How AI Is Changing Library Services in 2026

There has been a lot of discussion around AI and what it means for research, education, publishing, and libraries. But when we look at it from the library perspective, there is a more fundamental question: what can AI actually do to help people discover and use knowledge?

We have been working in and around the publishing and information industry for many years, and we’ve gone through several stages of digital transformation. We moved from print to online content, from online databases to more advanced search, and now we’re moving into an environment where people can interact with information using natural language and AI.

The technology has changed. The fundamental need has not.

People still need to find reliable information, understand it, and know where it came from.

AI is changing how people discover information

One of the biggest areas where we’re seeing change is research discovery.

Traditionally, a researcher would go into a library database, enter a few keywords, review the results, refine the search, and continue from there. That process has served researchers for many years, but the amount of scholarly information available today makes discovery increasingly difficult.

There are millions of research articles, books, conference proceedings, theses, and other scholarly resources available across different collections.

AI can help make sense of that complexity.

AI-powered discovery can look at the intent behind a query and the context of what a researcher is trying to find. This can help surface relevant research that may use different terminology or approach the same subject from another discipline.

For libraries, this creates an interesting opportunity.

The systems and collections they have already invested in remain important. AI can sit on top of that infrastructure and give users another way to interact with those resources.

The human element still matters

One thing we always fundamentally say when we talk about any new technology is that we need to look at it as a tool and not as a replacement.

There is always a human element.

That is particularly important when we talk about libraries and research because information is not simply about getting an answer. It’s about understanding where that answer came from.

We’ve seen what can happen when AI systems provide information without enough context. Hallucinations, incorrect citations, outdated information, and questions around the reliability of AI-generated answers have all become part of the conversation.

Trust becomes even more important

When we look at AI and libraries, one of the biggest challenges is trust.

Researchers need to know where information is coming from. They need to be able to follow a reference, check the original source, and understand the evidence behind a claim.

That traceability becomes particularly important when AI is involved.

If an AI system gives you an answer, you need to know what content was used to generate that answer. You need to be able to go back to the source.

This is one of the reasons scholarly content is so important in the development of AI-powered research tools. Academic publishing has established systems around peer review, editorial processes, citations, corrections, and retractions.

Those systems provide an important foundation.

As AI becomes part of the research experience, libraries can help make sure those principles remain part of that experience.

AI can support librarians too

The conversation around AI and libraries is not only about helping researchers.

There are also many opportunities for librarians themselves.

Library teams manage a wide range of activities every day. They support research questions, help users navigate databases, organize information, develop collections, create metadata, provide training, and respond to routine requests.

AI can assist with some of these activities.

It can help users find information more quickly, support common research questions, summarize content, identify key concepts, and make large collections easier to explore.

But again, the human element matters.

A librarian brings professional experience and an understanding of the institution, its users, and its collections. AI can support that expertise and give librarians additional tools to work with.

AI literacy is becoming part of library services

Another important area is AI literacy.

As more researchers and students begin using AI, libraries have an opportunity to help them understand how to use these tools responsibly.

That means teaching people how to evaluate AI-generated information, check references, understand limitations, protect sensitive information, and use AI as part of a wider research process.

This fits naturally with the role libraries have always played.

Libraries have helped people understand how to search, evaluate, and use information for generations. AI introduces another layer to that information environment.

The skills are evolving, but the underlying purpose remains familiar.

Libraries can help make AI more trustworthy

There is a lot of excitement around what AI can do, but there are also legitimate concerns.

What happens to copyrighted content?

How is data being used?

Can users trace an answer back to the original research?

How do we deal with retractions and corrections?

What happens when AI produces an answer that sounds convincing but is wrong?

These are not simply technology questions. They are questions about information.

And that puts libraries in a very interesting position.

Libraries have spent decades building trusted collections and helping people navigate scholarly information. As AI becomes more integrated into research, that expertise can become even more valuable.

The future of AI and libraries will therefore depend on how well technology works alongside the systems, standards, and professional knowledge that already exist.

What does this mean for libraries in 2027?

although it’s only been 3 years, when we look at the future, we are likely still at a relatively early stage

AI is developing very quickly, and we will continue to see new applications for it across research and library services. Some will become genuinely useful. Others may not deliver the value they promise.

For libraries, the important thing is to keep asking the right questions.

Does this help our users discover better information?

Does it make our collections more accessible?

Can users understand where the information comes from?

Does it support librarians and their expertise?

And perhaps most importantly, does it help people make better use of reliable knowledge?

The technology will continue to evolve. Search will continue to evolve. The way people interact with information will continue to evolve.

But the fundamental mission of libraries remains remarkably consistent: helping people find, understand, and use knowledge they can trust.

That is why the conversation around AI and libraries is so important in 2026. AI can change the way people interact with library services, but the principles that make those services valuable remain at the heart of the experience.