As of November 2026, Librarians and Media Collections Specialists has an AI-exposure score of 67/100 (High exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 31.0 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Librarians and Media Collections Specialists

67/100
High exposure
LowModerateElevatedHighVery High

More exposed than 84% of the roles we track. Median pay ~US$68,270. About 13,500 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Librarians and Media Collections Specialists?

No exposure score can predict whether AI will replace this role. The 67/100 score means our current model estimates high task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role's High score and automation-heavy task mix point in the same direction as the study's highest-exposure automation cohort. The measures are not identical, so the study result is context rather than a direct forecast for this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 31.0 exact occupation

Administer and maintain libraries or collections of information, for public or private access through reference or borrowing. Work in a variety of settings, such as educational institutions, museums, and corporations, and with various types of informational materials, such as books, periodicals, recordings, films, and databases. Tasks may include acquiring, cataloging, and circulating library materials, and user services such as locating and organizing information, providing instruction on how to access information, and setting up and operating a library's media equipment.

Common titles
LibrarianLibrary Media SpecialistReference LibrarianUniversity LibrarianCatalog LibrarianCataloger
O*NET job-zone preparation
Job Zone 5 · Extensive Preparation Needed Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionSpeakingCritical ThinkingWritingService OrientationMonitoring
Work context
Indoor controlled settingDecision latitudeFrequent contact with othersRepeating tasks

Source: O*NET 31.0 exact occupation - Librarians and Media Collections Specialists, SOC 25-4022.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Librarians and Media Collections Specialists tasks, by AI exposure

Automatable
  • Code, classify, and catalog books, publications, films, audio-visual aids, and other library materials, based on subject matter or standard library classification systems.
  • Analyze patrons' requests to determine needed information and assist in furnishing or locating that information.
  • Explain use of library facilities, resources, equipment, and services, and provide information about library policies.
7 more automatable tasks locked in the report.
Augmentable
  • Confer with colleagues, faculty, and community members and organizations to conduct informational programs, make collection decisions, and determine library services to offer.
  • Plan and deliver client-centered programs and services, such as special services for corporate clients, storytelling for children, newsletters, or programs for special groups.
4 more augmentable tasks locked in the report.
Durable
  • Supervise daily library operations, budgeting, planning, and personnel activities, such as hiring, training, scheduling, and performance evaluations.
  • Engage in professional development activities, such as taking continuing education classes and attending or participating in conferences, workshops, professional meetings, and associations.
2 more durable tasks locked in the report.

We analyzed all 20 Librarians and Media Collections Specialists tasks - 10 automatable, 6 augmentable and 4 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Library Science Teachers, Postsecondary
56% skills overlap; 9 points lower - lower exposure; Elevated band; ~US$80,340
View path
58
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Code, classify, and catalog books, publications, films, audio-visual aids, and other library materials, based on subject matter or standard library classification systems.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
Unlock the report to check this task

Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

AI was the most-cited reason for announced U.S. job cuts in 2026 through September (21% of all cuts) - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: AI now appears in 7.3% of U.S. job postings on Indeed, up from 1.7% in January 2019 - the skills employers ask for are shifting, and adapting early pays. - Indeed Hiring Lab AI Tracker, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Librarians and Media Collections Specialists - median pay by US state (BLS OEWS, USD)

California: US$89,790New York: US$78,590Texas: US$71,860Florida: US$67,060

Median annual wage, in USD. US national: US$68,270. More states are being added.

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