AI exposure by occupation, O*NET 51-2023.00
Will AI replace Electromechanical Equipment Assemblers?
Electromechanical Equipment Assemblers: AI does not yet handle any of the role's 14 tasks; most of the work is hands-on, and the part AI can address mostly needs an efficient-tier model.
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Every task, scored
The 14 tasks O*NET 30.3 lists for Electromechanical Equipment Assemblers, from most to least exposed. None reaches 60, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Inspect, test, and adjust completed units to ensure that units meet specifications, tolerances, and customer order requirements. | Estimated | Efficient | |
| Position, align, and adjust parts for proper fit and assembly. | Estimated | No tier | |
| Assemble parts or units, and position, align, and fasten units to assemblies, subassemblies, or frames, using hand tools and power tools. | Estimated | No tier | |
| Connect cables, tubes, and wiring, according to specifications. | Estimated | No tier | |
| Measure parts to determine tolerances, using precision measuring instruments such as micrometers, calipers, and verniers. | Estimated | No tier | |
| Read blueprints and specifications to determine component parts and assembly sequences of electromechanical units. | Estimated | No tier | |
| Attach name plates and mark identifying information on parts. | Estimated | No tier | |
| File, lap, and buff parts to fit, using hand and power tools. | Estimated | No tier | |
| Disassemble units to replace parts or to crate them for shipping. | Estimated | No tier | |
| Clean and lubricate parts and subassemblies, using grease paddles or oilcans. | Estimated | No tier | |
| Drill, tap, ream, countersink, and spot-face bolt holes in parts, using drill presses and portable power drills. | Estimated | No tier | |
| Operate or tend automated assembling equipment, such as robotics and fixed automation equipment. | Estimated | No tier | |
| Operate small cranes to transport or position large parts. | Estimated | No tier | |
| Pack or fold insulation between panels. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 8% of the role's importance-weighted task work. 8% of the work is something AI can address at some tier, and 92% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
BLS Occupational Employment and Wage Statistics (May 2025) publishes no national employment or wage figure for this O*NET occupation.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Electrical and Electronic Equipment Assemblers 82% skill overlap, about 6 months to move Exposure29
- Engine and Other Machine Assemblers 77% skill overlap, about 8 months to move Exposure38
- Electro-Mechanical and Mechatronics Technologists and Technicians 68% skill overlap, about 11 months to move Exposure33
- Team Assemblers 67% skill overlap, about 12 months to move Exposure21
- Electrical and Electronics Repairers, Commercial and Industrial Equipment 65% skill overlap, about 13 months to move Exposure26
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Electromechanical Equipment Assemblers and AI
Will AI replace Electromechanical Equipment Assemblers?
Not on current evidence. None of the 14 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 15 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.
What is the AI exposure of Electromechanical Equipment Assemblers?
15 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.
Which Electromechanical Equipment Assemblers tasks can AI already do?
None reaches 60 yet. The most exposed task is: Inspect, test, and adjust completed units to ensure that units meet specifications, tolerances, and customer order requirements, at 20 out of 100.
What AI model tier does this role need?
An efficient-tier model or lower covers 8% of the role's importance-weighted task work, and 92% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Electromechanical Equipment Assemblers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/electromechanical-equipment-assemblers
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