Will document management specialists be replaced by AI?

Updated

Document management specialists score 61 of 100 for AI exposure. The largest share of their task time, 83%, is work AI speeds up while they stay in charge. AI can take over the other 17% outright.

  • 17% AI can do it
  • 83% AI helps
610100

High exposure

Higher than 93% of the 923 occupations we scored.

Task by task

We graded 23 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 19 and leaves 0 to people.

TaskAI exposure
Prepare support documentation and training materials for end users of document management systems. AI drafts training materials and guides; trainers review them.75% AI can do it
Identify and classify documents or other electronic content according to characteristics such as security level, function, and metadata. Classifying documents by metadata and security level suits AI.70% AI can do it
Retrieve electronic assets from repository for distribution to users, collecting and returning to repository, if necessary. Repository retrieval and return is largely a system workflow.65% AI can do it
Search electronic sources, such as databases or repositories, or manual sources for information. Digital searches are strong for AI; physical record hunts remain manual.65% AI can do it
Develop, document, or maintain standards, best practices, or system usage procedures. AI drafts procedures and standards; owners approve and enforce them.60% AI helps
Document technical functions and specifications for new or proposed content management systems. AI drafts technical specs quickly; engineers verify accuracy.60% AI helps
Analyze, interpret, or disseminate system performance data. AI analyzes performance data and drafts summaries; humans interpret.60% AI helps
Write, review, or execute plans for testing new or established document management systems. AI drafts test plans and scripts; execution still needs people.55% AI helps
Assist in the development of document or content classification taxonomies to facilitate information capture, search, and retrieval. AI can propose taxonomy structures; people validate business fit.50% AI helps
Assist in determining document management policies to facilitate efficient, legal, and secure access to electronic content. Drafting policy options with AI; legal approval stays with people.45% AI helps
Show the other 13 tasks
TaskAI exposure
Administer document and system access rights and revision control to ensure security of system and integrity of master documents. Access and revision rules are software based; approvals stay human.45% AI helps
Prepare and record changes to official documents and confirm changes with legal and compliance management staff, including enterprise-wide records management staff. AI prepares change records; legal and compliance must confirm.45% AI helps
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. AI summarizes literature; conferences and peer talks stay human.45% AI helps
Propose recommendations for improving content management system capabilities. AI can analyze usage gaps and suggest feature improvements.45% AI helps
Monitor regulatory activity to maintain compliance with records and document management laws. AI tracks and summarizes rules; compliance needs verification.40% AI helps
Conduct needs assessments to identify document management requirements of departments or end users. Interviews stay human; AI helps analyze responses and draft surveys.40% AI helps
Develop or configure document management system features, such as user interfaces, access profiles, and document workflow procedures. Configuration is software work; AI assists scripting and workflow design.40% AI helps
Consult with end users regarding problems in accessing electronic content. AI can handle common access questions; live troubleshooting stays human.40% AI helps
Implement scanning or other automated data entry procedures, using imaging devices and document imaging software. Imaging software automates extraction; physical feeding stays manual.40% AI helps
Implement electronic document processing, retrieval, and distribution systems in collaboration with other information technology specialists. System integration and rollout need joint IT work.35% AI helps
Exercise security surveillance over document processing, reproduction, distribution, storage, or archiving. Log monitoring is automatable; physical surveillance remains human.35% AI helps
Assist in the assessment, acquisition, or deployment of new electronic document management systems. AI aids vendor research; deployment needs manual technical work.30% AI helps
Operate data capture technology to import digitized documents into document management system. Scanner operation needs manual handling; software ingestion is automatable.30% AI helps

See what AI can take on across an IT team

How document management specialists compare

All occupations (923)

Computer and mathematical (36)

Document management specialists score 61, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 60 for computer and mathematical.

Pay and outlook in the US

Median pay
$116,580 a year, May 2025
People employed
48,374 in the US, May 2025
Projected change in jobs
+5.1% from 2024 to 2034

Skills to build

  • Administer Microsoft SharePoint sites, permissions, and retention policies
  • Query Microsoft SQL Server repository tables for audit checks
  • Script metadata validation in Perl on Linux
  • Hold the ARMA Certified Records Manager credential
  • Run needs interviews with department heads before each rollout
  • Operate production scanners and check digitized image quality

Safer roles nearby

5 related occupations with lower scores.

Questions about document management specialists and AI

Will AI replace document management specialists?

Partly. About 5 in 10 working hours go to tasks AI can already do, mostly classifying documents by metadata and security level and retrieving assets from repositories. What stays with people is deciding how records are kept, destroyed and governed, and checking what the system actually did.

Which document management tasks is AI taking over?

AI is taking over classifying documents by metadata and security level, retrieving electronic assets from repositories, and drafting support documentation and training materials. Classification follows rules the team already sets in metadata and security fields, and retrieval is a system workflow that runs without a person pulling each file. Trainers still review every draft before users see it.

Which document management tasks stay human?

Operating data capture for physical documents, running needs assessments, and deploying systems with IT specialists carry the least AI exposure, scored 30 to 40. No task here is fully human, but scanner handling needs hands on paper, interviews need people who can read a department's real workflow, and rollout needs joint IT work.

How can document management specialists stay valuable?

Take on the checks that need a person to verify results. Compare AI-drafted procedures against live SharePoint permissions and SQL Server records, sign off on retention and destruction decisions, and keep Perl and Linux metadata scripts running. Run the needs interviews and physical scanning yourself, and hold the ARMA Certified Records Manager credential.

Next steps for document management specialists

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