Coil Winders, Tapers, and Finishers

O*NET-SOC code: 51-2021.00

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.

Data source: BLSPublished: 2026-08
Low· relative
LowFour relative bandsVery high
Group-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
Source dataset (XLSX download)
Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.28
0.09Range of values carried here0.70
Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
Source dataset (PDF download)

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

11 rated tasks · 2 tasks with β ≥ 0.5 (18.2%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
All rated tasks are in the O*NET 31.0 task list.

Source: OpenAI "GPTs are GPTs" exposure rubric
Release: gh-main-0471612
License: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 30.2)	Claude.aiRaw / share %	APIRaw / share %
Record production and operational data on specified forms. 51-2021.00	0.00000.0	0.00000.0
Not observed on any surface — 10 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
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.	—0	—0
Review work orders and specifications to determine materials needed and types of parts to be processed.	—0	—0
Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.	—0	—0
Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.	—0	—0
Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.	—0	—0
Stop machines to remove completed components, using hand tools.	—0	—0
Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.	—0	—0
Apply solutions or paints to wired electrical components, using hand tools, and bake components.	—0	—0
Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.	—0	—0
Line slots with sheet insulation, and insert coils into slots.	—0	—0

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

Task (O*NET 27.2)	βE1 + 0.5 × E2
Review work orders and specifications to determine materials needed and types of parts to be processed. O*NET Task ID 11905	1.0
Record production and operational data on specified forms. O*NET Task ID 11908	1.0
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 ID 11904	0.0
Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers. O*NET Task ID 11906	0.0
Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes. O*NET Task ID 11907	0.0
Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools. O*NET Task ID 11909	0.0
Stop machines to remove completed components, using hand tools. O*NET Task ID 11910	0.0
Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results. O*NET Task ID 11911	0.0
Apply solutions or paints to wired electrical components, using hand tools, and bake components. O*NET Task ID 11912	0.0
Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools. O*NET Task ID 11913	0.0
Line slots with sheet insulation, and insert coils into slots. O*NET Task ID 11914	0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

All O*NET 31.0 task statements (11)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)	Type
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.	Core
Review work orders and specifications to determine materials needed and types of parts to be processed.	Core
Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.	Core
Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.	Core
Record production and operational data on specified forms.	Core
Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.	Core
Stop machines to remove completed components, using hand tools.	Core
Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.	Supplemental
Apply solutions or paints to wired electrical components, using hand tools, and bake components.	Supplemental
Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.	Supplemental
Line slots with sheet insulation, and insert coils into slots.	Supplemental

Anthropic, "What work can robots do?"2026-09

0.89/ 3· Robot exposure index

0 none3 unstructured settings

Scale, basis and source

Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time

Physical tasks among this occupation's O*NET 29.3 tasks

Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.

Source dataset

The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.

Tier of each physical task

Robot environment tiers (E0–E3)

E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site

Only tasks classified as physical are listed; other tasks have no tier in the source.

Task (O*NET 29.3)	Robot environment tier
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.	E1 purpose-built robot settings
Cut, strip, and bend wire leads at ends of coils, using pliers and wire scrapers.	E1 purpose-built robot settings
Select and load materials such as workpieces, objects, and machine parts onto equipment used in coiling processes.	E1 purpose-built robot settings
Attach, alter, and trim materials such as wire, insulation, and coils, using hand tools.	E1 purpose-built robot settings
Stop machines to remove completed components, using hand tools.	E1 purpose-built robot settings
Examine and test wired electrical components such as motors, armatures, and stators, using measuring devices, and record test results.	E1 purpose-built robot settings
Apply solutions or paints to wired electrical components, using hand tools, and bake components.	E1 purpose-built robot settings
Disassemble and assemble motors, and repair and maintain electrical components and machinery parts, using hand tools.	E0 none
Line slots with sheet insulation, and insert coils into slots.	E1 purpose-built robot settings

Employment outlook (BLS)

Employment, 2025: 13K
Projected employment, 2035: 12K
Change (2025–35): -4%
Median annual wage, 2025: $48,220
Typical education needed for entry: High school diploma or equivalent

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO code	KSCO title	Relation	Status
86321	전기 부품 제조 기계 조작원	This occupation is narrower	confirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

ISCO-08 8212Electrical and Electronic Equipment Assemblers

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

insulating tube winderESCO 8142.8This occupation is broader
Insulating tube winders set up and operate a machine to wind up insulating tubes and cut them to specified dimensions.
winding machine operatorESCO 8151.4This occupation is broader
Winding machine operators tend machines that wrap strings, cords, yarns, ropes, threads onto reels, bobbins, or spools. They handle materials, prepare them for processing, and use winding machines for the purpose. They also perform routine maintenance of the machinery.
filament winding operatorESCO 8142.6Overlapping, not the same
Filament winding operators tend, control and maintain machines that coat filament, usually fibreglass or carbon, in resin and wind them around a rotation mould to produce pipes, containers, tubes and other hollow cylindrical products.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME code	ROME title (French)	Relation
H2606	Monteur-bobinier / Monteuse-bobinière en électricité	This occupation is broaderprovisional
H2608	Bobinier / Bobinière en matériels électroniques	This occupation is broaderprovisional
H2601	Bobinier / Bobinière en électricité	Overlapping, not the sameprovisional
H2607	Chef / Cheffe d'atelier de bobinage électrique	Related, not a matchprovisional

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 code	CNO-11 title (Spanish)	Relation
8202	Ensambladores de equipos eléctricos y electrónicos	This occupation is narrowerprovisional
7521	Mecánicos y reparadores de equipos eléctricos	Related, not a matchprovisional

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB code	KldB title (German)	Relation
26222	Berufe in der Elektromaschinentechnik - fachlich ausgerichtete Tätigkeiten	This occupation is narrowerprovisional
26301	Berufe in der Elektrotechnik (ohne Spezialisierung) - Helfer-/Anlerntätigkeiten	Related, not a matchprovisional

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO code	JSCO title (Japanese)	Relation
542	電気機械器具組立従事者	This occupation is narrowerprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources