バリスタ
食品調理・サービスAI露出度
- データ出典: BLS公表時点: 2026-08
中程度· 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
0.24
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79%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
露出のある作業のみ| Task | Claude.aiRaw / share % |
|---|---|
Communicate with customers regarding orders, comments, and complaints.35-3021 | 0.011245.3 |
Cook food or prepare food items, such as sandwiches, salads, and ice cream dishes, using standard formulas or following directions.35-3022 | 0.008534.2 |
Describe menu items to customers or suggest products that might appeal to them.35-3022 | 0.005120.5 |
| Not observed on any surface — 54 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. | |
Accept payment from customers, and make change as necessary. | —0 |
Request and record customer orders, and compute bills using cash registers, multi counting machines, or pencil and paper. | —0 |
Serve customers in eating places that specialize in fast service and inexpensive carry-out food. | —0 |
Prepare and serve cold drinks, or frozen milk drinks or desserts, using drink-dispensing, milkshake, or frozen custard machines. | —0 |
Select food items from serving or storage areas and place them in dishes, on serving trays, or in take-out bags. | —0 |
Notify kitchen personnel of shortages or special orders. | —0 |
Cook or reheat food items such as french fries. | —0 |
Wash dishes, glassware, and silverware after meals. | —0 |
Collect and return dirty dishes to the kitchen for washing. | —0 |
Relay food orders to cooks. | —0 |
Clean and organize eating, service, and kitchen areas. | —0 |
Prepare daily food items, and cook simple foods and beverages, such as sandwiches, salads, soups, pizza, or coffee, using proper safety precautions and sanitary measures. | —0 |
Perform personnel activities such as supervising and training employees. | —0 |
Monitor and order supplies or food items and restock as necessary to maintain inventory. | —0 |
Distribute food to servers. | —0 |
Serve food and beverages to guests at banquets or other social functions. | —0 |
Provide caterers with assistance in food preparation or service. | —0 |
Pack food, dishes, utensils, tablecloths, and accessories for transportation from catering or food preparation establishments to locations designated by customers. | —0 |
Arrange tables and decorations according to instructions. | —0 |
Plan, prepare, and deliver meals to individuals with special dietary needs. | —0 |
Scrub and polish counters, steam tables, and other equipment, and clean glasses, dishes, and fountain equipment. | —0 |
Serve food, beverages, or desserts to customers in such settings as take-out counters of restaurants or lunchrooms, business or industrial establishments, hotel rooms, and cars. | —0 |
Replenish foods at serving stations. | —0 |
Wrap menu item such as sandwiches, hot entrees, and desserts for serving or for takeout. | —0 |
Prepare bills for food, using cash registers, calculators, or adding machines, and accept payment or make change. | —0 |
Brew coffee and tea, and fill containers with requested beverages. | —0 |
Balance receipts and payments in cash registers. | —0 |
Perform cleaning duties such as sweeping, mopping, and washing dishes, to keep equipment and facilities sanitary. | —0 |
Take customers' orders and write ordered items on tickets, giving ticket stubs to customers when needed to identify filled orders. | —0 |
Deliver orders to kitchens, and pick up and serve food when it is ready. | —0 |
Serve salads, vegetables, meat, breads, and cocktails, ladle soups and sauces, portion desserts, and fill beverage cups and glasses. | —0 |
Add relishes and garnishes to food orders, according to instructions. | —0 |
Carve meat. | —0 |
Order items needed to replenish supplies. | —0 |
Set up dining areas for meals and clear them following meals. | —0 |
Arrange reservations for patrons of dining establishments. | —0 |
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas. | —0 |
Clean or sanitize work areas, utensils, or equipment. | —0 |
Clean service or seating areas. | —0 |
Check temperatures of freezers, refrigerators, or heating equipment to ensure proper functioning. | —0 |
Order, receive, or stock supplies or retail products. | —0 |
Provide customers with product details, such as coffee blend or preparation descriptions. | —0 |
Receive and process customer payments. | —0 |
Serve prepared foods, such as muffins, biscotti, or bagels. | —0 |
Stock customer service stations with paper products or beverage preparation items. | —0 |
Take customer orders and convey them to other employees for preparation. | —0 |
Take out garbage. | —0 |
Weigh, grind, or pack coffee beans for customers. | —0 |
Wrap, label, or date food items for sale. | —0 |
Create signs to advertise store products or events. | —0 |
Demonstrate the use of retail equipment, such as espresso machines. | —0 |
Prepare or serve menu items, such as sandwiches or salads. | —0 |
Set up or restock product displays. | —0 |
Slice fruits, vegetables, desserts, or meats for use in food service. | —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 |
|---|---|
Describe menu items to customers, or suggest products that might appeal to them.O*NET Task ID 17585 | 1.0 |
Provide customers with product details, such as coffee blend or preparation descriptions.O*NET Task ID 17587 | 1.0 |
Create signs to advertise store products or events.O*NET Task ID 17595 | 0.5 |
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.O*NET Task ID 17581 | 0.0 |
Clean or sanitize work areas, utensils, or equipment.O*NET Task ID 17582 | 0.0 |
Clean service or seating areas.O*NET Task ID 17583 | 0.0 |
Check temperatures of freezers, refrigerators, or heating equipment to ensure proper functioning.O*NET Task ID 17584 | 0.0 |
Order, receive, or stock supplies or retail products.O*NET Task ID 17586 | 0.0 |
Receive and process customer payments.O*NET Task ID 17588 | 0.0 |
Serve prepared foods, such as muffins, biscotti, or bagels.O*NET Task ID 17589 | 0.0 |
Stock customer service stations with paper products or beverage preparation items.O*NET Task ID 17590 | 0.0 |
Take customer orders and convey them to other employees for preparation.O*NET Task ID 17591 | 0.0 |
Take out garbage.O*NET Task ID 17592 | 0.0 |
Weigh, grind, or pack coffee beans for customers.O*NET Task ID 17593 | 0.0 |
Wrap, label, or date food items for sale.O*NET Task ID 17594 | 0.0 |
Demonstrate the use of retail equipment, such as espresso machines.O*NET Task ID 17596 | 0.0 |
Prepare or serve menu items, such as sandwiches or salads.O*NET Task ID 17597 | 0.0 |
Set up or restock product displays.O*NET Task ID 17598 | 0.0 |
Slice fruits, vegetables, desserts, or meats for use in food service.O*NET Task ID 17599 | 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