インフルエンサーマーケティングマネージャー
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
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
0.173
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
0.39
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。
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 21 件を表示| Task | Claude.aiRaw / share % |
|---|---|
Plan and prepare advertising and promotional material to increase sales of products or services, working with customers, company officials, sales departments, and advertising agencies.11-2011 | 0.083027.6 |
Monitor and analyze sales promotion results to determine cost effectiveness of promotion campaigns.11-2011 | 0.057719.2 |
Develop communications materials, advertisements, presentations, or public relations initiatives to promote awareness of green products and technologies.11-2011 | 0.031410.4 |
Analyze the effectiveness of marketing tactics or channels.11-2011 | 0.02859.5 |
Devise or evaluate methods and procedures for collecting data, such as surveys, opinion polls, and questionnaires.11-2011 | 0.02066.8 |
Gather and organize information to plan advertising campaigns.11-2011 | 0.01153.8 |
Inspect layouts and advertising copy and edit scripts, audio and video tapes, and other promotional material for adherence to specifications.11-2011 | 0.01023.4 |
Plan and execute advertising policies and strategies for organizations.11-2011 | 0.00943.1 |
Analyze regional energy markets, including energy pricing, market structures, energy generation competition, and energy transmission constraints.11-2011 | 0.00892.9 |
Revise existing marketing plans or campaigns for green products, technologies, or services.11-2011 | 0.00692.3 |
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 |
|---|---|
Prepare budgets and submit estimates for program costs as part of campaign plan development.O*NET Task ID 3223 | 0.5 |
Plan and prepare advertising and promotional material to increase sales of products or services, working with customers, company officials, sales departments, and advertising agencies.O*NET Task ID 3224 | 0.5 |
Inspect layouts and advertising copy, and edit scripts, audio, video, and other promotional material for adherence to specifications.O*NET Task ID 3226 | 0.5 |
Coordinate activities of departments, such as sales, graphic arts, media, finance, and research.O*NET Task ID 3227 | 0.5 |
Prepare and negotiate advertising and sales contracts.O*NET Task ID 3228 | 0.5 |
Identify and develop contacts for promotional campaigns and industry programs that meet identified buyer targets, such as dealers, distributors, or consumers.O*NET Task ID 3229 | 0.5 |
Confer with department heads or staff to discuss topics such as contracts, selection of advertising media, or product to be advertised.O*NET Task ID 3231 | 0.5 |
Monitor and analyze sales promotion results to determine cost effectiveness of promotion campaigns.O*NET Task ID 3233 | 0.5 |
Read trade journals and professional literature to stay informed on trends, innovations, and changes that affect media planning.O*NET Task ID 3234 | 0.5 |
Formulate plans to extend business with established accounts and to transact business as agent for advertising accounts.O*NET Task ID 3235 | 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