Will AI replace librarians and media collections specialists?
Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Librarians and Media Collections Specialists score 54 out of 100 (elevated exposure), #158 of 923 US jobs. AI could speed up 27 of the job's 30 tasks, 5 of them on its own, while 3 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which librarians and media collections specialists tasks can AI do?
The most exposed tasks include "Teach library patrons basic computer skills, such as searching computerized databases"; "Code, classify, and catalog books, publications, films, audio-visual aids, and other library materials, based on subject matter or standard library classification systems"; "Explain use of library facilities, resources, equipment, and services, and provide information about library policies".
Which librarians and media collections specialists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Troubleshoot problems with audio-visual equipment"; "Represent library or institution on internal and external committees"; "Train faculty and media staff on the use of software and audio-visual equipment".
Are people already using AI for this work?
Yes. In April–May 2026, 10 of the 30 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as librarians and media collections specialists, and what do they earn?
About 133,790 people in the US, with median pay of $68,270 a year (BLS, May 2025).