متخصصو الحسابات المدينة
الأعمال والماليةالتعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع جدًا· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.310
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
- مصدر البيانات: ILOتاريخ النشر: 2025
0.49
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
وحدة التصنيف ISCO-08 — تأخذ كل المهن ذات الرمز نفسه هذه القيمة
محسوب من قِبل هذا الموقع وليس منشورًا من منظمة العمل الدولية: من بين 1,012 مهنة يربطها هذا الموقع بمجموعة بيانات المنظمة، تبلغ نسبة التي تساوي هذه القيمة أو تتجاوزها 21%.
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
Task-level exposure
عرض 18 مهمة مخفية| Task | Claude.aiRaw / share % |
|---|---|
Perform financial calculations, such as amounts due, interest charges, balances, discounts, equity, and principal.43-3031 | 0.025022.0 |
Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers.43-3031 | 0.022219.6 |
Calculate costs of materials, overhead, and other expenses, based on estimates, quotations and price lists.43-3031 | 0.016514.6 |
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 | 0.014412.7 |
Operate computers programmed with accounting software to record, store, and analyze information.43-3031 | 0.00645.6 |
Debit, credit, and total accounts on computer spreadsheets and databases, using specialized accounting software.43-3031 | 0.00635.5 |
Prepare and process payroll information.43-3031 | 0.00585.1 |
Compile budget data and documents, based on estimated revenues and expenses and previous budgets.43-3031 | 0.00534.7 |
Reconcile records of bank transactions.43-3031 | 0.00433.8 |
Calculate and prepare checks for utilities, taxes, and other payments.43-3031 | 0.00353.1 |
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
معلومات مهنية
تغيّرات حديثة تخصّ هذه المهنة
مايو 2025: Brookings retraining analysis: workers displaced by AI from clerical roles face challenging transitions. TAA participants remained underemployed even 4 years after job loss.
[المصدر: Brookings Institution]أكتوبر 2024: Brookings (Oct 2024) names bookkeepers among the office and administrative support jobs, a sector with high generative AI exposure and high automation potential, that have long given women without a college degree decent-paying, stable work.
[المصدر: Brookings 2024 — Generative AI, the American worker]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.