予算アナリスト
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
0.067
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
0.51
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17%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 % |
|---|---|
Perform cost-benefit analyses to compare operating programs, review financial requests, or explore alternative financing methods.13-2031 | 0.008633.9 |
Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation.13-2031 | 0.006726.2 |
Compile and analyze accounting records and other data to determine the financial resources required to implement a program.13-2031 | 0.003513.7 |
Summarize budgets and submit recommendations for the approval or disapproval of funds requests.13-2031 | 0.003011.7 |
Seek new ways to improve efficiency and increase profits.13-2031 | 0.00207.7 |
Analyze monthly department budgeting and accounting reports to maintain expenditure controls.13-2031 | 0.00176.9 |
| Not observed on any surface — 7 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. | |
Direct the preparation of regular and special budget reports. | —0 |
Consult with managers to ensure that budget adjustments are made in accordance with program changes. | —0 |
Review operating budgets to analyze trends affecting budget needs. | —0 |
Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations. | —0 |
Interpret budget directives and establish policies for carrying out directives. | —0 |
Match appropriations for specific programs with appropriations for broader programs, including items for emergency funds. | —0 |
Testify before examining and fund-granting authorities, clarifying and promoting the proposed budgets. | —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 |
|---|---|
Interpret budget directives and establish policies for carrying out directives.O*NET Task ID 3404 | 1.0 |
Analyze monthly department budgeting and accounting reports to maintain expenditure controls.O*NET Task ID 3394 | 0.5 |
Direct the preparation of regular and special budget reports.O*NET Task ID 3395 | 0.5 |
Consult with managers to ensure that budget adjustments are made in accordance with program changes.O*NET Task ID 3396 | 0.5 |
Match appropriations for specific programs with appropriations for broader programs, including items for emergency funds.O*NET Task ID 3397 | 0.5 |
Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation.O*NET Task ID 3398 | 0.5 |
Summarize budgets and submit recommendations for the approval or disapproval of funds requests.O*NET Task ID 3399 | 0.5 |
Seek new ways to improve efficiency and increase profits.O*NET Task ID 3400 | 0.5 |
Review operating budgets to analyze trends affecting budget needs.O*NET Task ID 3401 | 0.5 |
Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations.O*NET Task ID 3402 | 0.5 |
Testify before examining and fund-granting authorities, clarifying and promoting the proposed budgets.O*NET Task ID 3406 | 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