酒店经理
食品准备与服务AI暴露度
- 数据来源: BLS发布时间: 2026-08
高· 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
- 数据来源: Anthropic发布时间: 2026-03
0.121
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.37
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
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 53%。
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 3 项工作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 |
|---|---|
Prepare required paperwork pertaining to departmental functions.O*NET Task ID 1117 | 1.0 |
Greet and register guests.O*NET Task ID 1104 | 0.5 |
Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints.O*NET Task ID 1105 | 0.5 |
Assign duties to workers, and schedule shifts.O*NET Task ID 1106 | 0.5 |
Coordinate front-office activities of hotels or motels, and resolve problems.O*NET Task ID 1107 | 0.5 |
Participate in financial activities, such as the setting of room rates, the establishment of budgets, and the allocation of funds to departments.O*NET Task ID 1108 | 0.5 |
Manage and maintain temporary or permanent lodging facilities.O*NET Task ID 1111 | 0.5 |
Observe and monitor staff performance to ensure efficient operations and adherence to facility's policies and procedures.O*NET Task ID 1112 | 0.5 |
Show, rent, or assign accommodations.O*NET Task ID 1114 | 0.5 |
Develop and implement policies and procedures for the operation of a department or establishment.O*NET Task ID 1115 | 0.5 |
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®, Eloundou et al. (2023): see full notices on the Credits page