
The active Tesla Robotaxi fleet in the United States has shrunk to 20 unsupervised vehicles amid safety concerns and high crash rates. Scaling has been delayed until late 2026 as the company awaits critical software updates.

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The active Tesla Robotaxi fleet in the United States has shrunk to 20 unsupervised vehicles amid safety concerns and high crash rates. Scaling has been delayed until late 2026 as the company awaits critical software updates.
Recent data from the Robotaxi Tracker indicates that the active fleet of unsupervised Tesla Robotaxis is shrinking despite earlier signs of growth. The number of active autonomous vehicles has reportedly dropped to 20 units, down from a cumulative total of 25 recorded in late April. Across all ride-hailing operations, including supervised vehicles, the total active fleet has declined to just 34 units.
In Austin, which serves as the flagship city for the deployment, the count of active unsupervised vehicles fell from 19 to 14 over the last week. Meanwhile, deployment in Dallas and Houston has remained stagnant at just three vehicles each. The decline is even more pronounced in the Bay Area, where the fleet of supervised vehicles has cratered from 107 to only nine active units.
Industry analysts suggest that safety concerns remain the primary bottleneck for the service. Reports indicate that the crash rate for unsupervised Tesla vehicles is approximately four times higher than that of human drivers. Elon Musk has acknowledged that safety validation is a limiting factor, noting that the company is awaiting software improvements in FSD v15 before attempting to scale the fleet again. This has pushed the expected timeline for aggressive expansion into late 2026 or early 2027.
While Tesla struggles to maintain a small fleet, competitors like Waymo continue to expand. The Alphabet backed firm currently operates roughly 3,000 Robotaxis across several American cities and is preparing to launch in additional markets like Atlanta and Miami. The significant difference in fleet size and operational scale highlights a widening gap between the two autonomous driving programmes.
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