媒体采购总监
销售与市场营销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
0.173
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
0.39
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 44%。
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 23 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Plan and prepare advertising and promotional material to increase sales of products or services, working with customers, company officials, sales departments, and advertising agencies.11-2011 | 0.277163.4 | 0.111431.3 |
Monitor and analyze sales promotion results to determine cost effectiveness of promotion campaigns.11-2011 | 0.077417.7 | 0.090325.4 |
Gather and organize information to plan advertising campaigns.11-2011 | 0.01804.1 | 0.051214.4 |
Inspect layouts and advertising copy and edit scripts, audio and video tapes, and other promotional material for adherence to specifications.11-2011 | 0.01212.8 | 0.038810.9 |
Represent company at trade association meetings to promote products.11-2011 | 0.00841.9 | 0.01363.8 |
Devise or evaluate methods and procedures for collecting data, such as surveys, opinion polls, and questionnaires.11-2011 | 0.00821.9 | 0.00451.3 |
Develop communications materials, advertisements, presentations, or public relations initiatives to promote awareness of green products and technologies.11-2011 | 0.00771.8 | 0.00260.7 |
Confer with clients to provide marketing or technical advice.11-2011 | 0.00661.5 | 0.00330.9 |
Track program budgets and expenses and campaign response rates to evaluate each campaign based on program objectives and industry norms.11-2011 | 0.00651.5 | 0.01163.3 |
Plan and execute advertising policies and strategies for organizations.11-2011 | 0.00551.3 | 0.00190.5 |
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 budgets and submit estimates for program costs as part of campaign plan development.O*NET Task ID 3223 | 0.5 |
Plan and prepare advertising and promotional material to increase sales of products or services, working with customers, company officials, sales departments, and advertising agencies.O*NET Task ID 3224 | 0.5 |
Inspect layouts and advertising copy, and edit scripts, audio, video, and other promotional material for adherence to specifications.O*NET Task ID 3226 | 0.5 |
Coordinate activities of departments, such as sales, graphic arts, media, finance, and research.O*NET Task ID 3227 | 0.5 |
Prepare and negotiate advertising and sales contracts.O*NET Task ID 3228 | 0.5 |
Identify and develop contacts for promotional campaigns and industry programs that meet identified buyer targets, such as dealers, distributors, or consumers.O*NET Task ID 3229 | 0.5 |
Confer with department heads or staff to discuss topics such as contracts, selection of advertising media, or product to be advertised.O*NET Task ID 3231 | 0.5 |
Monitor and analyze sales promotion results to determine cost effectiveness of promotion campaigns.O*NET Task ID 3233 | 0.5 |
Read trade journals and professional literature to stay informed on trends, innovations, and changes that affect media planning.O*NET Task ID 3234 | 0.5 |
Formulate plans to extend business with established accounts and to transact business as agent for advertising accounts.O*NET Task ID 3235 | 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