Abstract
This paper presents a comparative study of Generative AI and Agentic AI. Generative AI focuses on creating new content such as text, images, code, audio, and video from learned patterns in data. Agentic AI extends these capabilities by enabling autonomous planning, reasoning, tool use, memory, and multi-step task execution to achieve user-defined goals. The paper discusses architectures, characteristics, applications, advantages, limitations, ethical issues, and future research directions. A comparative analysis highlights key differences in autonomy, decision-making, adaptability, and enterprise use.