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A look at Tesla’s potential new Gigafactory locations: Mexico, Canada, Indonesia or South Korea
Recent reports indicate that Tesla’s new gigafactory could be located in Mexico. The EV maker is expected to announce the location of its new factory this week.
Besides Mexico, there have been a few locations that Tesla has considered for its new gigafactory. Even if Mexico is Tesla’s new gigafactory location, the other places in the running are not completely out of the question.
Tesla North America
Canada and Mexico are the top choices for Tesla’s new gigafactory in North America. Cars made in either country would benefit from the United States’ new EV subsidies.
Between the two, Tesla appears to be leaning more towards Gigafactory Mexico. Although Tesla also appears to be considering a partnership with Canada for parts.
Tesla Giga Mexico
Sources close to the matter told Bloomberg News that Tesla plans to announce its new gigafactory in Mexico later this week. The plan will reportedly be located in Santa Catarina, Monterrey City. Tesla still has to iron out a few details regarding Giga Mexico.
The company has been talking with the state government of Nuevo Leon and Mexico’s foresight relations ministry over the past few weeks. The EV manufacturer has already established a good business relationship with the state government of Nuevo Leon.
Tesla has an exclusive customs lane for parts from the Nuevo Leon border into Texas. Another benefit to building in Mexico is that Tesla vehicles would still qualify for EV subsidies in the United States from the Inflation Reduction Act (IRA).
Tesla Giga Canada
Elon Musk teased a possible gigafactory in Canada during Giga Texas’ Cyber Rodeo event earlier this year. Tesla has been active in Canada these past few months through lobbying efforts and discussions with Canadian officials.
In September, Canada’s Minister of Industry Francois-Philippe Champagne stated that Tesla did discuss the possibility of building a factory in Canada. Earlier this year, Champagne emphasized that Canada hopes to be the auto industry’s new “supplier of choice.” Canada has the minerals and supplies automakers need to manufacture electric vehicles and EV batteries. In August, for instance, Volkswagen and Mercedes-Benz signed separate agreements with Canada for EV battery materials.
Tesla already has a facility in Canada that builds some of the machines the company uses in its gigafactories worldwide. A gigafactory in Canada would also qualify for EV subsidies in the IRA.
Tesla Gigafactories in Asia
Gigafactory Shanghai will likely be Tesla’s main headquarters in Asia. However, as the EV maker expands its presence in all of Asia, it would need to partner with more Asian countries. Indonesia and South Korea are two viable partners that could boost Tesla’s supply chain and presence in the East.
Tesla Indonesia
Elon Musk has met with Indonesia’s President Joko “Jokowi” Widodo multiple times this past year. Jokowi has been working hard to establish a relationship with Musk and form a partnership between Indonesia and Tesla.
In August, Tesla reportedly signed a nickel contract with Indonesia worth $5 billion. Indonesia has major nickel reserves, attracting car makers worldwide, like Tesla. However, Jokowi emphasized his desire to build fully electric vehicles in the country.
“What we want is the electric car, not the battery. For Tesla, we want them to build electric cars in Indonesia. We want a huge ecosystem of electric cars,” President Jokowi said.
Tesla South Korea
Last month, South Korea’s President Yoon Suk-Yeol reportedly talked with Elon Musk. According to officials in President Yoon’s office South Korea was a top candidate for Tesla’s next factory in Asia.
Elon Musk and President Yoon discussed Tesla increasing its cooperation with South Korea in terms of supply chain. The South Korean President also offered special incentives to encourage investments from Tesla and SpaceX.
“If Tesla, SpaceX or other companies are considering more investment in [South] Korea, including constructing a gigafactory, the government will do our best to support the investment,” President Yoon said.
Tesla is expected to announce the location of its next gigafactory later this week. Mexico appears to be the location of choice. However, given Tesla’s activities in other countries, Canada, Indonesia, and South Korea might not be entirely out of the running.
What do you think of these locations for Tesla’sTesla’s next gigafactory? Does Tesla need another partner in Asia? Tell us in the comments below.
If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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
