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Computer, Automated Teller, and Office Machine Repairers

Installation, Maintenance, and Repair · SOC 49-2011

10.7% AI Exposure — Medium
$47,810
Median Annual Salary
Average
O*NET Outlook
11,900
Proj. Annual Openings
65,600
Employment (OEWS 2025)
-6.5%/yr
Empl. growth (2019–2025)
89/100
AI Resiliency Score

AI exposure from the Anthropic Economic Index (2025); salary from BLS; skills from O*NET. See /sources.

Decision card

Career Evidence Passport

SOC 49-2011 evidence across exposure, wages, projections, postings, certified LCAs, skills, and transitions.

Proxy / seed data labeledDescriptive-only
SOC exposure
10.7%
Medium · Anthropic AEI
Automation friction
67/100
High friction; broad SOC seed ORS job-requirements coverage.
Wages
$47,810
H-1B offered wage $27,685; LCAs are filings.
Projected openings
11,900
BLS EP 2024–2034; employment change -0.9%.
Observed/proxy demand
3
FY2025 certified LCAs; 14,023 postings in 2025.

Skill evidence

Active ListeningRepairingCritical ThinkingComplex Problem SolvingTroubleshooting
  • H-1B values are certified Labor Condition Applications, not visa approvals.
  • Job postings are seed-static / seed-derived; treat as provider-ready proxy coverage until observed provider data is wired in.
  • Transition matches are directional skill-overlap context, not placement guarantees.
  • This release is a FutureGrid broad-SOC seed derived from public BLS ORS requirement concepts and categories, not direct occupation-level ORS survey estimates. It describes job requirements, not worker ability, AI capability, or displacement probability. Automation friction is a FutureGrid derived score and should be read alongside exposure, demand, wage, and projection signals.

Best transitions from here

Explore all pathways

Lower AI-exposure roles that reuse your skills, ranked by a transition score (skills that transfer, safety gain, pay and retraining effort).

AI Exposure Analysis

AI Exposure10.7%
AI Resiliency89/100
Exposure BandMedium
Sector Avg. Exposure1.6%

Across AI measures

Multiple exposure lenses for this occupation.

34.3%
Consensus
Actual adoption · Anthropic10.7%
AI capability · OpenAI36.7%
AI ability · AIOE55.4%
Automation baseline (2013) · Frey & Osborne74%

AI could do ~36.7% of this role but only ~10.7% is currently done with AI — a large capability-vs-adoption gap.

Top Skills

1.Active Listening
2.Repairing
3.Critical Thinking
4.Complex Problem Solving
5.Troubleshooting

H-1B Visa Sponsorship Demand

View full H-1B trends →

Certified H-1B Labor Condition Applications naming this occupation, FY2016–FY2025. A descriptive high-skill labor-demand signal — employer filings, not visa approvals or individual outcomes. Note: one LCA can cover multiple worker positions.

6
Decade Total (Certified LCAs)
3
FY2025 Volume
0% of all H-1B filings in FY2025
$27,685
Median Offered Wage (Latest Year)
#499 of 776
Rank by Total Volume
H-1B filing volume, FY2016–FY2025

O*NET occupation profile

What this work involves

Repair, maintain, or install computers, word processing systems, automated teller machines, and electronic office machines, such as duplicating and fax machines.

Common titles: ATM Technician (Automated Teller Machine Technician), Computer Repair Technician, Computer Technician, Copier Technician, Customer Service Engineer, Field Engineer

Representative Tasks

  • Reassemble machines after making repairs or replacing parts.
  • Converse with customers to determine details of equipment problems.
  • Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices.
  • Advise customers concerning equipment operation, maintenance, or programming.
  • Align, adjust, or calibrate equipment according to specifications.

Detailed Work Activities

  • Confer with customers or users to assess problems.
  • Reassemble equipment after repair.
  • Disassemble equipment to inspect for deficiencies.
  • Train customers in the use of products.
  • Adjust equipment to ensure optimal performance.

Tools & Technologies

Hypertext markup language HTML · hotJavaScript · hotLinux · hotMicrosoft Access · hotMicrosoft Active Server Pages ASP · hotMicrosoft Outlook · hotMicrosoft PowerPoint · hotMicrosoft Windows · hotServiceNow · hotStructured query language SQL · hot

Employment Projections & AI Exposure

15
Occupations Shown
1.9%
Avg AI Exposure
4
Bright Outlook
Horizontal bar chart showing occupations with the highest projected annual openings. Each bar length represents annual projected openings. Color uses a gradient from violet (lower) to cyan (higher). Summary statistics are shown above the chart.

Employment & Wage Trend

BLS OEWS, 2019–2025


Occupation Employment & Wage TrendMulti-year BLS OEWS history for SOC 49-2011: 2019 — employment: 98,260, median wage: $39,530; 2020 — employment: 91,930, median wage: $41,090; 2021 — employment: 86,420, median wage: $40,970; 2022 — employment: 81,440, median wage: $44,910; 2023 — employment: 77,580, median wage: $45,760; 2025 — employment: 65,600, median wage: $47,810.

Source: U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS). See /sources.

Sector Comparison

MetricThis CareerSector Average
AI Exposure10.7%1.6%
OutlookAverage24% Bright
Median Salary$47,810N/A
AI Resiliency89/100N/A