Will Robots Replace Laundry Worker — Commercial?
The Geppetto Robot Impact Score for the Laundry Worker — Commercial role is 61/100 (high risk band). This is a composite research estimate of automation exposure across the occupation — not a prediction about any individual job.
Automation risk breakdown
| Composite impact score | 61/100 |
|---|---|
| Risk band (OECD) | High |
| Oxford (Frey & Osborne) score | 88/100 |
| IFR deployment score | 4/10 |
| Timeline | Mid Term |
| Impact type | Partial Displacement |
| Sector | Domestic |
| Median annual salary (US) | $31,650 (BLS OES 2024) |
| Current global employment | 1,350,000 |
| O*NET code | 51-6011.00 |
| Robots tracked for this role | 10 |
How this score is calculated
The composite Robot Impact Score weights O*NET task data (35%), IFR robot deployment figures (30%), Oxford and OECD academic risk estimates (20%), and robot density for the role (15%). Scores describe occupation-level exposure and are estimates, not forecasts.