant Corporate Controller and then moved to the Corporate Controller position. Controllers are responsible for the accuracy and timeliness of a company’s accounting department. They control the company’s cash flow and oversee the production of financial reports.
LinkedIn
Prior to Tesla, Taneja acted as the VP and Corporate Controller of Solar City until Tesla absorbed the company, his LinkedIn states. He also has close ties with India, as he is a graduate of Delhi University with a Bachelor’s Degree in Commerce. He also attended the Institute of Chartered Accountants of India and is a Certified Public Accountant.
Taneja will likely work to solve financial challenges as Tesla moves forward with its Indian inclusion. His proven track record with Tesla makes him a great fit for the job, and his roots in India certainly don’t hurt, either.
Venkatrangam Sreeram
Venkatrangam Sreeram is the co-founder of ClearQuote, an app that uses computer vision to assess car damage. Before that, he was Managing Director of Xenon Automotive and spent nearly two years as a Project manager for Tesla’s China operation from July 2012 to May 2014. As a Project Manager, he states that he was involved in the set up of wholesales in retail operations in the country. He had automotive experience before his post at Tesla. He worked as a Project Manager and a VP of Sales Operations for Jaguar Land Rover, and an Assistant General Manager for Tata Motors in Mumbai and London.
Venkat, as he is referred to, is based in Karnataka as well, the southwest state in India that will be home to Tesla’s Indian initiative.
Cartisan.in
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
