フローリスト
食品調理・サービス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
0.14
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95%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 |
|---|---|
Inform customers about the care, maintenance, and handling of various flowers and foliage, indoor plants, and other items.O*NET Task ID 1727 | 1.0 |
Select flora and foliage for arrangements, working with numerous combinations to synthesize and develop new creations.O*NET Task ID 1722 | 0.5 |
Order and purchase flowers and supplies from wholesalers and growers.O*NET Task ID 1723 | 0.5 |
Perform office and retail service duties, such as keeping financial records, serving customers, answering telephones, selling giftware items, and receiving payment.O*NET Task ID 1726 | 0.5 |
Create and change in-store and window displays, designs, and looks to enhance a shop's image.O*NET Task ID 1731 | 0.5 |
Confer with clients regarding price and type of arrangement desired and the date, time, and place of delivery.O*NET Task ID 1719 | 0.0 |
Plan arrangement according to client's requirements, using knowledge of design and properties of materials, or select appropriate standard design pattern.O*NET Task ID 1720 | 0.0 |
Water plants, and cut, condition, and clean flowers and foliage for storage.O*NET Task ID 1721 | 0.0 |
Wrap and price completed arrangements.O*NET Task ID 1724 | 0.0 |
Trim material and arrange bouquets, wreaths, terrariums, and other items, using trimmers, shapers, wire, pins, floral tape, foam, and other materials.O*NET Task ID 1725 | 0.0 |
Decorate, or supervise the decoration of, buildings, halls, churches, or other facilities for parties, weddings and other occasions.O*NET Task ID 1728 | 0.0 |
Perform general cleaning duties in the store to ensure the shop is clean and tidy.O*NET Task ID 1729 | 0.0 |
Unpack stock as it comes into the shop.O*NET Task ID 1730 | 0.0 |
Conduct classes or demonstrations, or train other workers.O*NET Task ID 1732 | 0.0 |
Grow flowers for use in arrangements or for sale in shop.O*NET Task ID 1733 | 0.0 |
Deliver arrangements to customers, or oversee employees responsible for deliveries.O*NET Task ID 20751 | 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