脚本家
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: 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
0.246
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: 2025
0.55
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12%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 7 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Develop factors such as themes, plots, characterizations, psychological analyses, historical environments, action, and dialogue, to create material.27-3043 | 0.784334.7 | 0.355948.6 |
Write advertising copy for use by publication, broadcast, or internet media to promote the sale of goods and services.27-3043 | 0.601526.6 | 0.252434.5 |
Edit or rewrite existing copy as necessary, and submit copy for approval by supervisor.27-3043 | 0.523223.2 | 0.03424.7 |
Write narrative, dramatic, lyric, or other types of poetry for publication.27-3043 | 0.09464.2 | 0.02002.7 |
Write humorous material for publication, or for performances such as comedy routines, gags, and comedy shows.27-3043 | 0.08183.6 | 0.02273.1 |
Write articles, bulletins, sales letters, speeches, and other related informative, marketing and promotional material.27-3043 | 0.07863.5 | 0.02042.8 |
Adapt text to accommodate musical requirements of composers and singers.27-3043 | 0.01860.8 | 0.00340.5 |
Invent names for products and write the slogans that appear on packaging, brochures and other promotional material.27-3043 | 0.01610.7 | 0.00230.3 |
Write words to fit musical compositions, including lyrics for operas, musical plays, and choral works.27-3043 | 0.01240.5 | 0.00210.3 |
Plan project arrangements or outlines, and organize material accordingly.27-3043 | 0.00790.3 | 0.00170.2 |
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 |
|---|---|
Discuss with the client the product, advertising themes and methods, and any changes that should be made in advertising copy.O*NET Task ID 22653 | 1.0 |
Present drafts and ideas to clients.O*NET Task ID 22654 | 1.0 |
Vary language and tone of messages based on product and medium.O*NET Task ID 22655 | 1.0 |
Write articles, bulletins, sales letters, speeches, and other related informative, marketing and promotional material.O*NET Task ID 22657 | 1.0 |
Invent names for products and write the slogans that appear on packaging, brochures and other promotional material.O*NET Task ID 22659 | 1.0 |
Collaborate with other writers on specific projects.O*NET Task ID 22661 | 1.0 |
Edit or rewrite existing written material as necessary, and submit written material for approval by supervisor, editor, or publisher.O*NET Task ID 22664 | 1.0 |
Follow appropriate procedures to get copyrights for completed work.O*NET Task ID 22665 | 1.0 |
Plan project arrangements or outlines, and organize material accordingly.O*NET Task ID 22666 | 1.0 |
Prepare works in appropriate format for publication, and send them to publishers or producers.O*NET Task ID 22667 | 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 in text-heavy services exposed to ChatGPT saw about 2% fewer new monthly contracts and a roughly 5% drop in monthly earnings, with experienced, higher-priced freelancers hit hardest.
[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.