The ignored difference between AI Agents and Agentic AI
Briefly

The article explains the growing importance of distinguishing between AI agents and agentic AI in the business landscape. AI agents are effective for routine, predefined tasks, serving as reactive tools, while agentic AI excels in complex decision-making and adaptive problem-solving. This differentiation is essential for companies considering investments in AI technologies, as it can significantly impact their strategic implementations and outcomes. The text further highlights a metaphor comparing AI agents to non-playable characters (NPCs) in video games to illustrate their limited responsiveness and functionality.
AI agents are great for handling specific, well-defined tasks, while agentic AI is built for more complex, adaptive decision-making and real-time problem-solving.
If life were a video game, AI Agents are the NPCs who only speak when spoken to and stick to their script.
Read at Medium
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