Medium AI Risk Slow Growth

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.

AI Exposure Score
39% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-0.9%
2024–2034 (BLS)
-700 jobs
Median Annual Wage
$46,860
BLS May 2024
How wage figures are sourced →
The verdict

At 39% AI exposure, Computer, automated teller, and office machine repairers sits 2 points above the 37.2% average across 832 U.S. occupations - more exposed than 67% of them. Most of its core tasks still require human judgment.

39%
AI exposure
Top 33%
most exposed
-0.9%
Job growth 2024–34
$46,860
Median wage

Where Computer, automated teller, and office machine repairers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Computer, automated teller, and office machine repairers marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 33% by AI exposure Higher AI exposure than 67% of all 832 occupations.

Computer, automated teller, and office machine repairers has ai exposure of 39%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Computer, automated teller, and office machine repairers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Computer, automated teller, and office machine repairers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk11.4%20.2%29%37.8%46.6%-5.2%0.4%6.0%11.5%17.1%AI exposure (%) →Projected growth (%) →ComputerMaintenanceAutomotive service tFirst-line supervisoIndustrial machineryHeatingBusInstallationMobile heavy equipmeAutomotive bodyTelecommunications eAircraft mechanics

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

79,100
Employment 2024
78,400
Projected 2034
-0.9%
Change (%)
-700
Change (jobs)

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

Typical Education
Some college, no degree
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Reassemble machines after making repairs or replacing parts.
  2. 2. Converse with customers to determine details of equipment problems.
  3. 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. 4. Advise customers concerning equipment operation, maintenance, or programming.
  5. 5. Align, adjust, or calibrate equipment according to specifications.
  6. 6. Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment.
  7. 7. Travel to customers' stores or offices to service machines or to provide emergency repair service.
  8. 8. Maintain parts inventories and order any additional parts needed for repairs.
  9. 9. Operate machines to test functioning of parts or mechanisms.
  10. 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

1.9
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

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).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.