As of November 2026, Medical Appliance Technicians has an AI-exposure score of 44/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 31.0 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Medical Appliance Technicians

44/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 15% of the roles we track. Median pay ~US$48,030. About 1,500 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Medical Appliance Technicians?

No exposure score can predict whether AI will replace this role. The 44/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 31.0 exact occupation

Construct, maintain, or repair medical supportive devices such as braces, orthotics and prosthetic devices, joints, arch supports, and other surgical and medical appliances.

Common titles
Certified Orthotist (CO)Certified Prosthetist (CP)Orthotic Technician (Orthotic Tech)Prosthetic Technician (Prosthetic Tech)Certified PedorthotistHearing Aid Repair Technician (Hearing Aid Repair Tech)
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingReading ComprehensionSpeakingJudgment and Decision MakingMonitoringSocial Perceptiveness
Work context
Indoor controlled settingFrequent contact with othersDecision latitudeRepeating tasks

Source: O*NET 31.0 exact occupation - Medical Appliance Technicians, SOC 51-9082.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Medical Appliance Technicians tasks, by AI exposure

Automatable
  • Repair, modify, or maintain medical supportive devices, such as artificial limbs, braces, or surgical supports, according to specifications.
  • Service or repair machinery used in the fabrication of appliances.
  • Read prescriptions or specifications to determine the type of product or device to be fabricated and the materials and tools required.
4 more automatable tasks locked in the report.
Augmentable
  • Construct or receive casts or impressions of patients' torsos or limbs for use as cutting and fabrication patterns.
  • Test medical supportive devices for proper alignment, movement, or biomechanical stability, using meters and alignment fixtures.
7 more augmentable tasks locked in the report.
Durable

No durable tasks identified for this role - its individually-assessed tasks split 56% augmentable / 44% automatable.

We analyzed all 16 Medical Appliance Technicians tasks - 7 automatable and 9 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Structural Metal Fabricators and Fitters
56% skills overlap; 2 points higher - similar exposure within the 5-point model resolution; Moderate band; ~US$51,330
View path
46
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Repair, modify, or maintain medical supportive devices, such as artificial limbs, braces, or surgical supports, according to specifications.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

AI now appears in 7.3% of U.S. job postings on Indeed, up from 1.7% in January 2019 - the skills employers ask for are shifting, and adapting early pays. - Indeed Hiring Lab AI Tracker, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Medical Appliance Technicians - median pay by US state (BLS OEWS, USD)

California: US$51,530New York: US$48,080Texas: US$46,430Florida: US$46,110

Median annual wage, in USD. US national: US$48,030. More states are being added.

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