報酬アナリスト
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
0.065
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
0.45
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25%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
露出のある作業のみ| Task | Claude.aiRaw / share % |
|---|---|
Analyze organizational, occupational, and industrial data to facilitate organizational functions and provide technical information to business, industry, and government.13-1141 | 0.345480.9 |
Plan and develop curricula and materials for training programs and conduct training.13-1141 | 0.046310.8 |
Plan, develop, evaluate, improve, and communicate methods and techniques for selecting, promoting, compensating, evaluating, and training workers.13-1141 | 0.01623.8 |
Advise managers and employees on state and federal employment regulations, collective agreements, benefit and compensation policies, personnel procedures and classification programs.13-1141 | 0.00741.7 |
Prepare research results for publication in form of journals, books, manuals, and film.13-1141 | 0.00691.6 |
Evaluate job positions, determining classification, exempt or non-exempt status, and salary.13-1141 | 0.00250.6 |
Prepare reports, such as organization and flow charts, and career path reports, to summarize job analysis and evaluation and compensation analysis information.13-1141 | 0.00210.5 |
| Not observed on any surface — 17 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Ensure company compliance with federal and state laws, including reporting requirements. | —0 |
Provide advice on the resolution of classification and salary complaints. | —0 |
Prepare occupational classifications, job descriptions and salary scales. | —0 |
Assist in preparing and maintaining personnel records and handbooks. | —0 |
Perform multifactor data and cost analyses that may be used in areas such as support of collective bargaining agreements. | —0 |
Assess need for and develop job analysis instruments and materials. | —0 |
Research job and worker requirements, structural and functional relationships among jobs and occupations, and occupational trends. | —0 |
Observe, interview, and survey employees and conduct focus group meetings to collect job, organizational, and occupational information. | —0 |
Administer employee insurance, pension and savings plans, working with insurance brokers and plan carriers. | —0 |
Negotiate collective agreements on behalf of employers or workers, and mediate labor disputes and grievances. | —0 |
Develop, implement, administer and evaluate personnel and labor relations programs, including performance appraisal, affirmative action and employment equity programs. | —0 |
Research employee benefit and health and safety practices and recommend changes or modifications to existing policies. | —0 |
Advise staff of individuals' qualifications. | —0 |
Review occupational data on Alien Employment Certification Applications to determine the appropriate occupational title and code, and provide local offices with information about immigration and occupations. | —0 |
Consult with or serve as a technical liaison between business, industry, government, and union officials. | —0 |
Work with the Department of Labor and promote its use with employers. | —0 |
Speak at conferences and events to promote apprenticeships and related training programs. | —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 |
|---|---|
Assist in preparing and maintaining personnel records and handbooks.O*NET Task ID 3357 | 1.0 |
Prepare research results for publication in form of journals, books, manuals, and film.O*NET Task ID 3372 | 1.0 |
Evaluate job positions, determining classification, exempt or non-exempt status, and salary.O*NET Task ID 3351 | 0.5 |
Ensure company compliance with federal and state laws, including reporting requirements.O*NET Task ID 3352 | 0.5 |
Advise managers and employees on state and federal employment regulations, collective agreements, benefit and compensation policies, personnel procedures, and classification programs.O*NET Task ID 3353 | 0.5 |
Plan, develop, evaluate, improve, and communicate methods and techniques for selecting, promoting, compensating, evaluating, and training workers.O*NET Task ID 3354 | 0.5 |
Provide advice on the resolution of classification and salary complaints.O*NET Task ID 3355 | 0.5 |
Prepare occupational classifications, job descriptions, and salary scales.O*NET Task ID 3356 | 0.5 |
Prepare reports, such as organization and flow charts and career path reports, to summarize job analysis and evaluation and compensation analysis information.O*NET Task ID 3358 | 0.5 |
Administer employee insurance, pension, and savings plans, working with insurance brokers and plan carriers.O*NET Task ID 3359 | 0.5 |
Observe, interview, and survey employees and conduct focus group meetings to collect job, organizational, and occupational information.O*NET Task ID 3370 | 0.0 |
Consult with, or serve as, technical liaison between business, industry, government, and union officials.O*NET Task ID 3371 | 0.0 |
Speak at conferences and events to promote apprenticeships and related training programs.O*NET Task ID 3374 | 0.0 |
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