Will Robots Replace Hotel Laundry Attendant?
The Geppetto Robot Impact Score for the Hotel Laundry Attendant role is 74/100 (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 | 74/100 |
|---|---|
| Risk band (OECD) | High |
| Oxford (Frey & Osborne) score | 88/100 |
| IFR deployment score | 4/10 |
| Timeline | Mid Term |
| Impact type | Partial Displacement |
| Sector | Hospitality |
| Median annual salary (US) | $33,990 (BLS OES 2024) |
| Current global employment | 945,000 |
| O*NET code | 51-6011.00 |
| Robots tracked for this role | 50 |
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.