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Tesla’s Elon Musk details Model Y manufacturing improvements, insight on design
Tesla CEO Elon Musk recently revealed improvements the all-electric car maker has made to its production process for the Model Y crossover SUV. In an interview on Ride the Lightning podcast, hosted by Ryan McCaffrey, Musk discussed lessons learned from Tesla’s prior transition from the Model S to the Model X as applicable to the Model Y, as well as decisions made from the vehicle’s outgrowth of the Model 3. He additionally provided some insight on the design decisions behind the Model 3, which also carry over to the Model Y’s design.
Musk and McCaffrey’s discussion about the Model Y production process began with the question, “What are the biggest lessons learned from the Model 3 program that you’re applying to the Model Y?” However, Musk indicated that a more relative learning comparison came from Tesla’s design of the Model X and its departure from the Model S.
“The Model X ended up being a radical departure from the S…with the Model Y, we wanted to avoid the technology bandwagon we had with the X. It should have been easy going from S to X, but instead, it was hell because of so many new technologies…It would be too risky to the company to do that with the Y,” Musk explained.
I'm celebrating episode 200 of Ride the Lightning, my weekly @Tesla podcast, in THE BEST way possible: a 1-hour interview with @elonmusk himself! 🥳 I can't wait to share our conversation with all of you! It airs this Sunday, June 2 @ 9am ET/6am PT on major podcast services. 🚗⚡️ pic.twitter.com/V0nFrU03Ir
— Ryan McCaffrey (@DMC_Ryan) May 30, 2019
The Model Y crossover needed to address the flexibility expected of vehicles in its class such as cargo capacity, seating for 6 or 7 people, and more ride height than a sedan. Tesla addressed these features while also keeping in mind the effect on battery range a larger vehicle might have, according to Musk.
“We tried to make the car as similar to the [Model 3] as possible except in the case where a change was necessary to achieve SUV functionality…[all] while still having a low drag coefficient and not increasing the frontal area too much,” he detailed. Overall, Musk concluded that CdA (automobile drag coefficient) and mass of the Model Y only affect 8-10% of the battery range when compared to the Model 3.
The design of Tesla’s Model Y and lessons learned from Model 3 production also led to some manufacturing improvements for the electric crossover. Musk detailed how the Model Y underbody was switched to aluminum casting instead of stamped steel and aluminum pieces, which greatly simplifies the moving parts involved in making the vehicle.
This change effectively means that initially, using two castings to make the structure will take the process from 70 parts to 4 (castings plus joiners), and once the “big” casting machine comes into operation, the process will have brought the process from 70 parts to 1 (casting only). Using casting over stamping reduces the weight of the Model Y, improves MHB (heat produced), lowers cost due to the smaller number of parts necessary, and significantly drops capital expenditure on robots.

As for the manufacturing location of the Model Y, Musk said the decision was not quite final, but the default place was Tesla’s factory in Fremont, California, with the runner-up being Gigafactory 1 in Sparks, Nevada. Producing the Model Y in Fremont would be the fastest way to bring the crossover SUV into production, according to Musk. “One choice isn’t natural over other,” he said. Freemont is producing the Model 3 and the two vehicles share 75% of their components, but Gigafactory 1’s location has a lower cost of living, meaning an overall better value for Tesla.
The similarities between the Model Y and Model 3 being what they are, Musk also discussed with McCaffrey some of the design decisions that initially went into creating the Model 3. In response to the question, “What’s the toughest design decision you had to make on Model 3?”, the CEO cited two primary factors that went into the midsize sedan’s creation: the touchscreen and the nose design.
Reducing the number of screens from two in the Model S to one in the Model 3 came with some pushback, Musk explained. However, he felt that owners would prefer an open view of the road, and everything needed while driving could be fit onto one screen.
This background brought up community rumors about a heads-up display (HUD) being included in Tesla’s vehicles. On the subject, Musk set the record straight – there was never any plan to include a HUD, nor will one be added in the future. He simply doesn’t like them, and the move to self-driving makes them pointless. “We discussed it, but I’ve tried various heads up displays and found they were annoying,” he said. “We felt the car would increasingly go to self-driving…As things are approaching autonomy, why project things you don’t even care about on the screen?”

Something that customers do care about, though, is the look of their car. Musk detailed the difficulties in making an attractive design for the Model 3, which wasn’t easy thanks to the lack of a front grill on the vehicle. “You don’t want to have the nose to look like Voldemort…You’ve got to get some character or it does not look good.”
Also mentioned was the decision to reduce the width of the Model 3 to 185 cm over the 195 cm of the Model S to help sell more cars in Japan. The country’s parking machines only accept cars up to 195.4 cm wide, which leaves very little wiggle room in the manufacturing process to meet. The change to 185 cm meant that any Tesla Model 3 could fit in any parking garage in Japan.
The Model Y is set to begin production in 2020, and reservations are currently open on Tesla’s website.
Listen to McCaffrey’s full Ride the Lightning podcast interview here.
Elon Musk
Tesla owners keep coming back for more
Tesla has taken home the “Overall Loyalty to Make” award from S&P Global Mobility for the fourth consecutive year, reinforcing Tesla owners’ willingness to come back. The 2025 awards are based on S&P Global Mobility’s analysis of 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025. The complete list of 2025 winners includes General Motors for Overall Loyalty to Manufacturer, Tesla for Overall Loyalty to Make, Chevrolet Equinox for Overall Loyalty to Model, Mini for Most Improved Make Loyalty, Subaru for Overall Loyalty to Dealer, and Tesla again for both Ethnic Market Loyalty to Make and Highest Conquest Percentage.
Tesla’s streak in this category started in 2022, and the brand has now won the Highest Conquest Percentage award for six straight years, meaning it keeps pulling buyers away from other brands at a rate no competitor has matched. Tesla’s retention among Asian households reached 63.6% and among Hispanic households 61.9%, rates that significantly outpace national averages for those groups. That breadth of appeal across demographics adds a layer of significance to a win that some might dismiss as routine.
The timing matters too. After several consecutive quarters of decline, Tesla’s share of U.S. EV sales jumped to 59% in Q4 2025. That rebound, arriving just as competitors were flooding the market with new models and incentives, suggests Tesla’s loyalty numbers are not simply the result of limited alternatives. Buyers are still choosing it when they have plenty of other options.
What keeps Tesla owners coming back has a lot to do with the and convenience of charging. The Supercharger network is the most straightforward example. With over 65,000 Superchargers globally, it remains the largest and most reliable fast-charging network in the world, and owners who have built their routines around it face a real practical cost when considering a switch. Competitors have made progress, but the consistency, speed, and availability of Tesla’s network is still the benchmark the rest of the industry is chasing. Then there is the software side. Tesla has built a model where the car you own today is functionally different from the car you bought two years ago, through over-the-air updates that add continuous game-changing improvements such as Full Self-Driving that has moved from a driver-assist feature to an increasingly capable autonomous system. For many Tesla owners, leaving the brand means starting over with a car that will not get meaningfully better over time, and that is a trade-off fewer and fewer are willing to make.
News
Tesla Robotaxi service in Austin achieves monumental new accomplishment
Tesla Robotaxi services in Austin have been operating since last Summer, but Tesla has admittedly been delayed in its expansion of the geofence, fleet size, and other details in a bid to prioritize safety as new technology rolls out.
But those barriers are being broken with new guardrails being removed from the program.
Tesla has achieved a significant advancement in its autonomous ride-hailing program. As of May 4, the Robotaxi fleet in Austin, Texas, has begun operating unsupervised during evening hours for the first time. This expansion moves beyond previous limitations that restricted unsupervised service to daylight hours, typically ending in mid-afternoon.
Tesla Robotaxi in Austin is operating unsupervised in the evenings for the first time today.
Previously in Austin, unsupervised operation ended mid-afternoon
— Robotaxi Tracker (@RtaxiTracker) May 4, 2026
The change brings Austin in line with operations in Dallas and Houston. Those cities have supported evening unsupervised runs since their initial launches in April, and both recently received additions of new unsupervised vehicles to their fleets. This coordinated progress across Texas strengthens Tesla’s regional presence and provides a broader testing ground for the technology.
This milestone carries substantial weight in the development of autonomous vehicles. Extending operations into low-light conditions meaningfully expands the Robotaxi’s operational design domain (ODD)—the specific environments and scenarios in which the system is approved to operate safely without human intervention.
Nighttime driving presents unique technical demands: diminished visibility, headlight glare from oncoming traffic, reduced contrast for identifying pedestrians and lane markings, and greater variability in camera sensor exposure.
Tesla’s pure vision approach, powered by neural networks trained on vast real-world datasets rather than lidar or pre-mapped routes, must handle these variables reliably. Demonstrating consistent unsupervised performance after sunset validates the robustness of the end-to-end AI stack and its ability to generalize across diverse lighting conditions.
Beyond technical validation, the expansion holds important operational and economic implications. Evening hours often coincide with peak urban demand for rides, including commutes, dining, and entertainment outings.
Enabling service during these periods increases daily vehicle utilization, allowing each Robotaxi to generate more revenue while gathering additional high-value training data. Higher utilization accelerates the virtuous cycle of data collection, model improvement, and further ODD growth.
Looking ahead, this step paves the way for more ambitious rollouts. Success in low-light environments positions Tesla to pursue near-24-hour operations, potentially integrating highways and expanding into varied weather patterns. Regulators worldwide frequently demand evidence of safe performance across day-night cycles before granting wider approvals.
Proven capability in Texas could expedite deployments in planned cities such as Phoenix, Miami, Orlando, Tampa, and Las Vegas during the first half of 2026.
Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline
Moreover, scaling evening service supports Tesla’s long-term vision of a high-efficiency robotaxi network. Greater fleet productivity lowers the cost per mile, making autonomous mobility more accessible and competitive against traditional ride-hailing.
As the company iterates on software updates informed by nighttime data, reliability is expected to compound rapidly, unlocking denser urban coverage and longer-distance trips.
In summary, the introduction of an unsupervised evening Robotaxi service in Austin represents more than an incremental schedule adjustment. It signals a critical maturation of the underlying technology and sets the foundation for broader geographic and temporal expansion.
With Texas operations gaining momentum, Tesla is steadily advancing toward transforming urban transportation at scale.
Cybertruck
Tesla Cybercab just rolled through Miami inside a glass box
Tesla paraded a Cybercab in a glass display at Miami’s F1 Grand Prix event this week.
Tesla set up an “Autonomy Pop-Up” at Lummus Park in Miami Beach from April 29 through May 3, 2026, embedded within the official F1 Miami Grand Prix Fan Fest. The centerpiece was a Cybertruck towing the Cybercab inside a glass display case marked “Future is Autonomous,” rolling through the beachfront crowd.
Miami is on Tesla’s confirmed list of cities for robotaxi expansion in the first half of 2026, making the promotion a strategic promotion that lays groundwork in a target market.
This was not Tesla’s first time using Miami as a showcase city. In December 2025, Tesla hosted “The Future of Autonomy Visualized” at its Miami Design District showroom, coinciding with Art Basel Miami Beach. That event featured the Cybercab prototype and Optimus robots interacting with attendees. The F1 pop-up this week marks Tesla’s return to Miami and follows a pattern Tesla has been running since early 2026. Just two weeks before Miami, Tesla stationed Optimus at the Tesla Boston Boylston Street showroom on April 19 and 20, directly on the final stretch of the Boston Marathon, letting tens of thousands of runners and spectators meet the robot for free, generating massive earned media at zero advertising cost.
Tesla is sending its humanoid Optimus robot to the Boston Marathon
Tesla has confirmed plans to expand its robotaxi service to seven cities in the first half of 2026, including Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas, building on the unsupervised service already running in Austin. Musk has said he expects robotaxis to cover between a quarter and half of the United States by end of year. On the production side, Musk told shareholders that the Cybercab manufacturing process could eventually produce up to 5 million vehicles per year, targeting a cycle time of one unit every ten seconds. Scaling robotaxis to 10 million operational units over the next ten years is a key condition of his compensation package, alongside selling 20 million passenger vehicles.
As for the Cybercab’s price, Musk has said buyers will be able to purchase one for under $30,000, with an average operating cost around $0.20 per mile. Whether those numbers hold through full production remains to be seen.
Cybercab at F1 Fan Fest in Miami
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