Will AI replace Library Assistants, Clerical?

Not as a job, but it is already doing parts of the work. Across the 32 official task statements scored for Library Assistants, Clerical (United States, SOC 43-4121), 23% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 31 out of 100 (range 26–36, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Library Assistants, Clerical” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Enter and update patrons' records on computers” (93/100, very high); “Review records, such as microfilm and issue cards, to identify titles of overdue materials and delinquent borrowers” (93/100, very high); “Prepare library statistics reports” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Library Assistants, Clerical” stay human?

About 71% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Repair books using mending tape, paste, and brushes or prepare books to be sent to a bindery for repair” (0/100, minimal); “Open and close library during specified hours and secure library equipment, such as computers and audio-visual equipment” (0/100, minimal); “Deliver and retrieve items to and from departments by hand or using push carts” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Library Assistants, Clerical” do about AI?

Start from the ledger rather than the headline: 23% of this job's weighted core work is exposed, and roughly 71% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Library Assistants, Clerical calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 32 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Library Assistants, Clerical

sorting books, maintaining records of items and performing clerical activities. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: entering and updating patrons' records on computers. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 23%
changing shape: 6%
staying human: 71%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 31 out of 100 (26–36 allowing for uncertainty): low exposure, across 32 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for library assistants, clerical is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

That slice is not coming back; the core of the job, sorting books, publications and other items according to established procedure and returning them to shelves, files or other designated storage areas, stays yours. The tools change, the responsibility doesn't.

Your week, as this page understands it

Compile records, and sort, shelve, issue, and receive library materials such as books, electronic media, pictures, cards, slides and microfilm. Locate library materials for loan and replace material in shelving area, stacks, or files according to identification number and title. Register patrons to permit them to borrow books, periodicals, and other library materials. The job title says “library assistants” or “clerical”: officially one job, two names. The real job is the part underneath: sorting books, publications and other items according to established procedure and returning them to shelves, files or other designated storage areas. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But library assistants, clerical is not one task. It is 32 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is sorting books, publications and other items according to established procedure and returning them to shelves, files or other designated storage areas, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 23%
changing shape: 6%
staying human: 71%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

9 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Entering and updating patrons' records on computers
This is reading one thing and writing another: patrons' records in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Enter and update patrons' records on computers.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Entering and updating patron records is routine computer work that software does quickly and accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing records, such as microfilm and issuing cards, to identify titles of overdue materials and delinquent borrowers
This is reading one thing and writing another: records in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Review records, such as microfilm and issue cards, to identify titles of overdue materials and delinquent borrowers.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pulling overdue titles and delinquent borrowers out of the records is a routine database query software runs instantly.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining records of items
This is reading one thing and writing another: records of items in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Maintain records of items received, stored, issued, and returned and file catalog cards according to system used.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping records of items received, issued and returned is database work software does well; paper cards still need filing.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing, storing and retrieving classification and catalog information, lecturing notes or other information related to stored documents
This is reading one thing and writing another: classification in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare, store, and retrieve classification and catalog information, lecture notes, or other information related to stored documents, using computers.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Storing and retrieving catalog and classification information on computers is exactly what software is built for.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.

Changing shape

2 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Answering routine inquiries and referring patrons in need of professional assistance to librarians
The software now makes the first pass at routine inquiries, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Answer routine inquiries and refer patrons in need of professional assistance to librarians.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Routine questions are already answered well by automated help, though some patrons still want a person at the desk.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Performing accounting and bookkeeping activities
The software now makes the first pass at activities, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Perform accounting and bookkeeping activities, such as invoicing, maintaining financial records, budgeting, and handling cash.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Invoicing, records and budgeting are standard bookkeeping software does well; cash handling still needs a person.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Staying human

21 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Sorting books, publications and other items according to established procedure and returning them to shelves, files or other designated storage areas
This work happens in the physical world: books, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Sort books, publications, and other items according to established procedure and return them to shelves, files, or other designated storage areas.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Putting books back on shelves is physical work moving objects around a building.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Locating library materials
This work happens in the physical world: library materials, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures.” (O*NET task statement)
How this row was scored
Exposure score: 12 out of 100 (8–16 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Finding a title in the catalog is easy for software, but fetching it off the shelf is not.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Opening and closing library during specified hours and securing library equipment
This work happens in the physical world: library during specified hours, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Open and close library during specified hours and secure library equipment, such as computers and audio-visual equipment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Opening, closing and securing the building requires someone physically there.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Managing reserve materials by placing items on reserve for library patrons
This work happens in the physical world: reserve materials, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Manage reserve materials by placing items on reserve for library patrons, checking items in and out of library, and removing out-of-date items.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Placing items on reserve and checking them in and out means handling the physical items.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Show the other 22 tasks

Preparing library statistics reports
shifting to AI
This is reading one thing and writing another: library statistics reports in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Prepare library statistics reports.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Statistics reports are built from library system data, which software compiles quickly and accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Classifying and cataloging items according to content and purpose
shifting to AI
This is reading one thing and writing another: items in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Classify and catalog items according to content and purpose.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Classifying and cataloging items follows published standards with plenty of reference examples, which software applies well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Designing or maintaining library web site and online catalogues
shifting to AI
This is reading one thing and writing another: library web site in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Design or maintain library web site and online catalogues.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Building and maintaining a library website and online catalog is computer work with abundant reference material.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Acquiring books, pamphlets, periodicals
shifting to AI
This is reading one thing and writing another: books, pamphlets, periodicals in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Acquire books, pamphlets, periodicals, audio-visual materials, and other library supplies by checking prices, figuring costs, and preparing appropriate order forms and facilitating the ordering process by providing such information to others.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checking prices, costing and preparing order forms is routine paperwork software handles, with a person confirming the choices.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Selecting substitute titles when requested materials are unavailable
shifting to AI
This is reading one thing and writing another: substitute titles in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Select substitute titles when requested materials are unavailable, following criteria such as age, education, and interests.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Suggesting a substitute title based on age, reading level and interests is recommendation work software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Registering new patrons and issuing borrower identification cards that permit patrons to borrow books and other materials
staying human
This work happens in the physical world: new patrons, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Register new patrons and issue borrower identification cards that permit patrons to borrow books and other materials.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Registering a patron is a database task, though handing over a printed card happens in person.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Sending out notices and accept fine payments for lost or overdue books
staying human
This work happens in the physical world: notices, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Send out notices and accept fine payments for lost or overdue books.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Overdue notices send themselves automatically, but taking a fine payment at the desk involves a person.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Instructing patrons on how to use reference sources
staying human
The value here is that a specific person handles patrons and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Instruct patrons on how to use reference sources, card catalogs, and automated information systems.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Showing patrons how to use catalogs and databases works best with someone beside them at the screen.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Performing clerical activities, such as answering phones, sorting mail, filing, typing, word processing and photocopying and mailing out material
staying human
This work happens in the physical world: clerical activities, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform clerical activities, such as answering phones, sorting mail, filing, typing, word processing, and photocopying and mailing out material.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Typing, word processing and filing suit software, but phones, photocopying and mail still need a person in the office.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Scheduling, supervising and training clerical workers, volunteers, student assistants and other library employees
staying human
The value here is that a specific person handles clerical workers, volunteers and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Schedule, supervise, and train clerical workers, volunteers, student assistants, and other library employees.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (17–25 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Rotas can be drafted by software, but supervising and training volunteers and student staff depends on a working relationship.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Inspecting returned books for condition and due-date status and computing any applicable fines
staying human
This work happens in the physical world: returned books, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect returned books for condition and due-date status and compute any applicable fines.” (O*NET task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Fines are calculated automatically, but judging a returned book condition needs someone holding it.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Processing new materials, books, audio-visual materials and computer software
staying human
This work happens in the physical world: new materials, books, audio-visual materials and computer software, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Process new materials including books, audio-visual materials, and computer software.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Processing new books and media means unpacking, labelling and handling physical items.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining library equipment, such as photocopiers, scanners and computers and instructing patrons in proper use of such equipment
staying human
This work happens in the physical world: library equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain library equipment, such as photocopiers, scanners, and computers, and instruct patrons in proper use of such equipment.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Keeping copiers and computers working and showing patrons how to use them means being there with the machine.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Lending reserve and collecting books, periodicals, videotapes and other materials at circulation desks and processing materials for inter-library loans
staying human
This work happens in the physical world: reserve, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Lend, reserve, and collect books, periodicals, videotapes, and other materials at circulation desks and process materials for inter-library loans.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Lending and collecting books at a desk involves handling items and people in the building.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning or participating in library events and programs
staying human
This work happens in the physical world: library events, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Plan or participate in library events and programs, such as story time with children.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Story time and library events are planned on paper but happen with real people in a room.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Providing assistance to librarians in the maintenance of collections of books
staying human
This work happens in the physical world: assistance, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Provide assistance to librarians in the maintenance of collections of books, periodicals, magazines, newspapers, and audio-visual and other materials.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Helping maintain the physical collection is hands-on work with shelves and materials.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Assisting in the preparation of book displays
staying human
This work happens in the physical world: the preparation of book displays, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Assist in the preparation of book displays.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Building a book display means arranging real books on real furniture.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Taking action to deal with disruptive or problem patrons
staying human
This work happens in the physical world: action, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Take action to deal with disruptive or problem patrons.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Handling a disruptive patron requires someone physically present who can manage the situation.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Operating small branch libraries, under the direction of off-site librarian supervisors
staying human
This work happens in the physical world: small branch libraries, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Operate small branch libraries, under the direction of off-site librarian supervisors.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Running a branch library means someone being in the building all day.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Operating and maintaining audio-visual equipment
staying human
This work happens in the physical world: audio-visual equipment, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Operate and maintain audio-visual equipment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Setting up and maintaining audio-visual equipment is hands-on work with hardware.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Delivering and retrieving items to and from departments by hand or using push carts
staying human
This work happens in the physical world: items, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Deliver and retrieve items to and from departments by hand or using push carts.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Delivering items by hand or cart between departments is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Repairing books using mending tape
staying human
This work happens in the physical world: books, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Repair books using mending tape, paste, and brushes or prepare books to be sent to a bindery for repair.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Mending books with tape and paste is manual repair work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $36,910a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 85,520in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: patrons' records in, a record out. The rows above are exactly that shape: entering and updating patrons' records on computers and reviewing records. What it cannot do is be there in the room, and that is still where books get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Your week is splitting in two, and which half fills it is the whole question. Entering and updating patrons' records on computers is going; sorting books, publications and other items according to established procedure and returning them to shelves, files or other designated storage areas is not.

So, given all that: 23% of this job's task weight sits in rows the software is already learning, 6% in rows that change shape rather than disappear, and 71% in rows it is nowhere near. That is the position, measured across 32 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (sorting books, publications and other items according to established procedure and returning them to shelves, files or other designated storage areas) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles sorting books, publications and other items according to established procedure and returning them to shelves, files or other designated storage areas, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to library assistants, clerical (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was library technicians: only about 26% of its durable work is work you already do. And on the numbers you do not need one. This job scores 31/100 here, with only 23% of the task list in the top band, and “sort books, publications, and other items according to established procedure and return…” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Library Technicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already sort books, publications, and other items according to established procedure and return them…, and their equivalent is to catalogue and sort books and other print and non-print materials according to procedure…. Across both published task lists that is about 26% of the durable work in that job.
Why I am not recommending it: It is closer than most, and still not close enough: about 26% of that job's durable work is already yours, against the 35% I want to see before I will call something a route.
Look at that job’s page anyway →
Librarians and Media Collections Specialists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already operate and maintain audio-visual equipment, and their equivalent is to troubleshoot problems with audio-visual equipment. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Office Clerks, General
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already maintain library equipment, and their equivalent is to operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems…. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 23% of its task weight, across 32 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Library clerks and assistants is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

In UK official statistics this job is counted as Library clerks and assistants. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for library assistants / clerical, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 23% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for library assistants / clerical. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for library assistants / clerical launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for library assistants / clerical yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for library assistants / clerical existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for library assistants / clerical launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Library Assistants, Clerical?: Not as a job, but it is already doing parts of the work. Across the 32 official task statements scored for Library Assistants, Clerical (United States, SOC 43-4121), 23% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 31 out of 100 (range 26–36, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Library Assistants, Clerical” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Enter and update patrons' records on computers” (93/100, very high); “Review records, such as microfilm and issue cards, to identify titles of overdue materials and delinquent borrowers” (93/100, very high); “Prepare library statistics reports” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Library Assistants, Clerical” stay human?: About 71% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Repair books using mending tape, paste, and brushes or prepare books to be sent to a bindery for repair” (0/100, minimal); “Open and close library during specified hours and secure library equipment, such as computers and audio-visual equipment” (0/100, minimal); “Deliver and retrieve items to and from departments by hand or using push carts” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Library Assistants, Clerical” do about AI?: Start from the ledger rather than the headline: 23% of this job's weighted core work is exposed, and roughly 71% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Library Assistants, Clerical calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 32 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

How we score a job Download this release Look up another job

Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.