While the integration of AI into mainstream education is growing, there remains a significant gap in understanding its efficacy specifically in inclusive education settings. Key questions remain largely unanswered: To what extent can AI promote inclusivity? Which groups benefit the most? What ethical considerations must be addressed? And how do we ensure that these technologies do not inadvertently reinforce existing inequalities? This research paper aims to explore these critical questions by examining the current landscape of AI applications in inclusive education. It will review existing literature, analyze empirical studies, and investigate case studies where AI has been successfully implemented to support marginalized learners. The objective is to evaluate the efficacy of AI in enhancing educational access, engagement, and outcomes for diverse learner populations, while also identifying the challenges and limitations that must be addressed for its equitable and ethical deployment. By critically assessing both the promises and pitfalls of AI in inclusive education, this paper contributes to the broader discourse on how technology can serve as a tool not just for innovation, but for social inclusion and systemic transformation within education.