This paper investigates the dynamic interplay between artificial intelligence (AI) and innovation management within contemporary organizations. As AI technologies continue to evolve, their influence on innovation processes becomes increasingly pronounced, presenting both challenges and opportunities for businesses aiming to foster creativity and stay competitive in rapidly changing markets. The study delves into the multifaceted impact of AI on various facets of innovation management, including ideation, prototyping, collaboration, and the overall organizational culture that In an era defined by rapid technological advancements, explores the transformative role of artificial intelligence (AI) in shaping and optimizing innovation management within organizations. As industries undergo profound shifts, the integration of AI into innovation processes emerges as a critical factor influencing organizational creativity, efficiency, and competitive advantage. AI may indeed compel management to rethink a companys entire innovation process. In response, we review and explore the implications for future innovation management. Objective of the study • Assess the Impact of AI on Idea Generation: • Identify specific AI tools or methodologies that contribute to creative idea generation. • Explore the ways in which AI accelerates and optimizes the prototyping phase of innovation. The research aims to guide policymakers, business leaders, and innovation practitioners in navigating the intricate relationship between AI and innovation to unlock new realms of organizational creativity and competitive advantage. Furthermore, special attention is given to the collaborative aspects of innovation management, examining how AI facilitates cross-functional collaboration, open innovation initiatives, and the co-creation of value with external stakeholders. The study identifies best practices for harnessing the synergies between human creativity and AI-driven capabilities to amplify the innovative output of organizations.