This research proposes an XNA animation game system with AI technology for action animation games in mobile devices, based on an object-oriented modular concept. The animation game function with AI technology is encapsulated into independent objects, through the combination of objects to build repetition. It adds AI technology to the finite state machine, fuzzy state machine and neural network and attempts to combine the traditional rule-base system and learning adaptation system to increase the learning ability of traditional AI roles. The main contributions are compared with traditional methods and the AI animation game system is shown to have more reusability, design flexibility and expansibility of its AI system through the object composition approach. It adds AI technology to combine the traditional rule-base system and learning adaptation system to increase the learning ability of traditional AI roles. Therefore, AI animation game producers can accelerate their processes of developing animation games and reducing costs.