Tesla rolls out small-scale robotaxi service using Model Y
Tesla will launch a small-scale paid robotaxi service in Austin, Texas, on June 22.
The service will use a limited number of Model Y SUVs operating within a designated area.
Each vehicle will have a Tesla safety monitor in the front passenger seat, with the driver’s seat unoccupied.
It will avoid operation during bad weather and complex intersections and will only accept riders aged 18 and older.
This initiative aims to test Tesla’s autonomous vehicle technology in a public setting.
Elon Musk has promoted robotaxis as key to Tesla’s future.
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Tesla’s limited Austin launch represents a stark contrast to Elon Musk’s earlier, far more ambitious timelines for autonomous vehicles.
Musk promised one million self-driving robotaxis would be operational by 2020, claiming they could generate up to $30,000 in annual revenue per vehicle for owners1.
Before that, in 2017, Musk had committed to demonstrating a fully autonomous coast-to-coast trip that never materialized2.
This pattern continued in 2019 when Musk claimed Tesla’s “full self-driving” feature would be “feature complete” by year’s end, allowing cars to navigate from parking lots to destinations without human intervention3.
The reality of this measured rollout, with limited geography, safety monitors, and avoidance of challenging conditions, reflects the technical complexities that have consistently forced Tesla to scale back its autonomous driving promises over the past eight years.
Tesla’s camera-only approach to autonomous driving represents a fundamental departure from industry standards, with Musk dismissing Lidar as “unnecessary” and “expensive”4.
In contrast, competitors like Waymo and Cruise employ multiple sensor technologies, including Lidar, radar, and cameras, creating redundant systems that can cross-verify environmental data4.
This technological divergence has significant business implications: Tesla’s approach potentially offers cost advantages if successful but faces greater technical hurdles in poor visibility conditions that Lidar systems can better handle5.
Waymo has methodically logged over 20 million real-world autonomous miles plus a billion simulated miles, while Tesla claims its advantage comes from data gathered across its fleet of 4 million vehicles equipped with Autopilot technology6.
These different technological philosophies reflect deeper contrasts in development approaches—Tesla’s iterative consumer release strategy versus Waymo’s more controlled, methodical deployment of purpose-built autonomous vehicles.
Despite Tesla’s outsized valuation and robotaxi ambitions, the company enters a market where competitors have already established commercial services with significant scale.
Waymo currently conducts approximately 150,000 paid robotaxi trips weekly across multiple cities, operating a fleet of over 700 vehicles with demonstrated safety records78.
Cruise, despite facing a regulatory shutdown following safety incidents, had accumulated more than 10 million driverless miles before its operations were curtailed68.
The competitive landscape is further complicated by rapid advancement in China, where several companies are actively testing and deploying robotaxi services7.
Tesla’s cautious approach, using safety monitors and operating in limited areas, reflects not just technical prudence but the reality of a maturing market with established services that have already navigated the regulatory and operational challenges Tesla now faces.
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