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Agentic AI is no longer a concept — it's here, and it's changing what AI actually does. Here's what the shift means for you. We've moved beyond AI that just generates content on command. Agentic AI doesn't wait for a prompt — it receives a goal and works autonomously to achieve it, using tools, adapting to new information, and executing plans with minimal human oversight. Think of it less as a tool and more as a digital worker you manage. At its core, an AI agent runs on a continuous loop: perceive, reason, remember, act. When you stack specialized agents into coordinated teams — one researching, another coding, a third testing — you get multi-agent systems capable of tackling problems no single model could handle alone. Open standards like the Model Context Protocol (MCP) are making this interoperability a reality. But the risks are real. Security researcher Simon Willison calls it the "lethal trifecta" — private data access, untrusted internet content, and the authority to act. Gartner predicts over 40% of agentic AI projects will be abandoned due to governance failures. The hype is real. The path to value is not. ⏱ CHAPTERS 00:00 The Agentic Shift — What's Actually Changing 01:27 Defining Agentic AI 02:05 The Agentic Loop: How It Thinks 02:42 Multi-Agent Systems 03:40 The Human as Orchestrator 04:07 Opportunities and Real Risks 05:00 The Lethal Trifecta 06:05 Your New Role in an Agentic World 07:01 Final Thought #AgenticAI #AIAgents #FutureOfWork