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Hearing Aid Specialists

Hearing Aid Specialists score 20 out of 100, which is moderate exposure to AI. That ranks #633 of 923 US occupations, where #1 is the most exposed. Of the 11 tasks in this job, AI could speed up 0 on its own and 5 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

20/ 100
Moderate
Rank
#633of 923 jobs
US workers
11,270BLS, May 2025
Median pay
$65,160a year
In real AI use
0 of 11tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 0 (0%)
  • AI can speed this up with extra software: 5 (45%)
  • Little or no AI speed-up: 6 (55%)
  • Select and administer tests to evaluate hearing or related disabilities.AI can speed this up with extra software · core task
  • Perform basic screening procedures, such as pure tone screening, otoacoustic screening, immittance screening, and screening of ear canal status using otoscope.AI can speed this up with extra software · core task
  • Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in audiology.AI can speed this up with extra software · core task
  • Assist audiologists in performing aural procedures, such as real ear measurements, speech audiometry, auditory brainstem responses, electronystagmography, and cochlear implant mapping.AI can speed this up with extra software · supplemental task
  • Diagnose and treat hearing or related disabilities under the direction of an audiologist.AI can speed this up with extra software · supplemental task
  • Train clients to use hearing aids or other augmentative communication devices.Little or no AI speed-up · core task
  • Counsel patients and families on communication strategies and the effects of hearing loss.Little or no AI speed-up · core task
  • Administer basic hearing tests including air conduction, bone conduction, or speech audiometry tests.Little or no AI speed-up · core task
  • Maintain or repair hearing aids or other communication devices.Little or no AI speed-up · core task
  • Create or modify impressions for earmolds and hearing aid shells.Little or no AI speed-up · core task
  • Demonstrate assistive listening devices (ALDs) to clients.Little or no AI speed-up · core task
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Questions about hearing aid specialists and AI

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).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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