Will AI replace Hearing Aid Specialists?
AI reaches little of this job’s work.
5/100
Low exposure
More exposed to AI than 10% of US workers.
- AI already used in
- 7% of the work
- As AI tools mature: up to
- 9% of the work
What the job involves
Select and fit hearing aids for customers. Administer and interpret tests of hearing. Assess hearing instrument efficacy. Take ear impressions and prepare, design, and modify ear molds.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in audiology.
Out of reach(10)
- Train clients to use hearing aids or other augmentative communication devices.
- Counsel patients and families on communication strategies and the effects of hearing loss.
- Maintain or repair hearing aids or other communication devices.
- Administer basic hearing tests including air conduction, bone conduction, or speech audiometry tests.
- Perform basic screening procedures, such as pure tone screening, otoacoustic screening, immittance screening, and screening of ear canal status using otoscope.
and 5 more
Also called
Hearing Instrument Specialist (HIS) · HIS · Audioprosthologist · Hearing Aid Consultant · Hearing Aid Specialist · Hearing Specialist · Audiology Technician · Hearing Aid Dispenser
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics