デジタルイラストレーター
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
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
0.356
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
0.21
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82%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 18 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Create finished art work as decoration, or to elucidate or substitute for spoken or written messages.27-1013 | 0.143051.4 | 0.089550.4 |
Integrate and develop visual elements, such as line, space, mass, color, and perspective, to produce desired effects, such as the illustration of ideas, emotions, or moods.27-1013 | 0.064423.2 | 0.037521.1 |
Use materials such as pens and ink, watercolors, charcoal, oil, or computer software to create artwork.27-1013 | 0.045416.3 | 0.026014.7 |
Monitor events, trends, and other circumstances, research specific subject areas, attend art exhibitions, and read art publications to develop ideas and keep current on art world activities.27-1013 | 0.01936.9 | 0.01558.7 |
Create sketches, profiles, or likenesses of posed subjects or photographs, using any combination of freehand drawing, mechanical assembly kits, and computer imaging.27-1013 | 0.00361.3 | —0 |
Confer with clients, editors, writers, art directors, and other interested parties regarding the nature and content of artwork to be produced.27-1013 | 0.00230.8 | 0.00382.1 |
Create sculptures, statues, and other three-dimensional artwork by using abrasives and tools to shape, carve, and fabricate materials such as clay, stone, wood, or metal. | —0 | 0.00352.0 |
Maintain portfolios of artistic work to demonstrate styles, interests, and abilities. | —0 | 0.00191.1 |
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 |
|---|---|
Use materials such as pens and ink, watercolors, charcoal, oil, or computer software to create artwork.O*NET Task ID 10989 | 0.5 |
Integrate and develop visual elements, such as line, space, mass, color, and perspective, to produce desired effects, such as the illustration of ideas, emotions, or moods.O*NET Task ID 10990 | 0.5 |
Confer with clients, editors, writers, art directors, and other interested parties regarding the nature and content of artwork to be produced.O*NET Task ID 10991 | 0.5 |
Submit preliminary or finished artwork or project plans to clients for approval, incorporating changes as necessary.O*NET Task ID 10992 | 0.5 |
Maintain portfolios of artistic work to demonstrate styles, interests, and abilities.O*NET Task ID 10993 | 0.5 |
Create finished art work as decoration, or to elucidate or substitute for spoken or written messages.O*NET Task ID 10994 | 0.5 |
Monitor events, trends, and other circumstances, research specific subject areas, attend art exhibitions, and read art publications to develop ideas and keep current on art world activities.O*NET Task ID 10996 | 0.5 |
Study different techniques to learn how to apply them to artistic endeavors.O*NET Task ID 10997 | 0.5 |
Render drawings, illustrations, and sketches of buildings, manufactured products, or models, working from sketches, blueprints, memory, models, or reference materials.O*NET Task ID 10998 | 0.5 |
Create sketches, profiles, or likenesses of posed subjects or photographs, using any combination of freehand drawing, mechanical assembly kits, and computer imaging.O*NET Task ID 10999 | 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