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
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 0%.
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.
Compile, sort and verify the accuracy of data before it is entered.Details
43-9021
0.013865.0
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.Details
43-9021
0.004219.6
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.Details
43-9021
0.003315.3
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
Compile, sort, and verify the accuracy of data before it is entered.Details
O*NET Task ID 11402
1.0
Compare data with source documents, or re-enter data in verification format to detect errors.Details
O*NET Task ID 11403
1.0
Store completed documents in appropriate locations.Details
O*NET Task ID 11404
1.0
Locate and correct data entry errors, or report them to supervisors.Details
O*NET Task ID 11405
1.0
Maintain logs of activities and completed work.Details
O*NET Task ID 11406
1.0
Select materials needed to complete work assignments.Details
O*NET Task ID 11407
1.0
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.Details
O*NET Task ID 11409
1.0
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.Details
O*NET Task ID 11401
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
Occupation information
ILO occupational description
Data Entry Clerks
كتبة إدخال البيانات
Data entry clerks enter coded, statistical, financial and other numerical data into electronic equipment, computerized databases, spreadsheets or other data repositories using a keyboard, mouse, optical scanner, speech recognition software or other data entry tools. They enter data into mechanical and electronic devices to perform mathematical calculations.
Tasks
(a) receiving and registering invoices, forms, records and other documents for data capture;
(b) entering numerical data, codes and text from source material into computer-compatible storage and processing devices;
(c) verifying accuracy and completeness of data and correcting entered data, if needed;
(d) operating bookkeeping and calculating machines;
(e) importing and exporting data between different database systems and software.
Example occupations
Data entry operator · Data input clerk · Payment entry clerk
موظف إدخال بيانات / موظفة إدخال البياناتESCO 4132.1
يقوم موظفو إدخال البيانات بتحديث المعلومات المحفوظة على أنظمة الكمبيوتر والاحتفاظ بها واستعادتها. وهم يقومون بإعداد بيانات المصادر لإدخالها إلى الكمبيوتر عن طريق تجميع المعلومات وفرزها، ومعالجة مستندات مصدر العميل والحساب عن طريق مراجعة البيانات للتحقق من أوجه القصور والتحقق من بيانات العميل والحساب المدخلة.
Source:European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
ESCO reuse terms and the modification notice are in Credits.
Shown in the original Korean. This dataset is published under KOGL Type 4, which prohibits derivative works including translation, so the text is reproduced unaltered.
The KNOW occupations and KECO codes listed here were linked to this page's occupation by this site; this is not a correspondence defined by the Korea Employment Information Service or the Ministry of Employment and Labor.
Projected change: -25.5%
Median wage: $41K
lowest $31Kmedian wage across 825 detailed occupations, BLS EP 2025–35highest $559K
Employment: 132K
Typical entry-level education: High school diploma or equivalent
أبريل 2026: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.
أبريل 2026: Among highest automation exposure occupations. AI topped all job cut reasons in March 2026 with 15,341 positions (25% of total). Q1 cumulative AI cuts: 27,645.
