الاكتواريون
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
0.054
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
- مصدر البيانات: ILOتاريخ النشر: 2025
0.56
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 8%.
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
المهام ذات التعرض فقط| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide advice to clients on a contract basis, working as a consultant.15-2011 | 0.0700100.0 | —0 |
Explain changes in contract provisions to customers.15-2011 | 0.00000.0 | 0.00000.0 |
Analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates.15-2011 | 0.00000.0 | —0 |
| Not observed on any surface — 12 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. | ||
Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits. | —0 | —0 |
Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums. | —0 | —0 |
Collaborate with programmers, underwriters, accounts, claims experts, and senior management to help companies develop plans for new lines of business or improvements to existing business. | —0 | —0 |
Determine, or help determine, company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public. | —0 | —0 |
Testify before public agencies on proposed legislation affecting businesses. | —0 | —0 |
Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information. | —0 | —0 |
Determine policy contract provisions for each type of insurance. | —0 | —0 |
Provide expertise to help financial institutions manage risks and maximize returns associated with investment products or credit offerings. | —0 | —0 |
Determine equitable basis for distributing surplus earnings under participating insurance and annuity contracts in mutual companies. | —0 | —0 |
Negotiate terms and conditions of reinsurance with other companies. | —0 | —0 |
Testify in court as expert witness or to provide legal evidence on matters such as the value of potential lifetime earnings of a person disabled or killed in an accident. | —0 | —0 |
Manage credit and help price corporate security offerings. | —0 | —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 |
|---|---|
Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits.O*NET Task ID 3500 | 0.5 |
Analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates.O*NET Task ID 3501 | 0.5 |
Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums.O*NET Task ID 3502 | 0.5 |
Collaborate with programmers, underwriters, accounts, claims experts, and senior management to help companies develop plans for new lines of business or improvements to existing business.O*NET Task ID 3503 | 0.5 |
Determine, or help determine, company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public.O*NET Task ID 3504 | 0.5 |
Testify before public agencies on proposed legislation affecting businesses.O*NET Task ID 3505 | 0.5 |
Provide advice to clients on a contract basis, working as a consultant.O*NET Task ID 3506 | 0.5 |
Testify in court as expert witness or to provide legal evidence on matters such as the value of potential lifetime earnings of a person disabled or killed in an accident.O*NET Task ID 3507 | 0.5 |
Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information.O*NET Task ID 3508 | 0.5 |
Determine policy contract provisions for each type of insurance.O*NET Task ID 3509 | 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