供应链分析师
商业与金融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
0.157
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
0.46
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 24%。
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
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 |
|---|---|
Enter logistics-related data into databases.O*NET Task ID 15883 | 1.0 |
Write or revise standard operating procedures for logistics processes.O*NET Task ID 15891 | 1.0 |
Maintain logistics records in accordance with corporate policies.O*NET Task ID 15899 | 1.0 |
Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs.O*NET Task ID 20014 | 1.0 |
Identify opportunities for inventory reductions.O*NET Task ID 15881 | 0.5 |
Monitor industry standards, trends, or practices to identify developments in logistics planning or execution.O*NET Task ID 15882 | 0.5 |
Develop or maintain payment systems to ensure accuracy of vendor payments.O*NET Task ID 15884 | 0.5 |
Determine packaging requirements.O*NET Task ID 15885 | 0.5 |
Develop or maintain freight rate databases for use by supply chain departments to determine the most economical modes of transportation.O*NET Task ID 15886 | 0.5 |
Contact potential vendors to determine material availability.O*NET Task ID 15887 | 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