The United Auto Workers (UAW) has successfully agreed on tentative contracts with Ford, General Motors (GM) and Stellantis after over six weeks of strikes. However, the union’s president now says that the next round of contract negotiations will include more than just the Big Three, highlighting desires to unionize other automakers like Tesla, Toyota, Volkswagen and others.
UAW President Shawn Fain said on Sunday that the next round of bargaining, set for 2028 when contracts expire again, will include more than just the Big Three, instead including a “Big Five or Big Six,” as detailed in a report from Bloomberg. The statements came after it has been widely speculated that Fain and the UAW might target Tesla next now that the union has come to tentative agreements with Ford, Stellantis and GM.
“One of our biggest goals coming out of this historic contract victory is to organize like we’ve never organized before,” Fain said. “When we return to the bargaining table in 2028, it won’t just be with a Big Three, but with a Big Five or Big Six.”
Earlier this month, Fain also called workers at Tesla, Toyota, Honda and others “UAW members of the future,” highlighting his ambitions to boost membership to include the automakers.
UAW President: Tesla workers are union “members of the future”
Tesla and other automakers, such as Toyota and Volkswagen, have U.S. facilities, though the UAW does not represent workers at those sites. Tesla is not a surprise target for the UAW, being the world’s most valuable automaker and the dominant market leader in electric vehicles (EVs), along with employing tens of thousands of U.S. workers in California, Texas, Nevada and New York.
According to a person familiar with the matter in the Bloomberg report, Tesla’s factory in Fremont, California, has a UAW organizing committee, and its members are actively talking to workers about the benefits of unionization and collective bargaining. The person also said that the UAW has shared its commitment to offering any needed resources for that campaign.
However, past unionization attempts at Tesla have failed, and CEO Elon Musk has been outspoken about his disdain for unions on many occasions. Last year, Musk invited the UAW to hold a vote at its Fremont factory, though it never took place.
A union is just another corporation. Far better for many companies to compete for your skills, so that you have maximum optionality.
— Elon Musk (@elonmusk) May 26, 2022
Labor efforts in other industries show that the landscape has changed since one Tesla worker at the Fremont factory went public with attempts to have the UAW unionize the plant in 2017. At the time, Musk also opposed the attempt, calling the union drive “morally outrageous,” and the campaign faded away after a few years.
“The UAW would love to get into Tesla, but I don’t think they have a chance,” said former Fremont employee Mark Eberley, who worked on a UAW drive at Tesla prior to his departure in 2020.
Others who previously worked at Tesla told Bloomberg that corruption scandals at the UAW and the switch to become a non-union factory when the automaker purchased the plant in 2010 were both viewed as liabilities to a unionization effort. In 2020, former UAW President Dennis Williams pleaded guilty to conspiracy to embezzle union funds after serving as the group’s leader from 2014 to 2018.
Despite the scandal, Fain and the UAW’s success in coming to a tentative agreement with the Big Three comes at a time when several other labor efforts have also taken shape. Additionally, Gallup data shows that the U.S. public has shifted in its views on unions since the last unionization efforts at Tesla. While just over half of Americans reported approving of labor unions in 2016, that number has risen to roughly 67 percent in 2023.
“Any effort to organize Tesla would be a battle royale,” said Seth Harris, President Joe Biden’s former deputy director at the National Economic Council. “The UAW is showing itself to be a militant, well-organized force.”
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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
