Will AI replace Document Management Specialists?
AI can do 100% of the work Document Management Specialists do at least twice as fast. People already use it for 8 of their 23 tasks, while 15 more are ready but barely used so far.
AI is already doing this8 · 38% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Administer document and system access rights and revision control to ensure security of system and integrity of master documents.Mostly automated9% of time
- Develop or configure document management system features, such as user interfaces, access profiles, and document workflow procedures.Mostly automated8% of time
- Implement electronic document processing, retrieval, and distribution systems in collaboration with other information technology specialists.Mostly automated5% of time
- Document technical functions and specifications for new or proposed content management systems.Mostly automated4% of time
- Assist in the assessment, acquisition, or deployment of new electronic document management systems.Mostly automated4% of time
- Search electronic sources, such as databases or repositories, or manual sources for information.Mostly automated3% of time
- Implement scanning or other automated data entry procedures, using imaging devices and document imaging software.Mostly automated3% of time
- Analyze, interpret, or disseminate system performance data.Mostly automated3% of time
AI could do this next15 · 62% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Consult with end users regarding problems in accessing electronic content.8% of time
- Identify and classify documents or other electronic content according to characteristics such as security level, function, and metadata.7% of time
- Develop, document, or maintain standards, best practices, or system usage procedures.5% of time
- Write, review, or execute plans for testing new or established document management systems.4% of time
- Retrieve electronic assets from repository for distribution to users, collecting and returning to repository, if necessary.4% of time
- Prepare support documentation and training materials for end users of document management systems.4% of time
- Conduct needs assessments to identify document management requirements of departments or end users.4% of time
- Assist in the development of document or content classification taxonomies to facilitate information capture, search, and retrieval.4% of time
- Assist in determining document management policies to facilitate efficient, legal, and secure access to electronic content.4% of time
- Operate data capture technology to import digitized documents into document management system.4% of time
- 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.4% of time
- Monitor regulatory activity to maintain compliance with records and document management laws.3% of time
- Propose recommendations for improving content management system capabilities.3% of time
- Exercise security surveillance over document processing, reproduction, distribution, storage, or archiving.3% of time
- Prepare and record changes to official documents and confirm changes with legal and compliance management staff, including enterprise-wide records management staff.3% of time
Still needs a person0 · 0% of time
No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.
- Every task in this job is touched by AI or robots in some way.
Your week is not the average
Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.
What this means
AI can already do almost all of this work at least twice as fast. People in this job already use it heavily. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.
What to do next
- Do the 8 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
- Get ahead on the 15 tasks AI could do next. These move as tools improve, so learning them early pays off.
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