财务经理
管理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
0.391
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 1 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 |
|---|---|
Establish and maintain relationships with individual or business customers or provide assistance with problems these customers may encounter.O*NET Task ID 21311 | 0.5 |
Plan, direct, or coordinate the activities of workers in branches, offices, or departments of establishments, such as branch banks, brokerage firms, risk and insurance departments, or credit departments.O*NET Task ID 21312 | 0.5 |
Recruit staff members.O*NET Task ID 21313 | 0.5 |
Prepare operational or risk reports for management analysis.O*NET Task ID 21314 | 0.5 |
Evaluate data pertaining to costs to plan budgets.O*NET Task ID 21315 | 0.5 |
Oversee training programs.O*NET Task ID 21316 | 0.5 |
Examine, evaluate, or process loan applications.O*NET Task ID 21317 | 0.5 |
Approve, reject, or coordinate the approval or rejection of lines of credit or commercial, real estate, or personal loans.O*NET Task ID 21318 | 0.5 |
Oversee the flow of cash or financial instruments.O*NET Task ID 21319 | 0.5 |
Prepare financial or regulatory reports required by laws, regulations, or boards of directors.O*NET Task ID 21320 | 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