Community Sentiment
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AI Automation Index
Will AI Replace Maids and Housekeeping Cleaners?
Task-level automation exposure for Maids and Housekeeping Cleaners: 20 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
18%
weighted task index
20 of 20 tasks scored
Median Salary
$35,510 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
860,670 people hold this job — size, not growth
Projected 2025–35
+0.6%
employment change
175,500 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$21,470 – $51,600
Highest medians
Hawaii $51,600
Nevada $46,550
California $42,660
District of Columbia $42,260
Washington $42,180
Lowest medians
Guam $21,470
Puerto Rico $22,550
Mississippi $25,360
Louisiana $26,600
Alabama $27,480
State figures come from the 37-2012 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 18%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 81%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 8%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 0%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 1/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 14%
3 tasks
Medium exposure (≥ 35%) 7%
1 tasks
Low exposure (below 35%) 79%
16 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#9564 · Core · 36% automatable
Keep storage areas and carts well-stocked, clean, and tidy.
data analysis — Digital inventory records reconcile well; physical counts need humans
Clean facilities or sites. Inventory materials or equipment.
#9560 · Core · 8% automatable
Carry linens, towels, toilet items, and cleaning supplies, using wheeled carts.
physical manipulation — Manual moving of materials and supplies
Move materials, equipment, or supplies.
#9561 · Core · 10% automatable
Clean rooms, hallways, lobbies, lounges, restrooms, corridors, elevators, stairways, locker rooms, and other work areas so that health standards are met.
physical manipulation — Facility cleaning requires physical manipulation
Clean facilities or sites.
#9562 · Core · 5% automatable
Empty wastebaskets, empty and clean ashtrays, and transport other trash and waste to disposal areas.
physical manipulation — Physical disposal of trash and waste
Dispose of trash or waste materials.
#9566 · Core · 10% automatable
Sweep, scrub, wax, or polish floors, using brooms, mops, or powered scrubbing and waxing machines.
physical manipulation — Wall and floor cleaning is hands-on labor
Clean building walls or flooring.
#9563 · Core · 62% automatable
Replenish supplies, such as drinking glasses, linens, writing supplies, and bathroom items.
data analysis — Digital inventory records reconcile well; physical counts need humans
Inventory materials or equipment.
#9567 · Core · 8% automatable
Clean rugs, carpets, upholstered furniture, and draperies, using vacuum cleaners and shampooers.
physical manipulation — Wall and floor cleaning is hands-on labor
Clean furniture or fixtures. Clean building walls or flooring.
#9568 · Core · 8% automatable
Wash windows, walls, ceilings, and woodwork, waxing and polishing as necessary.
physical manipulation — Wall and floor cleaning is hands-on labor
Clean furniture or fixtures. Clean building walls or flooring.
#9565 · Core · 5% automatable
Dust and polish furniture and equipment.
physical manipulation — Physical wiping and cleaning of furniture
Clean furniture or fixtures. Clean equipment or supplies.
#9570 · Supplemental · 5% automatable
Disinfect equipment and supplies, using germicides or steam-operated sterilizers.
physical manipulation — Manual cleaning of equipment and supplies
Clean equipment or supplies.
#9571 · Supplemental · 30% automatable
Observe precautions required to protect hotel and guest property and report damage, theft, and found articles to supervisors.
situated mobility — Premises monitoring requires physical patrol and presence
Monitor building premises to ensure occupant or visitor safety.
#9577 · Supplemental · 62% automatable
Sort, count, and mark clean linens and store them in linen closets.
data analysis — Digital inventory records reconcile well; physical counts need humans
Inventory materials or equipment.
#9575 · Supplemental · 10% automatable
Sort clothing and other articles, load washing machines, and iron and fold dried items.
physical manipulation — Sorting physical materials requires hands-on handling
Sort materials or products. Operate garment treatment equipment.
#9587 · Supplemental · 6% automatable
Move and arrange furniture and turn mattresses.
physical manipulation — Manual moving of furniture in varied spaces
Move furniture.
#9582 · Supplemental · 10% automatable
Replace light bulbs.
physical manipulation — Hands-on system maintenance to ensure function
Maintain equipment or systems to ensure proper functioning.
#9586 · Supplemental · 6% automatable
Deliver television sets, ironing boards, baby cribs, and rollaway beds to guests' rooms.
physical manipulation — Manual moving of furniture in varied spaces
Move furniture.
#9569 · Supplemental · 5% automatable
Hang draperies and dust window blinds.
physical manipulation — Physical wiping and cleaning of furniture
Clean furniture or fixtures. Decorate indoor or outdoor spaces.
#9581 · Supplemental · 65% automatable
Request repair services and wait for repair workers to arrive.
data analysis — AI coordinates repair schedules; human handles field issues
Schedule repair, installation or maintenance activities.
#9579 · Supplemental · 6% automatable
Prepare rooms for meetings and arrange decorations, media equipment, and furniture for social or business functions.
physical manipulation — Manual moving of furniture in varied spaces
Move furniture. Decorate indoor or outdoor spaces.
#9578 · Supplemental · 5% automatable
Polish silver accessories and metalwork, such as fixtures and fittings.
physical manipulation — Physical wiping and cleaning of furniture
Clean furniture or fixtures.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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