礼宾员
食品准备与服务AI暴露度
- 数据来源: BLS发布时间: 2026-08
很高· 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
0.188
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
0.51
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 17%。
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
| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Book airline or train tickets, reserve rental cars, or arrange shuttle service for guests.39-6012 | 0.00000.0 | 0.00000.0 |
Provide information about local features, such as shopping, dining, nightlife, or recreational destinations.39-6012 | 0.00000.0 | —0 |
Provide directions to guests.39-6012 | 0.00000.0 | —0 |
Make reservations for patrons, such as for dinner, spa treatments, or golf tee times, and obtain tickets to special events. | —0 | 0.00000.0 |
| Not observed on any surface — 14 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. | ||
Make travel arrangements for sightseeing or other tours. | —0 | —0 |
Receive, store, or deliver luggage or mail. | —0 | —0 |
Perform office duties on a temporary basis when needed. | —0 | —0 |
Pick up and deliver items or run errands for guests. | —0 | —0 |
Carry out unusual requests, such as searching for hard-to-find items or arranging for exotic services, such as hot-air balloon rides. | —0 | —0 |
Arrange for the replacement of items lost by travelers. | —0 | —0 |
Arrange for interpreters or translators when patrons require such services. | —0 | —0 |
Provide business services for guests, such as sending or receiving faxes or shipping packages. | —0 | —0 |
Plan special events, parties, or meetings, which may include booking musicians or celebrities. | —0 | —0 |
Arrange childcare services for guests. | —0 | —0 |
Order flowers for guests. | —0 | —0 |
Assist guests with special needs by providing equipment such as wheelchairs. | —0 | —0 |
Clean and tidy hotel lounge. | —0 | —0 |
Provide food and beverage services to guests. | —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 |
|---|---|
Perform office duties on a temporary basis when needed.O*NET Task ID 4532 | 1.0 |
Arrange for interpreters or translators when patrons require such services.O*NET Task ID 4536 | 1.0 |
Provide information about local features, such as shopping, dining, nightlife, or recreational destinations.O*NET Task ID 4529 | 0.5 |
Make travel arrangements for sightseeing or other tours.O*NET Task ID 4530 | 0.5 |
Carry out unusual requests, such as searching for hard-to-find items or arranging for exotic services, such as hot-air balloon rides.O*NET Task ID 4534 | 0.5 |
Arrange for the replacement of items lost by travelers.O*NET Task ID 4535 | 0.5 |
Make reservations for patrons, such as for dinner, spa treatments, or golf tee times, and obtain tickets to special events.O*NET Task ID 20259 | 0.5 |
Provide directions to guests.O*NET Task ID 20260 | 0.5 |
Provide business services for guests, such as sending or receiving faxes or shipping packages.O*NET Task ID 20261 | 0.5 |
Plan special events, parties, or meetings, which may include booking musicians or celebrities.O*NET Task ID 20262 | 0.5 |
Receive, store, or deliver luggage or mail.O*NET Task ID 4531 | 0.0 |
Pick up and deliver items or run errands for guests.O*NET Task ID 4533 | 0.0 |
Clean and tidy hotel lounge.O*NET Task ID 20264 | 0.0 |
Provide food and beverage services to guests.O*NET Task ID 20265 | 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