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The transformative emergence of agentic AI, which goes beyond simple automation or content generation to enable independent, goal-driven actions by AI systems. They explain the core principles of agentic AI, including its perception, reasoning, planning, action, and learning cycle, and differentiate it from predecessors like Robotic Process Automation (RPA) and Generative AI by highlighting its capacity for autonomous, multi-step task execution. The text then surveys diverse applications across industries such as HR, finance, logistics, and contract management, illustrating how agentic AI is revolutionizing business operations and supply chains. Furthermore, the sources outline the dynamic market landscape, identifying key players from foundational platform providers like Microsoft and Google to specialized application vendors and the burgeoning open-source community. Finally, the collection addresses the profound economic and organizational impacts of this technology, emphasizing productivity gains and the restructuring of human roles, while also thoroughly examining critical inherent risks related to technical reliability, security threats, and complex ethical and governance challenges.