News
Tesla’s manufacturing advantage lies in legacy auto’s stranded assets
Tesla’s focus on manufacturing has solved a vast number of issues that the electric automaker has encountered in its first few years of mass-scale vehicle production. With only two operational vehicle production facilities and several more on the way, Tesla’s biggest advantage in production doesn’t necessarily come down to efficiencies and solving bottlenecks. Instead, it has to do with something completely out of its control: Legacy Auto’s stranded assets.
Large vehicle manufacturers have pumped out millions of vehicles per year in sometimes between 50 and 100, sometimes more, global facilities. Volkswagen, for example, has 136 production plants across the world. This massive production operation lead to 9.3 million VW cars being delivered in 2020, a slight decrease from the nearly 11 million in 2019. However, the COVID-19 pandemic surely wiped away some of its productivity and sales.
But Volkswagen is also in limbo, much like many other automakers. Despite being one of the world’s top brands, a decline is on the way if the German company can’t figure out its electric car software issues. Even if it does, it still has 136 production plants and only a few of them build electric cars. However, all of the company’s plants will need to be transitioned into EV production facilities, a far cry away from the current gas-powered powertrains it currently builds at 98% of its properties.
It’s not just Volkswagen
Mercedes-Benz has 93 locations in 17 countries. BMW has 31 facilities in 15 countries. Ford has 65 plants all across the world.
These plants have been everything to the world’s largest car brands for decades. While the automotive industry has been powered on petrol for 99% of the auto industry’s history, EVs are slowly but surely making their way into the picture. Eventually, with so many plants for the legacy automakers, they will all build electric powertrains. But unfortunately, what has been a strength for so many car companies in the past will soon become a burden as EVs take over market share, become more appealing and more sought after by consumers, and gas cars are few and far between because electrification has taken over. The biggest, most successful, most popular badges on vehicles worldwide will soon have a serious problem on their hands if they do not think about a plan to transition these facilities into EV manufacturing plants.
Time is of the essence
Volkswagen did complete ICE production at its Zwickau plant in Mosel, Germany, in June 2020. After the company announced that the final gas-powered engine had rolled off production lines at the plant, it then came down to training all technicians, assembly workers, and production engineers on how to deal with electric powertrains.
The company stated that 20,500 total days of training time would be given to those who hold jobs at Zwickau, giving the employees no reservations about the direction the German automaker was headed toward. The entire process of transitioning the plant took six to eight months.
This is great, but when a company has 136 plants, that’s a lot of time, many people to train, and a lot of money to spend. Eventually, the plants that have pumped out billions of dollars worth of ICE cars will be rendered useless unless companies begin to update their hardware, train the employees, and prepare for an electric future.
Is delaying EV projects a result of stranded assets?
Companies are smart; there are plenty of reasons why these car companies have long been at the top of the industry. Knowing that the trillions of dollars that they have pumped into building a global powerhouse of production facilities could all be a waste as ICE cars are slowly being phased out is alarming, but perhaps this is why so many companies have avoided focusing on EVs: the thought of modifying so many plants is terrifying.
Nevertheless, it will need to be done eventually. But right now, especially in such a trying economic time, manufacturers are trying to save their faces and their balance sheets by keeping this narrative that EVs are not that important, that gas cars will still dominate, and that consumers should continue to buy petrol-powered machines. Manufacturers continue to push consumers in a direction, even if they know it doesn’t align with climate issues or sustainability because they know that their plants will need major updating. This takes time and money, and car companies don’t have a lot of that.
Tesla Model Y loses another rival after BMW cancels iX3’s US launch
For these legacy automakers, it makes more sense to push gas cars onto consumers and set aside any notions of an EV being a better option, simply because they haven’t made one that is worth a damn…yet.
How is this Tesla’s Advantage?
Tesla is sitting in a prime position to dominate the EV sector for years to come. It is no secret that the company’s vehicles are the highest quality electric cars on the planet; range and performance and contributed to this for several years. However, EVs are the way of the future, and while Tesla has to build new plants to build EVs, it isn’t building them at the massive scale that ICE manufacturers are building their cars. EVs are still a relatively small portion of the worldwide automotive market, and Tesla’s growth is on par with the industry as a whole, mostly because they are controlling it for the time being.
Tesla won’t have to build 136 plants. It won’t have to transition old factories that are pumping out useless powertrains. It will have to build more, but that won’t halt production altogether, especially considering the two factories it has now are handling demand without much of an issue.
Tesla’s plants are going to be assets for centuries to come. Meanwhile, other automakers have focused on the global scaling of their vehicle fleets, only realizing that their strategically placed production plants will all be useless in a few years unless companies begin transitioning their once high-powered manufacturing facilities to EV-based production lines.
What do you think? Leave a comment down below. Got a tip? Email us at tips@teslarati.com or reach out to me at joey@teslarati.com.
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
