Tesla Shares Robotaxi Details: 10-20 Cars at Launch, Vehicle UI and App Teased

April 25, 2025

By Karan Singh

Not a Tesla App

Tesla’s long-awaited ambitions for a fully autonomous Robotaxi network powered by the futuristic, control-less Cybercab have finally started to take shape.

During their Q1 2025 earnings call, Tesla shared new details about its Robotaxi network, including that the network will start with new Model Ys. The Cybercab will join the network in 2026.

Robotaxi Plans

Tesla confirmed during the Earnings Call that it is on track to conduct the pilot launch of its Robotaxi network in Austin in June 2025. The first vehicles deployed for this service won’t be Cybercabs, as production for those is still in the prototyping stage.

However, Tesla did outline part of their plan for the Robotaxi network rollout. The initial aim is to begin driverless operations in Austin and then expand the service to other cities within the United States by the end of 2025. Interestingly, Tesla is also testing in California - albeit with safety drivers at this time.

Not a Tesla App

Looking further ahead, there are ambitious plans to ramp up operations to have millions of vehicles operating autonomously within the network by the end of 2026. While substantial revenue generation won’t be immediate, Tesla anticipates that the Robotaxi network will start to “meaningfully move the financial needle” in the second half of 2026.

Tesla also highlighted the current real-world benefits that FSD is already offering today—and will be able to offer to many more people in the near future.

These include reducing effort and time spent on daily commuting or transit, as well as improving mobility for customers with disabilities. Tesla plans to emphasize some of these community stories and wants to highlight the advantages and capabilities of FSD to improve people’s lives.

Robotaxi App and Robotaxi Vehicle UI

Not a Tesla App

After the call, Tesla AI also shared a video showcasing the Robotaxi interface in the Tesla app, as well as some footage that included the in-vehicle UI, at least as it currently stands.

The video shows Tesla employees using and testing Robotaxi features, although there are safety drivers in place. It looks like there is already a set of well-integrated UI mechanisms for both the front and rear screen when in Robotaxi mode.

Tesla is testing this today, and this network has already completed 1,500 trips, totaling approximately 15,000 miles. The system is being tested for vehicle allocation, mission control, and remote assistance operations.

Remote Operators

Inevitably, edge cases or unique situations will come up, and they will be difficult to handle. For these cases, where a Robotaxi vehicle gets stuck or requires assistance, Tesla will likely implement remote support.

While they didn’t completely confirm remote support operators on the Earnings Call, Tesla has previously posted positions for Teleoperator Engineers for Robotaxi, and an AI T=team member posted on LinkedIn about testing for remote assistance operations.

Scaling Up

Tesla initially intends to deploy a relatively small fleet in Austin, with its pilot beginning with about 10 to 20 vehicles on day 1. They will scale up gradually as the systems are validated and operations are refined, and the target is for anyone visiting Austin to be able to hail a robotaxi by the end of June or early July 2025.

Scaling Out

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Tesla’s confidence in scaling out stems from its generalized approach with FSD. The team believes that once FSD is thoroughly verified and capable in a few diverse North American cities, deploying it to any other North American city should be technically feasible. After all, driving regulations don’t vary much from one major city to another, except for things like no right turns on red lights.

The primary limitation with scaling out geographically is expected to be securing regulatory approvals in different regions and jurisdictions. While the principles of Tesla’s FSD are expected to apply globally, as with the China rollout, regulation will continue to be a considerable hurdle.

Cybercab

FSD Supervised ride-hailing service is live for an early set of employees in Austin & San Francisco Bay Area.

We've completed over 1.5k trips & 15k miles of driving.

This service helps us develop & validate FSD networks, the mobile app, vehicle allocation, mission control &… pic.twitter.com/pYVfhi935W
— Tesla AI (@Tesla_AI) April 23, 2025

Tesla’s fully autonomous, two-seater vehicle, the Cybercab, is also being developed. While volume production for the Cybercab won’t begin until 2026, Tesla is already undergoing sample production validation. The first actual Cybercab builds are expected to be completed near the end of Q2 2025, and we’re excited to see if anything changes from the prototypes shown at We, Robot.

Tesla intends to build Cybercab at Giga Texas, and the production line is on schedule, according to Tesla. Cybercab production will not require a new building and will be built inside the existing Giga Texas factory.

Unboxed Method

Tesla's Shareholder Deck for Q1 2025 is now out, and we're 40 minutes away from the Earnings Call.

It seems Tesla won't be using the unboxed process for its more affordable model - which is a new vehicle.

Instead, they plan to use it for Cybercab soon! pic.twitter.com/0yddfWieJQ
— Not a Tesla App (@NotATeslaApp) April 22, 2025

The Cybercab’s production and low-cost methodology heavily rely upon Tesla’s innovative new unboxed manufacturing method. Tesla’s executive team mentioned that progress and implementation with this new manufacturing solution was going well, and it will be key to lowering the cost of production while considerably raising the level of automation.

Tesla has already achieved key milestones with this method, including successfully integrating large sub-assemblies and resolving challenges related to connecting portions of the vehicle's ceiling during the process. They have also successfully completed corrosion testing related to the new assembly method, as well as begun initial crash testing for the Cybercab.

All of that and more will eventually be incorporated into other vehicle production lines, and the Cybertruck is already benefiting from some aspects of these developments. With a final ambition of achieving a 5-second cycle time per Cybercab, Tesla has come a long way—but it still has quite a bit to go. They’ve managed to meet a 33-second cycle time for the Model Y at Giga Shanghai between two production lines, but 5 seconds per vehicle is quite ambitious.

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With all that said, between Robotaxi and Cybercab, there is a lot of interesting news coming from Tesla. We expect this to continue throughout the year as Tesla launches its network and then aims to release FSD Unsupervised to customers, with a potential price increase.

Tesla Denied “Robotaxi” Trademark for Autonomous Vehicles

May 10, 2025

By Karan Singh

Not a Tesla App

Tesla’s plan to brand its autonomous network of taxicabs has found an interesting little snag. The US Patent and Trademark Office (USPTO) has issued a “nonfinal office action” regarding Tesla’s application to trademark the term “Robotaxi” specifically in connection with autonomous electric vehicles.

This is an initial refusal by USPTO’s examining attorney and is very particular for autonomous electric automobiles. A separate trademark application by Tesla for the term “Robotaxi” as it relates to its upcoming autonomous ride-hailing service is still under examination and has not yet received a similar rebuttal.

Understanding the Refusal

A “nonfinal office action” means the USPTO has found potential issues with the trademark application, as stated, which prevents its immediate approval and subsequent granting to Tesla. Tesla now has a three-month period to file its counterarguments and address the USPTO's concerns.

If Tesla’s response satisfies the examiner, the trademark could be granted.

While the exact content of the office action isn’t detailed in the initial report, such refusals for terms like “Robotaxi” often occur if the USPTO considers the term “merely descriptive” or “generic” for the goods in question. In this particular context, “Robotaxi” could refer to any autonomous taxi vehicle.

Trademark law generally prevents the exclusive registration of terms that competitors would need to use to describe their own similar products. For a term to be trademarked, it typically needs to be distinctive and act as a brand identifier rather than just a descriptive name of the product’s class or type.

Separate Application for Ride-Hailing

Tesla still has a distinct, separate, and still pending application to register “Robotaxi” as a trademark for “transportation services, namely, autonomous ride-hailing services.” The criteria for trademarking a service can differ from those on trademarks for goods, and it’s possible Tesla may have more success securing the name for the service itself, which would allow them to brand the network as “Tesla Robotaxi.”

Why This Matters

Securing a trademark grants exclusive rights to use a brand name in conjunction with specific goods or services. This helps prevent customer confusion and to protect the brand identity.

If the refusal for the vehicle trademark becomes final, Tesla may be limited in its ability to exclusively name a good (specific vehicle) the “Tesla Robotaxi.” Other manufacturers could also potentially use “robotaxi” descriptively for their own autonomous taxi vehicles.

The ability to trademark “Robotaxi” for the ride-hailing service is arguably more critical for Tesla, as they’re working to establish a unique brand for their autonomous transportation network, which kicks off in Austin next month.

The USPTO’s office action won’t hinder Tesla’s ability to develop or deploy its own vehicles in June - instead, it’ll just impact how Tesla can brand the app and their vehicles, which could cause some last-minute delays if they have to rebrand.

Cybercab and Robovan/Robobus Trademarks

While Tesla is facing challenges with the broader Robotaxi term for vehicles, the company is also seeking to trademark “Cybercab,” “Robovan,” and “Robobus.” Securing a less descriptive name for the vehicle itself often has a higher chance of success with USPTO, as it is far more distinctive than a more general term like “robotaxi.”

Why Didn’t Tesla Do This Years Ago?

Tesla may have waited too long to file a trademark for the term “Robotaxi.” While the company has been discussing a self-driving fleet since 2016, the concept of autonomous taxis has gained a lot more traction in recent years — and competitors like Uber have also begun using the term.

We suspect there was some strategic timing behind these filings. Earlier versions of FSD — particularly those prior to V12 — may have lacked the progress needed to support Tesla’s robotaxi ambitions. Filing for a trademark that isn’t actively in use or about to be used can make it harder to defend or retain.

Moreover, while the idea of autonomous vehicles has been around for years, a clearer public understanding of Tesla’s specific plans has only emerged over the past 18 months. Filing too early can trigger speculation long before the company is ready to reveal details.

Ultimately, whether Tesla secures the rights to “Robotaxi” remains uncertain — but trademarks like “Cybercab” and “Robovan” seem much more likely to stick.

Tesla Launches AI Agent to Improve Tesla Service Communications

May 9, 2025

By Karan Singh

Not a Tesla App

One of Tesla’s greatest weaknesses, as it has quickly become one of the world’s most ubiquitous cars on the planet has always been service. Escalating issues to managers and sometimes even reaching a Tesla Service employee can be a total coin flip, depending on your Service Center.

Tesla is continuing its push to integrate AI across its customer support channels in an effort to improve customer service. According to Raj Jegannathan, Tesla’s VP for IT, AI Infrastructure, Apps, Infosecurity, and Vehicle Service Operations (that’s a lot), Tesla is launching a pilot program for a new AI designed to improve customer interactions with Service.

This new initiative follows other recent AI deployments across Tesla’s customer-facing channels, including the personalized AI assistant within the Tesla App, the ability to ask questions to AI on Tesla’s website, and the biggest one, the new voice-based AI customer representative introduced for Tesla Insurance.

Tesla Service’s new AI Agent detects comms delays, monitors sentiment, & auto-escalates to leaders. Starts tomorrow at 10 pilot locations. In 2 weeks, type “Escalate” in ‘message center’ to reach managers. Guardrails in place to prevent abuse. We’ll keep improving!
— Raj Jegannathan (@r_jegaa) May 8, 2025

Proactive AI Support

At 10 pilot service locations, this new AI agent will begin working behind the scenes at Tesla Service, to help with customer communications. It will provide three key features:

Detect Communications Delays: The AI will actively monitor service interactions to identify potential delays in communication or progress. These are often a key pain point for customers who reach out to Tesla Service and don’t receive a response for several days, as Service has nothing new to add. The AI can now step in and let the customer know Tesla is still waiting on parts or something else.

Monitor Customer Sentiment: By monitoring the tone and content of the messages between the customer and Service agents, Tesla will be able to identify situations where a customer might be dissatisfied or facing difficulties.

Auto-Escalate: If either a communications delay or negative sentiment is detected, the AI can automatically escalate issues to human managers for review. This helps to address problems before customers need to seek escalation themselves or become upset about an issue.

Customer Escalation Requests

Alongside the new AI tool, Tesla is also introducing a more direct way for customers to get higher-level attention. According to Tesla, within the next two weeks, customers can simply type “Escalate” in order to have their issue routed directly to management.

Raj’s team is currently working on implementing guardrails to prevent abuse, but this will soon make its way to improving Tesla’s service offerings. We’re glad to see Tesla taking steps to identify and correct deficiencies in the process - it has always been a sore tooth for Tesla in the last few years.