合规官
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
0.121
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
0.43
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 30%。
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 103 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide information, technical assistance, or training to supervisors, managers, or employees on topics such as employee supervision, hiring, grievance procedures, or staff development.13-1041 | 0.024420.1 | 0.00725.4 |
Examine records, reports, or other documents to establish facts or detect discrepancies.13-1041 | 0.016713.8 | 0.061946.7 |
Prepare correspondence, reports of inspections or investigations or recommendations for action.13-1041 | 0.01139.3 | —0 |
Prepare reports of activities, evaluations, recommendations, or decisions.13-1041 | 0.01099.0 | 0.020115.2 |
Prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires.13-1041 | 0.00967.9 | 0.00433.2 |
Prepare correspondence to inform concerned parties of licensing decisions or appeals processes.13-1041 | 0.00786.4 | —0 |
Respond to questions and inquiries, such as those concerning service charges and capacity fees, or refer them to supervisors.13-1041 | 0.00715.8 | 0.00151.1 |
Interpret regulatory rules or rule changes and ensure that they are communicated through corporate policies and procedures.13-1041 | 0.00695.7 | 0.016212.2 |
Provide information concerning the circumstances of death to relatives of the deceased.13-1041 | 0.00594.9 | —0 |
Obtain and distribute updated information regarding domestic or international laws, guidelines, or standards.13-1041 | 0.00524.3 | 0.00282.1 |
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 |
|---|---|
Warn violators of infractions or penalties.O*NET Task ID 21446 | 1.0 |
Advise licensees or other individuals or groups concerning licensing, permit, or passport regulations.O*NET Task ID 21448 | 1.0 |
Prepare reports of activities, evaluations, recommendations, or decisions.O*NET Task ID 21449 | 1.0 |
Report law or regulation violations to appropriate boards or agencies.O*NET Task ID 21450 | 1.0 |
Score tests and observe equipment operation and control to rate ability of applicants.O*NET Task ID 21456 | 1.0 |
Prepare correspondence to inform concerned parties of licensing decisions or appeals processes.O*NET Task ID 21457 | 1.0 |
Evaluate applications, records, or documents to gather information about eligibility or liability issues.O*NET Task ID 21447 | 0.5 |
Confer with or interview officials, technical or professional specialists, or applicants to obtain information or to clarify facts relevant to licensing decisions.O*NET Task ID 21451 | 0.5 |
Issue licenses to individuals meeting standards.O*NET Task ID 21452 | 0.5 |
Collect fees for licenses.O*NET Task ID 21453 | 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