Coil Winders, Tapers, and Finishers
In short: today's best AI models could do about 9% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 91% of the time, stays with people.
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.
12,840 people do this job in the US. $48,220 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on4 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people36 h
Coil Winders, Tapers, and Finishers, now: of a 40-hour week, AI could take on 4 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 36 hours stay with people.
The largest pieces: Review work orders and specifications to determine materials needed and types of parts to be processed (about 2 h); Record production and operational data on specified forms (about 1 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 9%
- 0%
- 91%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 2%. With Claude Mythos Preview (early), measured in April 2026, 9%. Today's estimate: 9%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
None of this job's 11 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 91% of this job's working time as physical work. For 89% of the working time, a robot has been shown doing most of the task somewhere: 89% in a purpose-built cell. 0.89 of 3, the 186th highest of the 923 jobs.
- Not physical 9%
- No robot shown 3%
- In a purpose-built cell 89%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 11 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.Done daily by most who do it.Robots: no robot shown. Anthropic's rating. | 21% | 2.5 h50 min to 6.7 h | Stays with people | |
| 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.Done daily by most who do it. Robots: in a purpose-built cell, Meteor AG automatic winding production lines (sold). Anthropic's rating. | 17% | 38 min13 min to 1.7 h | Stays with people | |
| Line slots with sheet insulation, and insert coils into slots.Done daily by most who do it.Robots: in a purpose-built cell, GROB slot insulation machine and GROB winding and inserting machine (GROB Italy) (GROB-WERKE / GROB Italy) (sold). Anthropic's rating. | 14% | 1.3 h25 min to 3.3 h | Stays with people | |
| Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.Done daily by most who do it. Robots: in a purpose-built cell, Marsilli fully automatic production systems for wound components (sold). Anthropic's rating. | 11% | 21 min8 min to 50 min | Stays with people | |
| Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.Done daily by most who do it.Robots: in a purpose-built cell, SCHLEICH MTC3 winding test cell / systems engineering (sold). Anthropic's rating. | 8% | 38 min17 min to 1.7 h | Stays with people | |
| Review work orders and specifications to determine materials needed and types of parts to be processed.Done daily by most who do it. | 6% | 13 min4 min to 33 min | 100%Half by now | |
| Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.Done daily by most who do it. Robots: in a purpose-built cell, Solomon AccuPick 3D bin picking with SolScan 3D camera (deployed). Anthropic's rating. | 5% | 13 min4 min to 38 min | Stays with people | |
| Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.Done daily by most who do it. Robots: in a purpose-built cell, Itasca Model 250 Inline Wire Stripper (for coil winding machines) (sold). Anthropic's rating. | 5% | 13 min4 min to 33 min | Stays with people | |
| Stop machines to remove completed components, using hand tools.Done daily by most who do it. Robots: in a purpose-built cell, Detzo DSW-4208 series fully automatic coil winding machine (sold). Anthropic's rating. | 5% | 13 min4 min to 25 min | Stays with people | |
| Apply solutions or paints to wired electrical components, using hand tools, and bake components.Done yearly or less by most who do it.Robots: in a purpose-built cell, bdtronic B8100 impregnation system (sold). Anthropic's rating. | 4% | 33 min13 min to 1.3 h | Stays with people | |
| Record production and operational data on specified forms.Done daily by most who do it. AI observed on this task. | 3% | 8 min3 min to 21 min | 100%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Electrical and Electronic Equipment Assemblers8% now, 8% by 2028
- Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic38% now, 38% by 2028
- Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers5% now, 5% by 2028
- Tool Grinders, Filers, and Sharpeners6% now, 6% by 2028
- Cutting and Slicing Machine Setters, Operators, and Tenders7% now, 7% by 2028
- Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders11% now, 11% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
- Electrical Equipment Manufacturing4,790 people
- Nonferrous Metal (except Aluminum) Production and Processing1,300 people
- Machinery Manufacturing (3331, 3332, 3334, and 3339 only)1,250 people
- Semiconductor and Other Electronic Component Manufacturing1,010 people
- Other Electrical Equipment and Component Manufacturing970 people
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Coil Winders, Tapers, and Finishers is within reach of AI now?
- An estimated 9% of the working time is within reach of AI models now and 9% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Coil Winders, Tapers, and Finishers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Review work orders and specifications to determine materials needed and types of parts to be processed (100% of the task's time now); and Record production and operational data on specified forms (100% of the task's time now).
- Which tasks of Coil Winders, Tapers, and Finishers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools; 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; and Line slots with sheet insulation, and insert coils into slots. Together such tasks are about 91% of the working time.
- Do people already use AI for the work of Coil Winders, Tapers, and Finishers?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Coil Winders, Tapers, and Finishers?
- Anthropic's robot exposure rating (September 2026) finds 91% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 89% of the working time. Its index is 0.89 of 3. One example: Meteor AG automatic winding production lines for "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". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 11 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
This job in your state or metro area
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.
Your own version of this job
The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.
This occupation has not been reviewed task by task yet, so the full personal report is not offered for it; 402 of 923 occupations are reviewed so far, largest first.