In this episode of the AI-Shed Agentic AI Podcast, Alessandro and Giovanni explore why agentic AI cannot be understood as a single intelligent component.

They explain how the moment an AI system begins to act with agency, it becomes part of a wider System of Systems—interacting with humans, data sources, tools, rules, and feedback loops. Through everyday examples and practical analogies, they show that behavior emerges from interactions, not from intelligence alone.

The conversation highlights why many AI failures are not model failures but system and interface failures, and why introducing an agent without redesigning responsibility, authority, and context leads to slow but serious organizational risks.

This episode offers a systems-engineering perspective on agentic AI, helping listeners move beyond hype and toward a more realistic, resilient way of designing and deploying intelligent systems.