Paper Contents
Abstract
Agentic AI signifies a pivotal change in the field of artificial intelligence, introducing systems that can autonomously pursue intricate goals with little human oversight. Unlike earlier AI models that depend on strict programming and constant monitoring, Agentic AI demonstrates flexibility, independence, and sophisticated decision-making in evolving settings. This review delivers a thorough exploration of Agentic AI, outlining its foundational theories, unique attributes, and the principal techniques behind its advancement. The discussion extends to its present and future roles in vital sectors like healthcare, finance, and adaptive digital platforms, highlighting tangible advantages. Moreover, the paper addresses the ethical and operational hurdles facing Agentic AI, such as goal alignment, resource management, and environmental responsiveness. To promote responsible integration, a structured approach for deploying Agentic AI is proposed, underscoring the importance of sustained research into ethical and regulatory frameworks. This analysis aims to support researchers, engineers, and policymakers, encouraging ethical innovation and maximizing Agentic AIs societal value
Copyright
Copyright © 2025 Alan Chan. This is an open access article distributed under the Creative Commons Attribution License.
