US dataswitch to UK
Coil Winders, Tapers, and Finishers
operating or tending wire-coiling machines to wind wire coils used in electrical components, cutting strip and examining and testing wired electrical components. If that's your week, this page is about your job.
The honest answer
AI is already taking a real slice of the routine work here: reviewing work orders and specifications to determine materials needed and types of parts. That is a slice of tasks, not of you.
That slice is not coming back; the core of the job, attaching alter and trimming materials, wiring, insulation and coils, using hand tools, stays yours. New tools, same person answering for it.
Your week, as this page understands it
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. The job title says “coil winders”, “tapers” or “finishers”: officially one job, several names. The real job is the part underneath: attaching alter and trimming materials, wiring, insulation and coils, using hand tools. That is the thing someone has to be right about.
The exposed part of this job is specific, and we won’t pretend it is coming back. But coil winders, tapers, and finishers is not one task. It is 11 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is attaching alter and trimming materials, wiring, insulation and coils, using hand tools, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 23%
- changing shape
- 0%
- staying human
- 77%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 16 out of 100 (15–21 allowing for uncertainty): minimal exposure, across 11 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.
How we know this
What is measured: Every published task statement for coil winders, tapers, and finishers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.
How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.
Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.
Your job, task by task
These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
Shifting to AI
2 tasksTasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.
Recording production and operational data on specified forms
This is reading one thing and writing another: production in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Record production and operational data on specified forms.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Filling in production forms is simple record-keeping, though the readings often come off the machine itself.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Reviewing work orders and specifications to determine materials needed and types of parts
This is reading one thing and writing another: work orders in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Review work orders and specifications to determine materials needed and types of parts to be processed.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading a work order to establish which materials and parts are needed is straightforward document work.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Changing shape
0 tasksTasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.
Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.
Staying human
9 tasksTasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.
Attaching alter and trimming materials, wiring, insulation and coils, using hand tools
This work happens in the physical world: alter, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Attaching and trimming wire and insulation with hand tools is manual work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Cutting strip and bend wire leads at ends of coils, using pliers and wiring scrapers
This work happens in the physical world: strip, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cutting, stripping and bending wire leads is done by hand with pliers.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Stopping machines to remove completed components
This work happens in the physical world: machines, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Stop machines to remove completed components, using hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Stopping the machine and taking finished parts out is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Operating or tending wire-coiling machines to wind wire coils used in electrical components
This work happens in the physical world: machines, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “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.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Operating a wire-coiling machine is hands-on work at the equipment.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Selecting and loading materials, workpieces, objects and machine parts onto equipment used in coiling processes
This work happens in the physical world: materials, workpieces, objects and machine parts, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Selecting and loading parts onto the equipment is physical handling.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Examining and testing wired electrical components
This work happens in the physical world: wired electrical components, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Testing components with measuring devices means handling them, even though writing up results is easy to automate.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Lining slots with sheet insulation
This work happens in the physical world: slots, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Line slots with sheet insulation, and insert coils into slots.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Lining slots with insulation and fitting coils is delicate handwork.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Applying solutions or paints to wired electrical components
This work happens in the physical world: solutions, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Apply solutions or paints to wired electrical components, using hand tools, and bake components.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Painting components and baking them is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Show the other 1 task
Disassembling and assembling motors and repairing and maintaining electrical components and machinery parts, using hand tools
staying humanThis work happens in the physical world: motors, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Taking motors apart and repairing parts with hand tools is manual work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
What this job pays, and how many people do it
- Median pay
- $48,220a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
- People doing this job
- 12,840in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)
What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.
Why this is shifting
The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: work orders in, a record out. The rows above are exactly that shape: reviewing work orders and specifications to determine materials needed and types of parts and recording production and operational data on specified forms. What it cannot do is be there in the room, and that is still where alter gets done. Which is why this page talks about your tasks changing, not your job ending.
Your move
Over a pint: what I’d tell you if you were my friend
Your week is splitting in two, and which half fills it is the whole question. Reviewing work orders and specifications to determine materials needed and types of parts is going; attaching alter and trimming materials, wiring, insulation and coils, using hand tools is not.
So, given all that: 23% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 77% in rows it is nowhere near. That is the position, measured across 11 scored tasks. It is not a forecast about you.
The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.
This week: one thing
Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.
- What you end up holding
- your own week, on one page, sorted into what is shifting and what is not
- How long it takes
- about twenty minutes
If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.
Over the next 90 days
Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (attaching alter and trimming materials, wiring, insulation and coils, using hand tools) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.
Over the next 12 months
Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles attaching alter and trimming materials, wiring, insulation and coils, using hand tools, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.
The roads out of here, and why I am not sending you down them
I looked at the obvious moves out of this job, and here is what I found.
I checked the 12 nearest US occupations to coil winders, tapers, and finishers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was grinding and polishing workers, hand: only about 11% of its durable work is work you already do and it pays 11.5% less. And on the numbers you do not need one. This job scores 16/100 here, with only 23% of the task list in the top band, and “attach, alter, and trim materials” is not work that hands over cleanly. None of them beats deepening what you already have.
How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.
3 moves I checked and rejected
These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.
Grinding and Polishing Workers, Hand
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already select and load materials such as workpieces, objects, and machine parts onto equipment…, and their equivalent is to load and adjust workpieces onto equipment or work tables, using hand tools. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $42,660 against your $48,220, 11.5% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Electric Motor, Power Tool, and Related Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already disassemble and assemble motors, and repair and maintain electrical components and machinery parts…, and their equivalent is to disassemble defective equipment. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step.
Helpers--Electricians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already cut, strip, and bend wire leads at ends of coils, using pliers and…, and their equivalent is to strip insulation from wire ends, using wire stripping pliers, and attach wires to…. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $42,670 against your $48,220, 11.5% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
What I’d stop worrying about
A friend tells you what not to spend fear on. This is that list.
The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 23% of its task weight, across 11 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.
You are reading the United States figures
The United Kingdom splits this work across more than one official group, of which Assemblers (electrical and electronic products) is the closest. The pay and employment figures are not directly comparable, and we do not average them together.
Switch to the United Kingdom page →partial match
In UK official statistics this job is counted as Assemblers (electrical and electronic products). Pay and employment stay on this page’s own group; the task list and the scores do not cross over.
Your route through this
Where to go next, and what it costs
Free, and complete
The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.
Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for coil winders / tapers / finishers, and we are not going to point you at the nearest one and call it a fit.
There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 23% of the work on this page is already inside what they can do.
7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.
The AI Authority is a general community about working with AI, not a course for coil winders / tapers / finishers. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.
Noted, and thank you. We’ll email you if a Space for coil winders / tapers / finishers launches. Nothing else.
That did not look like an email address, so nothing was saved. Have another go below.
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No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.
Questions people ask about this job
- Will AI replace Coil Winders, Tapers, and Finishers?
- Not as a job, but it is already doing parts of the work. Across the 11 official task statements scored for Coil Winders, Tapers, and Finishers (United States, SOC 51-2021), 23% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 16 out of 100 (range 15–21, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
- Which tasks in “Coil Winders, Tapers, and Finishers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Review work orders and specifications to determine materials needed and types of parts to be processed” (69/100, high); “Record production and operational data on specified forms” (64/100, high); “Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results” (14/100, minimal). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
- Which tasks in “Coil Winders, Tapers, and Finishers” stay human?
- About 77% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Line slots with sheet insulation, and insert coils into slots” (0/100, minimal); “Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools” (0/100, minimal); “Apply solutions or paints to wired electrical components, using hand tools, and bake components” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
- What should someone working in “Coil Winders, Tapers, and Finishers” do about AI?
- Start from the ledger rather than the headline: 23% of this job's weighted core work is exposed, and roughly 77% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
- How is the AI exposure score for Coil Winders, Tapers, and Finishers calculated?
- Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 11 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.
Where these numbers come from
Worth knowing about these figures
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
- Task statements
- onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
- Task weights
- onet-db (im-rt)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
- Pay and employment
- bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))
Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.
The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.
The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.
Using these figures?
Cite this
Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.
Plain text
Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).
BibTeX
@misc{collab365futureproof2026q41,
title = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
author = {{Collab365}},
year = {2026},
url = {https://futureproof.collab365.com/data/2026-q4.1},
note = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}Data as of release 2026-q4.1, published . Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.