- Updated: March 24, 2026
- 2 min read
Zoox Expands Autonomous Robotaxi Service to Austin and Miami
Zoox Expands Autonomous Robotaxi Service to Austin and Miami
Amazon-owned Zoox is accelerating its rollout of driver‑less robotaxis across the United States. After launching in Las Vegas and expanding to San Francisco, the company announced new pickup zones in Austin, Texas and Miami, Florida. The move brings the total number of U.S. cities where Zoox operates to four, with plans to add more locations later this year.
Zoox’s purpose‑built vehicle is a sleek, bidirectional electric pod that can travel up to 150 mph and operate in a fully autonomous mode. The fleet already supports 24‑hour service in Las Vegas and a limited daytime schedule in San Francisco. In Austin, the service will debut in the downtown core, while Miami’s launch will focus on the Brickell and Downtown districts.
Key highlights of the expansion:
- New markets: Austin and Miami join Las Vegas and San Francisco as the first U.S. cities with Zoox robotaxi service.
- Service model: Riders can request a ride via the Zoox app, which matches them with the nearest autonomous vehicle.
- Vehicle features: The Zoox robotaxi is fully electric, has a spacious cabin, and can operate without a driver in both forward and reverse directions.
- Future rollout: Zoox plans to add additional pickup locations in each city and eventually expand to other major metropolitan areas.
Zoox’s CEO highlighted the importance of “building a reliable, safe, and scalable autonomous mobility network” and emphasized that the company will continue to refine its technology based on real‑world data collected from the current fleets.
For a deeper dive into Zoox’s autonomous technology and its impact on urban transportation, read the original story on The Verge.
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Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.