BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 0% इस मान के बराबर या उससे अधिक हैं।
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Compile, sort and verify the accuracy of data before it is entered.Details
43-9021
0.016172.2
0.092663.6
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
0.006227.8
0.051235.2
Store completed documents in appropriate locations.Details
—0
0.00181.2
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
डेटा प्रविष्टि लिपिक
स्वयं अनूदित
स्वयं अनूदित — यह आधिकारिक ISCO शब्दावली नहीं है (ILO द्वारा समीक्षित नहीं)।
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
Data entry clerks update, maintain and retrieve information held on computer systems. They prepare source data for computer entry by compiling and sorting information, process customer and account source documents by reviewing data for deficiencies and verify entered customer and account data.
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
अप्रैल 2026: सबसे high automation exposure वाली occupations में से। March 2026 में AI ने 15,341 (25%) के साथ सभी job cut reasons में top किया। Q1 cumulative AI cuts: 27,645।
