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Tesla sued by female engineer over allegations of “pervasive harassment”
Tesla has been sued by a female engineer who alleges that a climate of “pervasive harassment” has impeded her career advancement. This lawsuit is one more in a series of recent accusations by females against Silicon Valley technology companies.
Update: Tesla issues an official response to the lawsuit
AJ Vandermeyden, 33, whose career at Tesla began in 2013 and continues today, has come forward at a time when nondisclosure statements prohibit most internal accounting of technology sector working conditions. Among Vandermeyden’s claims are a lower salary than males at comparable job assignments, promotions based on gender rather than qualifications, and a cultural climate where a female who raises concerns becomes the object of internal human resources scrutiny.
Her complaints include male co-workers engaging in sexual harassment that goes unaddressed by human resources. Vandermeyden insists she is dedicated to Tesla, which is part of her motivation for coming forward to advocate for fair treatment and reforms. The engineer owns a Tesla Model S and has a reservation for the upcoming Tesla Model 3. “Until somebody stands up, nothing is going to change,” she said in a recent interview to The Guardian about the discrimination lawsuit she filed last year. “I’m an advocate of Tesla. I really do believe they are doing great things. That said, I can’t turn a blind eye if there’s something fundamentally wrong going on.” She acknowledges that she may face serious risks for making the public aware of her lawsuit against Tesla.
AJ Vandermeyden sits in her Tesla outside her family’s home in San Carlos, California. Photograph: Ramin Talaie for the Guardian
Vandermeyden’s lawyer, Therese Lawless, states that many females in similar positions choose not to speak up. “It’s very difficult for women to come forward. They’re concerned that their career is going to be hindered or jeopardized.”
Vendermeyden moved up through the Tesla ranks to a manufacturing engineering position in the general assembly department, where she was paid less than the male engineers whose position and responsibilities she had assumed. This structure of strong relative percentages wages of males to females is typical throughout the Tesla organization, where its highest paid and most prestigious positions are held by males, with only two out of thirty vice-presidents self-describing as female. In Vandermeyden’s case, it was common for her to be the only female in meetings with forty to fifty males.
She outlined how this male-centric Tesla workplace can be hostile to women and dismissive when discussions around barriers to female workplace equality are raised. The response, she says, is often: “‘We’re focused on making cars. We don’t have time to deal with all this other stuff.’”
The complaint, which was filed in autumn, 2016, alleges that, although Vandermeyden designed a solution to compensate for inadequacies in vehicle quality testing which had been overlooked by supervisors and male engineers, she was not recognized for her problem-solving at the time of performance reviews. Instead, her lawsuit claims that Tesla retaliated against her for being a “whistleblower” when she raised concerns about these cars “sold in a defective state.” The result? Males were granted positions above her, according to the complaint, which her lawyers indicate is a pattern in which she and other female engineers were denied promotions even though they were “equally or more qualified” than the males. The lawsuit outlines how Tesla denied her overtime pay, rest breaks, and meal periods when she worked in sales, as well.
She also experienced “unwelcome and pervasive harassment by men on the factory floor including but not limited to inappropriate language, whistling, and cat calls,” the lawsuit says. Objections about sexual harassment, which she raised in 2015, went unheeded. Instead, Vandermeyden was told that, in order to advance her position, she must achieve what she felt was an unattainable factory performance standard, one that was not expected of male engineers. Despite the positive performance evaluations she received, Vandermeyden concluded that her best opportunities for career advancement and overcoming institutional barriers were to transfer to the purchasing department, her current position at Tesla, Inc.
Tesla is not alone in its alleged imbalanced gender culture. Tensions at Uber emerged last week when former engineer Susan Fowler wrote a blog post in which she chronicled a year of work at Uber. In that narrative, she described a chaotic internal culture, a human resources department that made excuses for sexual harassment, frequent episodes where victims were blamed, and a pattern of promotions based on insider preference rather than data-driven performance. Uber CEO Travis Kalanick this week addressed a group of 100+ Uber female engineers to listen to their concerns. Kalanick offered some concessions during his meeting with the female engineers. “So I empathize with you, but I can never fully understand, and I get that. I want to root out the injustice. I want to get at the people who are making this place a bad place. And you have my commitment to make that happen.”
Vandermeyden says, “It’s shocking in this day and age that this is still a fight we have to have.” Her statement acknowledges that any company with more than 30,000 employees will necessarily have a small number of individuals who make claims against the company. Yet, “that does not mean those claims have merit,” the statement adds. “Equal pay is something that is essentially in the back of your mind every single day. You have all these data points showing how you’ve exceeded some of the predecessors and improved on the system. It wears on you.”
Tesla CEO Elon Musk found himself embroiled in another employment controversy earlier this month in which an employee complained of unfair working conditions and discussed how other workers have approached the UAW about possible unionization. Musk used Twitter to wonder aloud whether that complainant was fact or fake news, a Tesla employee or a UAW shill.
Vandermeyden admits she wonders about her future at Tesla. “Half the time when I walk into work, I wonder if my badge is going to work.”
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
