AI exposure by occupation, O*NET 51-2021.00
Will AI replace Coil Winders, Tapers, and Finishers?
Coil Winders, Tapers, and Finishers: AI can already handle 1 of 11 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 11 tasks O*NET 30.3 lists for Coil Winders, Tapers, and Finishers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Review work orders and specifications to determine materials needed and types of parts to be processed. | Estimated | Efficient | |
| Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools. | Estimated | Efficient | |
| Operate or tend wire-coiling machines to wind wire coils used in electrical components such as resistors and transformers, and in electrical equipment and instruments such as bobbins and generators. | Estimated | No tier | |
| Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools. | Estimated | No tier | |
| Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers. | Estimated | No tier | |
| Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results. | Estimated | No tier | |
| Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes. | Estimated | No tier | |
| Record production and operational data on specified forms. | Estimated | No tier | |
| Line slots with sheet insulation, and insert coils into slots. | Estimated | No tier | |
| Stop machines to remove completed components, using hand tools. | Estimated | No tier | |
| Apply solutions or paints to wired electrical components, using hand tools, and bake components. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 11 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 11 of 11. 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 18% of the role's importance-weighted task work. 18% of the work is something AI can address at some tier, and 82% 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
- US employment
- 12,840
- Median annual wage
- $48,220
- Middle half of earners
- $42,050 to $58,770
- Projected change, 2024 to 2034
- -6.3%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
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.
- Electric Motor, Power Tool, and Related Repairers 67% skill overlap, about 12 months to move Exposure18
- Electromechanical Equipment Assemblers 64% skill overlap, about 13 months to move Exposure15
- Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders 63% skill overlap, about 13 months to move Exposure21
- Engine and Other Machine Assemblers 63% skill overlap, about 13 months to move Exposure38
- Electrical and Electronic Equipment Assemblers 62% skill overlap, about 14 months to move Exposure29
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Coil Winders, Tapers, and Finishers and AI
Will AI replace Coil Winders, Tapers, and Finishers?
AI already handles 1 of the 11 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 20 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. BLS projects employment to change by -6.3% from 2024 to 2034.
What is the AI exposure of Coil Winders, Tapers, and Finishers?
20 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 11 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 11 are estimated from each task's O*NET work activity.
Which Coil Winders, Tapers, and Finishers tasks can AI already do?
The tasks with the highest exposure are: Review work orders and specifications to determine materials needed and types of parts to be processed. It is the only task that reach 60 or more.
What AI model tier does this role need?
An efficient-tier model or lower covers 18% of the role's importance-weighted task work, and 82% 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 many people work as Coil Winders, Tapers, and Finishers, and what do they earn?
12,840 people in the United States, with a median annual wage of $48,220 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -6.3% from 2024 to 2034.
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: Coil Winders, Tapers, and Finishers. 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/coil-winders-tapers-and-finishers
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