編集者
芸術・デザイン・エンタメ・メディアAI露出度
- データ出典: BLS公表時点: '26.08
非常に高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: '26.03
0.246
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: '25
0.54
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは13%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
非表示の作業 10 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare, rewrite and edit copy to improve readability, or supervise others who do this work.27-3041 | 1.410787.1 | 0.464776.8 |
Read, evaluate and edit manuscripts or other materials submitted for publication and confer with authors regarding changes in content, style or organization, or publication.27-3041 | 0.12867.9 | 0.114318.9 |
Review and approve proofs submitted by composing room prior to publication production.27-3041 | 0.05003.1 | 0.00460.8 |
Develop story or content ideas, considering reader or audience appeal.27-3041 | 0.01190.7 | 0.00190.3 |
Make manuscript acceptance or revision recommendations to the publisher.27-3041 | 0.00810.5 | 0.01091.8 |
Read material to determine index items and arrange them alphabetically or topically, indicating page or chapter location.27-3041 | 0.00280.2 | 0.00671.1 |
Verify facts, dates, and statistics, using standard reference sources.27-3041 | 0.00260.2 | —0 |
Allocate print space for story text, photos, and illustrations according to space parameters and copy significance, using knowledge of layout principles.27-3041 | 0.00250.2 | —0 |
Oversee publication production, including artwork, layout, computer typesetting, and printing, ensuring adherence to deadlines and budget requirements.27-3041 | 0.00220.1 | —0 |
Plan the contents of publications according to the publication's style, editorial policy, and publishing requirements. | —0 | 0.00200.3 |
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, 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
この職業に関わる最近の変化
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.
[出典: 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.
[出典: Stevens (2026) arXiv]2026年3月: Published evergreen blog post analyzing AI impact on editors: 65% exposure, 52% automation risk.
[出典: AI Changing Work Blog]