The End Of Human-Only Knowledge Management: Agentic Ai In Education

Abstract

The emergence of agentic artificial intelligence (AI) marks a transformative shift in how knowledge is created, managed, and disseminated within educational systems. Traditional, human-centric knowledge management (KM) frameworks—dependent on manual curation, expertise hierarchies, and static repositories—are increasingly insufficient in addressing the dynamic, data-rich learning environments of the 21st century. This article explores how agentic AI systems, characterized by autonomy, adaptability, and self-directed learning, are redefining educational knowledge ecosystems. Drawing from case studies and theoretical models, we argue that these systems transcend conventional KM roles by actively generating insights, curating personalized learning pathways, and facilitating collective intelligence between humans and machines. We identify emerging implications for pedagogy, academic governance, and digital literacy, emphasizing both the opportunities and ethical risks inherent in delegating epistemic authority to AI agents. Ultimately, this paper proposes a reconfiguration of educational knowledge management—one that embraces AI not merely as a tool, but as a co-creator in the pursuit of knowledge.

Keywords: Agentic AI, Knowledge Management, Education, Artificial Intelligence, Collective Intelligence, Autonomous Systems, Digital Pedagogy.