小売バイヤー
営業・マーケティング米国 · BLS 雇用見通し 2025–35：この SOC コードは公表項目に含まれていません。
AI露出度
- データ出典: ILO公表時点: 2025
0.39
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44%です。
- データ出典: OpenAI公表時点: 2023
0.400
0.000ここに掲載された値の範囲0.844尺度・母数・出典
Task-level exposure
非表示の作業 17 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Recommend mark-up rates, mark-down rates, or merchandise selling prices.13-1022 | 0.040050.0 | 0.00000.0 |
Determine which products should be featured in advertising, the advertising medium to be used, or when the ads should be run.13-1022 | 0.030037.5 | —0 |
Monitor and analyze sales records, trends, or economic conditions to anticipate consumer buying patterns, company sales, and needed inventory.13-1022 | 0.010012.5 | 0.0100100.0 |
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 |
|---|---|
Provide clerks with information to print on price tags, such as price, mark-ups or mark-downs, manufacturer number, season code, or style number.O*NET Task ID 77 | 1.0 |
Monitor and analyze sales records, trends, or economic conditions to anticipate consumer buying patterns, company sales, and needed inventory.O*NET Task ID 66 | 0.5 |
Authorize payment of invoices or return of merchandise.O*NET Task ID 68 | 0.5 |
Consult with store or merchandise managers about budgets or goods to be purchased.O*NET Task ID 72 | 0.5 |
Determine which products should be featured in advertising, the advertising medium to be used, or when the ads should be run.O*NET Task ID 78 | 0.5 |
Monitor competitors' sales activities by following their advertisements in newspapers or other media.O*NET Task ID 79 | 0.5 |
Analyze environmental aspects of competing merchandise when making buying decisions.O*NET Task ID 19547 | 0.5 |
Compare transportation options to determine the most energy-efficient options.O*NET Task ID 19548 | 0.5 |
Develop strategies to advertise green products or merchandise to consumers.O*NET Task ID 19549 | 0.5 |
Identify opportunities to buy green commodities, such as alternative energy, water, or carbon-neutral products for resale to consumers.O*NET Task ID 19550 | 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