AI Agents and the Future of Organizations: A Comprehensive Review of Management, Leadership, and Human-AI Collaboration

From rule-based automation and predictive analytics to sophisticated generative models that can create material that is human-like, artificial intelligence (AI) has advanced quickly. AI agents, which are autonomous systems that can perceive their surroundings, reason, plan, make decisions, and carry out difficult tasks with little assistance from humans, represent the most recent stage of this progression. AI agents have the capacity to manage several tasks, engage with digital environments, make use of external resources, and constantly adjust to shifting organizational needs, in contrast to traditional AI apps that mainly help users with discrete tasks. Across industries, their increasing use is radically changing administrative techniques, organizational structures, and the nature of human labor. For businesses looking to improve operational effectiveness, creativity, decision-making quality, and consumer engagement while upholding moral governance and worker welfare, the advent of AI agents has important ramifications. The management literature on the organizational role of AI agents is still fragmented, despite growing scholarly attention to digital transformation and artificial intelligence. The majority of current research focuses on technology capabilities, leaving little knowledge of organizational readiness, human–AI collaboration, leadership change, strategic implementation, governance mechanisms, and long-term organizational effects. By analyzing the philosophical underpinnings, technological development, organizational applications, opportunities, problems, and growing managerial implications of AI agents, this review article synthesizes current literature on the subject from a management viewpoint. The study also highlights important research needs in the areas of workforce transformation, AI governance, organizational resilience, employee trust, and responsible adoption. A thorough conceptual framework that incorporates AI agent capabilities, organizational preparedness, human–AI collaboration, managerial competences, responsible AI governance, and organizational performance is put forth based on these insights. The framework seeks to offer a comprehensive knowledge of how businesses can successfully use AI agents while upholding moral principles, ethical responsibility, and long-term economic advantage. By providing an integrated viewpoint on autonomous AI systems within contemporary enterprises, the study adds to the expanding corpus of management literature. For managers, legislators, educators, and researchers looking to manage the shift from traditional automation to autonomous enterprises, it offers practical insights. The study also describes future research directions that can direct empirical studies on workforce adaptation, corporate governance, AI agent adoption, and responsible innovation in the context of Industry 5.0.