GenAD, the first large-scale autonomous driving video generation model jointly launched by Shanghai Artificial Intelligence Laboratory with Hong Kong University of Science and Technology, University of Tübingen in Germany, and the University of Hong Kong, predicts and simulates real-world scenarios to support research and application of autonomous driving technology. GenAD exhibits strong capabilities in understanding complex dynamic environments, adapting to open-world scenarios, and precise predictions. It can be controlled through language and driving trajectories, showcasing its potential for application in autonomous driving planning tasks, thus contributing to improved driving safety and efficiency.