Tesla faces a new lawsuit alleging severe harassment of Black employees at its Fremont, California factory, as filed by a federal civil rights agency this week.
On Thursday, the U.S. Equal Employment Opportunity Commission (EEOC) filed a lawsuit against Tesla in federal court, claiming that, since 2015, the company’s Black workers have been subject to racist slurs and graffiti, including images of swastikas and nooses, according to a report from Reuters.
The suit is just the latest in allegations of racial discrimination at the automaker’s Fremont, California factory, and it comes just over a week after another lawsuit claiming toxic work environments at Tesla’s factories was dismissed.
According to this week’s lawsuit, Tesla hasn’t investigated the claims of racist conduct since the EEOC first raised them, and it also claims that the automaker has fired some employees who reported cases of harassment. Tesla has said in the past that it doesn’t tolerate any racial discrimination, adding that it takes complaints from its workers very seriously.
The lawsuit comes after it was found that the EEOC was investigating Tesla last year, with the agency saying that it discovered “reasonable cause” to believe the automaker went against federal discrimination laws. The EEOC then tried to enter into a settlement with Tesla, though discussions to settle reportedly failed. Investigations began when EEOC chair Charlotte Burrows filed an internal complaint with the commission, considered a charge against Tesla.
“Every employee deserves to have their civil rights respected, and no worker should endure the kind of shameful racial bigotry our investigation revealed,” Burrows said.
Reuters notes that the EEOC typically settles lawsuits directly with employers, adding that it’s somewhat uncommon for the agency’s cases to make it to trial.
The suit also represents the first set of federal charges brought against Tesla for allegations of racial discrimination, with similar lawsuits previously arising from the state of California and past employees. Stephen Diamond, a Santa Clara University law professor who has previously advised Tesla investors on social responsibility, notes that the escalation to the federal level could make it harder for the automaker to defend itself against allegations of discrimination.
“If the federal government gets involved, it certainly adds credibility to the claims,” Diamond said. “Major institutional investors like pension funds will be very concerned about this type of behavior.”
The lawsuit is seeking to make Tesla pay compensation and punitive damages to an unspecified number of its Black workers at the Fremont location, and it would also force the automaker to improve policies related to discrimination and retaliation.
Tesla also faces a racial discrimination case from the California Civil Rights Department (DCR), which is considered a counterpart of the EEOC’s on the state level. That particular suit alleges that Tesla discriminated against Black workers in decisions about wages, promotions and general work assignments. Tesla requested that the DCR dismiss the case last year, saying it was politically motivated, though a judge denied the request.
In addition, a former Black contract elevator operator at the Fremont factory, Owen Diaz, is now seeking his third trial with Tesla from a 2017 lawsuit alleging racial discrimination. In the suit, Diaz said he was told to “go back to Africa” and was called the N-word without any action taken by the automaker despite his repeated complaints. A jury awarded Diaz $3.2 million in April after he rejected a separate payout in 2021 that the judge had reduced from $137 million to $15 million.
Tesla is also facing a class-action lawsuit from around 240 employees in California, claiming that the company mistreated Black workers at the Fremont factory.
Former Tesla employee looks to add almost 240 plaintiffs in racism lawsuit
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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
