清掃員・用務員
食品調理・サービスAI露出度
- データ出典: BLS公表時点: 2026-08
低い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.000
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.12
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは97%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime.
| Task | βE1 + 0.5 × E2 |
|---|---|
Service, clean, or supply restrooms.O*NET Task ID 9538 | 0.0 |
Gather and empty trash.O*NET Task ID 9539 | 0.0 |
Clean building floors by sweeping, mopping, scrubbing, or vacuuming.O*NET Task ID 9540 | 0.0 |
Follow procedures for the use of chemical cleaners and power equipment to prevent damage to floors and fixtures.O*NET Task ID 9541 | 0.0 |
Mix water and detergents or acids in containers to prepare cleaning solutions, according to specifications.O*NET Task ID 9542 | 0.0 |
Strip, seal, finish, and polish floors.O*NET Task ID 9543 | 0.0 |
Notify managers concerning the need for major repairs or additions to building operating systems.O*NET Task ID 9544 | 0.0 |
Requisition supplies or equipment needed for cleaning and maintenance duties.O*NET Task ID 9545 | 0.0 |
Clean windows, glass partitions, or mirrors, using soapy water or other cleaners, sponges, or squeegees.O*NET Task ID 9546 | 0.0 |
Steam-clean or shampoo carpets.O*NET Task ID 9547 | 0.0 |
Set up, arrange, or remove decorations, tables, chairs, ladders, or scaffolding to prepare facilities for events, such as banquets or meetings.O*NET Task ID 9548 | 0.0 |
Clean and polish furniture and fixtures.O*NET Task ID 9549 | 0.0 |
Dust furniture, walls, machines, or equipment.O*NET Task ID 9550 | 0.0 |
Move heavy furniture, equipment, or supplies, either manually or with hand trucks.O*NET Task ID 9551 | 0.0 |
Remove snow from sidewalks, driveways, or parking areas, using snowplows, snow blowers, or snow shovels, or spread snow-melting chemicals.O*NET Task ID 9552 | 0.0 |
Clean laboratory equipment, such as glassware or metal instruments, using solvents, brushes, rags, or power cleaning equipment.O*NET Task ID 9553 | 0.0 |
Spray insecticides or fumigants to prevent insect or rodent infestation.O*NET Task ID 9554 | 0.0 |
Make adjustments or minor repairs to heating, cooling, ventilating, plumbing, or electrical systems.O*NET Task ID 9555 | 0.0 |
Clean and restore building interiors damaged by fire, smoke, or water, using commercial cleaning equipment.O*NET Task ID 9558 | 0.0 |
Clean chimneys, flues, and connecting pipes, using power or hand tools.O*NET Task ID 9559 | 0.0 |
Monitor building security and safety by performing tasks such as locking doors after operating hours or checking electrical appliance use to ensure that hazards are not created.O*NET Task ID 20590 | 0.0 |
Mow or trim lawns or shrubbery, using mowers or hand or power trimmers, and clear debris from grounds.O*NET Task ID 20591 | 0.0 |
Drive vans, industrial trucks, or other vehicles required to travel to, or to perform, cleaning work.O*NET Task ID 20592 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page