Headline risk
11%
Low RiskInformation and record clerks, all other
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
All information and record clerks not listed separately.
Task evidence
Task primitive coverage is not published for this occupation.
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 48,360
Employment 2024
153.3K
Projected Change (2024–34)
-0.2%
Openings (2024–34)
17.8K
Wage distribution
Demand outlook
Overall employment of information clerks is projected to grow 3 percent from 2024 to 2034, decline.
Role Profile
Requirements
Worker profile
Median age 41.9 · 101K employed
Under 25: 13% · 25–54: 64% · 55+: 22%
Related
No direct US role match is available yet for this occupation.
Source coverage
7/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Information clerks perform routine clerical duties, maintain records, collect data, and provide information to customers.
Although information clerks are employed in nearly every industry, many work in government agencies, hotels, and healthcare facilities. Most information clerks work full time.
Information clerks typically need a high school diploma and learn their skills on the job. Some employers may prefer to hire candidates with some college education or an associate’s degree, depending on the occupation.
The median annual wage for information clerks was $43,730 in May 2024.
Overall employment of information clerks is projected to grow 3 percent from 2024 to 2034, decline.
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.