Will AI replace Electrical and Electronic Equipment Assemblers?
AI reaches little of this job’s work.
9/100
Low exposure
More exposed to AI than 20% of US workers.
- AI already used in
- 6% of the work
- As AI tools mature: up to
- 18% of the work
What the job involves
Assemble or modify electrical or electronic equipment, such as computers, test equipment telemetering systems, electric motors, and batteries.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Read and interpret schematic drawings, diagrams, blueprints, specifications, work orders, or reports to determine materials requirements or assembly instructions.
Within reach(3)
- Inspect or test wiring installations, assemblies, or circuits for resistance factors or for operation, and record results.
- Mark and tag components so that stock inventory can be tracked and identified.
- Complete, review, or maintain production, time, or component waste reports.
Out of reach(13)
- Assemble electrical or electronic systems or support structures and install components, units, subassemblies, wiring, or assembly casings, using rivets, bolts, soldering or micro-welding equipment.
- Explain assembly procedures or techniques to other workers.
- Confer with supervisors or engineers to plan or review work activities or to resolve production problems.
- Adjust, repair, or replace electrical or electronic components to correct defects and to ensure conformance to specifications.
- Distribute materials, supplies, or subassemblies to work areas.
and 8 more
Also called
Electrical Assembler · Assembler · Electronic Assembler · Electronics Assembler · Commutator Assembler · Electric Motor Assembler · Field Ring Assembler · Battery Assembler
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics