ファンドレイザー
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
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
0.047
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
0.43
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30%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 14 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds.13-1131 | 0.018022.2 | 0.002311.7 |
Compile or develop materials to submit to granting or other funding organizations.13-1131 | 0.014618.0 | —0 |
Prepare materials for charitable events, such as fundraising envelopes, bid sheets, or gift bags.13-1131 | 0.009712.0 | —0 |
Write reports or prepare presentations to communicate fundraising program data.13-1131 | 0.008110.0 | 0.00189.2 |
Identify and build relationships with potential donors.13-1131 | 0.00698.5 | —0 |
Solicit cash or in-kind donations or sponsorships from individual, business, or government donors.13-1131 | 0.00465.7 | —0 |
Conduct research to identify the goals, net worth, history of charitable donations, or other data related to potential donors, potential investors, or general donor markets.13-1131 | 0.00445.4 | 0.007538.3 |
Develop strategies to encourage new or increased contributions.13-1131 | 0.00404.9 | —0 |
Write and send letters of thanks to donors.13-1131 | 0.00283.5 | —0 |
Develop fundraising activity plans that maximize participation or contributions and minimize costs.13-1131 | 0.00273.3 | —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 |
|---|---|
Explain the tax advantages of contributions to potential donors.O*NET Task ID 18916 | 1.0 |
Write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds.O*NET Task ID 18924 | 1.0 |
Write and send letters of thanks to donors.O*NET Task ID 18931 | 1.0 |
Write reports or prepare presentations to communicate fundraising program data.O*NET Task ID 18932 | 1.0 |
Contact corporate representatives, government officials, or community leaders to increase awareness of organizational causes, activities, or needs.O*NET Task ID 18906 | 0.5 |
Create or update donor databases.O*NET Task ID 18907 | 0.5 |
Design or produce materials such as posters, Web sites, or newsletters to promote, market, or advertise fundraising events.O*NET Task ID 18908 | 0.5 |
Develop corporate fundraising programs, such as employer gift-matching.O*NET Task ID 18909 | 0.5 |
Develop fundraising activity plans that maximize participation or contributions and minimize costs.O*NET Task ID 18910 | 0.5 |
Develop or implement fundraising activities, such as annual giving campaigns or direct mail programs.O*NET Task ID 18911 | 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