# Will library technicians be replaced by AI? Updated October 2026 Library technicians score 53 of 100 for AI exposure. The largest share of their task time, 47%, is work AI speeds up while they stay in charge. AI can take over 26% outright, and 27% stays with people. - **26%** AI can do it - **47%** AI helps - **27%** Needs a person High exposure Higher than 81% of the 923 occupations we scored. ## Task by task We graded 31 tasks, listed here from most to least exposed. AI can do 10 of them today, speeds up 13 and leaves 8 to people. | Task | AI exposure | | --- | --- | | Enter and update patrons' records on computers. Patron record entry is structured data work, easily automated. | 80% AI can do it | | Send out notices about lost or overdue books. Overdue and lost notices are templated letters AI drafts easily. | 80% AI can do it | | Compile data and create statistical reports on library usage. Usage statistics come from system data; report generation is automatable. | 75% AI can do it | | Retrieve information from central databases for storage in a library's computer. Pulling records from central databases is routine digital retrieval. | 75% AI can do it | | Compile and maintain records relating to circulation, materials, and equipment. Circulation and inventory records are structured data AI handles well. | 70% AI can do it | ## How library technicians compare All occupations (923) Educational instruction and library (62) **Library technicians score 53**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 45 for educational instruction and library. ## Pay and outlook in the US Median pay $44,580 a year, May 2025 People employed 68,690 in the US, May 2025 Projected change in jobs \-6.4% from 2024 to 2034 ## Skills to build - Shelve and sort materials in the stacks by procedure - Repair damaged books and audio-visual equipment manually - Verify bibliographic data in library catalogs and databases - Build usage reports in Microsoft Excel for librarians - Maintain circulation and patron records in Microsoft Access ## Safer roles nearby 5 related occupations with lower scores. - [Library assistants49 out of 100](https://www.aigentcy.com/ai-exposure/library-assistants/) - [Stockers30 out of 100](https://www.aigentcy.com/ai-exposure/stockers/) - [Teaching assistants30 out of 100](https://www.aigentcy.com/ai-exposure/teaching-assistants/) - [Librarians50 out of 100](https://www.aigentcy.com/ai-exposure/librarians/) - [Library science professors49 out of 100](https://www.aigentcy.com/ai-exposure/library-science-professors/) ## Questions about library technicians and AI Will AI replace library technicians? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly entering patron records and sending overdue and lost notices. Shelving, repairs, and handling disruptive patrons stay with people because they need hands and live judgement in the building. Which tasks are AI taking from library technicians? Patron record entry, overdue notices, and usage reports are taken over first, each with an exposure score of 75 to 80. Those tasks are structured data work drawn from circulation systems, so AI can generate them from existing records. Verifying author, title, and edition, exposure 70, is mostly catalog lookup. Which tasks stay with library technicians? Delivering items by cart, handling problem patrons, and repairing damaged books score 8 to 10 on exposure. Shelving and organizing periodicals and reference works, exposure 15, needs a person in the stacks to find, handle, and place physical items. How can library technicians stay valuable? Stay responsible for shelving, repair, and floor work that needs a body in the building. Check usage reports in Microsoft Excel before librarians rely on them. Use Adobe Acrobat and Microsoft Access to catch errors in patron and circulation records that automated entries leave behind. ## Related jobs - [File clerks59 out of 100](https://www.aigentcy.com/ai-exposure/file-clerks/) - [Office clerks60 out of 100](https://www.aigentcy.com/ai-exposure/office-clerks/) - [Secretaries66 out of 100](https://www.aigentcy.com/ai-exposure/secretaries/) - [Receptionists62 out of 100](https://www.aigentcy.com/ai-exposure/receptionists/) ## Next steps for library technicians - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.