Communication barriers represent a significant challenge for individuals on the Autism Spectrum, particularly those who are non-verbal or minimally verbal. These barriers restrict opportunities for meaningful social participation, personal expression, and autonomy across educational, therapeutic, and community settings. This paper explores the transformative potential of artificial intelligence (AI)-powered assistive technologies, specifically advanced speech-to-text and gesture-recognition systems, as sophisticated augmentative and alternative communication (AAC) tools. The study argues that integrating these multimodal AI interfaces can significantly enhance accessibility and independence by providing adaptive, real-time mechanisms for converting non-verbal and minimally verbal intent into clear, understandable output. Theoretically grounded in the human activity assistive technology model and the neurodiversity perspective, this paper examines how user-centered AI development can overcome limitations inherent in traditional AAC. Critical analysis also addresses pressing ethical concerns, including data privacy, interpretive reliability, and the mitigation of algorithmic bias, to ensure that these powerful tools are developed and deployed responsibly. Ultimately, the paper concludes that ethically grounded, highly personalized AI systems are vital catalysts for human empowerment and social justice, promoting equitable participation for non-verbal autistic individuals in society.