95
/100

SOC 43-9021

Data Entry Keyers

Very High RiskFrey/Osborne: 99.0%

Risk Score

โš ๏ธ

95/100

Very High Risk

US Employment

๐Ÿ‘ฅ

135,280

Total workers

Median Wage

๐Ÿ’ฐ

$40K

$30K โ€“ $57K

Projected Growth

๐Ÿ“ˆ

-25.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Data Entry Keyers face a risk score of 95/100 โ€” 51 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $40K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 95/100, Data Entry Keyers faces significant automation pressure. Key threats include large language model automation of analysis tasks and ai summarization replacing manual report compilation. The 135,280 Americans in this role should actively develop skills in managing sensitive interpersonal workplace situations and building trust-based relationships with executives to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Data Entry Keyers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

AI summarization replacing manual report compilation

3

Automated invoice and expense processing

4

Smart form extraction replacing manual data processing

5

Generative AI producing marketing and creative copy

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Managing sensitive interpersonal workplace situations

โœ“

Building trust-based relationships with executives

โœ“

Exercising discretion in ambiguous administrative decisions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Locate and correct data entry errors, or report them to supervisors.

โ€ข

Compile, sort, and verify the accuracy of data before it is entered.

โ€ข

Compare data with source documents, or re-enter data in verification format to detect errors.

โ€ข

Store completed documents in appropriate locations.

โ€ข

Select materials needed to complete work assignments.

๐Ÿ’ป Technology Skills

โ€ข

Customer relationship management CRM software

โ€ข

Data base user interface and query software

โ€ข

Medical software

โ€ข

Video conferencing software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Administrative

โ€ข

Customer and Personal Service

โ€ข

Law and Government

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$40K
$-6K

National avg: $46K

Risk Score95/100
+51

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth-25.9%
-29.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K84%
Education Administrators, All Other21$89K53%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K68%