Nvidia and Google are introducing multiverse world simulators that could significantly advance AI robotics by generating extensive training data. Unlike large language models, AI behavior models struggle with data scarcity due to the physical nature of robots. These simulators can create countless variations of real-world scenarios for training, potentially revolutionizing autonomous vehicle and robotics development. This innovation is seen as a step toward achieving artificial general intelligence and reshaping labor dynamics in the future.