Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Audiologists:

55.6%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient audiology is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For audiology, six of eight sources had data, with Anthropic and Adaptive Capacity missing. AI exposure split noticeably: OpenAI Signals saw strong human involvement while our own AI Resilience Model rated exposure high, pulling confidence to medium. Strong pay signals from Wage Bill lifted economic opportunity, and that balance lands audiologists at "Mostly Resilient."

AI Resilience Report forAudiologists

$95,780 median salary600 annual openingsSOC Code: 29-1181.00

Audiologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Audiology is holding up well because the heart of the work involves things AI simply cannot do on its own, like physically examining ears, fitting implants, and building the kind of trusting relationship that helps patients adjust to hearing loss. AI is stepping in to handle time-consuming tasks like paperwork, documentation, and answering routine questions, which actually frees audiologists to spend more time on the hands-on, human-centered parts of their job.

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This role is mostly resilient

Audiology is holding up well because the heart of the work involves things AI simply cannot do on its own, like physically examining ears, fitting implants, and building the kind of trusting relationship that helps patients adjust to hearing loss. AI is stepping in to handle time-consuming tasks like paperwork, documentation, and answering routine questions, which actually frees audiologists to spend more time on the hands-on, human-centered parts of their job.

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Analysis of Current AI Resilience

Audiologists

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Audiologists jobs?

Right now, AI in audiology is mostly augmenting audiologists rather than replacing them. The American Academy of Audiology's Audiology Today [1] explains that generative AI is becoming a common presence in the field, offering tools to streamline documentation, patient education, and productivity — which matches the tasks with the highest automation scores in your role (record-keeping, admin, and public information). At the AAA 2026 industry panel covered by The Hearing Review [2], executives described AI chatbots that answer provider questions inside fitting software, cut customer-service training time by two months, and help audiologists move "from being reactive to predictive" by spotting patients who need follow-up.

Inside the devices themselves, Healthcare Brew reports [3] that hearing aids now use deep neural networks trained on huge sound datasets to separate speech from background noise better than older methods. Hands-on tasks like cleaning ear canals, fitting implants, and rehab counseling remain firmly human — XRAI Glass's founder told Hearing Health & Technology Matters [4] that even AI-powered captioning glasses are designed to support people, not replace clinicians.

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AI Adoption

How fast is AI adoption growing for Audiologists?

Adoption is moving fast on the tech side but slower in the clinic. Commercial AI products (smart hearing aids, teleaudiology platforms, ambient scribes) are already widely available, and audiologists.org notes [5] that a serious U.S. audiologist shortage is pushing practices to lean on teleaudiology and AI-enabled remote programming to keep up with demand. That labor gap plus rising OTC hearing aid competition creates strong economic pressure to adopt.

Slowing things down: healthcare regulations, patient trust, and safety concerns — audiologists still need to catch medical issues an app might miss.

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Will AI replace Audiologists?

Will AI replace Audiologists?

No. We don't think AI will replace audiologists, though we do expect the job to change.

Our AI Resilience Score for this career is 55.6%, which puts it in "Mostly Resilient" territory. That reflects a real but manageable shift: AI is already handling documentation, patient education, and administrative work, and hearing aids now use deep neural networks to separate speech from background noise better than older methods [3]. AI chatbots inside fitting software are also cutting training time and helping audiologists spot patients who need follow-up before problems escalate [2].

What stays human is significant. Cleaning ear canals, fitting implants, diagnosing underlying medical conditions, and guiding patients through hearing rehabilitation all require clinical judgment and personal trust that AI cannot replicate. Even AI-powered assistive tools are explicitly designed to support clinicians, not replace them [4].

The economic picture adds another reason for optimism. A genuine audiologist shortage in the United States is already pushing practices toward teleaudiology and AI-enabled remote programming just to keep up with demand [5]. That means AI is more likely to help audiologists serve more patients than to eliminate the need for them. The job will look different, but the core of it stays firmly human.

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Latest AI news for Audiologists

These articles highlight the transformative role of AI in audiology, showing how it can enhance diagnostic accuracy and streamline tasks like data analysis and basic screenings. For instance, the article on AI toolkits emphasizes that audiologists can focus more on patient care as AI handles routine tasks. This integration fosters a future where professionals are empowered rather than replaced, ensuring that audiologists remain essential in delivering personalized hearing care. Embracing AI will build resilience in this career, helping students adapt to the evolving landscape of hearing health.

More Career Info

Career: Audiologists

They help people hear better by testing their hearing, diagnosing issues, and providing solutions like hearing aids or therapy.

Employment & Wage Data

Median Wage

$95,780

Jobs (2025)

14,200

Growth (2025-35)

+11.0%

Annual Openings

600

Education

Doctoral or professional degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

96% ResilienceCore Task

Examine and clean patients' ear canals.

2

94% ResilienceCore Task

Fit, dispense, and repair assistive devices, such as hearing aids.

3

93% ResilienceCore Task

Plan and conduct treatment programs for patients' hearing or balance problems, consulting with educators, physicians, nurses, psychologists, speech-language pathologists, and other health care personn...

4

93% ResilienceCore Task

Work with multidisciplinary teams to assess and rehabilitate recipients of implanted hearing devices through auditory training and counseling.

5

92% ResilienceCore Task

Educate and supervise audiology students and health care personnel.

6

91% ResilienceCore Task

Counsel and instruct patients and their families in techniques to improve hearing and communication related to hearing loss.

7

88% ResilienceCore Task

Develop and supervise hearing screening programs.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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