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
Typical exposure

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

Projected Growth
-0.9%
Typical growth
2024–2034 (BLS)
-700 jobs
Median Annual Wage
$46,860
Typical pay
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
F

Career outlook score

29/100

Computer, automated teller, and office machine repairers, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage F $46,860

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth F -0.9%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 39% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Computer, automated teller, and office machine repairers in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

Computer, automated teller, and office machine repairers keeps an HS / some college bar (333 of 832) and sits in Slow growth (245 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

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.

Where Computer, automated teller, and office machine repairers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

39% Around the middle lower than 33% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

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 (%) →Computer, AI exposure (%) →: 39% · Projected growth (%) →: -0.9%ComputerMaintenance, AI exposure (%) →: 20% · Projected growth (%) →: 3.8%MaintenanceAutomotive service t, AI exposure (%) →: 23% · Projected growth (%) →: 4.2%Automotive service tFirst-line superviso, AI exposure (%) →: 45% · Projected growth (%) →: 3.1%First-line supervisoIndustrial machinery, AI exposure (%) →: 33% · Projected growth (%) →: 16.1%Industrial machineryHeating, AI exposure (%) →: 26% · Projected growth (%) →: 8.1%HeatingBus, AI exposure (%) →: 23% · Projected growth (%) →: 2.4%BusInstallation, AI exposure (%) →: 33% · Projected growth (%) →: 2.4%InstallationMobile heavy equipme, AI exposure (%) →: 29% · Projected growth (%) →: 5.8%Mobile heavy equipmeAutomotive body, AI exposure (%) →: 21% · Projected growth (%) →: 1.6%Automotive bodyTelecommunications e, AI exposure (%) →: 16% · Projected growth (%) →: -4.2%Telecommunications eAircraft mechanics, AI exposure (%) →: 13% · Projected growth (%) →: 4%Aircraft 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)

Where This Score Comes From

Computer, automated teller, and office machine repairers's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the 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 employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 49-2011) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Computer, automated teller, and office machine repairers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

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.

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.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Computer, automated teller, and office machine repairers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (39% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (-0.9% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Computer, automated teller, and office machine repairers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

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).

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.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.