Computer, automated teller, and office machine repairers
SOC Code: 49-2011
Computer, automated teller, and office machine repairers carries a 39% AI exposure score (Medium automation risk), with a median annual wage of $46,860 and -0.9% projected employment growth from 2024 to 2034 (BLS), affecting approximately 79,100 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Computer, automated teller, and office machine repairers (SOC 49-2011) carries an AI exposure score of 39%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 79,100 workers in this occupation in 2024, and projects a -0.9% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $46,860, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Some college, no degree, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Computer, automated teller, and office machine repairers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Reassemble machines after making repairs or replacing parts.
- 2. Converse with customers to determine details of equipment problems.
- 3. Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices.
- 4. Advise customers concerning equipment operation, maintenance, or programming.
- 5. Align, adjust, or calibrate equipment according to specifications.
- 6. Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment.
- 7. Travel to customers' stores or offices to service machines or to provide emergency repair service.
- 8. Maintain parts inventories and order any additional parts needed for repairs.
- 9. Operate machines to test functioning of parts or mechanisms.
- 10. Reinstall software programs or adjust settings on existing software to fix machine malfunctions.
Key Skills Required
- Active Listening
- Repairing
- Critical Thinking
- Complex Problem Solving
- Troubleshooting
- Speaking
- Equipment Selection
- Equipment Maintenance
- Quality Control Analysis
- Time Management
Knowledge Areas
- Computers and Electronics
- Customer and Personal Service
- Mechanical
- Engineering and Technology
- English Language
- Education and Training
- Transportation
- Telecommunications
- Production and Processing
- Mathematics
Frequently Asked Questions
Will AI replace Computer, automated teller, and office machine repairers?
Computer, automated teller, and office machine repairers has an AI exposure score of 39%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Computer, automated teller, and office machine repairers?
According to BLS Employment Projections 2024-2034, Computer, automated teller, and office machine repairers is projected to decline by 0.9% over the decade. Current employment stands at approximately 79,100 workers.
What skills are needed for Computer, automated teller, and office machine repairers?
Key skills for Computer, automated teller, and office machine repairers include Active Listening, Repairing, Critical Thinking, and others. Typical entry-level education is Some college, no degree.
How much do Computer, automated teller, and office machine repairers earn?
The median annual wage for Computer, automated teller, and office machine repairers is $46,860, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Computer, automated teller, and office machine repairers?
The typical entry-level education for Computer, automated teller, and office machine repairers is Some college, no degree. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Computer, automated teller, and office machine repairers?
Computer, automated teller, and office machine repairers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).