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Library Assistants, Clerical

Occupation · SOC 43-4121.00

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.

Also called: Library Aide · Library Assistant · Library Circulation Assistant · Library Clerk · Acquisitions Assistant · Cataloging Assistant · Library Associate · Library Clerical Assistant · Library Services Assistant · Access Services Assistant · Administrative Library Assistant · Book Sorter

Job family: Office and Administrative Support Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-43-4121-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures. · 5.1%
  • Classify and catalog items according to content and purpose. · 0.8%
See how AI is used here →

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Instruct patrons on how to use reference sources, card catalogs, and automated information systems. · 0.4%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures. · 99.4% need a human
  • Instruct patrons on how to use reference sources, card catalogs, and automated information systems. · 97.4% need a human
  • Classify and catalog items according to content and purpose. · 96.0% need a human
See the boundary tasks →

54th-percentile task overlap — yet about 12,800 openings a year (-6.7% projected, BLS), and observed AI use leans 4154% copilot, not hand-off (AEI) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 54th 0.2
LLM task exposure, γ (OpenAI / Eloundou) Moderate 59th 0.7
AI assistant applicability (Microsoft) Moderate 51st 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.5), and including AI-powered software (γ 0.7). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.9 · 89th percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures. 9.3%
Perform accounting and bookkeeping activities, such as invoicing, maintaining financial records, budgeting, and handling cash. 1.1%
Prepare, store, and retrieve classification and catalog information, lecture notes, or other information related to stored documents, using computers. 0.8%
Classify and catalog items according to content and purpose. 0.6%
Instruct patrons on how to use reference sources, card catalogs, and automated information systems. 0.4%
Operate and maintain audio-visual equipment. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -6.7% by 2034
Projected annual openings 12,800
Employment 2024 → 2034 84,500 → 78,900

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

46% mean task exposure (2025)
84th percentile of 427 placed occupations
+6 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Library Clerks · 4411 46% Gradient 2

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 41.5% working with AI · 52.4% handed to AI
Most common way people use AI here Directive · AI does it; you give the instruction
Typical AI autonomy 3.0 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 14.7%

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures. Directive 5.1%
Classify and catalog items according to content and purpose. Directive 0.8%
Instruct patrons on how to use reference sources, card catalogs, and automated information systems. Learning 0.4%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures. 99.4%
Instruct patrons on how to use reference sources, card catalogs, and automated information systems. 97.4%
Classify and catalog items according to content and purpose. 96.0%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures.

    From: Locate library materials for patrons, including books, periodicals, tape cassettes, Braille volumes, and pictures. · 5.1% of measured AI use · directive

  • Help me classify and catalog items according to content and purpose.

    From: Classify and catalog items according to content and purpose. · 0.8% of measured AI use · directive

  • Help me instruct patrons on how to use reference sources, card catalogs, and automated information systems.

    From: Instruct patrons on how to use reference sources, card catalogs, and automated information systems. · 0.4% of measured AI use · learning

Tasks

All 33 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Hire library staff such as student assistants.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 3.7
Administrative 3.7
English Language 3.6
Education and Training 3.0
Psychology 3.0
Computers and Electronics 3.0
Public Safety and Security 2.9

Abilities

Written Comprehension 3.6
Oral Expression 3.6
Oral Comprehension 3.4
Information Ordering 3.4
Near Vision 3.3
Problem Sensitivity 3.1
Speech Recognition 3.1
Speech Clarity 3.1
Written Expression 3.0
Category Flexibility 3.0
Perceptual Speed 3.0
Selective Attention 3.0
Deductive Reasoning 2.9
Inductive Reasoning 2.9
Time Sharing 2.9
Flexibility of Closure 2.8
Trunk Strength 2.6
Far Vision 2.6
Memorization 2.5

Transferable skills

Service Orientation 3.4
Coordination 3.0
Social Perceptiveness 2.9
Complex Problem Solving 2.9
Time Management 2.9
Instructing 2.8
Judgment and Decision Making 2.8

Essential skills

Reading Comprehension 3.3
Active Listening 3.3
Writing 3.0
Speaking 3.0
Critical Thinking 3.0
Monitoring 2.9
Learning Strategies 2.5

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 43.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Adobe Photoshop Graphics or photo imaging software Hot technology
C++ Object or component oriented development software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Automated circulation systems Library software
Cataloging software Library software
Database software Data base user interface and query software
Microsoft Publisher Desktop publishing software
Online Computer Library Center (OCLC) databases Library software
Recordkeeping software Data base user interface and query software
ResourceMate Plus Library software
Video retrieval systems Information retrieval or search software
Web browser software Internet browser software
WorldCat Library software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Face-to-Face Discussions with Individuals and Within Teams 4.8
E-Mail 4.8
Telephone Conversations 4.6
Contact With Others 4.5
Indoors, Environmentally Controlled 4.4
Work With or Contribute to a Work Group or Team 4.3
Importance of Being Exact or Accurate 4.2
Determine Tasks, Priorities and Goals 4.0
Physical Proximity 3.9
Frequency of Decision Making 3.9
Freedom to Make Decisions 3.9
Deal With External Customers or the Public in General 3.8
Importance of Repeating Same Tasks 3.7
Spend Time Making Repetitive Motions 3.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.5
Impact of Decisions on Co-workers or Company Results 3.5
Written Letters and Memos 3.4
Time Pressure 3.4
Coordinate or Lead Others in Accomplishing Work Activities 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.1
Conflict Situations 3.1
Spend Time Sitting 3.1
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.0
Public Speaking 2.8
Spend Time Standing 2.8
Spend Time Bending or Twisting Your Body 2.8
Work Outcomes and Results of Other Workers 2.7
Health and Safety of Other Workers 2.6
Spend Time Walking or Running 2.5
Level of Competition 2.4
Exposed to Disease or Infections 2.4
Degree of Automation 2.3
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.0
Exposed to Contaminants 1.9
Indoors, Not Environmentally Controlled 1.7
Exposed to Minor Burns, Cuts, Bites, or Stings 1.6
Consequence of Error 1.6
Pace Determined by Speed of Equipment 1.5
Outdoors, Exposed to All Weather Conditions 1.4

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 49.8%
Some College Courses 14.1%
Associate's Degree (or other 2-year degree) 12.1%
Post-Secondary Certificate 10.7%
Less than a High School Diploma 8.6%
Bachelor's Degree 4.6%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Conventional 6.9
Social 3.8
Realistic 2.9
Enterprising 2.2
Investigative 2.0

Interest areas

Office Work 5.8
Personal Service 2.9
Teaching/Education 2.4
Humanities 2.0
Social Service 1.8
Physical/Manual Labor 1.8
Information Technology 1.8
Management/Administration 1.7

Work styles

Dependability 3.0
Attention to Detail 2.4
Cooperation 2.1

Wages & employment

U.S. · annual wages (BLS OEWS)

$25k10th$30k25th$36kMedian$44k75th$53k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
85k202479k2034 (proj.)-6.7% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $25,090
25th percentile $30,190
Median (50th) $36,010
75th percentile $44,200
90th percentile $52,790
People employed 80,070

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Educational Services · Sector 21,090 $36,880
Information · Sector 7,760 $33,900
Other Services (except Public Administration) · Sector 160 $37,490
Administrative and Support and Waste Management and Remediation Services · Sector 130 $31,480
Professional, Scientific, and Technical Services · Sector 120 $58,390
Health Care and Social Assistance · Sector 110 $45,020
Temporary Help Services · National industry 90 $28,050
Arts, Entertainment, and Recreation · Sector 80 $45,920
Management of Companies and Enterprises · Sector $38,170

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Information · Sector 5.14× 7,760
Educational Services · Sector 2.98× 21,090
Other Services (except Public Administration) · Sector 0.07× 160
Administrative and Support and Waste Management and Remediation Services · Sector 0.03× 130
Professional, Scientific, and Technical Services · Sector 0.02× 120
Health Care and Social Assistance · Sector 0.01× 110

Part of the Education career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Library Assistants, Clerical sits at the 54th percentile of AI task-overlap and the 5th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Library Assistants, Clerical Office Machine Operators, Except Computer File Clerks Office Clerks, General Librarians and Media Collections Specialists Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Executive Secretaries and Executive Administrative Assistants Library Science Teachers, Postsecondary Document Management Specialists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Library Assistants, Clerical — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 84th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Library Assistants, Clerical show 54th-percentile AI task overlap — and about 12,800 annual U.S. openings

  • Library Assistants, Clerical rank in the 54th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 12,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-6.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $36,010, across about 80,070 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 42% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Library Assistants, Clerical show 54th-percentile AI task overlap — and about 12,800 annual U.S. openings

• Library Assistants, Clerical rank in the 54th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 12,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-6.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $36,010, across about 80,070 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 42% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Library Assistants, Clerical". https://singulariki.com/roles/role-43-4121-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Library Assistants, Clerical." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-43-4121-00

APA

Singulariki. (2026). Library Assistants, Clerical. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-43-4121-00

BibTeX
@misc{singulariki-role-43-4121-00,
  title  = {Library Assistants, Clerical},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-43-4121-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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