Will AI replace Audiologists?
Work in Audiologists sits in the in-between: AI reaches some of it (~45% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 29-1181
How your 22 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~45%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~45%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 22 tasks, ratedBased on real task-level AI scores — click to collapse
- Maintain patient records at all stages, including initial and subsequent evaluation and treatment activities.
- Perform administrative tasks, such as managing office functions and finances.
- Provide information to the public on hearing or balance topics.
- Evaluate hearing and balance disorders to determine diagnoses and courses of treatment.
- Monitor patients' progress and provide ongoing observation of hearing or balance status.
- 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.
- Participate in conferences or training to update or share knowledge of new hearing or balance disorder treatment methods or technologies.
- Recommend assistive devices according to patients' needs or nature of impairments.
- Advise educators or other medical staff on hearing or balance topics.
- Program and monitor cochlear implants to fit the needs of patients.
- Plan and conduct treatment programs for patients' hearing or balance problems, consulting with educators, physicians, nurses, psychologists, speech-language pathologists, and other health care personnel, as necessary.
- Work with multidisciplinary teams to assess and rehabilitate recipients of implanted hearing devices through auditory training and counseling.
- Conduct or direct research on hearing or balance topics and report findings to help in the development of procedures, technology, or treatments.
- Engage in marketing activities, such as developing marketing plans, to promote business for private practices.
- Measure noise levels in workplaces and conduct hearing conservation programs in industry, military, schools, and communities.
- Develop and supervise hearing screening programs.
- 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.
- Instruct patients, parents, teachers, or employers in communication strategies to maximize effective receptive communication.
- Examine and clean patients' ear canals.
- Educate and supervise audiology students and health care personnel.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.