编辑

艺术、设计、娱乐与媒体

AI暴露度

  • 数据来源: BLS发布时间: '26.08

    很高· 相对

    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: '26.03

    0.246

    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: '25

    0.54

    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 13%。

    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 1 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.

TaskβE1 + 0.5 × E2
Prepare, rewrite and edit copy to improve readability, or supervise others who do this work.

O*NET Task ID 1776

1.0
Read copy or proof to detect and correct errors in spelling, punctuation, and syntax.

O*NET Task ID 1777

1.0
Develop story or content ideas, considering reader or audience appeal.

O*NET Task ID 1782

1.0
Read, evaluate and edit manuscripts or other materials submitted for publication, and confer with authors regarding changes in content, style or organization, or publication.

O*NET Task ID 1786

1.0
Make manuscript acceptance or revision recommendations to the publisher.

O*NET Task ID 1790

1.0
Read material to determine index items and arrange them alphabetically or topically, indicating page or chapter location.

O*NET Task ID 1795

1.0
Write text, such as stories, articles, editorials, or newsletters.

O*NET Task ID 21000

1.0
Allocate print space for story text, photos, and illustrations according to space parameters and copy significance, using knowledge of layout principles.

O*NET Task ID 1778

0.5
Plan the contents of publications according to the publication's style, editorial policy, and publishing requirements.

O*NET Task ID 1779

0.5
Verify facts, dates, and statistics, using standard reference sources.

O*NET Task ID 1780

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information

与本职业相关的近期变化

2026年3月: Brookings research shows copyediting and proofreading freelancers face significant AI displacement — high-skilled editors hit harder than junior ones, reversing historical technology disruption patterns.

[来源: Brookings Institution (Hui & Reshef, 2025)]

2026年3月: Corporate expense data shows 97% cost saving when firms switch from human contractors to AI, reducing demand for contract editing work.

[来源: Stevens (2026) arXiv]

2026年3月: Published evergreen blog post analyzing AI impact on editors: 65% exposure, 52% automation risk.

[来源: AI Changing Work Blog]