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Will AI replace Audiologist?
Healthcare Practitioners and Technical · $95,780 median pay · Graduate or professional degree
Automation exposure
How much of the work AI can already do
More exposed than 46% of the occupations in the index.
Averaged across 22 O*NET tasks, weighted by importance.
AI assistance potential
How much AI tools make the worker more capable
Audiologists benefit from AI tools primarily in administrative tasks, report drafting, diagnostic data interpretation, and advanced hearing aid fitting algorithms. Modern hearing aids increasingly incorporate machine learning for adaptive sound processing, and AI software can help analyze audiometric data to suggest optimal device configurations. However, core tasks such as physical ear canal examinations, ear wax removal, physical fitting of hardware, and empathetic patient counseling require direct human intervention, capping the overall augmentation potential to meaningful gains in specific clinical and administrative workflows.
What the work involves and who it suits, beyond AI.
What the two scores mean
Automation exposure is how much of the work current AI can already perform. A high score means the tasks are exposed, not that the job will disappear: how employers use that is a separate question.
AI assistance potential is how much AI tools make a worker in this occupation more capable. It is upside, not risk — a job can score high on both.
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