Will AI replace Library Technicians?

Not as a job, but it is already doing parts of the work. Across the 31 official task statements scored for Library Technicians (United States, SOC 25-4031), 31% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 41 out of 100 (range 37–46, band: partial). 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 Technicians” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Compose explanatory summaries of contents of books and other reference materials” (100/100, very high); “Enter and update patrons' records on computers” (93/100, very high); “Retrieve information from central databases for storage in a library's computer” (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 Technicians” stay human?

About 64% 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: “Sort and deliver library mail and packages” (0/100, minimal); “Check for damaged library materials, such as books or audio-visual equipment, and provide replacements or make repairs” (0/100, minimal); “Operate and maintain audio-visual equipment, such as projectors, tape recorders, and videocassette recorders” (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 Technicians” do about AI?

Start from the ledger rather than the headline: 31% of this job's weighted core work is exposed, and roughly 64% 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 Technicians 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 31 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 Technicians

reserving circulate, renew and discharge books and other materials, taking actions to halt disruption of library activities by problem patrons and reviewing subject matter of materials to be classified and selecting classification numbers and headings according to classification systems. 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: 31%
changing shape: 4%
staying human: 64%

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

Whole-job exposure score 41 out of 100 (37–46 allowing for uncertainty): partial exposure, across 31 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 technicians 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, delivering and retrieving items throughout the library by hand or using pushcart, stays yours. The tools change hands, the accountability doesn't.

Your week, as this page understands it

Assist librarians by helping readers in the use of library catalogs, databases, and indexes to locate books and other materials; and by answering questions that require only brief consultation of standard reference. Compile records; sort and shelve books or other media; remove or repair damaged books or other media; register patrons; and check materials in and out of the circulation process. Replace materials in shelving area (stacks) or files. Includes bookmobile drivers who assist with providing services in mobile libraries. The job title says “library technicians”. The real job is the part underneath: delivering and retrieving items throughout the library by hand or using pushcart. 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 technicians is not one task. It is 31 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is delivering and retrieving items throughout the library by hand or using pushcart, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 31%
changing shape: 4%
staying human: 64%

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.

One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
4 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

12 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.
Compiling and maintaining records relating
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: “Compile and maintain records relating to circulation, materials, and equipment.” (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: Compiling circulation and equipment records is standard reporting from data the system already holds.
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.
Conducting reference searches, using printed materials and in-house and online databases
This is reading one thing and writing another: reference searches in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Conduct reference searches, using printed materials and in-house and online databases.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): 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: Searching databases for references is a search task software does faster and more thoroughly than a person.
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.
Compiling data and creating statistical reports on library usage
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Compile data and create statistical reports on library usage.” (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: Turning issue figures into usage reports is spreadsheet work that reporting tools already generate on their own.
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.
Sending out notices about lost or overdue books
This is reading one thing and writing another: notices in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Send out notices about lost or overdue books.” (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: Overdue reminders are generated and emailed automatically by library systems without anyone writing them.
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.

Changing shape

1 task

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 telephone or in-person reference inquiries
The software now makes the first pass at routine telephone, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Answer routine telephone or in-person reference inquiries, referring patrons to librarians for further assistance, when necessary.” (O*NET task statement)
How this row was scored
Exposure score: 59 out of 100 (55–63 allowing for uncertainty): partial 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: Routine reference questions are already answered well by search assistants and chat systems.
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 1/4 · how much data exists 3/4.

Staying human

18 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.

Helping patrons find and using library resources
This work happens in the physical world: patrons find, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Help patrons find and use library resources, such as reference materials, audio-visual equipment, computers, and other electronic resources and provide technical assistance when needed.” (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: Software answers many resource questions, but helping someone use a computer or find a shelf 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.
Reserving circulate, renew and discharge books and other materials
This work happens in the physical world: circulate, renew and discharge books and other materials, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Reserve, circulate, renew, and discharge books and other materials.” (O*NET task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 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: Self-service checkout already does the transaction; handing physical items across a desk still needs a person.
The five ratings: output a model can produce 4/4 · 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.
Delivering and retrieving items throughout the library by hand or using pushcart
This work happens in the physical world: items throughout the library, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Deliver and retrieve items throughout the library by hand or using pushcart.” (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: Wheeling items around the library is physical work on the floor.
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.
Maintaining and troubleshooting problems with library equipment
This work happens in the physical world: problems, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain and troubleshoot problems with library equipment, including computers, photocopiers, and audio-visual equipment.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (10–18 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: Fixing photocopiers, computers and audio-visual gear means being at the machine with tools.
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 0/4 · how much data exists 3/4.

Show the other 21 tasks

Composing explanatory summaries of contents of books and other reference materials
shifting to AI
This is reading one thing and writing another: explanatory summaries of contents of books in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Compose explanatory summaries of contents of books and other reference materials.” (O*NET task statement)
How this row was scored
Exposure score: 100 out of 100 (96–100 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: Summarizing what a book or reference work contains is the clearest example of something these tools do very well.
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 4/4.
Retrieving information from central databases for storage in a library's computer
shifting to AI
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Retrieve information from central databases for storage in a library's computer.” (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 records from a central database into the library system is routine automated data transfer.
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.
Compiling bibliographies and preparing abstracts on subjects of interest to particular organizations or groups
shifting to AI
This is reading one thing and writing another: bibliographies in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Compile bibliographies and prepare abstracts on subjects of interest to particular organizations or groups.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (86–100 allowing for uncertainty): very 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: Compiling reading lists and writing abstracts for a particular group is drafting work software does well.
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.
Ordering all print and non-print library materials
shifting to AI
This is reading one thing and writing another: all print in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Order all print and non-print library materials, checking prices, figuring costs, preparing order slips, and making payments.” (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: Ordering materials, checking prices and preparing payments is routine purchasing admin software handles.
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.
Claiming missing issues of periodicals and journals
shifting to AI
This is reading one thing and writing another: issues of periodicals in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Claim missing issues of periodicals and journals.” (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: Claiming missing journal issues is a standard automated step in library systems.
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.
Verifying bibliographical data
shifting to AI
This is reading one thing and writing another: bibliographical data in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Verify bibliographical data for materials, including author, title, publisher, publication date, and edition.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): 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: Bibliographic details are abundantly available and easy to check automatically.
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 4/4.
Reviewing subject matter of materials to be classified and selecting classification numbers and headings according to classification systems
shifting to AI
This is reading one thing and writing another: subject matter of materials in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Review subject matter of materials to be classified and select classification numbers and headings according to classification systems.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): 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: Classification systems are fully written down, so choosing subject headings and numbers suits software well.
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 4/4.
Processing interlibrary loans for patrons
staying human
This work happens in the physical world: interlibrary loans, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Process interlibrary loans for patrons.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 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: The request and tracking side is standard software work; packing and posting the item is not.
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 0/4 · how much data exists 3/4.
Designing posters and special displays to promote use of library facilities or specific reading programs at libraries
staying human
This work happens in the physical world: posters, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Design posters and special displays to promote use of library facilities or specific reading programs at libraries.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 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: Design tools produce good poster artwork, but building and setting up a physical display is manual.
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 0/4 · how much data exists 3/4.
Providing assistance to teachers and students by locating materials and helping to complete special projects
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 teachers and students by locating materials and helping to complete special projects.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 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 value is that a specific person does it.
The rating behind it: Software can find sources fast, but helping a student through a project usually happens side by side.
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 2/4 · how much data exists 3/4.
Cataloguing and sorting books and other print and non-print materials according to procedure and returning them
staying human
This work happens in the physical world: books, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Catalogue and sort books and other print and non-print materials according to procedure and return them to shelves, files, or other designated storage areas.” (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 same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Deciding the catalog number is easy for software; putting the books back on the right shelves is not.
The five ratings: output a model can produce 3/4 · 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 4/4.
Collecting fines and responding to complaints about fines
staying human
This work happens in the physical world: fines, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Collect fines and respond to complaints about 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 value is that a specific person does it.
The rating behind it: Automated payment handles the fine itself, but a person usually deals with the complaint at the desk.
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 2/4 · how much data exists 3/4.
Training other staff, volunteers or student assistants and scheduling and supervising their work
staying human
This work happens in the physical world: other staff, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Train other staff, volunteers, or student assistants and schedule and supervise their work.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 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: Training and supervising volunteers and student staff depends on being present and on the working relationship.
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 2/4 · how much data exists 2/4.
Processing print and non-print library materials to prepare them for inclusion in library collections
staying human
This work happens in the physical world: print, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Process print and non-print library materials to prepare them for inclusion in library collections.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal 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: The catalog record is easy to produce, but labeling and covering physical items is done by hand.
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 0/4 · how much data exists 3/4.
Organizing and maintaining periodicals and reference materials
staying human
This work happens in the physical world: periodicals, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Organize and maintain periodicals and reference materials.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (10–18 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: Keeping periodicals in order means physically arranging them on the shelves.
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 0/4 · how much data exists 3/4.
Issuing identification cards to borrowers
staying human
This work happens in the physical world: identification cards, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Issue identification cards to borrowers.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (0–19 allowing for uncertainty): minimal exposure, medium confidence, and it moved between repeat runs, so the range is widened.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: The account is created on screen, but printing and handing over the card happens at the counter.
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 and conducting children's programs
staying human
This work happens in the physical world: children's programs, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Plan and conduct children's programs, community outreach programs, and other specialized programs, such as library tours.” (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: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Planning a program is easy to draft, but running story time or a tour depends on a person with the group.
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 3/4 · how much data exists 3/4.
Taking actions to halt disruption of library activities by problem patrons
staying human
This work happens in the physical world: actions, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Take actions to halt disruption of library activities by problem patrons.” (O*NET task statement)
How this row was scored
Exposure score: 1 out of 100 (0–5 allowing for uncertainty): minimal exposure, high 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: Calming or removing a disruptive visitor depends entirely on a person being there and handling it.
The five ratings: output a model can produce 0/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.
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 3 · Supplemental
Source: “Operate and maintain audio-visual equipment, such as projectors, tape recorders, and videocassette recorders.” (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: Operating and maintaining projectors and recorders means hands on the equipment.
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.
Checking for damaged library materials
staying human
This work happens in the physical world: damaged library materials, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Check for damaged library materials, such as books or audio-visual equipment, and provide replacements or make repairs.” (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: Spotting damage and repairing or replacing items means physically handling them.
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.
Sorting and delivering library mail and packages
staying human
This work happens in the physical world: library mail, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Sort and deliver library mail and packages.” (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: Sorting and carrying mail and parcels around the building 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 1/4.

What this job pays, and how many people do it

Median pay: $44,580a 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: 68,690in 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 compiling and maintaining records relating. What it cannot do is be there in the room, and that is still where items throughout the library gets 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; delivering and retrieving items throughout the library by hand or using pushcart is not.

So, given all that: 31% of this job's task weight sits in rows the software is already learning, 4% in rows that change shape rather than disappear, and 64% in rows it is nowhere near. That is the position, measured across 31 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 (delivering and retrieving items throughout the library by hand or using pushcart) 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 delivering and retrieving items throughout the library by hand or using pushcart, 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 technicians (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was library assistants, clerical: only about 26% of its durable work is work you already do and it pays 17.2% less. Your own job splits about 31/69: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “help patrons find and use library resources”, and let the exposed end go.

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 Assistants, Clerical
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already catalogue and sort books and other print and non-print materials according to procedure…, and their equivalent is to sort books, publications, and other items according to established procedure and return them…. 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. It is a pay cut, in those words: $36,910 against your $44,580, 17.2% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
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 check for damaged library materials, and their equivalent is to check books in and out of the library. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Word Processors and Typists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already process print and non-print library materials to prepare them for inclusion in library…, and their equivalent is to print and make copies of work. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 67% of its own task list already scores in the top exposure band (68/100 in this release), so the same software is eating it.
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: 31% of its task weight, across 31 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 technicians, 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 31% 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 technicians. 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 technicians 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 technicians 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 technicians 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 technicians 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 Technicians?: Not as a job, but it is already doing parts of the work. Across the 31 official task statements scored for Library Technicians (United States, SOC 25-4031), 31% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 41 out of 100 (range 37–46, band: partial). 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 Technicians” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Compose explanatory summaries of contents of books and other reference materials” (100/100, very high); “Enter and update patrons' records on computers” (93/100, very high); “Retrieve information from central databases for storage in a library's computer” (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 Technicians” stay human?: About 64% 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: “Sort and deliver library mail and packages” (0/100, minimal); “Check for damaged library materials, such as books or audio-visual equipment, and provide replacements or make repairs” (0/100, minimal); “Operate and maintain audio-visual equipment, such as projectors, tape recorders, and videocassette recorders” (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 Technicians” do about AI?: Start from the ledger rather than the headline: 31% of this job's weighted core work is exposed, and roughly 64% 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 Technicians 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 31 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

About the data on this page

One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
4 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.