According to Sawyer Merritt (@SawyerMerritt), a new shuttle service utilizing Tesla vehicles equipped with Full Self-Driving (FSD) Supervised is now operational in Germany, marking the first deployment of such autonomous vehicle technology for public transportation in Europe. The project is a collaboration between Tesla, local municipalities, and regulatory authorities, highlighting the growing practical applications of AI in mobility and transport. This initiative demonstrates the business potential for AI-driven fleet management, urban mobility solutions, and paves the way for further autonomous transportation projects across the European market. (Source: Sawyer Merritt on Twitter)

According to @ai_darpa, Hangzhou, China has deployed AI-powered robot traffic officers to direct pedestrians and vehicles, aiming to reduce accidents and enhance urban traffic flow. This initiative leverages real-time computer vision and machine learning to analyze road conditions and manage traffic dynamically, representing a significant step in the integration of artificial intelligence in public safety and urban management. The use of AI-driven robots for traffic control not only addresses labor shortages but also creates new business opportunities for AI solution providers targeting smart city projects and intelligent transportation systems. As Hangzhou becomes a model for smart urban infrastructure, companies specializing in AI hardware, sensor fusion, and mobility analytics may find expanded market opportunities in China and globally (source: @ai_darpa on Twitter, Dec 23, 2025).

According to Sawyer Merritt on Twitter, 16 Tesla Cybercabs were observed at the Giga Texas crash test facility, indicating rapid progress toward full-scale production of Tesla's AI-powered autonomous taxi fleet. Joe Tegtmeyer provided visual confirmation of Cybercab castings and uncovered vehicles at the facility, reinforcing Tesla's commitment to integrating advanced AI-driven self-driving technology for urban mobility solutions. With production set to start in less than 130 days, this development highlights significant business opportunities in autonomous vehicle deployment, AI-powered ride-hailing services, and the future of smart transportation infrastructure (Source: Sawyer Merritt, Joe Tegtmeyer via Twitter).

According to Sawyer Merritt, Tesla successfully showcased an unsupervised ride using its Full Self-Driving (FSD) system in a Model Y Robotaxi, marking a significant milestone in autonomous vehicle technology (source: Sawyer Merritt, Twitter). This real-world demonstration highlights Tesla's progress toward fully autonomous ride-hailing services, suggesting new business opportunities in robotaxi fleets and urban mobility solutions. Industry experts note that this development could accelerate the deployment of AI-powered transportation services, offering cost efficiency and scalability for businesses and city planners looking to invest in smart mobility ecosystems.

According to Sawyer Merritt, Waymo has expanded its AI-driven robotaxi operations to deliver over 450,000 paid rides per week, a significant increase from 250,000 rides in April 2025. This growth is supported by a fleet of 2,500 autonomous vehicles distributed across key markets, including the San Francisco Bay Area, Los Angeles, Phoenix, Austin, and Atlanta. This rapid expansion demonstrates the scalability and commercial viability of autonomous ride-hailing services powered by advanced AI systems, highlighting substantial business opportunities for companies investing in self-driving technology and urban mobility solutions. The concentration of vehicles in tech-forward cities suggests a targeted strategy to maximize market adoption and operational efficiency (Source: Sawyer Merritt, Twitter, Dec 8, 2025).

According to Sawyer Merritt, Germany’s largest car magazine Auto Bild was highly impressed by Tesla’s FSD (Supervised) system during a Berlin test ride. Robin Hornig, Auto Bild’s journalist, reported that the Tesla Model 3 running FSD V14 navigated complex traffic, construction zones, and narrow streets with superior all-around vision compared to human drivers. The AI-powered system consistently braked early for pedestrians and yielded politely, demonstrating its advanced perception and situational awareness. This test highlights the practical applications and growing reliability of autonomous driving AI in real-world European urban environments, indicating strong business opportunities for AI-powered mobility solutions and wider adoption in the automotive industry (Source: Sawyer Merritt via Twitter; Teslarati).

According to @XPengMotors, XPENG Robotaxi leverages advanced AI technology to transform autonomous vehicles from simple transportation into intelligent companions capable of understanding passenger needs. The integration of cutting-edge artificial intelligence ensures enhanced safety, personalized user experiences, and seamless travel, positioning XPENG as a leader in the emerging intelligent mobility market. This development highlights significant business opportunities in AI-driven smart transportation solutions and the growing demand for next-generation autonomous vehicles (Source: XPengMotors on Twitter, Nov 6, 2025).