The rapid evolution of software development methods needs flexible ways to prioritize requirements. Traditional approaches often fail to manage the complexity and changing needs of modern projects. This paper explores how Artificial Intelligence (AI) changes requirement prioritization by offering adaptable, data-driven solutions. The study discusses key AI methods, their use in agile workflows, and their effect on project efficiency and risk reduction. Additionally, this research initiates further analysis to ensure data verification within projects, aiming to establish stable datasets as a foundation for effective AI implementation in prioritization processes.