The AI-Native Connected Mobility (ACM) workshop addresses the co-evolution of artificial intelligence and communication systems in the context of next-generation connected vehicles and mobility infrastructure. As vehicles, infrastructure, and edge-cloud platforms increasingly act as intelligent and cooperative agents, there is a growing need for AI-native systems designed from the ground up with tightly integrated sensing, communication, and distributed intelligence. This workshop brings together researchers at the intersection of AI, vehicular communication, and mobility systems to explore how large language models (LLMs), generative AI (GenAI), and learning-based architectures enable real-time understanding, semantic coordination, and adaptive decision-making across distributed and connected mobility environments. We welcome contributions that explore the design, deployment, and optimization of AI-native systems for connected mobility, with a focus on how communication and intelligence are co-designed to support safe, cooperative, and scalable transportation systems.