AI Librarians Are Coming — And They Might Change How We Read

From Theory to Everyday Practice

Over the past year, the discussion about AI in the cultural sector has shifted from speculation to implementation. Across Russia, libraries are adopting neural networks to automate routine processes like cataloging, data analysis, and even content generation.

For instance, GigaChat — a Russian-developed AI system — is now being used as a personalized literary advisor, helping readers discover new books and genres.

Many institutions report that integrating AI has cut cataloging time dramatically and accelerated text digitization. Rather than debating the pros and cons of automation, libraries are now focused on finding balanced, sustainable ways to integrate intelligent systems into daily operations.

AI Librarians Won’t Replace Humans

Despite growing automation, librarians remain indispensable. Modern libraries in Russia function as cultural hubs — hosting exhibitions, lectures, festivals, and performances. These activities demand human creativity and organizational skills that AI cannot replicate. However, new technologies can significantly lighten the administrative load.

“A well-written post about a brilliant event often gets overlooked — the first thing users notice is the cover image. To create it, you need the right prompt. The more detailed it is, the better the result. For instance, the next ‘Library Night’ is themed around detective fiction. I specify a noir style, a night setting, and a moon. I use the Russian-developed AI ‘Kandinsky,’ which understands complex prompts in Russian and generates excellent visual content.”

Olga Babeshkina

Head of the Regional Center for Information Resources at the Presidential Library in Volgograd

AI can now design event posters without external graphic designers, create illustrations in multiple styles, or even generate educational materials. It can prepare metadata, translate content, or draft workshop outlines and quizzes. These tools free librarians to focus on curating cultural experiences rather than handling repetitive tasks.

The success of AI integration depends not only on technology but also on the institutional culture — a willingness to learn, adapt, and maintain ethical and professional standards while embracing innovation.

A Personalized Reading Assistant

One emerging trend in library services is customization. AI can now recommend reading lists based on mood, subject, or reading level, and even suggest similar titles instantly. This kind of hyper-personalization echoes the recommendation systems used by global streaming platforms but applied to literature.

Digital catalogs and online libraries have already expanded access to collections; AI assistants take it a step further, enabling conversational searches, real-time help, and even data-driven insights into user preferences.

Raising Service Standards Through Technology

AI librarians are expected to become part of Russia’s broader digital infrastructure for cultural services — joining electronic catalogs, online libraries, and digital humanities platforms. Regional and municipal libraries are likely to be the first to adopt them, potentially inspiring similar developments in countries with advanced library systems seeking modernization.

For Russia, the arrival of AI librarians marks a major step in digital transformation within the cultural sector. They could make libraries faster, more efficient, and more relevant to a generation raised on smart technologies. Pilot projects are expected to roll out within one to two years in major regional libraries, followed by national deployment.