Abstract
<jats:p>Artificial Intelligence has become an essential part of modern technological systems and is widely used in areas such as healthcare, education, industry, and smart infrastructure. Most traditional AI systems operate based on predefined rules and require continuous human supervision for decision-making and monitoring. Although these systems perform efficiently in structured environments, they often lack independent reasoning and adaptive capabilities. Agentic Artificial Intelligence introduces a new approach where intelligent systems are designed to act autonomously, pursue specific goals, and adjust their behavior according to changing environmental conditions. These systems combine perception, memory, decision-making, learning, and action modules to function independently. By continuously learning from experience and feedback, agentic AI systems improve their performance over time without constant human intervention. This paper provides a clear overview of agentic AI, explaining its core features, system architecture, and real-world applications. It also highlights important ethical considerations related to autonomous decision-making systems. Understanding agentic AI is important for developing next-generation intelligent systems that are both efficient and responsible in complex environments</jats:p>