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.
LinkedIn
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.
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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
What do you think? Leave a comment down below. Got a tip? Email us at tips@teslarati.com or reach out to me at joey@teslarati.com
Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
