← Risk register SOC 51-6011 · reviewed 2026-08-11

Laundry and Dry-Cleaning Workers

198,040 US workers · median $34,890/yr · Production

EXPOSED

Almost nothing here is text or screen work, so language AI barely touches the core job: sorting soiled loads, loading washers and tumblers, spot-treating stains, operating presses, and folding and bagging finished garments. The real threat is conventional industrial automation — continuous batch washers, automated feeders and folders in high-volume institutional laundries — which has been quietly shrinking headcount per pound for decades, and AI-assisted vision sorting accelerates that. Limp-fabric handling remains genuinely hard for robots, so the small-shop and retail dry-clean tier persists longer than the hospital/hotel linen plants.

10-year outlook: Employment keeps eroding slowly as institutional laundries automate flatwork and consolidate, while specialty garment-care and restoration niches hold steady at modest pay.

Score — 39/100 resistance

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 14 + 15 + 1 + 5 + 4 = 39.

Task resistance 14/20

Tasks largely resist digitisation. Feeling a lapel to judge whether a stain is protein or oil-based, pinning a torn seam before it goes through a press, and untangling a mixed load of bras, bedsheets and coveralls are physical judgement tasks no language model performs — the 14 rather than 18 reflects that institutional flatwork (sheets, towels, napkins) is already fed and folded by machine in the big plants.

Embodiment 15/20

Hands-on in uncontrolled environments. You are standing eight hours in 90-degree air near steam presses and tumblers, lifting 40-pound wet loads, handling solvent-soaked garments and shaking out limp fabric by hand — it sits at 15 rather than 19 because the floor itself is an indoor, fixed plant, not a customer's home or an unpredictable outdoor site.

Liability shield 1/20

No licence, no signature requirement. No licence, no certificate, no exam gates this work; even the perchloroethylene rules under EPA's NESHAP land on the shop owner's permit, not on the person running the machine, which is why this is a 1 and not a 5.

Trust premium 5/20

Anonymous artifact production. Hotel and hospital linen leaves the plant anonymous, but the retail dry-clean counter has regulars who ask for the same person to handle a wedding dress or a favorite suit — that thin, replaceable familiarity is what keeps it at 5 instead of 0.

Judgment & accountability 4/20

Executes defined procedures on defined inputs. Calls like which solvent for silk versus wool, water temperature, and when a garment is too damaged to process follow the care label and posted shop procedure, with anything expensive or disputed escalated to the manager — real but narrow discretion, hence 4.

Confidence: high · reviewed 2026-08-11 · how scoring works

Tasks already automatable

What survives

Active moats: embodiment, physical-presence

How to future-proof this job

Escape hatches — adjacent fields with better verdicts

Computed from U.S. Dept. of Labor O*NET skill profiles: high overlap with what you already do, materially higher resistance score.

Shoe and Leather Workers and Repairers EXPOSED · 57/100 · you already have ~77% of the skill profile

Skills to close: Service Orientation

Refuse and Recyclable Material Collectors EXPOSED · 55/100 · you already have ~76% of the skill profile

Skills to close: Equipment Maintenance, Repairing

Cooks, Restaurant EXPOSED · 57/100 · you already have ~75% of the skill profile

Skills to close: Mathematics

Field report — do you do this job?

Has AI actually changed your work?

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

From people who do this job

Nobody has filed one yet. If you do this work, you know things the rubric can't see.

What has actually changed in your work?

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.