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44 PCB007 MAGAZINE I NOVEMBER 2025 A RT I C L E by D a n F e i n b e rg , I - C o n n e ct 0 07 Understanding Agentic AI F or those of us who design, build, and use com- puters, AI is our most frequent topic of conver- sation. Next to that is agentic AI, a form of artificial intelligence designed to function autonomously. But how is it different from traditional and genera- tive AI? Simply said, agentic AI can execute complex tasks autonomously with little or no human inter- vention. 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 arti- ficial intelligence systems that can perform tasks autonomously, make decisions, and pursue goals with minimal or no human intervention. Unlike tra- ditional AI, which usually follows a set of fi ed rules or responds directly to human input, agentic AI systems are designed to act with a rapidly grow- ing degree of independence, adapting strategies and actions based on the topics and environment, or objectives and the depth of the connected data- base. Of course, the depth of the database for any AI is important, but with agentic AI, it is critical for success. Agentic AI represents a powerful evolution in arti- ficial intelligence, providing systems with the grow-