বারিস্তা
খাদ্য প্রস্তুতি ও সেবাAI এক্সপোজার
- ডেটার উৎস: BLSপ্রকাশকাল: 2026-08
মাঝারি· আপেক্ষিক
কমচারটি আপেক্ষিক স্তরঅত্যন্ত উচ্চপেশা-গোষ্ঠী পর্যায়ের মান
স্কেল, ভিত্তি ও উৎস
চারটি আপেক্ষিক স্তর (কম / মাঝারি / উচ্চ / অত্যন্ত উচ্চ)
BLS কর্মসংস্থান পূর্বাভাস সারণির 831টি বিস্তারিত পেশার ভিত্তিতে। মান NEM (ন্যাশনাল এমপ্লয়মেন্ট ম্যাট্রিক্স) কোড অনুযায়ী দেওয়া হয়, তাই একই NEM কোডের পেশাগুলি একই ব্যান্ড পায়
- ডেটার উৎস: Anthropicপ্রকাশকাল: 2026-03
0.000
0.000এখানে থাকা মানগুলোর পরিসর0.745স্কেল, ভিত্তি ও উৎস
- ডেটার উৎস: ILOপ্রকাশকাল: 2025
0.24
0.09এখানে থাকা মানগুলোর পরিসর0.70পেশা-গোষ্ঠী পর্যায়ের মান
স্কেল, ভিত্তি ও উৎস
জেনারেটিভ AI এক্সপোজার সূচক, প্রকাশিত রূপে 0–1
ISCO-08 ইউনিট গ্রুপ — একই কোডের সব পেশা এই মানই পায়
এটি এই সাইটের হিসাব, ILO-এর প্রকাশিত সংখ্যা নয়: এই সাইট ILO ডেটাসেটের সঙ্গে যুক্ত করা ১,০১২টি পেশার মধ্যে 79% এই মানের সমান বা তার বেশি।
এই উৎস কী ধরনের মান প্রকাশ করে
BLS-এর শ্রেণিবিভাগ একটি আপেক্ষিক র্যাঙ্ক, পরম মাত্রা নয়, এবং এটি সরাসরি পরিমাপও নয়: এটি কয়েকটি প্রকাশিত গবেষণায় পাওয়া পেশার পার্সেন্টাইল র্যাঙ্কগুলিকে চারটি স্তরে ভাগ করে। এটি কর্মসংস্থান বা মজুরির পূর্বাভাস নয়, গ্রহণের সম্ভাবনাও নয়, এবং এটি স্বয়ংক্রিয়তা ও সম্প্রসারণের মধ্যে পার্থক্য করে না।
Task-level exposure
শুধু এক্সপোজার থাকা কাজ| 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
পেশাগত তথ্য
এই পেশা সংক্রান্ত সাম্প্রতিক পরিবর্তন
মার্চ ২০২৬: Published evergreen blog post analyzing AI impact on baristas with 18% exposure and 20% automation risk.
[সূত্র: AI Changing Work Blog]