AI is already generating catalog records, assigning subject headings, and cleaning metadata. Here's what that means for your career and what to do about it.
AI won't replace technical services librarians, but it's already replacing much of the routine cataloging work they do. Vendors now ship MARC records enriched by machine learning, and copy cataloging volumes are shrinking. Judgment, standards expertise, and collection stewardship remain irreplaceable.
TASK LEVEL RISK
Most of the work stays human. AI assists at the edges.
AI is handling specific tasks. The core role is intact but shifting.
AI is automating significant portions of the work. Adaptation is essential.
Higher risk
Copy cataloging, basic MARC record creation, subject heading suggestions, metadata cleanup, duplicate detection, spine label generation, ISBN lookups
Lower risk
Original cataloging of rare items, authority control decisions, workflow design, vendor negotiation, staff supervision, policy setting, special collections description
Technical services librarianship depends on standards judgment, authority control decisions, and institutional context that AI systems cannot reliably interpret alone.
WHAT YOU SHOULD DO
Skills to build for the AI era
New skills - Adapt to the AI landscape
New skills - Adapt to the AI landscape
Understanding of BIBFRAME, RDF, and linked open data models that are replacing MARC as the foundation of bibliographic description.
Ability to evaluate machine-generated catalog records, identify systematic errors, and refine AI outputs against cataloging standards.
Python, MarcEdit, and OpenRefine skills for cleaning large metadata sets, automating repetitive tasks, and transforming data between schemas.
Knowledge of preservation metadata standards like PREMIS, format migration strategies, and tools such as Archivematica for born-digital materials.
Timeless skills - What AI can't replicate
Timeless skills - What AI can't replicate
Deep expertise in RDA, LCSH, and classification systems to make consistent, defensible decisions on ambiguous or novel materials.
Resolving name conflicts, disambiguating creators, and maintaining consistent access points requires research and judgment AI cannot reliably replicate.
Structuring acquisitions, cataloging, and processing workflows to fit staffing, budgets, and institutional priorities remains a deeply human management skill.
THE FULL PICTURE
What AI can do, what it can't, and where the career is headed
What AI can already do
- Generate draft MARC records from book descriptions
- Suggest LCSH subject headings using classification models
- Detect duplicate bibliographic records across catalogs
- Extract metadata from digital files automatically
- Clean and normalize legacy catalog data at scale
- Recommend classification numbers based on similar titles
What AI can't do
- Make final authority control decisions when name conflicts or attribution ambiguities arise.
- Design technical services workflows that fit a specific library's staff and community.
- Negotiate with vendors over record quality, licensing terms, and integration issues.
- Describe rare, archival, or non-standard materials that require deep contextual expertise.
- These are the core contributions of Technical Services Librarians, and they remain entirely human.
Technical services librarians who master linked data, AI oversight, and metadata strategy will lead their libraries into the next decade.
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Job outlook
The Bureau of Labor Statistics projects librarian employment to grow 3 percent from 2024 to 2034, about as fast as average. Demand is strongest in academic libraries, government agencies, and specialized research institutions. Librarians skilled in digital collections, linked data, and systems administration have the strongest prospects.