This research explores the role of AI in digital accessibility, which ensures that websites, tools, and technologies are designed for use by people with disabilities. Using a mixed-methods approach, the study assesses the current state of digital accessibility and AI’s impact, with case studies on reinforcement learning for web navigation and supervised learning for content classification. While AI offers significant potential, challenges such as algorithmic biases, technical limitations, and the need for human intervention remain. The goal is to develop strategic recommendations for AI-driven accessibility, promoting a more inclusive digital environment through stakeholder engagement and informed action research.