रसोइया
खाद्य तैयारी और सेवाAI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: '26.08
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: '26.03
0.012
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: '25
0.18
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 90% 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 % |
|---|---|
Plan and price menu items.35-2014 | 0.051881.6 |
Weigh, measure, and mix ingredients according to recipes or personal judgment, using various kitchen utensils and equipment.35-2014 | 0.00629.8 |
Bake, roast, broil, and steam meats, fish, vegetables, and other foods.35-2014 | 0.00294.6 |
Ensure food is stored and cooked at correct temperature by regulating temperature of ovens, broilers, grills, and roasters.35-2014 | 0.00264.1 |
| Not observed on any surface — 16 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. | |
Turn or stir foods to ensure even cooking. | —0 |
Season and cook food according to recipes or personal judgment and experience. | —0 |
Observe and test foods to determine if they have been cooked sufficiently, using methods such as tasting, smelling, or piercing them with utensils. | —0 |
Portion, arrange, and garnish food, and serve food to waiters or patrons. | —0 |
Substitute for or assist other cooks during emergencies or rush periods. | —0 |
Wash, peel, cut, and seed fruits and vegetables to prepare them for consumption. | —0 |
Carve and trim meats such as beef, veal, ham, pork, and lamb for hot or cold service, or for sandwiches. | —0 |
Inspect and clean food preparation areas, such as equipment and work surfaces, or serving areas to ensure safe and sanitary food-handling practices. | —0 |
Ensure freshness of food and ingredients by checking for quality, keeping track of old and new items, and rotating stock. | —0 |
Estimate expected food consumption, requisition or purchase supplies, or procure food from storage. | —0 |
Coordinate and supervise work of kitchen staff. | —0 |
Consult with supervisory staff to plan menus, taking into consideration factors such as costs and special event needs. | —0 |
Butcher and dress animals, fowl, or shellfish, or cut and bone meat prior to cooking. | —0 |
Bake breads, rolls, cakes, and pastries. | —0 |
Prepare relishes and hors d'oeuvres. | —0 |
Keep records and accounts. | —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 |
|---|---|
Keep records and accounts.O*NET Task ID 2185 | 1.0 |
Estimate expected food consumption, requisition or purchase supplies, or procure food from storage.O*NET Task ID 2178 | 0.5 |
Consult with supervisory staff to plan menus, taking into consideration factors such as costs and special event needs.O*NET Task ID 2181 | 0.5 |
Plan and price menu items.O*NET Task ID 2186 | 0.5 |
Turn or stir foods to ensure even cooking.O*NET Task ID 2169 | 0.0 |
Season and cook food according to recipes or personal judgment and experience.O*NET Task ID 2170 | 0.0 |
Observe and test foods to determine if they have been cooked sufficiently, using methods such as tasting, smelling, or piercing them with utensils.O*NET Task ID 2171 | 0.0 |
Weigh, measure, and mix ingredients according to recipes or personal judgment, using various kitchen utensils and equipment.O*NET Task ID 2172 | 0.0 |
Portion, arrange, and garnish food, and serve food to waiters or patrons.O*NET Task ID 2173 | 0.0 |
Substitute for or assist other cooks during emergencies or rush periods.O*NET Task ID 2175 | 0.0 |
Bake, roast, broil, and steam meats, fish, vegetables, and other foods.O*NET Task ID 2176 | 0.0 |
Wash, peel, cut, and seed fruits and vegetables to prepare them for consumption.O*NET Task ID 2177 | 0.0 |
Carve and trim meats such as beef, veal, ham, pork, and lamb for hot or cold service, or for sandwiches.O*NET Task ID 2179 | 0.0 |
Coordinate and supervise work of kitchen staff.O*NET Task ID 2180 | 0.0 |
Butcher and dress animals, fowl, or shellfish, or cut and bone meat prior to cooking.O*NET Task ID 2182 | 0.0 |
Bake breads, rolls, cakes, and pastries.O*NET Task ID 2183 | 0.0 |
Prepare relishes and hors d'oeuvres.O*NET Task ID 2184 | 0.0 |
Inspect and clean food preparation areas, such as equipment, work surfaces, and serving areas, to ensure safe and sanitary food-handling practices.O*NET Task ID 18722 | 0.0 |
Ensure food is stored and cooked at correct temperature by regulating temperature of ovens, broilers, grills, and roasters.O*NET Task ID 18723 | 0.0 |
Ensure freshness of food and ingredients by checking for quality, keeping track of old and new items, and rotating stock.O*NET Task ID 18724 | 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
Occupation information
इस व्यवसाय से जुड़े हालिया बदलाव
मई 2026: Anthropic देखी गई एक्सपोज़र: 0% (physical/in-person). देखी एक्सपोज़र शून्य। शारीरिक/व्यक्तिगत काम — AI तैनाती वस्तुतः अनुपस्थित।
[स्रोत: Anthropic Economic Research (Massenkoff & McCrory, 2026)]