In the current digital era, aligning IT strategies with business goals is not only a priority but a necessity for organizations aiming to enhance efficiency, agility, and growth. This research examines the integration of Artificial Intelligence (AI) within IT strategies to achieve strategic alignment with business objectives, highlighting the critical role of Enterprise Architecture (EA) as a framework to facilitate this process. By leveraging AI, organizations can enable data-driven decision-making, optimize processes, and foster innovation, leading to a more adaptive and responsive IT infrastructure. The research draws from empirical studies, case studies, and theoretical frameworks to illustrate how EA provides a structured approach to managing the complexities of IT systems and ensuring their alignment with business processes and strategies. Furthermore, this paper addresses the challenges and ethical considerations of integrating AI into IT strategies, emphasizing the importance of governance structures to manage risks such as data privacy, bias, and transparency. The findings suggest that organizations that effectively incorporate AI within the EA framework not only achieve b
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