As artificial intelligence advances in complexity and capability, two major branches—Agentic AI and Generative AI—are beginning to shape distinct roles in technology and society. This guide breaks down Agentic AI vs Generative AI examples, helping you clearly understand how each type operates, what problems they solve, and why their differences matter in real-world applications.

Agentic AI refers to systems capable of goal-setting, AI task planning, and taking autonomous actions based on their environment—making decisions and adapting behaviors to achieve outcomes. In contrast, Generative AI focuses on producing content, such as text, code, images, and audio, without pursuing long-term goals or autonomy. Think ChatGPT and Midjourney versus AI agents in robotics or workflow automation. 

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