Artificial Intelligence (AI) has emerged as a transformative force in education, offering innovative solutions to address long-standing inequities in access, quality, and inclusivity. This paper explores the role of AI in fostering inclusive, equitable, and multilingual education systems by bridging digital, regional, linguistic, and accessibility gaps. It examines how AI-powered tools such as adaptive learning systems, speech recognition, machine translation, and assistive technologies can support diverse learners, including those from marginalised communities and individuals with disabilities. The study also highlights challenges such as the digital divide, data bias, ethical concerns, and infrastructural limitations. Using a qualitative review of existing literature and case-based insights, the paper argues that while AI has significant potential to democratize education, its implementation must be guided by inclusive policies, ethical frameworks, and contextual adaptation. The findings suggest that a balanced integration of AI with human-centred pedagogy can significantly enhance learning outcomes and promote educational equity across diverse populations.