量化分析师
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
0.461
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
0.44
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 28%。
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 31 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare appropriate formatting to data sets as requested.15-2041 | 0.066713.2 | 0.439434.9 |
Evaluate sources of information to determine any limitations in terms of reliability or usability.15-2041 | 0.063412.5 | 0.130110.3 |
Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.15-2041 | 0.04488.9 | 0.315625.0 |
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.15-2041 | 0.03717.3 | 0.00880.7 |
Report results of statistical analyses, including information in the form of graphs, charts, and tables.15-2041 | 0.03396.7 | 0.02161.7 |
Prepare articles for publication or presentation at professional conferences.15-2041 | 0.02995.9 | 0.00620.5 |
Prepare data analysis listings and activity, performance, or progress reports.15-2041 | 0.02434.8 | 0.10078.0 |
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.15-2041 | 0.02114.2 | 0.01851.5 |
Write program code to analyze data using statistical analysis software.15-2041 | 0.02054.1 | 0.05664.5 |
Develop and test experimental designs, sampling techniques, and analytical methods.15-2041 | 0.01713.4 | 0.00630.5 |
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 appropriate formatting to data sets as requested.O*NET Task ID 16268 | 1.0 |
Develop technical specifications for data management programming and communicate needs to information technology staff.O*NET Task ID 16270 | 1.0 |
Develop or select specific software programs for various research scenarios.O*NET Task ID 16271 | 1.0 |
Write work instruction manuals, data capture guidelines, or standard operating procedures.O*NET Task ID 16273 | 1.0 |
Design and validate clinical databases, including designing or testing logic checks.O*NET Task ID 16281 | 1.0 |
Design forms for receiving, processing, or tracking data.O*NET Task ID 16286 | 1.0 |
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.O*NET Task ID 16266 | 0.5 |
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.O*NET Task ID 16267 | 0.5 |
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.O*NET Task ID 16269 | 0.5 |
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.O*NET Task ID 16272 | 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