Abstract: Artificial Intelligence is entering a new phase defined by systems that can learn, adapt, and collaborate with minimal human input. Agentic AI combines autonomy, generative models, and ethical design to build intelligent systems that act responsibly while learning from their environment. This transformation introduces greater transparency, reliability, and trust into automation. Going beyond conventional AI, Agentic systems reason across complex contexts and make explainable, human-aligned decisions. They merge Large Language Models (LLMs), federated learning, and explainable AI to deliver secure, privacy-preserving intelligence across healthcare, insurance, and enterprise domains. This talk explores practical applications, ethical challenges, and IEEE’s role in advancing trustworthy autonomy for the future. By fostering responsible and generative intelligence, Agentic AI paves the way for a more transparent, adaptive, and human-centric technological ecosystem.