A Step Forward to AGI: Integrating Agentic AI and Generative AI for Human-Like Intelligence

Abstract: Artificial general intelligence (AGI) is the ultimate goal of artificial intelligence, which should be able to mimic human-like cognitive abilities in a variety of tasks. The developing junction of generative AI—creative, content-generating systems—and agentic AI—autonomous, goal-directed systems—is one of the possible routes to AGI. We discuss a comparative study of these two paradigms, focusing on their different approaches, underlying difficulties, and potential synergies. This research proposes a new angle in the light of AGI future, regarding how the autonomy and problem-solving abilities of Agentic AI are going to create the ingenuity and adaptability of Generative AI. Second, we have drawn attention toward other significant features that are supposed to characterize next-generation intelligent systems, including interdisciplinary research and its ethical implications. To ensure the responsible development of AGI technologies, the paper's conclusion provides a direction for advancing AGI, emphasizing the importance of cooperation between AI researchers, ethicists, and industry practitioners.