Shigoto Zukan
日本語

Will AI replace medical appliance technicians?AI replacement risk 33% and how the work is changing

United States Manufacturing & Repair Confidence ★★★★★

Median annual pay
$48,030
25th–75th pct. $42,210–$60,580
Top pay (est.)
$98,500
Top 10% $75,740
Pay in 5 years
$56,000est.
2031
Pay in 10 years
$65,200est.
$56,100–$75,700
Outlook score
55/100
★★★☆☆ Average
AI replacement risk
33%
Low
Job growth (10 yr)
+3.5%
1,300 openings / yr

Will AI replace Medical Appliance Technicians? AI replacement risk

33%
Low
Ranked #287 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Skills, education and requirements for Medical Appliance Technicians

Key skills

Quality Control Analysis
3.9
Critical Thinking
3.8
Reading Comprehension
3.8
Active Listening
3.6
Speaking
3.4
Social Perceptiveness
3.2
Active Learning
3.1
Monitoring
3.1

O*NET skill level ratings (0–7).

Key knowledge areas

Production and Processing
4.3
Administrative
3.9
Design
3.8
Engineering and Technology
3.7
Mathematics
3.7
Administration and Management
3.7
Mechanical
3.5
Computers and Electronics
3.2

What the work involves

Handling and Moving ObjectsUpdating and Using Relevant KnowledgeEstablishing and Maintaining Interpersonal RelationshipsMonitoring Processes, Materials, or SurroundingsThinking CreativelyInspecting Equipment, Structures, or MaterialsOrganizing, Planning, and Prioritizing WorkIdentifying Objects, Actions, and Events

Important abilities

Near VisionOral ExpressionOral ComprehensionVisualizationFinger DexterityDeductive Reasoning

Training before entry

Up to 1 month
39%
1–2 years
32%
2–4 years
4%
4–10 years
3%
6–12 months
2%
1–3 months
2%

Related work experience

None
33%
1–2 years
26%
2–4 years
16%
Over 10 years
4%
8–10 years
3%
6–12 months
1%
3–6 months
1%

Job Zone 2 — some preparation needed (O*NET)

Difficulty of entry: ★★☆☆☆ Fairly easy (from education, training, experience and Job Zone)

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.