What ‘Agentic AI’ Actually Means (and Why Most Vendor Pitches Get It Wrong)

“Agentic AI” is the single most-searched AI term I found when I went digging through market data recently: 90,000+ searches a month, and rising fast. It’s also, in my experience talking to business owners around Denver, Boulder, and Golden, the term people understand least. Most of what gets pitched to you as “agentic” is a chatbot with a to-do list bolted on. Let me tell you what the real thing looks like. The Definition That Actually Matters What is agentic AI, in one sentence? It’s AI that pursues a goal across multiple steps on its own, using tools, checking its own work, and adjusting when something goes wrong, instead of just answering one prompt at a time. What is an AI agent, specifically? An AI agent is the individual system doing that work: a model plus the tools it’s allowed to use (files, APIs, a browser, a terminal) plus the logic that decides what to do next based on what just happened. “Agentic AI” is the broader approach; “an AI agent” is one running instance of it.…

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