Agentic AI and Generative AI

Agentic AI and Generative AI represent two fundamental paradigms in artificial intelligence that often work synergistically. Agentic AI refers to autonomous systems that can independently perceive environments, make decisions, and take actions to achieve specific goals without continuous human intervention. These systems exhibit agency through planning, reasoning, and adaptive behavior in dynamic contexts. Generative AI encompasses machine learning models that create new content, data, or solutions by learning patterns from training datasets and generating novel outputs including text, images, code, and multimedia. While agentic AI focuses on autonomous decision-making and goal-oriented behavior, generative AI specializes in content creation and pattern synthesis. Modern AI applications increasingly combine both capabilities, enabling systems that can autonomously generate contextually appropriate responses, create dynamic content, and adapt their outputs based on environmental feedback and user interactions.