Through a perspectival inversion, the authors explore what artificial intelligence—reconceived as a ‘superscholar’ operating as a scholarly collective unconscious—reveals about limitations in human authorship. AI exposes three interconnected crises: of credit, of verification, of comprehensive knowledge—each compounded by the responsibility gap endemic to learning automata. The article addresses implications for collection development, cataloging, and information literacy, proposing the goal of ‘epistemic reparation,’ with AI surfacing marginalized contributions occluded by citational regimes.