邮政局长和邮件管理员
管理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
0.000
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
0.42
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 33%。
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 11 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Resolve customer complaints.11-9131 | 0.0034100.0 | 0.0130100.0 |
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 |
|---|---|
Prepare and submit detailed and summary reports of post office activities to designated supervisors.O*NET Task ID 5265 | 1.0 |
Inform the public of available services, and of postal laws and regulations.O*NET Task ID 5269 | 1.0 |
Organize and supervise activities, such as the processing of incoming and outgoing mail.O*NET Task ID 5260 | 0.5 |
Direct and coordinate operational, management, and supportive services of one or a number of postal facilities.O*NET Task ID 5261 | 0.5 |
Resolve customer complaints.O*NET Task ID 5262 | 0.5 |
Hire and train employees, and evaluate their performance.O*NET Task ID 5263 | 0.5 |
Prepare employee work schedules.O*NET Task ID 5264 | 0.5 |
Negotiate labor disputes.O*NET Task ID 5266 | 0.5 |
Select and train postmasters and managers of associate postal units.O*NET Task ID 5270 | 0.5 |
Confer with suppliers to obtain bids for proposed purchases and to requisition supplies, disbursing funds according to federal regulations.O*NET Task ID 5271 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page