We study how AI affects the transmission of information, thereby sharping its network structure. We propose a generic model where agents use AI technology to extract others information to construct their information set. Information transmits across agents that can be characterized by a recursive form. We show how information sets in equilibrium are affected by the endowment of primitive information and the features of AI technology. We apply our framework to several economic applications to highlight how AI transforms the decision making of firms and investors.