In the landscape of modern education, meeting the diverse learning needs of students, especially in special education, presents a paramount challenge. Specialised teaching techniques are frequently needed to facilitate the social-emotional and intellectual development of children with exceptionalities or impairments. The integration of artificial intelligence (AI) presents a promising approach to enhance educational results for individuals with diverse skill sets and efficiently fulfil individual learning needs. This research paper explores the role of Artificial Intelligence (AI) in addressing individual learning needs in special education. This study summarises the body of research on the use of AI in special education, emphasising both new advancements and challenges. The purpose of this study is to determine the possible advantages of incorporating AI into special education programmers through a qualitative analysis and to talk about the implications for future practice and research. Its goal is to change traditional educational paradigms and create inclusive, flexible, and adaptive learning environments that are catered to the individual requirements of every student. With the use of artificial intelligence (AI), teachers can now analyse enormous volumes of student data to comprehend the distinct learning profiles of each student, customise their lesson plans, and develop interventions that are specifically designed to meet the needs of kids with disabilities. AI-powered assistive technologies improve accessibility and inclusion for students with disabilities by making course materials and communication easier. However, in order to guarantee the ethical and responsible application of AI in special education, issues including digital equity, privacy concerns, and ethical considerations must be addressed.