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办公与行政支持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
0.192
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
0.64
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 1%。
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 4 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 |
|---|---|
Post stop-payment notices to prevent payment of protested checks.O*NET Task ID 23237 | 1.0 |
Verify accuracy of billing data and revise any errors.O*NET Task ID 23238 | 1.0 |
Prepare itemized statements, bills, or invoices and record amounts due for items purchased or services rendered.O*NET Task ID 23240 | 1.0 |
Perform bookkeeping work, including posting data or keeping other records concerning costs of goods or services or the shipment of goods.O*NET Task ID 23241 | 1.0 |
Operate typing, adding, calculating, or billing machines.O*NET Task ID 23242 | 1.0 |
Resolve discrepancies in accounting records.O*NET Task ID 23243 | 1.0 |
Review documents, such as purchase orders, sales tickets, charge slips, or hospital records, to compute fees or charges due.O*NET Task ID 23245 | 1.0 |
Keep records of invoices and support documents.O*NET Task ID 23246 | 1.0 |
Route statements for mailing or over-the-counter delivery to customers.O*NET Task ID 23247 | 1.0 |
Compare previously prepared bank statements with canceled checks and reconcile discrepancies.O*NET Task ID 23251 | 1.0 |
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