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The DFEH’s case against Tesla has been filed, and its allegations are very, very serious
Just a few days ago, Tesla noted in a blog post that the California Department of Fair Employment and Housing (DFEH) is intending to file a lawsuit against the company over alleged systemic racial discrimination and harassment in the its CA facilities. The DFEH’s lawsuit has now been filed, and just as Tesla’s blog post suggested, its accusations are indeed very, very serious.
The lawsuit, which was electronically filed to the Superior Court of California, County of Alameda on February 9, 2022, pointed out that Tesla is currently the “largest and highest-profile” electric car company in the world. The suit also highlighted that “Tesla’s Fremont factory is the only nonunion major American automotive plant in the country.” And while a job at Tesla is typically seen as a “golden ticket” for those without a technical background or college degree to secure a job in tech and a path to a career and a living wage, there is segregation and a systemic racism issue prevalent in the company’s CA facilities.
The Department of Fair Employment and Housing alleges that this segregation, as well as the absence of Black and/or African Americans in leadership roles, has resulted in rampant racism being left unchecked for years.
“As early as 2012, Black and/or African American Tesla workers have complained that Tesla production leads, supervisors, and managers constantly use the n-word and other racial slurs to refer to Black workers. They have complained that swastikas, “KKK,” the n-word, and other racist writing are etched onto walls of restrooms, restroom stalls, lunch tables, and even factory machinery. They have complained that Black and/or African American workers are assigned to more physically demanding posts and the lowest-level contract roles, paid less, and more often terminated from employment than other workers.
“They have also complained that Black and/or African American workers are often denied advancement opportunities, and more often and more severely disciplined than non-Black workers. More significantly, these numerous complaints by Black and/or African American workers about racial harassment, racial discrimination, and retaliation lodged over a span of almost a decade have been futile. For example, Defendants turned, and continue to turn, a blind eye to years of complaints from Black workers who protest the commonplace use of racial slurs on the assembly line. Tesla was, and continues to be, slow to clean up racist graffiti with swastikas and other hate symbols scrawled in common areas.”
Details of the allegations against Tesla were quite shocking, as they include instances that, for all intents and purposes, should have resulted in a quick termination against the perpetrators. This is something that Tesla has reportedly done in the past, as outlined by the company in its response to a $137 million jury verdict, which came as a result of a lawsuit filed by ex-employee Owen Diaz, who accused the company of racial abuse during his tenure around 2015 through 2016. According to Tesla, two contractors behind Diaz’s racial abuse were promptly terminated, while another was suspended following an internal investigation.
Following are some of the detailed allegations outlined by the DFEH against Tesla.
“Throughout the day, every day, Black and/or African American workers heard Defendants’ workers, leads, supervisors, and managers make racial slurs and comments about Black workers.27 Examples of the racist language include the n-word, “porch monkey,” “monkey toes,” “boy,” “hood rats,” and “horse hair.” Defendants’ workers, including production leads and supervisors, made references to Black and/or African Americans in racist comments and racist jokes such as “N[ ] word out of the hood,” “from the ghetto,” “Tesla [was] hiring lazy coons,” and “go back to Africa.”
“Because the factory was racially segregated, Defendants’ workers referred to the areas where many Black and/or African Americans worked as the ‘porch monkey station.’ Defendants’ workers with tattoos of the Confederate flag made their racially incendiary tattoos visible to intimidate Black and/or African American workers. Racial slurs were also dispensed in Spanish and included ‘mayate’ and ‘negrita.’ Additionally, Defendants’ workers referred to the Tesla factory as the ‘slaveship’ or ‘the plantation,’ where Defendants’ production leads ‘crack[ed] the whip.’ Many Black and/or African American workers understood these terms to be references to how Defendants treated its Black and/or African American workers. One Black worker heard these racial slurs as often as 50-100 times a day.
“These Black and/or African American workers also had racial slurs directed at them. These workers were subjected to Defendants’ production associates, leads, and supervisors directly calling them the n-word throughout the day. One worker heard Defendants’ production associates and leads tell her to ‘Shut the fuck up, N[ ],’ and ‘All blacks look alike.’ Another Black worker reported that at least twice Defendants’ workers mocked him for eating watermelon during lunch. They accused him of being lazy, saying, ‘You’re eating watermelon, that’s why you’re lazy.’ These co-workers also speculated about his genitals and referred to him as ‘Mandingo’ or ‘big black guy.’ Another worker heard Defendants’ production lead and production associate crack racist jokes loud enough for others to hear. When he raised the jokes with them, the production associate slapped his shoulder and said it was just a joke. When another Black worker protested to being called a racial slur and asked Defendants’ production associates, leads, and supervisor to refer to him by his name, they retorted, ‘This N[ ] is crazy’ or ‘This N[ ] is tripping.’ They called him a snitch for complaining.
“Notably, Defendants’ leads, supervisors, and managers were active participants and/or witnesses to these racist comments. Black and/or African American workers reported that Defendants’ leads and supervisors on the production line often said, ‘That stupid N[ ] over there’ or ‘That fucking N[ ], I can’t stand them.’ Regarding a group of Black production associates, Defendants’ supervisor said that “there [was] too many of them in there. They are not Tesla material.” Defendants’ supervisors complained about where Black and/or African American workers were assigned, saying, ‘Monkeys work outside,’ and ‘Monkeys need a coat in cold weather.’ A supervisor pointedly asked one African American worker, ‘Do most Africans have bones through their noses?’ Another African American worker reported that a group of Defendants’ production leads often laughed at her whenever she walked by them. These leads muttered’ N[ ]’ or ‘Shut up, N[ ]’ to her at first. When she started getting awards for her work performance, these leads openly called her these racial slurs.
“On a daily basis, Black and/or African American workers were confronted with racist writing while working at Tesla. They saw racist graffiti – including’ N[ ],’ ‘KKK,’ swastikas, the Confederate flag, a white supremist skull, ‘go back to Africa,’ and ‘mayate’ – written on the restroom walls, restroom stalls, lockers, workplace benches, workstations, lunch tables, and the break room. These slurs were even etched onto Defendants’ machinery. One Black worker observed ‘hang N[ ]’ penned next to a drawing of a noose in the breakroom restroom. This worker also saw ‘all monkeys work outside’ and ‘fuck N[ ]’ on the breakroom walls. These racial slurs and racial comments, apparent to all who walked by, were left up for months, without Defendants bothering to remove them.”
As noted by Tesla in its recent blog post, it would be asking the court to pause the DFEH’s case to ensure that facts and evidence will be heard. The EV maker also noted that despite repeated requests, the DFEH has declined to provide Tesla with specific allegations or the factual basis for its lawsuit. Tesla did note, however, that over the past five years, the DFEH has been asked on almost 50 occasions by individuals who believed that they were discriminated against or harassed to investigate the company. But on every single occasion, the DFEH did not find any misconduct against Tesla.
Teslarati has sent an inquiry to the California DFEH about its case against Tesla, and why it waited years to file a case against the EV maker considering the gravity of the suit’s accusations. The DFEH’s response would likely be covered in a separate article that would be written in the near future.
The DFEH’s lawsuit against Tesla can be viewed below.
DFEH vs Tesla by Simon Alvarez on Scribd
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
