Will AI replace Janitors and Cleaners, Except Maids and Housekeeping Cleaners?
Estimated risk score: 8 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 27).
For the occupation as a whole, from ratings of its 23 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 37-2011.00 · 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 23 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: 23 of its 23 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean and polish furniture and fixtures.
- Clean building floors by sweeping, mopping, scrubbing, or vacuuming.
- Clean windows, glass partitions, or mirrors, using soapy water or other cleaners, sponges, or squeegees.
- Dust furniture, walls, machines, or equipment.
- Follow procedures for the use of chemical cleaners and power equipment to prevent damage to floors and fixtures.
- Gather and empty trash.
What the job is
Keep buildings in clean and orderly condition. Perform heavy cleaning duties, such as cleaning floors, shampooing rugs, washing walls and glass, and removing rubbish. Duties may include tending furnace and boiler, performing routine maintenance activities, notifying management of need for repairs, and cleaning snow or debris from sidewalk.
Also called: Janitor, Custodian, Custodial Worker, Sweeper, Scrubber, Hired Man, Day Porter, Camp Tender.
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