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Manufacturing & Production · Updated Aug 2026

Laundry and Dry-Cleaning Workers

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.

JVS 2.0.0-phase4b
AI Exposure
42/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
49/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage87%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Spray steam, water, or air over spots to flush out chemicals, dry material, raise naps, or brighten colors.High
80
Determine spotting procedures and proper solvents, based on fabric and stain types.High
77
Mix bleaching agents with hot water in vats, and soak material until it is bleached.Medium
80
Iron or press articles, fabrics, and furs, using hand irons or pressing machines.Medium
78
Inspect soiled articles to determine sources of stains, to locate color imperfections, and to identify items requiring special treatment.Medium
62
Hang curtains, drapes, blankets, pants, and other garments on stretch frames to dry.Medium
80
Spread soiled articles on work tables, and position stained portions over vacuum heads or on marble slabs.Medium
80
Receive and mark articles for laundry or dry cleaning with identifying code numbers or names, using hand or machine markers.High
39
Load articles into washers or dry-cleaning machines, or direct other workers to perform loading.High
26
Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles.Medium
34
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.High
25
Remove items from washers or dry-cleaning machines, or direct other workers to do so.High
26
Apply bleaching powders to spots and spray them with steam to remove stains from fabrics that do not respond to other cleaning solvents.High
25
Examine and sort into lots articles to be cleaned, according to color, fabric, dirt content, and cleaning technique required.High
24
Identify articles' fabrics and original dyes by sight and touch, or by testing samples with fire or chemical reagents.Medium
34
Sort and count articles removed from dryers, and fold, wrap, or hang them.High
20
Operate machines that comb, dry and polish furs, clean, sterilize and fluff feathers and blankets, or roll and package towels.Medium
25
Sprinkle chemical solvents over stains, and pat areas with brushes or sponges to remove stains.Medium
25
Pre-soak, sterilize, scrub, spot-clean, and dry contaminated or stained articles, using neutralizer solutions and portable machines.High
26
Mix and add detergents, dyes, bleaches, starches, and other solutions and chemicals to clean, color, dry, or stiffen articles.Medium
20
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Spray steam, water, or air over spots to flush out chemicals, dry material, raise naps, or brighten colors.80
  2. Mix bleaching agents with hot water in vats, and soak material until it is bleached.80
  3. Hang curtains, drapes, blankets, pants, and other garments on stretch frames to dry.80
  4. Spread soiled articles on work tables, and position stained portions over vacuum heads or on marble slabs.80
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Sort and count articles removed from dryers, and fold, wrap, or hang them.01
  2. Mix and add detergents, dyes, bleaches, starches, and other solutions and chemicals to clean, color, dry, or stiffen articles.02
  3. Apply bleaching powders to spots and spray them with steam to remove stains from fabrics that do not respond to other cleaning solvents.03
  4. Sprinkle chemical solvents over stains, and pat areas with brushes or sponges to remove stains.04
  5. 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.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency52
Physical dependency49
Adoption pressure39
Labour-market resilience48
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →