News
Tesla’s intense work culture is a perfect fit for the industry’s most driven workers
Tesla, just like SpaceX, operates under Silicon Valley principles. While this enables Tesla to evolve faster than traditional automakers, such a system also requires employees to continuously dig deep in order to accomplish targets. When SpaceX was starting out, its recruiting pitch was simple — it was the “special forces” in the space industry — and it was this pitch that attracted talent who are hungry and motivated enough to help the company achieve its milestones over the years.
The same is true for Tesla. The electric car maker has been around for 15 years — a short period of time considering the pedigree of rival automakers — but the company has already established itself as a leader in premium electric vehicles. Such growth and progress did not come easy, though, with Elon Musk openly admitting to tech journalist Kara Swisher at an episode of the Recode Decode podcast that milestones such as the Model 3 production ramp were only made possible due to “excruciating effort” and “hundred hour workweeks by everyone.”
Such an intense work culture has attracted a lot of detractors. Critics have accused the company of overworking its employees, as reflected in multiple critical exposes published about Tesla’s operations this year alone. One of the executives who left Tesla, former Chief Accounting Officer David Morton, also cited the company’s pace of work as among the reasons behind his departure. With its intense work culture, ambitious targets, and its frenetic pace, Tesla’s work environment is definitely not for everyone.
As revealed by data from Handshake, a student career-services app, though, it is exactly this type of intensity that makes Tesla attractive to young, driven applicants. Handshake noted that Telsa received more job and internship applications than any other company listed on the app in the 2016-2017 academic year. Last year alone, Tesla collected almost 500,000 applications, which is about double the volume it received in 2016. In a statement to The Wall Street Journal, Cindy Nicola, vice president of global recruiting at Tesla, noted that the company had already received more applications to date this year than it did in all of 2017.
“Our interest from candidates continues to grow year over year,” she said.
Part of Tesla’s allure among young job applicants is the company’s mission — to accelerate the world’s transition to sustainable energy — as well as the passion of its CEO, Elon Musk, a hands-on leader known to work long hours with his employees when needed. Kiran Karunakaran, who worked as an engineer at Tesla before he moved to Seattle, noted to the WSJ that before he was employed by the electric car company, he received a job offer from Apple. The iPhone-maker’s $115,000 per year offer was superior to Tesla’s 95,000 a year offer, but according to the engineer, the decision for him was a no-brainer.
“What really attracts young people to Tesla is instant gratification. You see these incredible things you’ve worked on come to fruition, on the road, in months,” he said.
Tesla’s attractiveness among applicants extends well into its internship program. For interns, the company’s flat organizational structure provides them with an opportunity to exercise their ideas and be heard. Anusha Atluri, a student from Carnegie Mellon University’s Tepper School of Business who worked as an intern at Tesla this past summer, experienced this firsthand. She worked at Tesla at a time when the company was ramping Model 3 production, and partway through her internship, she came up with an idea that could speed up the electric sedan’s lines.
The intern presented her idea in a Powerpoint presentation to her team, and it was well-received. She initially planned to discuss her suggestions with management the following week, but Tesla opted to implement her suggestions the next day. By the following week, the line was running more smoothly. “They were like, why not just try it tomorrow?” she said in a statement to the WSJ.
While the demanding hours and ambitious targets in Tesla could be exhausting, some workers have found themselves being underwhelmed in other companies after a tenure with the electric car maker. An engineering manager, who opted to remain anonymous, noted that she actually left Tesla after having a baby. When she was ready to get back on the workforce, she accepted an offer from a large tech company. Eventually, though, she felt that she was not a good fit. It did not take long before the engineering manager decided to go back to Tesla’s high-intensity environment.
“It isn’t just about working less. Everybody should have more work than they can possibly finish at all times. It forces the person to draw the line on when they give up—when they say, I’m done for the day. At Tesla, you have to achieve some kind of comfort knowing you didn’t do it all,” she said.
Elon Musk has noted that Tesla probably has the most exciting product roadmap in the market today. With exciting new electric cars and energy products in the pipeline, the company is bound to grow and expand its workforce even more. The company would most likely demand long hours and ambitious targets for its employees for years to come. Despite this, the company would likely continue to attract the most driven individuals that the talent pool has to offer — individuals that, just like Elon Musk, thrive in the face of pressure.
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
