Automated Advantage in Education: How AI Tools Reshape Power in American Classrooms

Published in AI & Power Discourse Quarterly (ISSN 3080-9789), this article explores the infrastructural role of AI tools in US education systems, focusing on how automated grading, personalized dashboards, and predictive models redistribute authority in classrooms. It critically examines the emergence of new power dynamics, surveillance, and inequities introduced by educational automation technologies. Artificial Intelligence is no longer a speculative addition to educational systems in the United States—it is infrastructural. From automated grading to personalized learning dashboards, AI-based tools now determine what is taught, how performance is measured, and which students receive targeted intervention. This article examines how these technologies redistribute authority within the American classroom, subtly shifting control away from teachers and towards opaque systems of data-driven governance. Rather than celebrating efficiency or personalization, the article traces how machine-led decision-making introduces new hierarchies of access, surveillance, and intervention—especially in under-resourced public schools. Drawing on contemporary case studies and recent deployments of predictive systems in K-12 districts, the analysis situates educational AI tools within broader structures of power. It argues that these tools do not merely support pedagogy but constitute a new layer of authority—quietly administrative, structurally uneven, and pedagogically prescriptive.