All occupations › ProductionCan AI Replace Laundry and Dry-Cleaning Workers in 2026? Lower exposure. AI could handle about 6% of today's laundry and dry-cleaning workers tasks by 2036, and there is a 13% chance the number of jobs falls by a fifth or more. AI mostly assists people in this role.
See how not to be replaced
Timeline Year 2030 Chance of 20%+ fewer jobs
10% 2030 · 13% 2036
One person could cover, 2036
~1 roles
0% 50% 100% 2026 2028 2030 2032 2034 2036 2026: 2% 2027: 2% 2028: 3% 2029: 3% 2030: 4% 2031: 4% 2032: 5% 2033: 5% 2034: 6% 2035: 6% 2036: 6% 4% Share of today's tasks AI can perform 40 80 120 2026 2028 2030 2032 2034 2036 2026: 100 2027: 99 2028: 99 2029: 98 2030: 98 2031: 97 2032: 97 2033: 96 2034: 96 2035: 95 2036: 95 98 Headcount index, 2025 = 100 (dashed line) Your survival map Not every part of your job is at the same risk. Tap a number to see what to do about each task.
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Tap a number on the map or a task below.
1 Load articles into washers or dry-cleaning machines, or direct other workers to perform loading. 2 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,… 3 Operate extractors and driers, or direct their operation. 4 Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles. 5 Inspect soiled articles to determine sources of stains, to locate color imperfections, and to identify items requiring special treatment. 6 Determine spotting procedures and proper solvents, based on fabric and stain types. Your plan Ticks are saved in this browser only.
Try an AI tool on one task you'd normally do by hand: "Determine spotting procedures and proper solvents, based on fabric and stain types". Learn one AI tool well enough to show it in an interview, for: "Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles". Get visibly better at your human core: "Load articles into washers or dry-cleaning machines, or direct other workers to perform loading". Rewrite the top of your CV around judgment, people and decisions, not routine output. Based on 32 O*NET tasks for "Laundry and Dry-Cleaning Workers" (SOC 51-6011.00). LLM alone: 3% of tasks; with AI tools: 8%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10
