Share and intensity of work current AI systems can materially affect.
SOC 49-9062
Medical Equipment Repairers AI displacement risk
Hospitals keep buying sophisticated, software-driven medical devices — and every one needs installation, calibration, safety testing, and repair by a qualified technician. Device complexity and regulatory requirements make this a growth trade, not an automation target.
Likely potential for exposed tasks to move to software after workflow integration.
The occupation maintains the technology other healthcare workers use, including AI-enabled imaging and monitoring systems. Safety regulations require documented human testing of devices that touch patients, which structurally protects the role.
Distribution
Where Medical Equipment Repairers sits across 620 tracked roles
Displacement pressure 18 — higher than 20% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
20 O*NET task statements matched to SOC 49-9062. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $61,660 (May 2025, US national). The latest BLS row matched SOC 49-9062.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Medical Equipment Repairers
SOC 49-9062 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 18/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Medical Equipment Repairers
The current evidence import matched 20 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks20
SOC49-9062
- Core task / ID 3066
Test or calibrate components or equipment, following manufacturers' manuals and troubleshooting techniques, using hand tools, power tools, or measuring devices.
- Core task / ID 3065
Perform preventive maintenance or service, such as cleaning, lubricating, or adjusting equipment.
- Core task / ID 23980
Inspect, test, or troubleshoot malfunctioning medical or related equipment, following manufacturers' specifications and using test and analysis instruments.
- Core task / ID 3064
Keep records of maintenance, repair, and required updates of equipment.
- Core task / ID 3063
Disassemble malfunctioning equipment and remove, repair, or replace defective parts, such as motors, clutches, or transformers.
- Core task / ID 3062
Examine medical equipment or facility's structural environment and check for proper use of equipment to protect patients and staff from electrical or mechanical hazards and to ensure compliance with safety regulations.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Test and troubleshoot medical equipment
Exposure 34, automation 15%, augmentation 58%.
O*NET evidence: Inspect, test, or troubleshoot malfunctioning medical or related equipment, following m... (ID 23980)
Perform preventive maintenance and calibration
Exposure 26, automation 11%, augmentation 44%.
O*NET evidence: Perform preventive maintenance or service, such as cleaning, lubricating, or adjusting ... (ID 3065)
Install new medical devices
Exposure 24, automation 10%, augmentation 42%.
O*NET evidence: Install medical equipment. (ID 23981)
Document maintenance for compliance
Exposure 50, automation 27%, augmentation 62%.
TaskExposureAutomationAugmentation
Test and troubleshoot medical equipment3415%58%
Perform preventive maintenance and calibration2611%44%
Install new medical devices2410%42%
Document maintenance for compliance5027%62%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowBiomedical Equipment Specialist, Imaging
Training horizon: 6-12 months. Skill overlap 68. Wage preservation signal 118.
- Train on imaging modalities
- Earn manufacturer certifications
- Own modality uptime
role redesign
LowHealthcare Technology Manager
Training horizon: 3-8 months. Skill overlap 64. Wage preservation signal 124.
- Manage device inventories
- Own compliance programs
- Lead technician teams
Comparison guides
Compare the next move before you commit
6-12 months
Medical Equipment Repairers to Biomedical Equipment Specialist, Imaging
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Medical Equipment Repairers into Biomedical Equipment Specialist, Imaging.
3-8 months
Medical Equipment Repairers to Healthcare Technology Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Medical Equipment Repairers into Healthcare Technology Manager.
What the AI risk score means for Medical Equipment Repairers
The displacement pressure score for Medical Equipment Repairers is 18. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Document maintenance for compliance carries 27% automation pressure, while Document maintenance for compliance carries 62% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $61,660 (May 2025, US national). Employment context: Healthcare technology maintenance role with device-complexity growth. Typical education: Associate degree common.
Wage vulnerability is 44, while transition feasibility is 66. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Very low displacement pressure
- Device complexity grows the trade
- Patient-safety testing requires humans
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Medical Equipment Repairers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Equipment diagnostics
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Safety testing
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Calibration
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Documentation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Biomedical Equipment Specialist, Imaging, such as train on imaging modalities.
- By 90 days, compare internal openings and external postings for Biomedical Equipment Specialist, Imaging or Healthcare Technology Manager and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Medical Equipment Repairers
Will AI replace Medical Equipment Repairers?
Hospitals keep buying sophisticated, software-driven medical devices — and every one needs installation, calibration, safety testing, and repair by a qualified technician. Device complexity and regulatory requirements make this a growth trade, not an automation target. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Medical Equipment Repairers work are most exposed to AI?
Document maintenance for compliance and Test and troubleshoot medical equipment show the strongest automation pressure in this model. Document maintenance for compliance and Test and troubleshoot medical equipment are better treated as AI-augmented work.
What should Medical Equipment Repairers learn next?
Start with Equipment diagnostics, Safety testing, Calibration. The most practical adjacent paths in this model are Biomedical Equipment Specialist, Imaging and Healthcare Technology Manager.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics