Artificial intelligence (AI) is reshaping the landscape of assistive technologies, offering transformative support for communication, mobility, and cognitive function among individuals with disabilities. Tools such as smart prosthetics, speech-generating devices, brain-computer interfaces, exoskeletons, and AI-powered chatbots exemplify how machine learning can personalize and enhance assistance. However, the rapid pace of innovation has outstripped the development of corresponding ethical and regulatory frameworks. This entry examines the clinical applications and market trends of AI-enabled assistive technologies, critically evaluating both their benefits and risks. Key ethical challenges include data privacy, algorithmic bias, informed consent, user autonomy, accessibility, dependency, and normative societal expectations. The discussion draws upon insights from disability ethics and cognitive enhancement literature, highlighting overlapping concerns such as personalization, coercion, and identity transformation. Emphasis is placed on the responsibilities of developers, policymakers, and healthcare providers in ensuring equitable, inclusive, and ethically grounded design. The entry argues that while AI-enhanced assistive technologies offer substantial promise, their development and deployment must be guided by frameworks that prioritize justice, inclusivity, and respect for the rights of disabled individuals.