Aperçu du T2 de Tesla : les chiffres seront au rendez-vous, mais le récit le sera-t-il
- Tesla's robotaxi service in Austin, Texas, recorded 14 accidents between its launch in June 2025 and mid-January 2026, according to data cited in a second-quarter Tesla preview.
- The 14 reported accidents represent a small fraction of the total volume of trips conducted by the autonomous fleet in Austin.
- This data emerged as part of a broader analysis of Tesla's second-quarter performance, as noted in a report titled "Aperçu du T2 de Tesla : les chiffres seront...
Tesla’s robotaxi service in Austin, Texas, recorded 14 accidents between its launch in June 2025 and mid-January 2026, according to data cited in a second-quarter Tesla preview. The accidents occurred during a period in which the service completed an estimated 800,000 trips.
Tesla Robotaxi Safety Data in Austin
The 14 reported accidents represent a small fraction of the total volume of trips conducted by the autonomous fleet in Austin. Between June 2025 and January 15, 2026, the system managed approximately 800,000 trips, which places the accident rate at roughly one incident per 57,142 trips.
This data emerged as part of a broader analysis of Tesla’s second-quarter performance, as noted in a report titled “Aperçu du T2 de Tesla : les chiffres seront au rendez-vous, mais le récit le sera-t-il.” The report suggests that while financial figures for the company may meet expectations, the narrative surrounding the deployment and safety of its autonomous technology remains a focal point for investors and regulators.
Operational Context of the Austin Fleet
The Austin deployment serves as a critical testing ground for Tesla’s robotaxi ambitions, moving the technology from a driver-supervised system to a commercial ride-hailing model. The timeframe from June 2025 to January 2026 marks the initial operational phase of the service in the Texas capital.

The scale of 800,000 trips indicates a high frequency of use within the designated Austin service area, providing a significant dataset for the company to evaluate the reliability of its Full Self-Driving (FSD) hardware and software in a dense urban environment.
