Will AI replace Audiologists?
AI reaches a large part of this job’s work.
46/100
High exposure
More exposed to AI than 73% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 68% of the work
What the job involves
Assess and treat persons with hearing and related disorders. May fit hearing aids and provide auditory training. May perform research related to hearing problems.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(15)
- Maintain patient records at all stages, including initial and subsequent evaluation and treatment activities.
- Evaluate hearing and balance disorders to determine diagnoses and courses of treatment.
- Instruct patients, parents, teachers, or employers in communication strategies to maximize effective receptive communication.
- Counsel and instruct patients and their families in techniques to improve hearing and communication related to hearing loss.
- Refer patients to additional medical or educational services, if needed.
and 10 more
Out of reach(7)
- Fit, dispense, and repair assistive devices, such as hearing aids.
- Administer hearing tests and examine patients to collect information on type and degree of impairment, using specialized instruments and electronic equipment.
- Monitor patients' progress and provide ongoing observation of hearing or balance status.
- Examine and clean patients' ear canals.
- Educate and supervise audiology students and health care personnel.
and 2 more
Also called
Audiologist · Clinical Audiologist · Dispensing Audiologist · Educational Audiologist · Pediatric Audiologist · Hearing Therapist · Audiology Doctor (AUD) · Certificate of Clinical Competence in Audiology Licensed Audiologist (CCC-A Licensed Audiologist)
Related jobs
- Optometrists5/100
- Hearing Aid Specialists5/100
- Pediatricians, General34/100
- Neurologists37/100
- Pediatric Surgeons22/100
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