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Data Verification Clerks

Office & Administrative Supportvery highautomate
Projected change (est.): ~-18%
Median Wage (est.): ~$35,680
Employment (est.): ~54K

Overall Exposure

79

2025 vs 2023

Theoretical Exposure

94

What AI could do

Observed Exposure

64

What AI actually does

Automation Risk Score

86

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

79→89
+10

2025 → 2028 (estimated)

Theoretical Exposure

94→97
+3

2025 → 2028 (estimated)

Observed Exposure

64→81
+17

2025 → 2028 (estimated)

Automation Risk

86→93
+7

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Task Breakdown

Compare data entries against source documents for accuracy
90%β 1
Identify and correct data entry errors and inconsistencies
86%β 1
Generate verification reports and quality metrics
84%β 1

About This Occupation

If you work as a Data Verification Clerk, AI is automating most of your role. With an automation risk of 86/100 and overall exposure at 79%, data comparison (90% automation) is the most impacted task. BLS projects -18% decline through 2034.

ISCO-08 classification

Unit group 4132ILO official

Data Entry Clerks

Definition

ILO original text (English)

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.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

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Official occupational information

  • ONET43-9021.00

    Data Entry Keyers

    Operate data entry device, such as keyboard or photo composing perforator. Duties may include verifying data and preparing materials for printing.

    View original

Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

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Frequently Asked Questions

With an automation risk score of 86%, Data Verification Clerks faces a significant risk of AI-driven displacement. Many core tasks in this role can be automated by current AI systems. However, full replacement is unlikely in the near term -- AI will more likely transform the role rather than eliminate it entirely.

Our estimated AI automation risk score for Data Verification Clerks is 86% for 2025. Estimated overall AI exposure is 79%, with 94% theoretical exposure and 64% observed exposure. The estimated risk trend from 2023 to 2025 is 0 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Data Verification Clerks are: Compare data entries against source documents for accuracy (90%), Identify and correct data entry errors and inconsistencies (86%), Generate verification reports and quality metrics (84%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a -18% employment change for Data Verification Clerks between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 79%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily automates tasks in this role, professionals in Data Verification Clerks should focus on developing skills that complement AI rather than compete with it. Consider learning AI tool management, shifting toward supervisory and quality-control tasks, and building expertise in areas where human judgment remains essential.