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Computer, Automated Teller, and Office Machine Repairers vs Electrical and Electronic Engineering Technologists and Technicians

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Computer, Automated Teller, and Office Machine Repairers and Electrical and Electronic Engineering Technologists and Technicians on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Computer, Automated Teller, and Office Machine Repairers Electrical and Electronic Engineering Technologists and Technicians
Median pay · BLS OEWS
$46,860
$77,180
Employment · BLS OEWS
73,010
92,710
AI exposure (percentile) · task overlap, not automation
54th pct
68th pct

At a glance

Dimension Computer, Automated Teller, and Office Machine Repairers Electrical and Electronic Engineering Technologists and Technicians
Median pay $46,860 $77,180
Employment 73,010 92,710
Employment outlook (2024–34) · BLS projection Declining (-0.9%) About average (+0.6%)
Annual openings · BLS projection 7,600 8,400
Typical education · O*NET Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
AI exposure · published exposure studies Moderate · 54th pct High · 68th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 44th pct · 24% of tasks 66th pct · 36% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (63.9%) —
Mostly remote-capable · Dingel–Neiman No No

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Computers and Electronics, Customer and Personal Service, Near Vision, Oral Comprehension, Mechanical, Active Listening, Repairing, Oral Expression, Problem Sensitivity, Critical Thinking, Written Comprehension, Speech Recognition, Speech Clarity, Complex Problem Solving, Troubleshooting, Information Ordering, Visualization, Speaking, Reading Comprehension, Operations Monitoring, Deductive Reasoning, Inductive Reasoning, Engineering and Technology, English Language, Writing, Active Learning, Monitoring, Coordination, Judgment and Decision Making, Written Expression.

Specific to Computer, Automated Teller, and Office Machine Repairers

  • Finger Dexterity
  • Equipment Selection
  • Equipment Maintenance
  • Quality Control Analysis
  • Time Management
  • Arm-Hand Steadiness
  • Manual Dexterity
  • Control Precision

Specific to Electrical and Electronic Engineering Technologists and Technicians

  • Design
  • Mathematics
  • Category Flexibility
  • Perceptual Speed
  • Visual Color Discrimination
  • Production and Processing
  • Telecommunications
  • Systems Analysis

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Spreadsheet software , Office suite software , Document management software , Web platform development software , Operating system software , Data base user interface and query software , Electronic mail software , Presentation software , Word processing software , Object or component oriented development software .

Specific to Computer, Automated Teller, and Office Machine Repairers

Specific to Electrical and Electronic Engineering Technologists and Technicians

Full profiles

This page is a summary. See the complete source-backed profile for Computer, Automated Teller, and Office Machine Repairers or Electrical and Electronic Engineering Technologists and Technicians — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Computer, Automated Teller, and Office Machine Repairers vs Electrical and Electronic Engineering Technologists and Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/computer-automated-teller-and-office-machine-repairers-vs-electrical-and-electronic-engineering-technologists-and-technicians

APA

Singulariki. (2026). Computer, Automated Teller, and Office Machine Repairers vs Electrical and Electronic Engineering Technologists and Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/computer-automated-teller-and-office-machine-repairers-vs-electrical-and-electronic-engineering-technologists-and-technicians

BibTeX 
@misc{singulariki-computer-automated-teller-and-office-machine-repairers-vs-electrical-and-electronic-engineering-technologists-and-technicians,
  title  = {Computer, Automated Teller, and Office Machine Repairers vs Electrical and Electronic Engineering Technologists and Technicians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/computer-automated-teller-and-office-machine-repairers-vs-electrical-and-electronic-engineering-technologists-and-technicians}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.