食器洗浄作業員
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
0.13
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
| Task | Claude.aiRaw / share % |
|---|---|
Clean or prepare various foods for cooking or serving.35-9021 | 0.00000.0 |
| Not observed on any surface — 12 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Wash dishes, glassware, flatware, pots, or pans, using dishwashers or by hand. | —0 |
Place clean dishes, utensils, or cooking equipment in storage areas. | —0 |
Maintain kitchen work areas, equipment, or utensils in clean and orderly condition. | —0 |
Stock supplies, such as food or utensils, in serving stations, cupboards, refrigerators, or salad bars. | —0 |
Sweep or scrub floors. | —0 |
Clean garbage cans with water or steam. | —0 |
Sort and remove trash, placing it in designated pickup areas. | —0 |
Transfer supplies or equipment between storage and work areas, by hand or using hand trucks. | —0 |
Receive and store supplies. | —0 |
Set up banquet tables. | —0 |
Prepare and package individual place settings. | —0 |
Load or unload trucks that deliver or pick up food or supplies. | —0 |
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. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Wash dishes, glassware, flatware, pots, or pans, using dishwashers or by hand.O*NET Task ID 11186 | 0.0 |
Place clean dishes, utensils, or cooking equipment in storage areas.O*NET Task ID 11187 | 0.0 |
Maintain kitchen work areas, equipment, or utensils in clean and orderly condition.O*NET Task ID 11188 | 0.0 |
Stock supplies, such as food or utensils, in serving stations, cupboards, refrigerators, or salad bars.O*NET Task ID 11189 | 0.0 |
Sweep or scrub floors.O*NET Task ID 11190 | 0.0 |
Clean garbage cans with water or steam.O*NET Task ID 11191 | 0.0 |
Sort and remove trash, placing it in designated pickup areas.O*NET Task ID 11192 | 0.0 |
Clean or prepare various foods for cooking or serving.O*NET Task ID 11193 | 0.0 |
Set up banquet tables.O*NET Task ID 11194 | 0.0 |
Transfer supplies or equipment between storage and work areas, by hand or using hand trucks.O*NET Task ID 11195 | 0.0 |
Receive and store supplies.O*NET Task ID 11196 | 0.0 |
Prepare and package individual place settings.O*NET Task ID 11197 | 0.0 |
Load or unload trucks that deliver or pick up food or supplies.O*NET Task ID 11198 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page