AI exposure: 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.
Reading this score
computedAt 23.8% of weighted task load, Coil Winders, Tapers, and Finishers sits at the 45th percentile, below the point where a job's centre of gravity has moved. 65.7% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is embodiment. Across this occupation's 11 tasks it averages 2.45 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.
The most exposed thing this job does is Record production and operational data on specified forms, at 73.3%. The least is Line slots with sheet insulation, and insert coils into slots, at 0.0%. A gap of 73.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within production occupations, this one is more exposed than most. The median across the 107 roles in the group is 16.1%, and only 11 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 11 tasks, 3 are currently banded exposed, 0 assisted and 8 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.17 | 0-4 |
| Embodiment | 2.45 | 0-3 |
| Presence | 0.11 | 0-3 |
| Accountability | 0.47 | 0-3 |
| Context | 0.83 | 0-3 |
| Verification cost | 0.82 | 0-3 |
Task by task
11 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Record production and operational data on specified forms. | 73.3% | 26.7% | 0.0% | 4.24 | exposed |
| Review work orders and specifications to determine materials needed and types of parts to be processed. | 55.0% | 20.0% | 25.0% | 4.40 | exposed |
| Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results. | 35.4% | 27.1% | 37.5% | 4.38 | exposed |
| Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes. | 26.2% | 11.2% | 62.5% | 4.25 | untouched |
| 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. | 16.7% | 8.3% | 75.0% | 4.58 | untouched |
| Apply solutions or paints to wired electrical components, using hand tools, and bake components. | 8.3% | 4.2% | 87.5% | 3.88 | untouched |
| Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools. | 4.4% | 3.9% | 91.7% | 3.72 | untouched |
| Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools. | 0.0% | 0.0% | 100.0% | 4.43 | untouched |
| Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers. | 0.0% | 0.0% | 100.0% | 4.40 | untouched |
| Stop machines to remove completed components, using hand tools. | 0.0% | 0.0% | 100.0% | 3.76 | untouched |
| Line slots with sheet insulation, and insert coils into slots. | 0.0% | 0.0% | 100.0% | 4.07 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 1 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.