校正者
事務・管理サポートAI露出度
- データ出典: BLS公表時点: 2026-08
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: 2026-03
0.178
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: 2025
0.51
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17%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 8 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Archive documents, conduct research, and read copy, using the internet and various computer programs.43-9081 | 0.280070.0 | 0.270071.1 |
Correct or record omissions, errors, or inconsistencies found.43-9081 | 0.110027.5 | 0.090023.7 |
Compare information or figures on one record against same data on other records, or with original copy, to detect errors.43-9081 | 0.01002.5 | 0.02005.3 |
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 |
|---|---|
Correct or record omissions, errors, or inconsistencies found.O*NET Task ID 5158 | 1.0 |
Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.O*NET Task ID 5159 | 1.0 |
Read corrected copies or proofs to ensure that all corrections have been made.O*NET Task ID 5160 | 1.0 |
Compare information or figures on one record against same data on other records, or with original copy, to detect errors.O*NET Task ID 5161 | 1.0 |
Consult reference books or secure aid of readers to check references with rules of grammar and composition.O*NET Task ID 5162 | 1.0 |
Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.O*NET Task ID 5163 | 1.0 |
Read proof sheets aloud, calling out punctuation marks and spelling unusual words and proper names.O*NET Task ID 5165 | 1.0 |
Consult with authors and editors regarding manuscript changes and suggestions.O*NET Task ID 20907 | 1.0 |
Archive documents, conduct research, and read copy, using the internet and various computer programs.O*NET Task ID 20908 | 1.0 |
Write original content, such as headlines, cutlines, captions, and cover copy.O*NET Task ID 20909 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
職業情報
この職業に関わる最近の変化
2025年7月: Brookings (Hui & Reshef, Jul 2025): freelancers offering copyediting, proofreading and other text-heavy services saw about 2% fewer new monthly contracts and 5% lower earnings after ChatGPT, and experienced, higher-rated freelancers lost more than junior ones, a result the authors call counterintuitive.
[出典: Brookings Institution (Hui & Reshef, 2025)]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.