債権回収アナリスト
ビジネス・金融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
0.234
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
0.60
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4%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 26 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Recommend strategies for clients to meet their financial goals, such as borrowing money through loans or loan programs, declaring bankruptcy, making budget adjustments, or enrolling in debt management plans.13-2071 | 0.110320.6 | 0.00797.1 |
Explain general financial topics to clients, such as credit report ratings, bankruptcy laws, consumer protection laws, wage attachments, or collection actions.13-2071 | 0.109720.4 | 0.00333.0 |
Counsel clients on personal and family financial problems, such as excessive spending or borrowing of funds.13-2071 | 0.066412.4 | 0.01099.8 |
Create debt management plans, spending plans, or budgets to assist clients to meet financial goals.13-2071 | 0.064312.0 | 0.00797.1 |
Recommend educational materials or resources to clients on matters such as financial planning, budgeting, or credit.13-2071 | 0.03847.2 | 0.00827.4 |
Explain services or policies to clients, such as debt management program rules, the advantages and disadvantages of using services, or creditor concession policies.13-2071 | 0.03145.9 | 0.00746.6 |
Calculate amount of debt and funds available to plan methods of payoff and to estimate time for debt liquidation.13-2071 | 0.02644.9 | 0.00302.7 |
Teach courses or seminars on topics such as budgeting, managing personal finances, or financial literacy.13-2071 | 0.02113.9 | 0.00272.4 |
Estimate time for debt repayment given amount of debt, interest rates, and available funds.13-2071 | 0.01282.4 | —0 |
Analyze potential loan markets to find opportunities to promote loans and financial services.13-2071 | 0.00941.8 | 0.00252.2 |
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 |
|---|---|
Calculate clients' available monthly income to meet debt obligations.O*NET Task ID 18935 | 1.0 |
Estimate time for debt repayment, given amount of debt, interest rates, and available funds.O*NET Task ID 18937 | 1.0 |
Explain services or policies to clients, such as debt management program rules, advantages and disadvantages of using services, or creditor concession policies.O*NET Task ID 18938 | 1.0 |
Prepare written documents to establish contracts with or communicate financial recommendations to clients.O*NET Task ID 18942 | 1.0 |
Explain general financial topics to clients, such as credit report ratings, bankruptcy laws, consumer protection laws, wage attachments, or collection actions.O*NET Task ID 18952 | 1.0 |
Explain loan information to clients, such as available loan types, eligibility requirements, or loan restrictions.O*NET Task ID 18953 | 1.0 |
Advise clients or respond to inquiries about financial matters in person or via phone, email, Web site, or Internet chat.O*NET Task ID 18933 | 0.5 |
Assess clients' overall financial situations by reviewing income, assets, debts, expenses, credit reports, or other financial information.O*NET Task ID 18934 | 0.5 |
Create debt management plans, spending plans, or budgets to assist clients to meet financial goals.O*NET Task ID 18936 | 0.5 |
Interview clients by telephone or in person to gather financial information.O*NET Task ID 18939 | 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