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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

    来源数据集(XLSX 文件下载)

  • 数据来源: Anthropic发布时间: 2026-03

    0.037

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: 2025

    0.23

    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 80%。

    来源数据集

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 81 项工作
TaskClaude.aiRaw / share %
Examine immigration applications, visas, and passports and interview persons to determine eligibility for admission, residence, and travel in the U.S.

33-3021

0.060833.6
Prepare comprehensive written reports, presentations, maps, or charts based on research, collection, and analysis of intelligence data.

33-3021

0.031717.5
Validate known intelligence with data from other sources.

33-3021

0.01719.4
Gather intelligence information by field observation, confidential information sources, or public records.

33-3021

0.01287.1
Analyze completed police reports to determine what additional information and investigative work is needed.

33-3021

0.01035.7
Manage security programs designed to protect personnel, facilities, and information.

33-3021

0.00995.5
Study the assets of criminal suspects to determine the flow of money from or to targeted groups.

33-3021

0.00633.5
Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools.

33-3021

0.00593.2
Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases.

33-3021

0.00502.7
Predict future gang, organized crime, or terrorist activity, using analyses of intelligence data.

33-3021

0.00462.5

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

职业信息