Economics of Content Creation with Generative AI

Abstract

Generative AI (GenAI) has become an integral part of our lives, serving both as a tool for creating content and as a platform that interacts with users. In doing so, it not only shapes user experiences but also competes with other actors within broader economic ecosystems. This dissertation examines how GenAI interacts with users and competitors within these ecosystems. Its goal is to deepen our understanding of the implications of integrating GenAI and to design approaches that increase social welfare. The contributions include developing theoretical models of these interactions and proposing solutions through algorithmic methods, mechanism design, and regulatory frameworks that ensure welfareimproving outcomes.