This paper explores the role of Artificial Intelligence (AI) in corporate tax planning, highlighting its potential to transform tax management processes through enhanced efficiency, accuracy, and compliance. Corporate tax planning, traditionally aimed at minimizing tax liabilities while ensuring regulatory compliance, is increasingly influenced by global tax reforms and technological advancements. The adoption of AI technologies offers a strategic approach to navigating complex tax environments, enabling organizations to automate compliance tasks, detect anomalies, and forecast tax liabilities. Despite the promising benefits, the implementation of AI in tax planning faces challenges, including technological limitations, high upfront costs, a shortage of skilled professionals, and ethical concerns such as data privacy and algorithmic transparency. Furthermore, evolving regulatory frameworks and the lack of standardized guidelines complicate AI integration. The paper emphasizes the importance of a robust technological infrastructure, financial planning, and workforce readiness to effectively implement AI in tax functions. It concludes that AI offers significant potential to improve operational efficiency and regulatory compliance, but its successful adoption requires a multi-dimensional approach addressing technological, financial, and ethical considerations. By addressing these challenges, businesses can leverage AI to navigate modern tax complexities, driving innovation, enhancing sustainability, and ensuring long-term growth.