Manufacturing & Production · Updated Aug 2026

Coil Winders, Tapers, and Finishers

Wind wire coils used in electrical components, such as resistors and transformers, and in electrical equipment and instruments, such as field cores, bobbins, armature cores, electrical motors, generators, and control equipment.

JVS 2.0.0-phase4b
AI Exposure
52/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
43/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence84/100
Task coverage90%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Review work orders and specifications to determine materials needed and types of parts to be processed.High
70
Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.High
68
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.High
60
Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.High
65
Line slots with sheet insulation, and insert coils into slots.High
71
Apply solutions or paints to wired electrical components, using hand tools, and bake components.Medium
68
Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.High
37
Stop machines to remove completed components, using hand tools.Medium
24
Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.High
17
Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.Medium
22
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Line slots with sheet insulation, and insert coils into slots.71
  2. Review work orders and specifications to determine materials needed and types of parts to be processed.70
  3. Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.68
  4. Apply solutions or paints to wired electrical components, using hand tools, and bake components.68
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.01
  2. Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.02
  3. Stop machines to remove completed components, using hand tools.03
  4. Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.04
  5. Review work orders and specifications to determine materials needed and types of parts to be processed.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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AI risk 49

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency54
Physical dependency64
Adoption pressure31
Labour-market resilience62
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence84/100
CalculatedAug 21, 2026
Read methodology →