簿記事務員
事務・管理サポートAI露出度
- データ出典: BLS公表時点: '26.08
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: '26.03
0.310
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: '25
0.49
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21%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 20 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers.43-3031 | 0.029337.1 | 0.067571.4 |
Perform financial calculations, such as amounts due, interest charges, balances, discounts, equity, and principal.43-3031 | 0.018623.5 | 0.00444.7 |
Compile statistical, financial, accounting, or auditing reports and tables pertaining to such matters as cash receipts, expenditures, accounts payable and receivable, and profits and losses.43-3031 | 0.013016.4 | 0.011412.1 |
Compile budget data and documents, based on estimated revenues and expenses and previous budgets.43-3031 | 0.008010.1 | —0 |
Calculate costs of materials, overhead, and other expenses, based on estimates, quotations and price lists.43-3031 | 0.00465.8 | —0 |
Calculate, prepare, and issue bills, invoices, account statements, and other financial statements according to established procedures.43-3031 | 0.00313.9 | —0 |
Operate computers programmed with accounting software to record, store, and analyze information.43-3031 | 0.00263.3 | 0.00373.9 |
Access computerized financial information to answer general questions as well as those related to specific accounts. | —0 | 0.00313.2 |
Reconcile records of bank transactions. | —0 | 0.00262.8 |
Comply with federal, state, and company policies, procedures, and regulations. | —0 | 0.00171.8 |
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 |
|---|---|
Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes.O*NET Task ID 2486 | 1.0 |
Operate computers programmed with accounting software to record, store, and analyze information.O*NET Task ID 2487 | 1.0 |
Debit, credit, and total accounts on computer spreadsheets and databases, using specialized accounting software.O*NET Task ID 2489 | 1.0 |
Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers.O*NET Task ID 2490 | 1.0 |
Code documents according to company procedures.O*NET Task ID 2493 | 1.0 |
Operate 10-key calculators, typewriters, and copy machines to perform calculations and produce documents.O*NET Task ID 2495 | 1.0 |
Perform financial calculations, such as amounts due, interest charges, balances, discounts, equity, and principal.O*NET Task ID 2497 | 1.0 |
Perform general office duties, such as filing, answering telephones, and handling routine correspondence.O*NET Task ID 2498 | 1.0 |
Calculate and prepare checks for utilities, taxes, and other payments.O*NET Task ID 2501 | 1.0 |
Compare computer printouts to manually maintained journals to determine if they match.O*NET Task ID 2502 | 1.0 |
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
Occupation information
この職業に関わる最近の変化
2026年4月: Bookkeeping clerks classified in office/administrative high-risk segment by OpenAI framework — repetitive structured ledger and reconciliation work.
[出典: OpenAI Jobs Transition Framework, April 2026]2026年3月: Brookings retraining analysis: workers displaced by AI from clerical roles face challenging transitions. TAA participants remained underemployed even 4 years after job loss.
[出典: Brookings Institution]2026年3月: AI Layoff Trap research highlights bookkeeping as especially vulnerable to over-automation due to highly structured task composition in competitive markets.
[出典: Falk & Tsoukalas (2026), The AI Layoff Trap]