Will AI replace hearing aid specialists?
Unlikely. Most of the work is hard for today's AI to speed up. Hearing Aid Specialists score 20 out of 100 (moderate exposure), #633 of 923 US jobs. AI could speed up 5 of the job's 11 tasks, 0 of them on its own, while 6 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which hearing aid specialists tasks can AI do?
The most exposed tasks include "Select and administer tests to evaluate hearing or related disabilities"; "Perform basic screening procedures, such as pure tone screening, otoacoustic screening, immittance screening, and screening of ear canal status using otoscope"; "Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in audiology".
Which hearing aid specialists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Train clients to use hearing aids or other augmentative communication devices"; "Counsel patients and families on communication strategies and the effects of hearing loss"; "Administer basic hearing tests including air conduction, bone conduction, or speech audiometry tests".
Are people already using AI for this work?
Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.
How many people work as hearing aid specialists, and what do they earn?
About 11,270 people in the US, with median pay of $65,160 a year (BLS, May 2025).