According to @SawyerMerritt, new data from Tesla reveals that vehicles using Full Self-Driving (FSD) Supervised AI logged 5,109,476 miles per major collision, significantly outperforming the U.S. average of 698,781 miles per collision. Teslas with FSD (Supervised) experienced 715 major collisions over 3.65 billion miles, while manually driven Teslas with Active Safety had 14,943 collisions over 34.2 billion miles, and those without Active Safety had 226 over 219 million miles. These results highlight the business potential of AI-powered driver assistance systems, demonstrating improved safety performance compared to both traditional driving and other Tesla configurations. For the AI industry, this data supports the case for scalable deployment of supervised autonomous driving technologies, providing a concrete market advantage for companies investing in real-world AI safety applications (source: Sawyer Merritt via Twitter).

According to Sawyer Merritt, Tesla has launched a new FSD (Full Self-Driving) safety website featuring a live counter that tracks total miles driven on FSD (Supervised), both overall and in city environments. The data highlights AI-driven safety improvements, reporting 7 times fewer major and minor collisions and 5 times fewer off-highway collisions compared to traditional driving (source: Sawyer Merritt, Tesla FSD Safety Page). This transparency leverages AI analytics to demonstrate the practical impact of autonomous driving technology and offers businesses a real-world case study for AI safety applications in transportation.

According to Sawyer Merritt on X (formerly Twitter), Tesla reported in Q3 that vehicles using Autopilot Full Self-Driving experienced one crash for every 6.3 million miles driven, compared to the National Highway Traffic Safety Administration’s (NHTSA) data of one crash per 700,000 miles for regular vehicles (source: Sawyer Merritt, X, Oct 23, 2025). This significant improvement in safety metrics highlights the potential of AI-powered autonomous driving technologies to reduce accident rates, offering substantial business opportunities for AI integration in automotive safety systems and insurance models. The data-driven results may accelerate regulatory approvals and boost consumer confidence in self-driving technology, sparking new growth in the AI automotive sector.