Laundry and Dry-Cleaning Workers

Production Occupations
O*NET-SOC code
51-6011.00

Operate or tend washing or dry-cleaning machines to wash or dry-clean industrial or household articles, such as cloth garments, suede, leather, furs, blankets, draperies, linens, rugs, and carpets. Includes spotters and dyers of these articles.

AI exposure

  • 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

    0.16

    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.

AI exposure (OpenAI rubric)

32 rated tasks · 3 tasks with β ≥ 0.5 (9.4%)

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

Tasks

Task statements from the O*NET® 31.0 Database, core tasks first.

TaskTypeβ (OpenAI)
Start washers, dry cleaners, driers, or extractors, and turn valves or levers to regulate machine processes and the volume of soap, detergent, water, bleach, starch, and other additives.Core0
Sort and count articles removed from dryers, and fold, wrap, or hang them.Core0
Examine and sort into lots articles to be cleaned, according to color, fabric, dirt content, and cleaning technique required.Core0
Load articles into washers or dry-cleaning machines, or direct other workers to perform loading.Core0
Clean machine filters, and lubricate equipment.Core0
Remove items from washers or dry-cleaning machines, or direct other workers to do so.Core0
Operate extractors and driers, or direct their operation.Core0
Inspect soiled articles to determine sources of stains, to locate color imperfections, and to identify items requiring special treatment.Core0.5
Determine spotting procedures and proper solvents, based on fabric and stain types.Core1
Sprinkle chemical solvents over stains, and pat areas with brushes or sponges to remove stains.Core0
Receive and mark articles for laundry or dry cleaning with identifying code numbers or names, using hand or machine markers.Supplemental0
Mix and add detergents, dyes, bleaches, starches, and other solutions and chemicals to clean, color, dry, or stiffen articles.Supplemental0
Spray steam, water, or air over spots to flush out chemicals, dry material, raise naps, or brighten colors.Supplemental0
Operate dry-cleaning machines to clean soiled articles.Supplemental0
Test fabrics in inconspicuous places to determine whether solvents will damage dyes or fabrics.Supplemental0
Pre-soak, sterilize, scrub, spot-clean, and dry contaminated or stained articles, using neutralizer solutions and portable machines.Supplemental0
Start pumps to operate distilling systems that drain and reclaim dry cleaning solvents.Supplemental0
Operate machines that comb, dry and polish furs, clean, sterilize and fluff feathers and blankets, or roll and package towels.Supplemental0
Spread soiled articles on work tables, and position stained portions over vacuum heads or on marble slabs.Supplemental0
Apply bleaching powders to spots and spray them with steam to remove stains from fabrics that do not respond to other cleaning solvents.Supplemental0
Mix bleaching agents with hot water in vats, and soak material until it is bleached.Supplemental0
Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles.Supplemental0.5
Apply chemicals to neutralize the effects of solvents.Supplemental0
Identify articles' fabrics and original dyes by sight and touch, or by testing samples with fire or chemical reagents.Supplemental0
Dye articles to change or restore their colors, using knowledge of textile compositions and the properties and effects of bleaches and dyes.Supplemental0
Iron or press articles, fabrics, and furs, using hand irons or pressing machines.Supplemental0
Hang curtains, drapes, blankets, pants, and other garments on stretch frames to dry.Supplemental0
Wash, dry-clean, or glaze delicate articles or fur garment linings by hand, using mild detergents or dry cleaning solutions.Supplemental0
Rinse articles in water and acetic acid solutions to remove excess dye and to fix colors.Supplemental0
Mend and sew articles, using hand stitching, adhesive patches, or sewing machines.Supplemental0
Immerse articles in bleaching baths to strip colors.Supplemental0
Clean fabrics, using vacuums or air hoses.Supplemental0

Occupation information

Sources and attribution

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 51-6011.00 Laundry and Dry-Cleaning Workers

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

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