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Uber CEO Dara Khosrowshahi recently spoke at the Future Investment Initiative Institute Priority conference, where he discussed Tesla’s robotaxi network and its integration with Cybercabs. While Tesla has said that it would sell Cybercabs directly to customers in addition to adding them to the Robotaxi network itself, Khosrowshahi said that Musk is not open to adding Cybercabs to Uber’s platform.
They want to build it alone, so to some extent in Austin, we and Waymo will be competing with Tesla when they launch. — Uber CEO
Tesla App, not Uber App
Tesla is developing its own app to launch the Robotaxi network. While Tesla itself has not said it would be against partnering with Uber or other rideshare platforms, it certainly doesn’t want to rely on them for any parts of the process. The Robotaxi network will initially roll out in Austin, Texas, with Tesla’s Cybercab fleet set to hit the roads this June.
Tesla’s executive team has repeatedly emphasized—both during the Q4 2024 Earnings Call and at other events—that their vision for autonomy requires full control over the entire user experience. From summoning a ride in the Tesla app to the Cybercab arriving, transporting passengers, and completing the trip, every aspect of the journey is meant to remain under Tesla’s control.
The Flipside
There are some advantages to integrating Tesla’s autonomous vehicles with Uber’s platform, and Khosrowshahi highlighted them. Economically, it would make sense—Uber already has a massive, established user base, something Tesla currently lacks.
Tesla will be entering a competitive market where riders are already accustomed to using platforms like Uber, which has their payment information stored and ready to go. Convincing users to switch to Tesla’s in-house Robotaxi service could be a challenge. While the novelty of Tesla’s offering may attract some early adopters, long-term success will require a shift in consumer habits.
However, let’s not underestimate what motivates consumers. If Tesla can make their rides more convenient, safer, or drastically cheaper, consumers will quickly adapt.
Tesla’s Advantage
To maintain momentum beyond the initial novelty, Tesla must deliver an exceptional end-to-end experience. Otherwise, riders may revert to familiar services after trying out Tesla’s robotaxis. This could be one of the rare instances where Tesla needs to move cautiously rather than embracing its typical “move fast and break things” approach. Public acceptance of autonomous vehicles remains limited, and widespread adoption will require a combination of education, reliability, and a seamless user experience.
Fortunately, Tesla is well-positioned to meet these challenges, and the Cybercab is designed with the average rideshare user in mind. With a spacious, comfortable, and easy-to-clean interior, it offers a premium experience—without the premium price tag.
Tesla has stated its goal of lowering the cost of Robotaxi rides to as little as eight cents per mile—an incredibly low figure, even compared to subsidized public transit in major cities. If Tesla can achieve this price point, affordability will become a major selling point, long after the novelty factor fades.
Ultimately, Tesla’s Robotaxi service has the potential to be a game-changer. While excitement and curiosity may drive early adoption, it’s the economic advantage—offering a lower-cost alternative to Uber and traditional rideshare services—that will keep customers coming back.
Tesla’s latest vehicles, including the Cybertruck, Cybercab, and the refreshed Model Y, now feature a front bumper camera. However, as of FSD v13.2.8, the Cybertruck’s bumper camera remains unused for FSD and primarily serves as a helpful tool for parking and off-road driving.
With bumper cameras becoming more common across Tesla’s lineup, the question remains: will they eventually become a necessary component for Unsupervised FSD, or are they simply an added convenience for now?
Actually Smart Summon Needs Bumper Vision
Not a Tesla App
Every Tesla model that has the ability to use Actually Smart Summon occasionally rolls slightly forward or backward before exiting a parking stall. This movement helps the vehicle get a better view of what’s directly beneath the front lip of the hood before proceeding.
However, this behavior has led some vehicles to make contact with walls or posts, prompting the NHTSA to launch an investigation into Actually Smart Summon. The simple solution is to mount a lower front camera that allows the vehicle to see what’s directly in front of it when it wakes up.
The Cybertruck currently lacks access to Actually Smart Summon—or any Summon functionality, for that matter. Tesla hasn’t announced when the vehicle will receive one of its most advanced autonomy features. Given the vehicle’s height and its larger front blind spot, the delay likely stems from the need to integrate the bumper camera for improved visibility.
At the end of the day, Actually Smart Summon is essential for Unsupervised FSD. A fully autonomous vehicle must be capable of navigating crowded parking lots, reaching pickup points, and parking itself without human intervention.
Training Data and Cameras
We already know that adding a new vehicle to FSD can take months—but what about integrating training data from an entirely new camera and perspective? That process could take even longer, especially with a vehicle like the Cybertruck, which is larger and wider than Tesla’s other models.
We also know that the Cybercab—set to launch in Austin in just a few months—features a bumper camera to improve visibility below the front lip. Tesla doesn’t add new components without purpose; every part, from the camera and wiring to the housing and engineering, represents a calculated investment.
Given this, it’s reasonable to expect that Tesla is already using bumper camera data from the Cybertruck—and soon, the refreshed Model Y—to train an updated FSD model. Whether this model is focused on parking lot navigation and Actually Smart Summon or expands to broader FSD improvements on city streets and highways remains to be seen.
Compute and AI5
Tesla has already stated that the AI4 computer has unused compute power, but they’re running into memory limitations in future FSD builds due to the sheer volume of incoming data. That said, Tesla has hinted at optimizations to better manage memory on AI4.
Would integrating data from an additional camera overwhelm the system? Probably not in terms of compute, but memory efficiency remains a key area for improvement—especially as Tesla plans to triple both the model size and context window in upcoming FSD versions.
On the other hand, the Cybercab is set to launch with its own unique, more powerful AI5 computer. At the We, Robot autonomy event in October, Elon Musk confirmed that AI5 was designed for redundancy and higher safety. Tesla has been working on parallelizing FSD computations for some time—but we’ll explore that in a separate article.
Wrapping it Together
Putting it all together: the bumper camera has arrived, and Tesla doesn’t add hardware without a purpose. While it’s not yet in use for FSD, Tesla is likely gathering footage to train future models. The AI4 computer has the compute power to handle an additional data stream—but will Tesla actually integrate it?
If we were to go out on a limb, we’d say that Unsupervised FSD will likely require a bumper camera to be part of the Robotaxi network, but there’s another compelling reason. Tesla currently offers Supervised FSD for subscription and sale - but you can no longer buy FSD the way it used to be marketed. That changed back in September 2024, when they made adjustments to all their websites globally to list Supervised FSD as the product and feature that was being sold. That could have an impact on Tesla’s future plans with how they offer Unsupervised vs Supervised FSD.
So, will a bumper camera be necessary? We think so. Will it be a retrofit? Possibly. Tesla has already confirmed that they will retrofit HW3 vehicles with improved hardware in the future, meaning that other FSD hardware upgrades aren’t completely off the table.
However, retrofitting a bumper camera is complex, requiring extensive disassembly, wiring through the frunk, firewall, and into the AI computer. It’s possible that the camera will primarily be used for low-speed parking lot maneuvers—where supervision will be required—while Unsupervised FSD will only be available while driving on city streets and highways. The largest issue is simply what happens if the vehicle was asleep, and it can now only leave by driving forward — where it has a large blind spot.
While the exact role of the front bumper camera remains uncertain, its presence in newer models suggests it could be critical for a. fully autonomous vehicle. Whether it becomes a requirement for the vehicle to start driving from a parked position without anyone inside the vehicle, or whether it’ll only be required in parking lots or even to become a part of the Robotaxi network remains to be seen.
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