税務申告書作成者
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
0.128
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 % |
|---|---|
Explain federal and state tax laws to individuals and companies.13-2082 | 0.096581.7 |
Furnish taxpayers with sufficient information and advice to ensure correct tax form completion.13-2082 | 0.00887.5 |
Answer questions and provide future tax planning to clients.13-2082 | 0.00746.3 |
Prepare or assist in preparing simple to complex tax returns for individuals or small businesses.13-2082 | 0.00332.8 |
Check data input or verify totals on forms prepared by others to detect errors in arithmetic, data entry, or procedures.13-2082 | 0.00221.8 |
| Not observed on any surface — 6 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. | |
Compute taxes owed or overpaid, using adding machines or personal computers, and complete entries on forms, following tax form instructions and tax tables. | —0 |
Use all appropriate adjustments, deductions, and credits to keep clients' taxes to a minimum. | —0 |
Interview clients to obtain additional information on taxable income and deductible expenses and allowances. | —0 |
Review financial records such as income statements and documentation of expenditures to determine forms needed to prepare tax returns. | —0 |
Consult tax law handbooks or bulletins to determine procedures for preparation of atypical returns. | —0 |
Calculate form preparation fees according to return complexity and processing time required. | —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 |
|---|---|
Compute taxes owed or overpaid, using adding machines or personal computers, and complete entries on forms, following tax form instructions and tax tables.O*NET Task ID 7358 | 1.0 |
Calculate form preparation fees according to return complexity and processing time required.O*NET Task ID 7365 | 1.0 |
Check data input or verify totals on forms prepared by others to detect errors in arithmetic, data entry, or procedures.O*NET Task ID 7366 | 1.0 |
Prepare or assist in preparing simple to complex tax returns for individuals or small businesses.O*NET Task ID 7359 | 0.5 |
Use all appropriate adjustments, deductions, and credits to keep clients' taxes to a minimum.O*NET Task ID 7360 | 0.5 |
Interview clients to obtain additional information on taxable income and deductible expenses and allowances.O*NET Task ID 7361 | 0.5 |
Review financial records, such as income statements and documentation of expenditures to determine forms needed to prepare tax returns.O*NET Task ID 7362 | 0.5 |
Furnish taxpayers with sufficient information and advice to ensure correct tax form completion.O*NET Task ID 7363 | 0.5 |
Consult tax law handbooks or bulletins to determine procedures for preparation of atypical returns.O*NET Task ID 7364 | 0.5 |
Answer questions and provide future tax planning to clients.O*NET Task ID 20363 | 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