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AI Automation Index
Will AI Replace Document Management Specialists?
Task-level automation exposure for Document Management Specialists: 23 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
75%
weighted task index
23 of 23 tasks scored
Median Salary
$116,580 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
435,370 people hold this job — size, not growth
Projected 2025–35
+5.1%
employment change
27,000 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$60,470 – $156,590
Highest medians
District of Columbia $156,590
Maryland $144,680
Colorado $139,580
Virginia $139,030
Delaware $137,470
Lowest medians
Puerto Rico $60,470
Tennessee $76,470
Guam $76,770
Louisiana $77,000
North Dakota $78,330
State figures come from the 15-1299 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 75%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 19%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 12%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 5/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
23 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 91%
21 tasks
Medium exposure (≥ 35%) 9%
2 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#16234 · Core · 72% automatable
Assist in determining document management policies to facilitate efficient, legal, and secure access to electronic content.
text generation — AI drafts data management procedures; human approves
Develop procedures for data management.
#16232 · Core · 80% automatable
Assist in the development of document or content classification taxonomies to facilitate information capture, search, and retrieval.
data analysis — Data preparation for analysis automatable
Prepare data for analysis. Develop procedures for data entry or processing.
#16238 · Core · 86% automatable
Implement electronic document processing, retrieval, and distribution systems in collaboration with other information technology specialists.
information retrieval — Retrieve info from electronic sources
Retrieve information from electronic sources.
#16239 · Core · 85% automatable
Identify and classify documents or other electronic content according to characteristics such as security level, function, and metadata.
data analysis — Data preparation for analysis automatable
Prepare data for analysis.
#16229 · Core · 74% automatable
Develop, document, or maintain standards, best practices, or system usage procedures.
text generation — Draft operational procedure documentation
Develop performance metrics or standards related to information technology. Document operational procedures.
#16233 · Core · 73% automatable
Assist in the assessment, acquisition, or deployment of new electronic document management systems.
data analysis — Cost-effectiveness modeling from given data
Assess the cost effectiveness of products, projects, or services. Analyze costs and benefits of proposed designs or projects.
#16237 · Core · 60% automatable
Administer document and system access rights and revision control to ensure security of system and integrity of master documents.
decision support — Security implementation needs human judgment and deployment
Implement security measures for computer or information systems.
#20368 · Core · 80% automatable
Prepare and record changes to official documents and confirm changes with legal and compliance management staff, including enterprise-wide records management staff.
text generation — Organize and check documentation accuracy largely automatable
Manage documentation to ensure organization or accuracy.
#16220 · Core · 65% automatable
Write, review, or execute plans for testing new or established document management systems.
text generation — AI drafts testing routines; engineer verifies coverage
Develop testing routines or procedures.
#16219 · Core · 52% automatable
Monitor regulatory activity to maintain compliance with records and document management laws.
decision support — AI monitors logs; human owns operational compliance judgment
Monitor operational activities to ensure compliance with regulations or standard operating procedures.
#16222 · Core · 86% automatable
Retrieve electronic assets from repository for distribution to users, collecting and returning to repository, if necessary.
information retrieval — Retrieve info from electronic sources
Retrieve information from electronic sources.
#20367 · Core · 80% automatable
Keep abreast of developments in document management technologies and techniques by reviewing current literature, talking with colleagues, participating in educational programs, attending meetings or workshops, or participating in professional organizations or conferences.
information retrieval — AI scans trend sources; human weighs relevance
Update knowledge about emerging industry or technology trends.
#16231 · Core · 50% automatable
Conduct needs assessments to identify document management requirements of departments or end users.
data analysis — Analysis aided; primary customer data collection human
Collect data about customer needs.
#16240 · Core · 72% automatable
Develop or configure document management system features, such as user interfaces, access profiles, and document workflow procedures.
text generation — AI drafts data management procedures; human approves
Develop procedures for data management.
#16228 · Core · 82% automatable
Document technical functions and specifications for new or proposed content management systems.
text generation — Draft technical specs from given requirements
Document technical specifications or requirements.
#16226 · Core · 85% automatable
Exercise security surveillance over document processing, reproduction, distribution, storage, or archiving.
data analysis — AI monitors digital security logs and alerts
Monitor the security of digital information.
#16230 · Core · 70% automatable
Consult with end users regarding problems in accessing electronic content.
decision support — Software support is largely diagnosable with human review
Provide technical support for software maintenance or use.
#16223 · Core · 72% automatable
Propose recommendations for improving content management system capabilities.
decision support — Drafts sound recommendations; human validates against real systems
Recommend changes to improve computer or information systems.
#16236 · Core · 75% automatable
Operate data capture technology to import digitized documents into document management system.
text generation — AI drafts data entry procedures; human approves
Develop procedures for data entry or processing.
#16224 · Core · 80% automatable
Prepare support documentation and training materials for end users of document management systems.
text generation — Draft instruction manuals from product details
Prepare instruction manuals.
#16221 · Core · 86% automatable
Search electronic sources, such as databases or repositories, or manual sources for information.
information retrieval — Retrieve info from electronic sources
Retrieve information from electronic sources.
#16227 · Core · 75% automatable
Implement scanning or other automated data entry procedures, using imaging devices and document imaging software.
text generation — AI drafts data entry procedures; human approves
Develop procedures for data entry or processing.
#16235 · Supplemental · 70% automatable
Analyze, interpret, or disseminate system performance data.
data analysis — Diagnoses operational problems from data; human acts
Analyze data to identify or resolve operational problems.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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