Cooks, Fast Food

Food Preparation and Serving Related Occupations

O*NET-SOC 代码: 35-2011.00

Prepare and cook food in a fast food restaurant with a limited menu. Duties of these cooks are limited to preparation of a few basic items and normally involve operating large-volume single-purpose cooking equipment.

数据来源: BLS发布时间: 2026-08
中等· 相对
低四级相对区间很高
职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
来源数据集（XLSX 文件下载）
数据来源: Anthropic发布时间: 2026-03
0.000
0.000此处所载数值的范围0.745
尺度 · 母数 · 来源
观测暴露度指数，按发布原值0–1
以O*NET任务映射为基准
按 SOC 2018 职业发布的数值；具有相同 SOC 2018 代码的所有 O*NET 职业均显示此值
来源数据集（CSV 文件下载）
数据来源: ILO发布时间: 2025
0.18
0.09此处所载数值的范围0.70
职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
按 ISCO-08 细类（4 位）发布的数值。按原样应用美国劳工统计局（BLS）的官方对照表（ISCO-08→2010 SOC、2010 SOC→2018 SOC）关联到本职业，对应关系为全部或部分对应
来源数据集（PDF 文件下载）

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。

Task-level exposure

显示隐藏的 13 项工作

已评分任务 19 项 · β ≥ 0.5 的任务 0 项（0.0%）

β = 直接暴露（E1）+ 0.5 × 借助工具时的暴露（E2），依据原始代码库的定义。

原始单位：O*NET 27.2 任务 → O*NET 31.0 职业代码
所有已评分任务均在 O*NET 31.0 任务列表中。

来源: OpenAI "GPTs are GPTs" exposure rubric
版本: gh-main-0471612
许可: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 20.1)	Claude.aiRaw / share %
Prepare specialty foods such as pizzas, fish and chips, sandwiches, and tacos, following specific methods that usually require short preparation time. 35-2011.00	0.025032.6
Wash, cut, and prepare foods designated for cooking. 35-2011.00	0.018524.1
Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions. 35-2011.00	0.015019.6
Measure ingredients required for specific food items being prepared. 35-2011.00	0.010914.2
Prepare dough, following recipe. 35-2011.00	0.00577.4
Cook and package batches of food, such as hamburgers and fried chicken, which are prepared to order or kept warm until sold. 35-2011.00	0.00162.1

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 (O*NET 27.2)	βE1 + 0.5 × E2
Maintain sanitation, health, and safety standards in work areas. O*NET Task ID 5053	0.0
Clean food preparation areas, cooking surfaces, and utensils. O*NET Task ID 5054	0.0
Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles. O*NET Task ID 5055	0.0
Verify that prepared food meets requirements for quality and quantity. O*NET Task ID 5056	0.0
Take food and drink orders and receive payment from customers. O*NET Task ID 5057	0.0
Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions. O*NET Task ID 5058	0.0
Wash, cut, and prepare foods designated for cooking. O*NET Task ID 5059	0.0
Measure ingredients required for specific food items. O*NET Task ID 5060	0.0
Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold. O*NET Task ID 5061	0.0
Cook the exact number of items ordered by each customer, working on several different orders simultaneously. O*NET Task ID 5062	0.0
Serve orders to customers at windows, counters, or tables. O*NET Task ID 5063	0.0
Clean, stock, and restock workstations and display cases. O*NET Task ID 5064	0.0
Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time. O*NET Task ID 5065	0.0
Prepare dough, following recipe. O*NET Task ID 5066	0.0
Schedule activities and equipment use with managers, using information about daily menus to help coordinate cooking times. O*NET Task ID 5067	0.0
Prepare and serve beverages, such as coffee or fountain drinks. O*NET Task ID 5068	0.0
Mix ingredients, such as pancake or waffle batters. O*NET Task ID 5069	0.0
Order and take delivery of supplies. O*NET Task ID 5070	0.0
Pre-cook items, such as bacon, to prepare them for later use. O*NET Task ID 5071	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

O*NET 31.0 全部任务（20 项）

本职业在 O*NET 31.0 中的全部任务（英文原文；任务类型为核心或补充）。暴露值不列在此清单中，而在上方表格里，位于各来源所用 O*NET 版本的任务表述旁。

任务（O*NET 31.0）	类型
Maintain sanitation, health, and safety standards in work areas.	核心
Clean food preparation areas, cooking surfaces, and utensils.	核心
Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles.	核心
Verify that prepared food meets requirements for quality and quantity.	核心
Take food and drink orders and receive payment from customers.	核心
Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions.	核心
Wash, cut, and prepare foods designated for cooking.	核心
Measure ingredients required for specific food items.	核心
Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold.	核心
Cook the exact number of items ordered by each customer, working on several different orders simultaneously.	核心
Serve orders to customers at windows, counters, or tables.	核心
Clean, stock, and restock workstations and display cases.	核心
Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time.	核心
Pre-cook items, such as bacon, to prepare them for later use.	核心
Take out garbage.	核心
Prepare dough, following recipe.	补充
Schedule activities and equipment use with managers, using information about daily menus to help coordinate cooking times.	补充
Prepare and serve beverages, such as coffee or fountain drinks.	补充
Mix ingredients, such as pancake or waffle batters.	补充
Order and take delivery of supplies.	补充

Anthropic「What work can robots do?」2026-09

1.21/ 3· 机器人暴露指数

0 不可3 非结构化环境

尺度 · 母数 · 来源

对每项体力任务，按已实际部署、销售或演示的机器人能够完成它的环境评定 0–3 级（0 不可 · 1 围栏式机器单元、灌装线等机器人专用设施 · 2 医院药房、集装箱港口等受管理的设施 · 3 私人住宅、建筑工地等非结构化环境），再按工作时间占比求平均

以该职业 O*NET 29.3 任务中的体力任务为准

等级与时间占比由 Anthropic 使用 Claude Opus 5（网络搜索）估算（截至 2026 年）。

来源数据集

机器人暴露指数与本站的 AI 暴露度是不同的指标，不能相加或相互比较。该指数不代表实际采用情况或成本竞争力，0 也包括没有体力任务的职业。

每项体力任务的等级

机器人环境等级（E0–E3）

E0 机器人不可详情
评定为已实际部署、销售或演示的机器人即使在机器人专用设施中也无法完成
E1 机器人专用设施详情
评定为可在围绕机器搭建的设施中完成，例如围栏式机器单元或灌装线
E2 受管理的设施详情
评定为可在由机构按工作标准维护的人类工作设施中完成，例如医院药房或集装箱港口
E3 非结构化环境详情
评定为可在没有机构按工作标准维护的环境中完成，例如私人住宅或建筑工地

仅列出被归类为体力任务的任务；其他任务在来源中没有等级。

任务（O*NET 29.3）	机器人环境等级
Maintain sanitation, health, and safety standards in work areas.	E1 机器人专用设施
Clean food preparation areas, cooking surfaces, and utensils.	E1 机器人专用设施
Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles.	E2 受管理的设施
Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions.	E1 机器人专用设施
Wash, cut, and prepare foods designated for cooking.	E1 机器人专用设施
Measure ingredients required for specific food items.	E2 受管理的设施
Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold.	E2 受管理的设施
Cook the exact number of items ordered by each customer, working on several different orders simultaneously.	E1 机器人专用设施
Serve orders to customers at windows, counters, or tables.	E2 受管理的设施
Clean, stock, and restock workstations and display cases.	E1 机器人专用设施
Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time.	E1 机器人专用设施
Prepare dough, following recipe.	E1 机器人专用设施
Prepare and serve beverages, such as coffee or fountain drinks.	E1 机器人专用设施
Mix ingredients, such as pancake or waffle batters.	E1 机器人专用设施
Order and take delivery of supplies.	E1 机器人专用设施
Pre-cook items, such as bacon, to prepare them for later use.	E1 机器人专用设施

就业展望（BLS）

就业人数，2025: 641K
预计就业人数，2035: 644K
变化 (2025–35): +0.6%
年薪中位数，2025: $30,890
入职通常所需学历: No formal educational credential

最低 $30,890BLS EP 2025–35 中 825 个细分职业的工资中位数范围最高 $559,030

来源: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

韩国职业分类关联（KSCO）

来自 AI Changing Work 制作的 Korea Occupation Direct Crosswalk v1.1 当前版本的关联。关系值从 O*NET-SOC 职业一侧解读。

KSCO 代码	KSCO 名称	关系	状态
95210	패스트푸드 준비원	范围相同	已确认

关系与状态的定义(kr-direct v1.1)

国际劳工组织（ILO）职业说明

以下 ISCO-08 职业组由 AI Changing Work 原样套用美国劳工统计局（BLS）发布的对照表（2018 SOC→2010 SOC、2010 SOC→ISCO-08）、不逐案取舍，与本职业相关联；每项关联可能是完全对应，也可能是部分对应。

ISCO-08 9411Fast Food Preparers
快餐制作人员

自行翻译

自行翻译 · 非 ISCO 官方词汇 — 未经国际劳工组织审核。

Sources: ILO ISCO-08 — details: Credits

ESCO 职业词汇

以下每一项都是在已公开的ESCO-O*NET Crosswalk（第 1 版，2022 年）中与本职业逐项对应的。对应类型出自该对照表；表述出自 AI Changing Work。

cookESCO 5120.1本职业范围更窄
cooks are culinary operatives who are able to prepare and present food, normally in domestic and institutional environments.
quick service restaurant crew memberESCO 9411.2有重叠，但不相同
Quick service restaurant crew members prepare, cook and serve food and beverages in a quick service operation.

来源: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

许可: CC BY 4.0 (EU Reuse Notice)

查看原文

ESCO reuse terms and the modification notice are in Credits.

法国职业分类关联（ROME）

本职业与 ROME 4.0 职业条目（fiche）之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。标为「暂定」的关联仅凭同一模型系列（Claude）两位判定者的判定采纳，或对其判定适用运营方规则后采纳，因此其依据弱于已确认的关联。

ROME 代码	ROME 名称（法语）	关系
G1603	Equipier polyvalent / Equipière polyvalente de restauration rapide	本职业范围更窄暂定
G1604	Pizzaïolo / Pizzaïola	相关，但不对应暂定

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

西班牙职业分类关联（CNO-11）

本职业与 CNO-11 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

CNO-11 代码	CNO-11 名称（西班牙语）	关系
9320	Preparadores de comidas rápidas	本职业范围更窄暂定

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

德国职业分类关联（KldB）

本职业与 KldB 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

KldB 代码	KldB 名称（德语）	关系
63312	Berufe in der Systemgastronomie - fachlich ausgerichtete Tätigkeiten	有重叠，但不相同暂定
29301	Köche/Köchinnen (ohne Spezialisierung) - Helfer-/Anlerntätigkeiten	相关，但不对应暂定
62301	Berufe im Verkauf von Lebensmitteln (ohne Spezialisierung) - Helfer-/Anlerntätigkeiten	相关，但不对应暂定

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

日本职业分类关联（JSCO）

本职业与 JSCO 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

JSCO 代码	JSCO 名称（日语）	关系
391	調理人	本职业范围更窄暂定

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

本页数据的来源与许可，以及 AI Changing Work 的修改与翻译说明：致谢与来源