促销销售代表
销售与市场营销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
- 数据来源: Anthropic发布时间: 2026-03
0.079
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
0.42
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 33%。
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 15 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Suggest specific product purchases to meet customers' needs.41-9011 | 0.490057.0 | 0.070043.8 |
Prepare or alter presentation contents to target specific audiences.41-9011 | 0.350040.7 | 0.060037.5 |
Recommend product or service improvements to employers.41-9011 | 0.01001.2 | 0.00000.0 |
Instruct customers in alteration of products.41-9011 | 0.01001.2 | —0 |
Identify interested and qualified customers to provide them with additional information.41-9011 | 0.00000.0 | 0.020012.5 |
Demonstrate or explain products, methods, or services to persuade customers to purchase products or use services.41-9011 | 0.00000.0 | 0.01006.3 |
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 or alter presentation contents to target specific audiences.O*NET Task ID 13200 | 1.0 |
Write articles or pamphlets about products.O*NET Task ID 13213 | 1.0 |
Learn about competitors' products or consumers' interests or concerns to answer questions or provide more complete information.O*NET Task ID 13201 | 0.5 |
Research or investigate products to be presented to prepare for demonstrations.O*NET Task ID 13206 | 0.5 |
Recommend product or service improvements to employers.O*NET Task ID 13207 | 0.5 |
Develop lists of prospective clients from sources such as newspaper items, company records, local merchants, or customers.O*NET Task ID 13212 | 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