Applied to AI, this perspective reveals how algorithmic systems co-construct disability through classification practices, data labeling, and deployment in real-world contexts such as education, employment, or healthcare. For instance, hiring algorithms that rank candidates not only exclude disabled applicants but also actively reshape what “qualified” means. This model pushes us to see AI not as neutral infrastructure but as a powerful actor in reinforcing or disrupting systemic ableism.