GameWAM introduces a World Action Model designed to bridge the gap between task-oriented game agents and interactive world models. By unifying visual future prediction with action policy mapping, it addresses the challenges of rapid visual changes and heterogeneous controls in video games. This approach aims to integrate explicit world dynamics modeling into an actionable framework for open-ended game interactions.