卸売・製造業営業担当
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
非常に高い· 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
0.628
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
0.49
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21%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 6 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer customers' questions about products, prices, availability, product uses, and credit terms.41-4012 | 0.178074.1 | 0.049333.3 |
Perform administrative duties, such as preparing sales budgets and reports, keeping sales records, and filing expense account reports.41-4012 | 0.01275.3 | 0.040027.0 |
Recommend products to customers, based on customers' needs and interests.41-4012 | 0.01084.5 | 0.00956.4 |
Identify prospective customers by using business directories, following leads from existing clients, participating in organizations and clubs, and attending trade shows and conferences.41-4012 | 0.01024.2 | —0 |
Monitor market conditions, product innovations, and competitors' products, prices, and sales.41-4012 | 0.00753.1 | 0.00946.4 |
Prepare sales contracts and order forms.41-4012 | 0.00602.5 | 0.00402.7 |
Contact regular and prospective customers to demonstrate products, explain product features, and solicit orders.41-4012 | 0.00361.5 | 0.017611.9 |
Estimate or quote prices, credit or contract terms, warranties, and delivery dates.41-4012 | 0.00261.1 | 0.00614.1 |
Negotiate details of contracts and payments.41-4012 | 0.00200.8 | —0 |
Consult with clients after sales or contract signings to resolve problems and to provide ongoing support.41-4012 | 0.00180.7 | 0.00634.3 |
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 |
|---|---|
Estimate or quote prices, credit or contract terms, warranties, and delivery dates.O*NET Task ID 8116 | 1.0 |
Perform administrative duties, such as preparing sales budgets and reports, keeping sales records, and filing expense account reports.O*NET Task ID 8124 | 1.0 |
Forward orders to manufacturers.O*NET Task ID 8126 | 1.0 |
Prepare sales contracts and order forms.O*NET Task ID 20267 | 1.0 |
Answer customers' questions about products, prices, availability, product uses, and credit terms.O*NET Task ID 8113 | 0.5 |
Recommend products to customers, based on customers' needs and interests.O*NET Task ID 8114 | 0.5 |
Contact regular and prospective customers to demonstrate products, explain product features, and solicit orders.O*NET Task ID 8115 | 0.5 |
Consult with clients after sales or contract signings to resolve problems and to provide ongoing support.O*NET Task ID 8117 | 0.5 |
Prepare drawings, estimates, and bids that meet specific customer needs.O*NET Task ID 8118 | 0.5 |
Provide customers with product samples and catalogs.O*NET Task ID 8119 | 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