Will AI replace hearing aid specialists?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 7h 38m (95%) stays with people. Separately, BLS expects about 19.4% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 11 tasks, about 22m of a typical shift. The biggest ones:

• Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in audiology. (22m a shift, people use AI to help)

Not in workplaces like this one, based on a 2026 review of robot deployments. For 8 physical tasks, no robot has shown it can do the work yet.

7h 38m of a typical shift, or 95%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Maintain or repair hearing aids or other communication devices. (1h 27m a shift)
• Train clients to use hearing aids or other augmentative communication devices. (1h 13m a shift)
• Administer basic hearing tests including air conduction, bone conduction, or speech audiometry tests. (1h 13m a shift)
• Counsel patients and families on communication strategies and the effects of hearing loss. (58m a shift)
• Select and administer tests to evaluate hearing or related disabilities. (44m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% say dealing with the public is very or extremely important
• 68% are in constant contact with other people
• 56% use their hands on tools, objects or controls more than half the time

On Indeed, job postings in the Medical Technician sector are at 125% of their February 2020 level (all U.S. postings: 104%), down 2.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 900 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $65,160 a year ($31.33 an hour), 28% above the median for all U.S. jobs ($50,980). Most people in this job earn between $38,400 and $94,020 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 19.4% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 13,000 jobs in 2035. It expects about 900 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 11,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 652nd largest of the 796 jobs on this site. BLS expects about 13,000 in 2035.

The most common requirement is a doctoral degree: about 44% of people in the job said so in the official O*NET survey. O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Service Orientation, Instructing, Persuasion, Active Listening
• Get strong at the parts of the job that stay with people (listed above), which take 7h 38m of a typical shift
• Tools employers list: Microsoft Office software, Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Dental Assistants (0m touched, $48k median pay)
• Orthotists and Prosthetists (0m touched, $81k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 10 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.