बरिस्ता
खाद्य तैयारी और सेवाAI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
मध्यम· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.000
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.24
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 79% इस मान के बराबर या उससे अधिक हैं।
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Task-level exposure
केवल एक्सपोज़र वाले कार्य| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Communicate with customers regarding orders, comments, and complaints.35-3023 | 0.0100100.0 | 0.030060.0 |
Create signs to advertise store products or events.35-3023 | 0.00000.0 | —0 |
Receive and process customer payments. | —0 | 0.020040.0 |
| Not observed on any surface — 43 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 | —0 |
Scrub and polish counters, steam tables, and other equipment, and clean glasses, dishes, and fountain equipment. | —0 | —0 |
Perform cleaning duties, such as sweeping, mopping, and washing dishes, to keep equipment and facilities sanitary. | —0 | —0 |
Balance receipts and payments in cash registers. | —0 | —0 |
Request and record customer orders, and compute bills, using cash registers, multi-counting machines, or pencil and paper. | —0 | —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 | —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 | —0 |
Clean and organize eating, service, and kitchen areas. | —0 | —0 |
Monitor and order supplies or food items, and restock as necessary to maintain inventory. | —0 | —0 |
Brew coffee and tea, and fill containers with requested beverages. | —0 | —0 |
Serve customers in eating places that specialize in fast service and inexpensive carry-out food. | —0 | —0 |
Collect and return dirty dishes to the kitchen for washing. | —0 | —0 |
Wrap menu items such as sandwiches, hot entrees, and desserts for serving or for takeout. | —0 | —0 |
Prepare and serve cold drinks, frozen milk drinks, or desserts, using drink-dispensing, milkshake, or frozen-custard machines. | —0 | —0 |
Set up dining areas for meals, and clear them following meals. | —0 | —0 |
Deliver orders to kitchens, and pick up and serve food when it is ready. | —0 | —0 |
Wash dishes, glassware, and silverware after meals. | —0 | —0 |
Notify kitchen personnel of shortages or special orders. | —0 | —0 |
Select food items from serving or storage areas and place them in dishes, on serving trays, or in take-out bags. | —0 | —0 |
Replenish foods at serving stations. | —0 | —0 |
Perform personnel activities, such as supervising and training employees. | —0 | —0 |
Take customers' orders and write ordered items on tickets, giving ticket stubs to customers when needed to identify filled orders. | —0 | —0 |
Distribute food to servers. | —0 | —0 |
Add relishes and garnishes to food orders, according to instructions. | —0 | —0 |
Arrange tables and decorations according to instructions. | —0 | —0 |
Plan, prepare, and deliver meals to individuals with special dietary needs. | —0 | —0 |
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas. | —0 | —0 |
Clean or sanitize work areas, utensils, or equipment. | —0 | —0 |
Clean service or seating areas. | —0 | —0 |
Check temperatures of freezers, refrigerators, or heating equipment to ensure proper functioning. | —0 | —0 |
Describe menu items to customers, or suggest products that might appeal to them. | —0 | —0 |
Order, receive, or stock supplies or retail products. | —0 | —0 |
Provide customers with product details, such as coffee blend or preparation descriptions. | —0 | —0 |
Serve prepared foods, such as muffins, biscotti, or bagels. | —0 | —0 |
Stock customer service stations with paper products or beverage preparation items. | —0 | —0 |
Take customer orders and convey them to other employees for preparation. | —0 | —0 |
Take out garbage. | —0 | —0 |
Weigh, grind, or pack coffee beans for customers. | —0 | —0 |
Wrap, label, or date food items for sale. | —0 | —0 |
Demonstrate the use of retail equipment, such as espresso machines. | —0 | —0 |
Prepare or serve menu items, such as sandwiches or salads. | —0 | —0 |
Set up or restock product displays. | —0 | —0 |
Slice fruits, vegetables, desserts, or meats for use in food service. | —0 | —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
व्यावसायिक जानकारी
इस व्यवसाय से जुड़े हालिया बदलाव
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[स्रोत: AI Changing Work Blog]