商品ディスプレイ・ウインドウトリマー

営業・マーケティング

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

    出典データセット(XLSX ファイルのダウンロード)

  • 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

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    出典データセット

  • 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。

    出典データセット

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.

TaskβE1 + 0.5 × E2
Take photographs of displays or signage.

O*NET Task ID 9262

0.5
Plan commercial displays to entice and appeal to customers.

O*NET Task ID 9263

0.5
Change or rotate window displays, interior display areas, or signage to reflect changes in inventory or promotion.

O*NET Task ID 9265

0.5
Obtain plans from display designers or display managers and discuss their implementation with clients or supervisors.

O*NET Task ID 9266

0.5
Develop ideas or plans for merchandise displays or window decorations.

O*NET Task ID 9267

0.5
Consult with advertising or sales staff to determine type of merchandise to be featured and time and place for each display.

O*NET Task ID 9268

0.5
Arrange properties, furniture, merchandise, backdrops, or other accessories, as shown in prepared sketches.

O*NET Task ID 9269

0.5
Use computers to produce signage.

O*NET Task ID 9272

0.5
Select themes, lighting, colors, or props to be used.

O*NET Task ID 9275

0.5
Attend training sessions or corporate planning meetings to obtain new ideas for product launches.

O*NET Task ID 9276

0.5
Place prices or descriptive signs on backdrops, fixtures, merchandise, or floor.

O*NET Task ID 9264

0.0
Construct or assemble displays or display components from fabric, glass, paper, or plastic, using hand tools or woodworking power tools, according to specifications.

O*NET Task ID 9270

0.0
Collaborate with others to obtain products or other display items.

O*NET Task ID 9271

0.0
Dress mannequins for displays.

O*NET Task ID 9273

0.0
Cut out designs on cardboard, hardboard, or plywood, according to motif of event.

O*NET Task ID 9280

0.0
Install booths, exhibits, displays, carpets, or drapes, as guided by floor plan of building or specifications.

O*NET Task ID 9281

0.0
Install decorations, such as flags, banners, festive lights, or bunting on or in building, street, exhibit hall, or booth.

O*NET Task ID 9282

0.0
Create or enhance mannequin faces by mixing and applying paint or attaching measured eyelash strips, using artist's brush, airbrush, pins, ruler, or scissors.

O*NET Task ID 9283

0.0
Maintain props, products, or mannequins, inspecting them for imperfections, doing touch-ups, cleaning up after customers, or applying preservative coatings as necessary.

O*NET Task ID 20753

0.0
Supervise or train staff members on daily tasks, such as visual merchandising.

O*NET Task ID 20755

0.0
Store, pack, and maintain inventory records of props, products, or display items.

O*NET Task ID 20756

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

職業情報