Will AI replace Maids and Housekeeping Cleaners?
Estimated risk score: 7 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 26).
For the occupation as a whole, from ratings of its 25 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 37-2012.00 · Building and Grounds Cleaning and Maintenance
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 25 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 25 of its 25 rated tasks; the first 6 are shown. In O*NET’s words.
- Carry linens, towels, toilet items, and cleaning supplies, using wheeled carts.
- Clean rooms, hallways, lobbies, lounges, restrooms, corridors, elevators, stairways, locker rooms, and other work areas so that health standards are met.
- Clean rugs, carpets, upholstered furniture, and draperies, using vacuum cleaners and shampooers.
- Dust and polish furniture and equipment.
- Empty wastebaskets, empty and clean ashtrays, and transport other trash and waste to disposal areas.
- Keep storage areas and carts well-stocked, clean, and tidy.
What the job is
Perform any combination of light cleaning duties to maintain private households or commercial establishments, such as hotels and hospitals, in a clean and orderly manner. Duties may include making beds, replenishing linens, cleaning rooms and halls, and vacuuming.
Also called: Housekeeping Laundry Worker, Environmental Services Worker, GRA, Maid, Bed Maker, Charwoman, Housemaid, Room Maid.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate