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Tesla’s next Gigafactory location unknown, but all signs point toward India
In May, Tesla CEO Elon Musk said the electric automaker would likely announce its next Gigafactory location by year’s end.
While there have been rumors of deep talks in Spain, numerous meetings with French government officials, and heavy speculation regarding a relationship with Canada, Indonesia, and South Korea, it is becoming overwhelmingly clear that all signs are pointing toward India, a location where Tesla has mulled a factory for several years.
It all started back in 2015 when Indian Prime Minister Narendra Modi and Musk had their first meeting at the Fremont Factory in Northern California.
At the time, Tesla was still a young-and-scrappy car company, pushing out just thousands of units each year as it only offered the Model S and Model X at the time. Electric vehicles were still a far cry from what they are today, and while there were other options on the market, gas-powered options still dominated the overall market.
Fast-forward to 2018, when Tesla decided to open its first vehicle production factory outside of the United States in Shanghai. The Chinese EV production plant quickly became Tesla’s most effective, accumulating thousands of workers and producing a majority of the automaker’s annual volume. It went from a domestic production facility for Chinese customers to an “export hub” that would feed some of the best-selling EVs to the European market.
This all happened before Tesla would commit to building a factory near Berlin in 2019, and then another factory in Mexico in 2023.
In 2021, Tesla seemed primed to announce it would make a substantial investment in India. It had a team of executives lined up, which included David Feinstein, Tesla vet who would be named Director of Global Trade and New Markets. Vaibhav Taneja was assigned as the Chief Accounting Officer for the India plant, and Prashanth R. Menon assumed the role of Director of Tesla India.
The team was even rounded out with Manuj Khurana for Policy and Development, Nishant Nishant for Charging Infrastructure, and Chithra Thomas for Human Resources. Samir Jain was set to take over India’s Service Operations for Tesla after seven years at Porsche, where he headed Aftersales for the German automaker’s operations in India.
However, the team Tesla would put together for India would never get to work in the market, as it was set to establish the plant there.
Tesla had certain demands it needed to fulfill before committing to a Gigafactory there, and India had certain demands it needed to fulfill before giving Tesla what it wanted.
Tesla’s ‘challenges’ with India gov’t halt potential rescue of $27B manufacturing initiative
India has some of the highest import duties on vehicles in the world. The taxes would double the price of any car priced over $40,000 and 60 percent to any car under that threshold. Because of this, Tesla requested import duties be reduced to 40 percent, which would help the company determine if demand for its cars was high enough to move forward.
If Tesla is able to succeed with imported vehicles, then a factory in India is quite likely.
— Elon Musk (@elonmusk) July 23, 2021
However, Indian officials were reluctant to oblige to Tesla’s demands, arguing that “company-specific” duty rollbacks would not be possible.
The government has made its stance against company-specific incentives clear,” government officials from India said. “This also applies for one particular company requesting industrywide changes to existing policy. Over the past four years, multiple demands were made by a large US-based firm to open up the market at lower import duties as well. Now, they locally produce in India and are ramping up capacity.”
India has a $27B manufacturing initiative called “Make In India,” which encourages companies from all corners of the globe to develop, produce, and assemble products in India with sizeable investments. This initiative was first introduced in 2014 by Modi.
Because Tesla would be importing vehicles from other countries, most likely China, into India’s marketplace, government officials were unfavorable of the idea of rolling back duties. However, they were willing to do so, only if Tesla would commit to building the factory in the first place, which completely eliminated the purpose of testing demand in the first place.
Two years later, it appears Tesla and India have come to some kind of agreement. Although the terms of a partnership or investment are unknown currently, both Modi and Musk have put forth statements that seem to indicate Tesla’s next factory will be in India.
“I am confident Tesla will be in India, and we’ll do so as soon as humanly possible,” Musk said. “Hopefully, we’ll be able to announce something in the not-too-distant future.”
We don’t want to jump the gun on an announcement,” he added, “but it’s quite likely that there will be a significant investment and relationship in the future.”
#Breaking | ELON MUSK SPEAKS TO REPUBLIC
Elon Musk speaks to Republic after meeting PM Modi, announces he and Tesla are coming to India pic.twitter.com/x2CxFEDM2Z
— Republic (@republic) June 20, 2023
Modi also posted his own photo with Musk on his Twitter account, thanking the Tesla CEO for a “great meeting.”
Great meeting you today @elonmusk! We had multifaceted conversations on issues ranging from energy to spirituality. https://t.co/r0mzwNbTyN pic.twitter.com/IVwOy5SlMV
— Narendra Modi (@narendramodi) June 21, 2023
Because of the widespread speculation regarding Tesla’s next factory, we can all speculate on where it will end up. But if there is any indication of what the automaker wants and what the government wants, the long-standing attempts to get a deal done may indicate Tesla is most likely to end up in India.
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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.”
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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
