Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 29-2092.00
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.
Also called: Hearing Aid Specialist · Hearing Instrument Dispenser · Hearing Instrument Specialist (HIS) · Hearing Specialist · Audioprosthologist · Hearing Aid Consultant · Hearing Care Practitioner · Hearing Care Specialist · Licensed Hearing Instrument Specialist (Licensed HIS) · National Board Certified Hearing Instrument Specialist (National Board Certified HIS) · Audiology Assistant · Audiology Technician
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-2092-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
41st-percentile task overlap — yet about 1,000 openings a year (+18.4% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 61st | 0.6 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 38th | 0.4 | |
| AI assistant applicability (Microsoft) Low | 29th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.2), and including AI-powered software (γ 0.4). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Diagnose and treat hearing or related disabilities under the direction of an audiologist. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +18.4% by 2034 |
| Projected annual openings | 1,000 |
| Employment 2024 → 2034 | 10,700 → 12,600 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Medical and Dental Prosthetic Technicians · 3214 | 18% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
All 11 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Speech Clarity | 3.9 | |
| Problem Sensitivity | 3.8 | |
| Speech Recognition | 3.6 | |
| Written Comprehension | 3.5 | |
| Near Vision | 3.5 | |
| Deductive Reasoning | 3.4 | |
| Inductive Reasoning | 3.3 | |
| Written Expression | 3.1 | |
| Information Ordering | 3.1 | |
| Category Flexibility | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Arm-Hand Steadiness | 3.1 |
| Active Listening | 3.9 | |
| Speaking | 3.4 | |
| Reading Comprehension | 3.3 | |
| Writing | 3.1 | |
| Critical Thinking | 3.1 | |
| Active Learning | 3.1 | |
| Monitoring | 3.1 |
| Service Orientation | 3.6 | |
| Instructing | 3.5 | |
| Social Perceptiveness | 3.3 | |
| Persuasion | 3.1 | |
| Complex Problem Solving | 3.1 | |
| Judgment and Decision Making | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| HIMSA Noah | Medical software | |
| Otometrics OTOsuite | Medical software |
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Doctoral Degree | 44.0% | |
| High School Diploma | 22.1% | |
| Post-Secondary Certificate | 12.0% | |
| Post-Baccalaureate Certificate | 11.9% | |
| Associate's Degree (or other 2-year degree) | 9.2% | |
| Bachelor's Degree | 0.4% | |
| Master's Degree | 0.4% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 7.0 | |
| Attention to Detail | 6.0 | |
| Integrity | 5.0 | |
| Cooperation | 4.0 | |
| Social Orientation | 3.0 |
| Health Care Service | 6.0 | |
| Personal Service | 4.6 | |
| Social Service | 4.4 | |
| Professional Advising | 4.1 | |
| Teaching/Education | 3.9 | |
| Medical Science | 3.3 | |
| Mechanics/Electronics | 3.0 |
| Social | 4.5 | |
| Conventional | 4.4 | |
| Investigative | 4.4 | |
| Realistic | 3.9 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $36,950 |
| 25th percentile | $47,150 |
| Median (50th) | $61,560 |
| 75th percentile | $78,110 |
| 90th percentile | $91,000 |
| People employed | 10,580 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Retail Trade · Sector | 6,810 | $63,110 |
| Health Care and Social Assistance · Sector | 3,360 | $58,430 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 2,120 | $62,040 |
| Manufacturing · Sector | 70 | $60,290 |
| Educational Services · Sector | 40 | $44,900 |
| Offices of Optometrists · National industry | — | $66,320 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 64.83× | 2,120 |
| Retail Trade · Sector | 6.36× | 6,810 |
| Health Care and Social Assistance · Sector | 2.12× | 3,360 |
Part of the Healthcare & Human Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Hearing Aid Specialists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 27th percentile of 427 international occupations.
Hearing Aid Specialists show 41st-percentile AI task overlap — and about 1,000 annual U.S. openings
Hearing Aid Specialists show 41st-percentile AI task overlap — and about 1,000 annual U.S. openings • Hearing Aid Specialists rank in the 41st percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 1,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+18.4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $61,560, across about 10,580 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Hearing Aid Specialists". https://singulariki.com/roles/role-29-2092-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Hearing Aid Specialists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2092-00
Singulariki. (2026). Hearing Aid Specialists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2092-00
@misc{singulariki-role-29-2092-00,
title = {Hearing Aid Specialists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-2092-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.