AI Resilience Report forLibrarians and Media Collections Specialists

If you've ever asked ChatGPT a question instead of looking something up in a book, you've already glimpsed why librarians are paying close attention to AI. Right now, the technology is mostly augmenting the work rather than replacing it. According to Library Journal, public libraries are increasingly using AI to assist patrons in retrieving information from catalogs, databases, and digital collections, and to answer common questions and direct patrons to appropriate resources.

Library tech vendors have also begun automating cataloging — one of the field's most time-consuming tasks — and the Public Library Association even launched a Transformative Technology Task Force in late 2025 to advise on the evolving role and impacts of transformative technology on library work. The bigger trend, though, is that librarians are becoming the teachers of AI. A new report from the Association of Research Libraries argues that libraries should leverage their unique collections — special collections, digitized archives, and curated datasets — as assets that commercial AI systems cannot easily replicate, presenting opportunities to inform or train local AI models.

School librarians are stepping into a similar role, since AI hallucinates, overrelies on AI outputs are common, and inherited biases mean critical AI literacy extends beyond technical proficiency to critically assessing the generated output and applying it responsibly.

Adoption will likely be steady but careful rather than explosive. The economic case is real: AI tools can speed up cataloging, reference questions, and metadata work, which matters because the U.S. Bureau of Labor Statistics projects just 2% job growth for librarians and library media specialists from 2024 to 2034 ^[1] — slower than average — meaning libraries are looking for ways to do more with the same small staff. At the same time, libraries are uniquely cautious because of their values.

Many libraries are framing AI policy as a living document requiring regular audits, listing low-risk uses like brainstorming, summarizing reports, and drafting emails as acceptable, while explicitly prohibiting deepfakes, patron surveillance, or hiring decisions. Budgets, privacy laws, and patron trust slow things down, but professional bodies are pushing forward — the American Association of School Librarians frames librarians as "information specialists" who teach communities to find, use, and evaluate information ^[2], a role that becomes more important when AI gives confidently wrong answers. The bottom line for students considering this career: the routine "look it up" tasks are getting automated, but the human skills — teaching, ethical judgment, curation, and helping people think critically — are exactly what the AI era needs more of.