Hey everybody. Welcome back to the Elon Musk Podcast. This is a show where we discuss the critical crossroads that shape SpaceX, Tesla X, The Boring Company and Neurolink. I'm your host, Will Walden. Tesla just took the next step in its robo taxi roll out by officially launching A dedicated ride Hamming app and opening access to the service for the public in a growing number of
U.S. cities. The company moved from limited internal tests to a broader pilot program that now lets regular users hail self driving Teslas through a stand alone app. That shift raises one big question though. How does Tesla plan to scale this while still being years away from regulatory approval for full autonomy? Now Tesla made the new robotaxi experience available in select locations, including parts of Austin and San Francisco, where it already had heavy full Self
driving beta penetration. Users can now download the test the Ribotaxi app, request rides, and experience a system in vehicles that still include a safety driver. Tesla quietly confirmed the launch during its most recent event, but is letting the app speak for itself and has the same clean interface as Tesla's car UI, and its back end is reportedly built on top of the existing Tesla app
infrastructure. Now, Tesla designed the system to mimic the flow of Uber or Lyft with trip estimates, driver rival tracking, and an option to rate the experience. What it doesn't have as a fully autonomous vehicle yet though, Tesla still requires a person to monitor behind the wheel, and in most cases, that driver can intervene instantly. That reality hasn't stopped Elon Musk from saying publicly that robo taxis will soon be the core of Tesla's revenue model.
Internally, Tesla teams are treating the soft launch as a real world simulation of what the final service might look like. This isn't just another rollout,
though. Tesla filed to operate as a transportation network company at TNC in multiple states, including California and Texas. To legally run a commercial ride Handling service of that legal framework means Tesla now has to play by the same operational rules as Uber and Lyft, including safety monitoring, incident reporting, and vehicle
compliance standards. Tesla is currently operating under a limited pilot designation which allows for human supervised testing without the fully autonomy certification that Cruz and Waymo had to obtain. You know, Musk keep saying full autonomy is just around the corner, but that corner keeps moving. Tesla has yet to prove that it's FSD stack can handle every driving scenario without intervention.
In a recent months, the company has started emphasizing supervised autonomy instead, framing the robotaxi program as a way to collect scale data while still having a human on board, and the current app rollout reflects that shift. Tesla is gathering real world user behavior, right acceptance data, and edge case driving scenarios while still operating
within legal limits. Tesla stock reacted immediately to this launch, of course, with bulls pointing to the app as the first clear sign that Tesla is moving beyond hardware sales. Tesla can convince regulators, investors, and consumers that its software can generate ride hailing revenue at scale that would validate years of promises by Elon Musk. The company has long argued that its valuation depends less on cars sold and more on monetizing autonomous models.
And with the app in market, Tesla can now start showing real usage numbers, even if they still come with a human chaperone on board. Now critics point out that other self driving companies have already been Tesla to full autonomy, at least in limited zones. Waymo and crews received permits for fully driverless operations in parts of San Francisco and Phoenix. Tesla, meanwhile, still operates with a safety driver in every
robo taxi. And the difference is Tesla's decision to skip lidar and HD mapping in favor of a provision approach, which it claims will scale more easily over time. And that choice has made regulators hesitant. And there's still no timeline for when Tesla will apply for driverless permits. Tesla's real differentiator is scale. The company already has millions of cars on the road with FSD capabilities.
If it ever flips the switch on unsupervised mode, it could instantly convert a huge percentage of its fleet into revenue generating robo taxis. That's the core of the bull case. Even though today's service still includes a human monitor, infrastructure now exists to turn every FSD enabled Tesla into a ride handling vehicle with a software update. At the same time, Tesla faces new technical and legal challenges that could slow that
vision. Recent investigations into the safety of FSD has raised questions about its ability to meet the standards required for driverless operation. Tesla is still under review by multiple regulatory agencies, and its own crash data hasn't fully cleared the skepticism
around system reliability. Now, unlike Cruise, which faced a temporary shutdown due to safety concerns, Tesla is trying to walk the line between public testing and regulatory compliance without making major public concessions. Now, the app launch also exposes Tesla to a new category of user feedback that it hasn't had to deal with before.
Passengers are now experienced the FSD system from the backseat, which means every slow turn, awkward lane merge, or stop sign hesitation get scrutinized in a way that normal drivers might ignore. Experience may feel novel right now, but Tesla will need to refine both the system behavior and the overall rider experience if it wants to be on par with Uber and Lyft and I'll. Tesla's timeline for going fully
driverless remains undefined. The company has yet to submit a formal application for driverless operation in most states. Sources inside the California Public Utilities Commission say they haven't received a full autonomy filing from Tesla. And until that changes, the Robotaxi app will stay in hybrid mode, the safety drivers on board and data flowing back to Tesla HQ for system refinement.
The app state BU creates the framework for a service that could eventually scale, but the technology inside the car still has to meet the legal and performance threshold for unsupervised operations. Tesla has moved from promises to partial roll out, but the leap to full autonomy remains unproven. Hey, thank you so much for listening today. I really do appreciate your
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