Agentic AI and the Co-Evolution of Organizational Knowledge

Abstract

The rapid advancement of Agentic Artificial Intelligence (AI)—systems capable of autonomous reasoning, decision-making, and learning—marks a transformative phase in the evolution of organizational knowledge. This article develops a conceptual synthesis exploring how agentic AI systems co-evolve with organizational knowledge structures, reshaping how knowledge is created, shared, and sustained. Drawing upon theories of socio-technical systems, dynamic capabilities, and knowledge ecology, the paper conceptualizes co-evolution as a dual adaptive process wherein human cognition and machine intelligence continuously influence and refine one another. Agentic AI extends beyond traditional knowledge management tools by not only processing and storing information but actively generating, validating, and reconfiguring knowledge through recursive feedback loops. The study proposes a multi-level framework depicting how agentic AI enhances organizational sensemaking, accelerates knowledge renewal, and fosters emergent intelligence within human–AI collectives. Furthermore, it identifies the paradoxes of agency, ethics, and control that accompany this transformation—highlighting the need for new governance paradigms to balance autonomy and accountability. By theorizing the symbiotic evolution of agentic AI and organizational knowledge, this paper contributes to the discourse on intelligent organizational design and advances understanding of how artificial and human intelligence can jointly drive adaptive learning, innovation, and sustainable competitive advantage in the digital age.

Keywords: Agentic Artificial Intelligence, organizational knowledge, co-evolution, knowledge ecology, dynamic capabilities, socio-technical systems, adaptive learning.