Laundry and Dry-Cleaning Workers

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.

AI: Fully automatable - Industrial washers/dryers already use PLCs and automated dosing systems and AI can integrate with controls to start machines and regulate valves/volumes fully.

Operate extractors and driers, or direct their operation.

AI: Fully automatable - Operating extractors and driers is a routine machine-control task that can be fully automated and supervised by AI systems in modern laundries.

Determine spotting procedures and proper solvents, based on fabric and stain types.

AI: Fully automatable - Determining appropriate spotting procedures and solvents is primarily a classification/decision task that AI systems can perform reliably using databases, vision inputs, and expert rules.

Receive and mark articles for laundry or dry cleaning with identifying code numbers or names, using hand or machine markers.

AI: Fully automatable - Receiving and marking with barcodes/RFID or automated marking machines is a mature, fully automatable process in modern laundries.

Mix bleaching agents with hot water in vats, and soak material until it is bleached.

AI: Fully automatable - Industrial dosing and process-control systems together with sensor-based color/chemical monitoring allow AI-driven automation of mixing bleaching agents and timed soaking in vats.

Mix and add detergents, dyes, bleaches, starches, and other solutions and chemicals to clean, color, dry, or stiffen articles.

AI: Fully automatable - Recipe-driven industrial systems routinely mix and add detergents, dyes, bleaches, starches and related chemicals under automated control, which AI can manage and optimize.

Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles.

AI: Fully automatable - Color-matching is widely automated using spectrophotometry and AI algorithms that propose dye/bleach recipes while accounting for fabric properties.

Operate dry-cleaning machines to clean soiled articles.

AI: Fully automatable - Dry-cleaning machines are routinely run under automated control and can be monitored and optimized by AI for typical cleaning cycles.

Operate machines that comb, dry and polish furs, clean, sterilize and fluff feathers and blankets, or roll and package towels.

AI: Fully automatable - Machines that comb, dry, polish, sterilize, fluff, roll and package are standard industrial equipment that can be automated and supervised by AI/PLC systems.

Rinse articles in water and acetic acid solutions to remove excess dye and to fix colors.

AI: Fully automatable - Rinsing with controlled water and acetic acid solutions is a routine, parameterized process already fully automatable with existing laundry/dyeing equipment and control systems.

Start pumps to operate distilling systems that drain and reclaim dry cleaning solvents.

AI: Fully automatable - Starting pumps and operating solvent distillation/reclamation systems are straightforward industrial control tasks that are fully automatable and commonly remote-managed by 2025 systems.

Immerse articles in bleaching baths to strip colors.

AI: Fully automatable - Immersion in bleaching baths with controlled concentrations and timing is a standardized processing step that can be fully automated with existing textile-processing equipment.

Load articles into washers or dry-cleaning machines, or direct other workers to perform loading.

AI: Partial - Large laundries have automated loaders, but many loading tasks involve varied articles and physical handling or directing human loaders, so AI can assist or automate some contexts but not universally replace human loaders.

Apply bleaching powders to spots and spray them with steam to remove stains from fabrics that do not respond to other cleaning solvents.

AI: Partial - Targeted application of bleaching and steam can be automated in limited, controlled scenarios, but safe, selective spot-treating across diverse fabrics and stains still requires human judgment and care.

Sort and count articles removed from dryers, and fold, wrap, or hang them.

AI: Partial - Vision systems can sort and count and some robots fold standard garments, but fully general folding/wrapping/hanging across all garment types and conditions is not yet solved.

Remove items from washers or dry-cleaning machines, or direct other workers to do so.

AI: Partial - Robotic manipulators and vision systems can remove items in constrained, uniform settings, but reliably handling varied, entangled loads in general laundries remains difficult, so only partial automation is feasible.

Clean machine filters, and lubricate equipment.

AI: Partial - Sensors and automatic self-cleaning features exist for some equipment, but thorough filter cleaning and targeted lubrication still typically require human dexterity and inspection, so only partial automation is available.

Examine and sort into lots articles to be cleaned, according to color, fabric, dirt content, and cleaning technique required.

AI: Partial - Computer vision and material classification can handle color/fabric and detect many stains, but nuanced judgments about fabric handling and novel or borderline cases still need human expertise.

Spray steam, water, or air over spots to flush out chemicals, dry material, raise naps, or brighten colors.

AI: Partial - Automated steam/water/air spraying exists for standardized tasks, but adaptively applying these treatments to varied spots and fabrics with consistent, damage-free results is not fully solved.

Pre-soak, sterilize, scrub, spot-clean, and dry contaminated or stained articles, using neutralizer solutions and portable machines.

AI: Partial - Pre-soaking and machine-based sterilization/drying are automatable, but manual scrubbing, nuanced spot-cleaning, and handling contaminated/stubborn items still require human intervention.

Apply chemicals to neutralize the effects of solvents.

AI: Partial - Automated dosing and control can apply neutralizers in many cases, but variable solvent residues and safety/chemical-compatibility judgments still often require human oversight.

Sprinkle chemical solvents over stains, and pat areas with brushes or sponges to remove stains.

AI: Partial - Localized spot treatment (sprinkling solvents and brushing/patting stains) requires fine dexterous manipulation and contextual judgment that only partial robotic/AI solutions can handle as of 2025.

Inspect soiled articles to determine sources of stains, to locate color imperfections, and to identify items requiring special treatment.

AI: Partial - Computer vision can detect and triage stains and imperfections, but fully determining stain sources and nuanced special-treatment decisions still frequently needs human expertise.

Iron or press articles, fabrics, and furs, using hand irons or pressing machines.

AI: Partial - Pressing using industrial pressing machines is automatable, but hand-ironing and delicate/irregular items (e.g., furs) still commonly require human skill and/or assistance.

Hang curtains, drapes, blankets, pants, and other garments on stretch frames to dry.

AI: Partial - Hanging and stretching a wide variety of garments and textiles is partially automatable with specialized fixtures and robotics, but variability and handling delicacy limit full automation in 2025.

Clean fabrics, using vacuums or air hoses.

AI: Partial - Industrial vacuuming/air-blowing of fabrics can be automated at scale, but fine-grained, varied garment handling and selective cleaning still require human judgment and dexterous manipulation as of 2025.

Test fabrics in inconspicuous places to determine whether solvents will damage dyes or fabrics.

AI: Partial - AI and sensor-assisted systems can suggest and perform standardized inconspicuous spot tests, but nuanced judgment about dye/solvent interactions on novel or mixed fibers still often needs human expertise.

Identify articles' fabrics and original dyes by sight and touch, or by testing samples with fire or chemical reagents.

AI: Partial - Automated visual/spectroscopic tools can identify many fabrics and dyes, but touch-based assessment and ambiguous or novel dye/fiber combinations frequently require human testing and interpretation.

Spread soiled articles on work tables, and position stained portions over vacuum heads or on marble slabs.

AI: Partial - Robotic systems can handle some cloth spreading tasks, but reliably spreading arbitrary soiled garments and precisely positioning stained areas for treatment remains partially manual in practice.

Mend and sew articles, using hand stitching, adhesive patches, or sewing machines.

AI: Partial - Sewing machines and programmed attachments automate repetitive stitches, yet complex mending, bespoke repairs, and judgement-based stitching still require human skill.

Dye articles to change or restore their colors, using knowledge of textile compositions and the properties and effects of bleaches and dyes.

AI: Partial - Automated dyeing equipment and AI recipe suggestion tools can execute many dye jobs, but selecting and adapting formulas for diverse textiles and restoration goals still often needs experienced human oversight.

Wash, dry-clean, or glaze delicate articles or fur garment linings by hand, using mild detergents or dry cleaning solutions.

AI: Partial - Delicate hand washing and finishing of fragile garments and fur linings are difficult to fully automate due to fine tactile judgment and gentle manipulation requirements, though some steps can be mechanized.