プロダクションデザイナー
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
0.000
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
0.37
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53%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 |
|---|---|
Examine objects to be included in exhibits to plan where and how to display them.O*NET Task ID 9284 | 0.5 |
Acquire, or arrange for acquisition of, specimens or graphics required to complete exhibits.O*NET Task ID 9285 | 0.5 |
Prepare rough drafts and scale working drawings of sets, including floor plans, scenery, and properties to be constructed.O*NET Task ID 9286 | 0.5 |
Estimate set- or exhibit-related costs, including materials, construction, and rental of props or locations.O*NET Task ID 9288 | 0.5 |
Develop set designs, based on evaluation of scripts, budgets, research information, and available locations.O*NET Task ID 9289 | 0.5 |
Direct and coordinate construction, erection, or decoration activities to ensure that sets or exhibits meet design, budget, and schedule requirements.O*NET Task ID 9290 | 0.5 |
Plan for location-specific issues, such as space limitations, traffic flow patterns, and safety concerns.O*NET Task ID 9292 | 0.5 |
Submit plans for approval, and adapt plans to serve intended purposes, or to conform to budget or fabrication restrictions.O*NET Task ID 9293 | 0.5 |
Prepare preliminary renderings of proposed exhibits, including detailed construction, layout, and material specifications, and diagrams relating to aspects such as special effects or lighting.O*NET Task ID 9294 | 0.5 |
Collaborate with those in charge of lighting and sound so that those production aspects can be coordinated with set designs or exhibit layouts.O*NET Task ID 9296 | 0.5 |
Confer with clients and staff to gather information about exhibit space, proposed themes and content, timelines, budgets, materials, or promotion requirements.O*NET Task ID 9287 | 0.0 |
Inspect installed exhibits for conformance to specifications and satisfactory operation of special-effects components.O*NET Task ID 9291 | 0.0 |
Select and purchase lumber and hardware necessary for set construction.O*NET Task ID 9295 | 0.0 |
Coordinate the removal of sets, props, and exhibits after productions or events are complete.O*NET Task ID 9299 | 0.0 |
Attend rehearsals and production meetings to obtain and share information related to sets.O*NET Task ID 9306 | 0.0 |
Arrange for outside contractors to construct exhibit structures.O*NET Task ID 9307 | 0.0 |
Coordinate the transportation of sets that are built off-site, and coordinate their setup at the site of use.O*NET Task ID 9310 | 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