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Tesla responds to $137M jury order over alleged racism in Fremont Factory
Tesla has issued a statement responding to a San Francisco jury’s recent decision, which ordered the company to pay $137 million to a former contract employee who worked at the Fremont factory. The former worker, Owen Diaz, had accused the company of ignoring the racial abuse that he suffered through while working at the California-based plant around 2015 through 2016.
The jury’s decision was related by Lawrence Organ, the plaintiff’s lawyer from the California Civil Rights Law Group. “It’s a great thing when one of the richest corporations in America has to have a reckoning of the abhorrent conditions at its factory for Black people,” Organ stated. Tesla’s lawyers have not issued a comment about the ruling as of writing.
The initial lawsuit alleged that Diaz, who worked as an elevator operator at the Fremont Factory for about a year in 2015 and 2016, was called a racial slur by a supervisor and other colleagues on a regular basis. The former employee also stated that other Fremont Factory workers had left derogatory cartoons depicting Black children around the facility.
The jury deliberated for about four hours before agreeing that Tesla had created a hostile work environment by failing to address the racism being faced by Diaz. The jury agreed that a total amount of $137 million — comprised of $130 million worth of punitive damages and $6.9 million for emotional distress — was sufficient for the case. Tesla is expected to appeal the order.
In response to the jury’s order, Tesla’s VP People Valerie Capers Workman posted a blog post on the company’s official website to explain some points about the case and the jury’s $137 million order. Workman noted that Diaz, as well as three other witnesses, testified at the trial that they regularly heard racial slurs on the Fremont factory floor. Such comments, however, were usually used by African-American workers amongst themselves.
The VP also admitted that racist graffiti was indeed found in the Fremont Factory’s bathrooms, which were, in turn, removed by janitorial staff. Workman added that Diaz had filed written complaints to his non-Tesla supervisors, which resulted in Tesla stepping in to address the reported issues. Two contractors were terminated and one was suspended as a result of the former contract worker’s complaints. Diaz had reportedly noted that he was “very satisfied” with the results of the investigations.
Ultimately, Workman stated that Tesla today is not the same as the Tesla that Diaz worked with back in 2015 and 2016. She also remarked that the company has rolled out a number of inclusivity programs designed to ensure that incidents such as those experienced by the former contract worker would not happen anymore. These include a set of new behavior and language policies that the company posted back in July, which explains how derogatory words — including those used among friends of the same race or gender — would no longer be allowed in Tesla.
“While we strongly believe that these facts don’t justify the verdict reached by the jury in San Francisco, we do recognize that in 2015 and 2016 we were not perfect. We’re still not perfect. But we have come a long way from 5 years ago. We continue to grow and improve in how we address employee concerns. Occasionally, we’ll get it wrong, and when that happens we should be held accountable.
“The Tesla of 2015 and 2016 (when Mr. Diaz worked in the Fremont factory) is not the same as the Tesla of today. Since then, Tesla has added an Employee Relations team, dedicated to investigating employee complaints. Tesla has added a Diversity, Equity & Inclusion team dedicated to ensuring that employees have the equal opportunity to excel at Tesla. And Tesla now has a comprehensive Employee Handbook (replacing the Anti-Handbook Handbook) where all of our HR policies, employee protections, and ways to report issues are published in one easy-to-find online document,” Workman wrote.
Tesla’s full statement on the $137 million jury order could be accessed here.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
