BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

51.6%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Hearing Aid Specialists

They help people hear better by testing their hearing, fitting them with hearing aids, and adjusting the devices for comfort and clarity.

Summary

The career of a Hearing Aid Specialist is labeled as "Evolving" because AI is starting to help with tasks like running hearing tests and analyzing ear images. These tools make it easier to do quick screenings and offer remote services, which means specialists can serve more people.

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Learn more about how you can thrive in this position

View analysis
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Latest news
More career info

Summary

The career of a Hearing Aid Specialist is labeled as "Evolving" because AI is starting to help with tasks like running hearing tests and analyzing ear images. These tools make it easier to do quick screenings and offer remote services, which means specialists can serve more people.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

47.5%

47.5%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

65.2%

65.2%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

50.3%

50.3%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

18.4%

Growth Percentile:

98.1%

Annual Openings:

1

Annual Openings Pct:

11.4%

Analysis of Current AI Resilience

Hearing Aid Specialists

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Some parts of hearing tests are already helped by technology. For example, smartphone apps can run pure‐tone hearing tests at home. One study found the Mimi app gave results almost identical to clinic tests (with ~97% sensitivity) [1].

There are also AI-powered otoscopes: for instance, the HearScope system uses AI to look at ear images and automatically flag things like wax buildup or eardrum perforations [2]. In research, AI models correctly classified normal vs. abnormal ear images over 90% of the time [1]. These tools let audiologists and hearing specialists do quick screenings or allow remote/telehealth testing, so people can check hearing without always visiting a clinic [1] [1].

However, many core tasks still need humans. Adjusting and training on hearing aids is very personal. Some hearing aids use built-in AI to adapt sounds (studies describe systems that learn a user’s preferences) [1], but experts are still needed to fit the devices and teach people how to use them.

Demonstrating assistive devices and counseling on hearing loss rely on human communication. Keeping up with new research can be aided by general tools, but reading and discussing findings is usually done by the specialist. In short, technology can run tests and flag issues, but the human touch—helping clients understand results and use devices—is still very important [1] [1].

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AI Adoption

AI Adoption

New tools are becoming available, but adoption will be gradual. On the plus side, hearing care faces a big demand: over 400 million people need hearing aids today, yet most don’t have them [1]. Remote testing has proved promising – studies show tele‐audiology can match in-office care and save travel [1] [1].

The COVID-19 pandemic sped up use of mobile hearing tests [1]. Also, hearing aid makers are adding AI features to devices to personalize sound (using machine learning in the background) [1]. These trends encourage more tech use.

But there are reasons for caution. Audiology is a regulated healthcare field. Costs for high-quality equipment and training are high, and insurance often doesn’t cover remote tools [1].

Many clients feel more comfortable with a trusted professional guiding them, especially for something as personal as hearing. Users may be wary of a computer diagnosing ear problems without a human present. In summary, basic hearing tests and screening tools can be automated or done remotely, which helps specialists serve more people.

Yet fitting devices, counseling, and hands-on training stay with human experts. This means AI is likely to assist hearing aid specialists (taking over routine testing) while specialists keep doing the personal care that machines can’t. Being honest about what AI can and cannot do helps make sure people get the best care – and keeps the specialist’s human skills in demand [1] [1].

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More Career Info

Career: Hearing Aid Specialists

Employment & Wage Data

Median Wage

$61,560

Jobs (2024)

10,700

Growth (2024-34)

+18.4%

Annual Openings

1,000

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

75% ResilienceCore Task

Train clients to use hearing aids or other augmentative communication devices.

2

65% ResilienceCore Task

Maintain or repair hearing aids or other communication devices.

3

65% ResilienceCore Task

Demonstrate assistive listening devices (ALDs) to clients.

4

65% ResilienceCore Task

Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in audiology.

5

55% ResilienceCore Task

Select and administer tests to evaluate hearing or related disabilities.

6

55% ResilienceCore Task

Administer basic hearing tests including air conduction, bone conduction, or speech audiometry tests.

7

55% ResilienceCore Task

Create or modify impressions for earmolds and hearing aid shells.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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