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Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

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On this pageHelping people find what they needTeaching people to use — and question — AI toolsChoosing and cataloguing the collectionLending, returns and reservationsKeeping the shelves and stock in orderProgrammes, children and the community
Occupations›Librarian›Tasks, one by one

Librarian — tasks, one by one

The unit of analysis is the task, not the job title. Each one below carries its direction, whether the judgement rests on evidence or on platform inference, the reasoning, and what it does not establish.

Tasks
6
With evidence
0/6
Assessed
2026-09-26
Automating×2Being augmented×2Still human-led×1New task×1

Every task on this page#

Helping people find what they need

Being augmented≈ Platform inference

Questions at the desk, by chat and in classes: working out what someone is really looking for, and where a trustworthy answer is.

AI / software
Why

Search engines and AI assistants now answer many of the quick factual questions that used to come to the desk. What remains is the harder part: working out what someone actually needs, knowing which sources to trust, and checking an answer a tool produced. The work is augmented rather than replaced because a wrong or invented source costs the person who asked, and a librarian is often the one asked to check.

What this does NOT mean

This rests on what search and AI tools can do, not on a count of the questions libraries receive or how that number has changed.

Teaching people to use — and question — AI tools

New task≈ Platform inference

Classes and one-to-one help on how search and AI tools work, how to check what they say, and how to spot an invented citation.

AI / software
Why

Libraries have long taught digital skills; generative AI adds a topic people now bring to the library themselves: how to use these tools and how to tell when they are wrong. It is new work created by the technology, and it draws directly on the reference librarian's habit of checking sources.

What this does NOT mean

This page has no record measuring how many libraries run such classes or how many people come; it is an inference from the direction of the work.

Choosing and cataloguing the collection

Being augmented≈ Platform inference

Deciding what the library buys or licenses, and describing each item so it can be found — subject headings, classification, metadata.

AI / software
Why

Much catalogue data already arrives ready-made from suppliers and shared records, and software can now suggest subject headings and summaries. Choosing what a particular community needs, and deciding when a machine-made description is wrong or misleading, stays with the librarian.

What this does NOT mean

This rests on how cataloguing is done and what tools can suggest, not on a measurement of how much original cataloguing libraries still do.

Lending, returns and reservations

Automating≈ Platform inference

Checking items out and in, handling holds, and keeping the self-service kiosks and return chutes working — work librarians share with, and supervise, library clerks.

RPA / self-serviceRobotics
Why

Borrowing is the part of library work most thoroughly handed to machines: self-checkout kiosks, automated returns and sorting, reservation lockers. In 2023 Singapore's National Library Board opened a fully self-service 'Grab-n-Go' library in a mall, where patrons scan their ID to enter and borrow by walking out through a gantry, after piloting the same system at the National Library building the year before.

What this does NOT mean

The mall library was a six-month pop-up with 5,000 manga titles; it shows the service can run without a desk, not how many libraries now do, and staff still stock, fix and supervise such a space.

Keeping the shelves and stock in order

Automating≈ Platform inference

Shelving, checking shelf order, taking inventory, and removing worn or outdated items.

Robotics
Why

RFID tags let staff take inventory with a handheld reader instead of item by item, and some libraries use robots that scan shelves for misplaced books. Deciding what to remove from a collection is still a judgement about what a community uses.

What this does NOT mean

This rests on what the equipment can do; this page has no dated record of how many libraries use shelf-scanning robots.

Programmes, children and the community

Still human-led≈ Platform inference

Story times, school visits, talks and clubs, help for people who come with a problem rather than a question, and keeping a busy public space calm and orderly.

AI / software
Why

This is the part of the job that is a room full of people: reading to children, running a class, noticing someone who needs a different kind of help. Software can advertise and book these programmes; running them, and judging who needs what, is done by staff.

What this does NOT mean

This rests on the nature of the work, not on a measurement of attendance or of how staff time is divided.

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