メイクアップアーティスト
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
中程度· 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
0.000
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
0.18
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90%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
露出のある作業のみ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 |
|---|---|
Study production information, such as character descriptions, period settings, and situations, to determine makeup requirements.O*NET Task ID 14814 | 1.0 |
Duplicate work precisely to replicate characters' appearances on a daily basis.O*NET Task ID 14798 | 0.5 |
Establish budgets, and work within budgetary limits.O*NET Task ID 14799 | 0.5 |
Apply makeup to enhance or alter the appearance of people appearing in productions such as movies.O*NET Task ID 14800 | 0.5 |
Alter or maintain makeup during productions as necessary to compensate for lighting changes or to achieve continuity of effect.O*NET Task ID 14801 | 0.5 |
Analyze a script, noting events that affect each character's appearance, so that plans can be made for each scene.O*NET Task ID 14805 | 0.5 |
Write makeup sheets and take photos to document specific looks and the products used to achieve the looks.O*NET Task ID 14807 | 0.5 |
Examine sketches, photographs, and plaster models to obtain desired character image depiction.O*NET Task ID 14808 | 0.5 |
Attach prostheses to performers and apply makeup to create special features or effects, such as scars, aging, or illness.O*NET Task ID 14809 | 0.5 |
Evaluate environmental characteristics, such as venue size and lighting plans, to determine makeup requirements.O*NET Task ID 14810 | 0.5 |
Confer with stage or motion picture officials and performers to determine desired effects.O*NET Task ID 14797 | 0.0 |
Select desired makeup shades from stock, or mix oil, grease, and coloring to achieve specific color effects.O*NET Task ID 14802 | 0.0 |
Cleanse and tone the skin to prepare it for makeup application.O*NET Task ID 14803 | 0.0 |
Assess performers' skin type to ensure that makeup will not cause break-outs or skin irritations.O*NET Task ID 14804 | 0.0 |
Requisition or acquire needed materials for special effects, including wigs, beards, and special cosmetics.O*NET Task ID 14806 | 0.0 |
Provide performers with makeup removal assistance after performances have been completed.O*NET Task ID 14815 | 0.0 |
Wash and reset wigs.O*NET Task ID 14816 | 0.0 |
Demonstrate products to clients, and provide instruction in makeup application.O*NET Task ID 14817 | 0.0 |
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®, Eloundou et al. (2023): see full notices on the Credits page