Agentic Artificial Intelligence and Public Administration: Analysis of Managerial Impact

Abstract

This paper aims to examine the managerial impact of agentic artificial intelligence in public administration, with a particular focus on how autonomous AI systems reshape decision-making, organizational structures, managerial authority and accountability mechanisms. The study adopts a conceptual-analytical research design, based on the synthesis of relevant literature, policy documents, regulatory perspectives and theo-retical contributions in the fields of digital governance, artificial intelligence and public management. The analysis shows that the transition from traditional digital administration to agentic organizations may im-prove operational efficiency, support data-driven decision-making and enable more adaptive public ser-vices. At the same time, it generates significant challenges related to trust, ethical oversight, legal respon-sibility, workforce adaptation and the redefinition of managerial roles. The originality of the paper lies in its focus on agentic AI as a distinct stage of digital transformation, moving beyond conventional automation toward autonomous systems capable of planning, execution and self-correction. The study contributes to the literature by proposing the need for a new managerial profile, the systems architect manager, responsible for orchestrating hybrid ecosystems composed of human experts and digital agents. From a practical per-spective, the findings highlight the importance of institutional readiness, human-on-the-loop supervision, transparent governance mechanisms and continuous training for the responsible integration of agentic AI in public institutions.