The document discusses the complex economics of artificial intelligence. It argues that AI should be viewed not through simple economics but through a complex framework that considers organizational, market, social, and temporal dimensions of complexity. These dimensions generate uncertainty, information problems, externalities, path dependencies, and other issues that could lead AI development to diverge from desirable outcomes. A complex view of AI economics is needed to inform evidence-based policies that can shape trajectories of AI and avoid undesirable impacts.