In GCC, specifically KSA, students with language disorders/delays are barred from schools that claim to be inclusive. This practice has produced a wide gap in the education sector, as the options left for students are either homeschooling or unschooling. Lack of awareness, limited knowledge and training, and reluctance to use modified AI tools in practice hinder the success of students. The main objective of this qualitative study is to explore the importance of AI-based teaching methods for children with special needs, mainly language disorders. The study describes how special needs educators, therapists, and parents perceive the integration of AI-based tools, such as Speech Blubs, SymboTalk, Articulation Station, etc., into interventions for children within school settings or at home, relative to their experiences with traditional tabletop therapies like pointing and imitating sounds. Data are generated from in-depth interviews with parents, special educators, and therapists, as well as from student observations, and are then thematically analysed through the lens of motor learning theory. The analysis reveals that various strategies and programs are available to make these children more adept at expressive and receptive language. Proper training of educators in AAC (augmentative and alternative communication) can bring drastic changes to enable coping with challenges in educating students with special needs. AAC has brought about a revolution in speech development and work with those with special education needs. Moreover, implementing strategies like DTTC (dynamic tactile and temporal cues) helps students achieve their personal milestones. The ultimate goal of this research and the wider work in the field is to create an environment that is welcoming to all, irrespective of any disability. Introducing AI-assisted proprioceptive activities, such as VR obstacle courses, and sensory inputs like AI-powered sensory calming stations in a classroom setting will enhance the cognitive ability of children with language impairments. Rigorous practice, actual cues, and timely correction empowered by AI can lead to significant improvements in the treatment of language disorders.