The AI Impact Timeline: What to Expect
AI's influence on Speech-Language Pathology is unfolding in stages. By 2029, expect around 30% of assessment, documentation, and routine therapy tasks to be automated. Standardized articulation screenings, basic language assessments, and progress note documentation are prime candidates for AI integration.
The initial wave of impact is predicted for 2026, primarily affecting entry-level SLPs in school settings who conduct routine screenings and deliver scripted therapy protocols. These tasks are highly amenable to automation by AI-powered diagnostic tools and digital therapy platforms.
Mid-to-late wave transformation, extending to 2032 and beyond, will see senior clinicians specializing in complex disorders like aphasia rehabilitation, dysphagia assessment, and autism spectrum interventions experiencing minimal disruption. Their advanced clinical reasoning and specialized skills remain vital.