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Trump delays Mexico tariffs for one month amidst border agreement
U.S. President Donald Trump has come to an agreement with Mexico to delay tariffs, stalling potential price increases that are expected to hit Tesla and other automakers if implemented.
The Trump administration announced over the weekend that it would enact 25-percent tariffs against products coming from Canada and Mexico, set to go into effect on Tuesday. On Monday, however, Trump and Mexico President Claudia Sheinbaum came to an agreement to delay the tariffs for one month, so long as the Mexican government agrees to send 10,000 National Guard members to the border to prevent further drug trafficking (via Reuters).
“I just spoke with President Claudia Sheinbaum of Mexico,” Trump wrote in a Truth Social post on Monday. “It was a very friendly conversation wherein she agreed to immediately supply 10,000 Mexican Soldiers on the Border separating Mexico and the United States. These soldiers will be specifically designated to stop the flow of fentanyl, and illegal migrants into our Country.”
In the post, Trump also said that the administration plans to host negotiations led by Secretary of State Marco Rubio, Secretary of Treasury Scott Bessent and Secretary of Commerce Howard Lutnick, along with high-ranking representatives from Mexico.
The agreement comes as the tariffs are widely expected to increase prices across the auto industry and others, as many U.S. assembled vehicles get a lot of parts from Canada, Mexico and China. In addition to tariffs against Canada and Mexico, Trump has also said the administration is planning a 10-percent tariff on Chinese imports.
READ MORE ON GLOBAL TARIFFS: Tesla joins group of automakers suing EU for EV tariffs from China-built cars
How would tariffs affect Tesla and other auto companies?
According to a report from Bloomberg, some vehicles could face price increases of up to $3,000 in the U.S. due to the tariffs, while several suppliers and auto manufacturers could also stand to face layoffs in certain areas of Canada and Mexico.
The tariffs are likely to affect the pricing of Tesla’s vehicles to a lesser extent than those of many companies, given that most of the company’s parts are made in the U.S. However, like many automakers that have final assembly in the U.S., Tesla also gets some components from other countries, so some kind of price increases are fairly widely expected.
In a filing with the National Highway Traffic Safety Administration (NHTSA) in October, Tesla reported that around 20 to 25 percent of its electric vehicle (EV) parts come from Mexico, while its vehicles have more U.S. and Canadian parts than most other automakers with around 60 to 75 percent coming from one of the two countries.
Tesla has also been planning to establish a factory in Mexico, already having invested around $100 million in the state of Nuevo Leon. The deal has largely remained in limbo for the past several months, and CEO Elon Musk said last year that the company would need to see how “things played out politically” with the election before proceeding with construction of Giga Mexico, in order to determine what level of tariffs Trump might establish.
The Trump administration is planning to meet with Canadian Prime Minister Justin Trudeau on Monday afternoon, after the leader said Canada would enact a 25-percent counter-tariff. The U.S. President has also signaled plans to target the 27 countries in the European Union (EU) with similar tariffs. He did not disclose when the government would aim to launch the European tariffs.
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U.S. legislators warn Mexico’s President of Chinese vehicle security threats
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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.”
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
