How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Find, retrieve, and make copies of information from files in response to requests and deliver information to authorized users.75
- Sort or classify information according to guidelines, such as content, purpose, user criteria, or chronological, alphabetical, or numerical order.75
- Add new material to file records or create new records as necessary.75
- Assign and record or stamp identification numbers or codes to index materials for filing.75
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Track materials removed from files to ensure that borrowed files are returned.01
- Perform periodic inspections of materials or files to ensure correct placement, legibility, or proper condition.02
- Keep records of materials filed or removed, using logbooks or computers and generate computerized reports.03
- Perform general office activities, such as typing, answering telephones, operating office machines, processing mail, or securing confidential materials.04
- Input data, such as file numbers, new or updated information, or document information codes into computer systems to support document and information retrieval.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Title Examiners, Abstractors, and Searchers
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Compare these careers →Management Analysts
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Compare these careers →Court, Municipal, and License Clerks
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Compare these careers →Receptionists and Information Clerks
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
