Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 51-2022.00
Assemble or modify electrical or electronic equipment, such as computers, test equipment telemetering systems, electric motors, and batteries.
Also called: Assembler · Electrical Assembler · Electronics Assembler · Transformer Assembler · Assembly Worker · Electronic Assembler · Factory Assembler · Manufacturing Assembler · Anode Builder · Armature Assembler · Assembly Technician (Assembly Tech) · Automobile Lights Assembler
Job family: Production Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-51-2022-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Low | 31st | -0.6 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 20th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.1), and including AI-powered software (γ 0.2). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.9 · 89th percentile among occupations · High
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Read and interpret schematic drawings, diagrams, blueprints, specifications, work orders, or reports to determine materials requirements or assembly instructions. | 0.3% | |
| Measure and adjust voltages to specified values to determine operational accuracy of instruments. | 0.2% |
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Electrical and Electronic Equipment Assemblers · 8212 | 28% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
All 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Near Vision | 4.0 | |
| Finger Dexterity | 3.8 | |
| Oral Comprehension | 3.5 | |
| Arm-Hand Steadiness | 3.4 | |
| Manual Dexterity | 3.4 | |
| Information Ordering | 3.3 | |
| Written Comprehension | 3.1 | |
| Oral Expression | 3.1 | |
| Inductive Reasoning | 3.1 | |
| Visualization | 3.1 | |
| Problem Sensitivity | 3.0 | |
| Deductive Reasoning | 3.0 | |
| Control Precision | 3.0 | |
| Multilimb Coordination | 3.0 | |
| Visual Color Discrimination | 3.0 | |
| Speech Recognition | 3.0 | |
| Category Flexibility | 2.9 | |
| Perceptual Speed | 2.9 | |
| Selective Attention | 2.9 | |
| Speech Clarity | 2.9 | |
| Written Expression | 2.8 | |
| Static Strength | 2.8 | |
| Trunk Strength | 2.8 | |
| Far Vision | 2.8 |
| Reading Comprehension | 3.3 | |
| Monitoring | 3.1 | |
| Active Listening | 3.0 | |
| Critical Thinking | 3.0 | |
| Writing | 2.9 | |
| Speaking | 2.9 | |
| Active Learning | 2.6 |
| Operations Monitoring | 3.1 | |
| Judgment and Decision Making | 3.1 | |
| Coordination | 3.0 | |
| Operation and Control | 2.9 | |
| Quality Control Analysis | 2.9 | |
| Time Management | 2.9 | |
| Social Perceptiveness | 2.6 |
| Production and Processing | 2.9 | |
| Mechanical | 2.6 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
Share of people in this occupation at each level of education.
| High School Diploma | 54.7% | |
| Less than a High School Diploma | 25.5% | |
| Some College Courses | 11.7% | |
| Post-Secondary Certificate | 8.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 7.0 | |
| Conventional | 4.0 | |
| Investigative | 3.3 | |
| Artistic | 1.7 |
| Attention to Detail | 2.7 | |
| Dependability | 2.3 | |
| Cautiousness | 1.9 |
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Electrical and Electronic Equipment Assemblers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 52nd percentile of 427 international occupations.
Electrical and Electronic Equipment Assemblers sit at the 24th percentile of AI task overlap among U.S. occupations
Electrical and Electronic Equipment Assemblers sit at the 24th percentile of AI task overlap among U.S. occupations • Electrical and Electronic Equipment Assemblers rank in the 24th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) Source: Singulariki — "Electrical and Electronic Equipment Assemblers". https://singulariki.com/roles/role-51-2022-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
Singulariki. "Electrical and Electronic Equipment Assemblers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “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/roles/role-51-2022-00
Singulariki. (2026). Electrical and Electronic Equipment Assemblers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-2022-00
@misc{singulariki-role-51-2022-00,
title = {Electrical and Electronic Equipment Assemblers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “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/roles/role-51-2022-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.