This paper proposes a theoretical extension of the knowledge gap hypothesis to understand emerging forms of informational inequality driven by generative AI. It argues that while access to AI is widespread, disparities will arise from users' critical evaluation skills when interacting with AI-generated content, with higher education fostering more critical engagement.