Agentic AI: Behind the 2025 Top Tech Trend

This episode explores the burgeoning field of agentic AI, specifically focusing on AI agents and their capabilities. Against the backdrop of rapidly increasing AI investment and CEO adoption of AI tools, the discussion defines agentic AI as autonomous systems capable of planning and acting to achieve goals. More significantly, the interview distinguishes AI agents—autonomous software entities using AI techniques to perceive, decide, and act—from the large language models they utilize, highlighting that agents are distinct software entities employing models as tools. For instance, an AI agent might use a large language model to plan the processing of complex invoices and then utilize its own tools to input the data into accounting software. The conversation then pivots to the challenges of securing and governing these agents, introducing the concept of "guardian agents" to monitor and ensure the correct behavior of other agents within a multi-agent system. As the discussion concludes, the speakers emphasize the importance of identifying areas with scalability issues for initial AI agent implementation and highlight the exciting prospect of AI agents learning and improving over time through the analysis of their past actions. This signifies a crucial step towards adaptable and increasingly effective AI systems.