Understanding Agentic AI

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For those of us who design, build, and use computers, AI is our most frequent topic of conversation. Next to that is agentic AI, a form of artificial intelligence designed to function autonomously. But how is it different from traditional and generative AI?

Simply said, agentic AI can execute complex tasks autonomously with little or no human intervention. The basic agentic AI can make decisions, perform tasks, and adapt to its environment without constant human direction enabling it to automate a broader range of tasks.

From my standpoint, AI helped me understand and report on this topic. In fact, I am using AI for a number of tasks, and its usage is increasing.

Make sense? To clarify, agentic AI refers to artificial intelligence systems that can perform tasks autonomously, make decisions, and pursue goals with minimal or no human intervention. Unlike traditional AI, which usually follows a set of fixed rules or responds directly to human input, agentic AI systems are designed to act with a rapidly growing degree of independence, adapting its strategies and actions based on the topics and environment, or its objectives and the depth of the connected database. Of course, the depth of the database for any AI is important, but with growing agentic AI, it is critical for success.

To continue reading this article, which originally appeared in the November 2025 edition of PCB007 Magazine, click here.