AI Resilience Report forLibrary Assistants, Clerical

If you've ever used a self-checkout kiosk at your local library, you've already seen automation in action — and AI is now handling more of the behind-the-scenes work that clerical library assistants do. According to the U.S. Bureau of Labor Statistics ^[1], overall employment of library technicians and assistants is projected to decline 6 percent from 2025 to 2035, partly because software is taking over routine record-keeping. In practice, libraries are already using AI for cataloguing, metadata creation, user services, and resource suggestions ^[2], with tools like ChatGPT-based Dewey Decimal classifiers helping tag large collections and virtual chatbots answering simple reference questions 24/7.

That maps directly onto the highest-automation tasks in your role: preparing statistics, managing catalog information, and reviewing overdue records. But librarians are pushing for careful, human-centered use. In July 2026, the American Library Association Council adopted "Guidance on the Use of Artificial Intelligence in Libraries," a resource to help libraries develop policies for ethical, human-centered use of AI ^[3].

And at ALA's 2026 conference, Chicago Public Library's technology director reminded colleagues that in reference services, "AI doesn't have the skills of a human, and it doesn't have the judgment of a librarian" ^[4] — meaning tasks like helping confused patrons, calming disruptive visitors, and repairing damaged books remain firmly human.

Adoption is moving quickly on the paperwork side but slowly on the people side. Cheap, off-the-shelf tools make automating clerical work attractive: McKinsey estimates that today's technologies could theoretically automate more than half of current US work hours, though adoption will take time ^[5]. At the same time, a Library Journal panel warned that AI raises ^[6] problems, risks, and opportunities that should be addressed proactively, which is slowing rollout in libraries that care deeply about privacy, accuracy, and equal access.

Tight public budgets are a double-edged sword — they can push libraries to automate reports and overdue notices, but they also limit spending on new AI systems and staff training. Labor-market conditions matter too: Brookings researchers found that 6.1 million workers ^[7], primarily in clerical and administrative roles, lack adaptive capacity due to limited savings, advanced age, scarce local opportunities, and/or narrow skill sets ^[7], which is why unions and professional groups are advocating for reskilling rather than replacement. The good news: the parts of your job that require empathy, judgment, and physical presence — helping a nervous kid find their first novel, calming a frustrated patron, repairing a beloved picture book — are exactly the skills AI struggles with.

If you lean into people skills and learn to supervise AI tools rather than compete with them, you'll be positioned to grow with this changing field.