In this episode of the Professor Insight Podcast, we take a closer look at one of the most talked-about developments in artificial intelligence: Agentic AI. After our last episode introduced the concept, many listeners asked for a deeper dive. So today, we are breaking down what Agentic AI actually is, how it works, and how it differs from generative AI, large language models, and traditional AI workflows. If you have been hearing the term but are not quite sure what it means in practice, this episode will give you the clarity you need.

We explore the defining traits of Agentic AI, including autonomous decision-making, goal-driven behaviour, real-time planning, and tool use. Unlike models that simply respond to prompts or follow fixed sequences, Agentic AI is capable of taking initiative and solving complex problems independently. We also examine how this compares to generative AI, which is focused on content creation, and AI workflows, which rely on predefined steps and human direction.

So why should business leaders care? Because understanding these distinctions is critical to making smart choices about automation, innovation, and competitive strategy. Agentic AI opens up powerful new possibilities for efficiency, scalability, and intelligent decision-making across industries. Tune in to find out how this next wave of AI could reshape the way your organisation works and delivers value.