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Labor Unions and Similar Labor Organizations

National industry · NAICS 813930

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Labor Unions and Similar Labor Organizations is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 105,960 workers across 86 detailed occupations in it. A typical worker earns around $86,592 a year (Singulariki estimate, see below).

This industry comprises establishments primarily engaged in promoting the interests of organized labor and union employees. Cross-References.

Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.

How exposed this industry is to AI

Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the High band — 83rd percentile across all industries.

Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 73 occupations that carry an exposure score. Compare every industry on the AI exposure hub.

How AI is actually used in this industry

Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.

Signal coverage 95.3% of employment · 50/80 occupations have AEI task data
Augmentation vs. automation 49.9% working with AI · 41.8% handed to AI
Most common pattern Iteration · you and AI go back and forth
Typical AI autonomy 3.2 / 5 · higher = AI acts more independently

Tasks driving the signal

The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.

Task Occupation How Share of signal
Troubleshoot problems involving office equipment, such as computer hardware and software. Office Clerks, General Feedback loop 22.4%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 10.9%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 10.1%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 7.6%
Prepare, rewrite and edit copy to improve readability, or supervise others who do this work. Editors Iteration 3.3%
Analyze operations to evaluate performance of a company or its staff in meeting objectives or to determine areas of potential cost reduction, program improvement, or policy change. Chief Executives Iteration 2.0%
Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. First-Line Supervisors of Office and Administrative Support Workers Iteration 1.8%
Create, maintain, and enter information into databases. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 1.8%
Prepare responses to correspondence containing routine inquiries. Executive Secretaries and Executive Administrative Assistants Directive 1.7%
Prepare or edit organizational publications, such as employee newsletters or stockholders' reports, for internal or external audiences. Public Relations Specialists Iteration 1.5%
Answer telephones and give information to callers, take messages, or transfer calls to appropriate individuals. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive none 1.5%
Greet visitors or callers and handle their inquiries or direct them to the appropriate persons according to their needs. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive none 1.4%

Occupations behind the signal

The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.

Occupation Workers Share How they use AI
Labor Relations Specialists 47,790 45.1% Iteration
General and Operations Managers 10,270 9.7% Iteration
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 8,280 7.8% Directive
Bookkeeping, Accounting, and Auditing Clerks 6,200 5.9% Directive
Office Clerks, General 3,830 3.6% Feedback loop
Accountants and Auditors 3,460 3.3% Directive
Business Operations Specialists, All Other 2,740 2.6% Directive
Executive Secretaries and Executive Administrative Assistants 2,690 2.5% Iteration
First-Line Supervisors of Office and Administrative Support Workers 1,920 1.8% Iteration
Chief Executives 1,650 1.6% Iteration
Public Relations Specialists 1,350 1.3% Iteration
Managers, All Other 1,150 1.1% Directive

This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.

Skill & tool metabolism

What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.

Based on 98.6% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 98.5% 104,360
Speaking 97.8% 103,680
Reading Comprehension 97.4% 103,210
Critical Thinking 97.3% 103,090
Time Management 96.3% 102,060
Writing 96.0% 101,750
Monitoring 93.4% 98,920
Social Perceptiveness 90.3% 95,730
Coordination 90.0% 95,370
Service Orientation 88.4% 93,640
Judgment and Decision Making 86.2% 91,340
Active Learning 77.9% 82,570

Knowledge areas

Knowledge area Employment reach Workers
English Language 98.0% 103,800
Administration and Management 90.1% 95,510
Personnel and Human Resources 62.8% 66,500
Law and Government 55.7% 59,020
Customer and Personal Service 52.0% 55,050
Administrative 42.7% 45,200
Computers and Electronics 36.6% 38,760
Mathematics 27.3% 28,880
Economics and Accounting 24.2% 25,690
Production and Processing 11.1% 11,710
Public Safety and Security 9.4% 9,960
Education and Training 9.1% 9,670

Abilities

Abilitie Employment reach Workers
Near Vision 98.6% 104,470
Oral Comprehension 98.5% 104,410
Oral Expression 98.5% 104,410
Information Ordering 97.7% 103,500
Problem Sensitivity 97.6% 103,420
Speech Clarity 97.4% 103,160
Speech Recognition 97.4% 103,210
Written Comprehension 97.4% 103,210
Deductive Reasoning 97.0% 102,770
Inductive Reasoning 96.9% 102,670
Written Expression 96.7% 102,450
Category Flexibility 96.0% 101,690

Tool categories

Tool category Employment reach Workers
Electronic mail software 99.1% 104,970
Office suite software 98.9% 104,830
Spreadsheet software 98.9% 104,830
Word processing software 98.8% 104,730
Data base user interface and query software 97.8% 103,640
Presentation software 97.1% 102,940
Document management software 96.0% 101,770
Enterprise resource planning ERP software 94.8% 100,410
Human resources software 88.5% 93,770
Project management software 50.7% 53,720
Desktop publishing software 48.7% 51,590
Customer relationship management CRM software 48.6% 51,460
Internet browser software 48.4% 51,260
Operating system software 48.2% 51,070
Application server software 47.8% 50,600

Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.

Largest occupations

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 38 occupations in Labor Unions and Similar Labor Organizations. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Laborers and Freight, Stock, and Material Movers, Hand Janitors and Cleaners, Except Maids and Housekeeping Cleaners Maintenance and Repair Workers, General Security Guards Administrative Services Managers Bartenders Meeting, Convention, and Event Planners Career/Technical Education Teachers, Postsecondary Labor Relations Specialists Managers, All Other Compliance Officers Office Clerks, General Business Operations Specialists, All Other First-Line Supervisors of Office and Administrative Support Workers Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Executive Secretaries and Executive Administrative Assistants Bookkeeping, Accounting, and Auditing Clerks Management Analysts Public Relations Specialists Computer Occupations, All Other AI task-overlap percentile → ↑ Median pay
The largest occupations in this industry with both an AI task-overlap score and a wage, plotted by task-overlap percentile (horizontal) and median-pay percentile (vertical). Overlap measures shared tasks with AI, not automation.

The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).

Occupation Workers Share National median pay
Labor Relations Specialists 47,790 45.1% $93,450
General and Operations Managers 10,270 9.7% $102,350
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 8,280 7.8% $56,370
Bookkeeping, Accounting, and Auditing Clerks 6,200 5.9% $58,110
Office Clerks, General 3,830 3.6% $57,100
Accountants and Auditors 3,460 3.3% $83,650
Business Operations Specialists, All Other 2,740 2.6% $81,360
Executive Secretaries and Executive Administrative Assistants 2,690 2.5% $80,030
First-Line Supervisors of Office and Administrative Support Workers 1,920 1.8% $74,730
Chief Executives 1,650 1.6% $153,210
Public Relations Specialists 1,350 1.3% $90,530
Managers, All Other 1,150 1.1% $118,240
Financial Managers 930 0.9% $129,290
Customer Service Representatives 780 0.7% $56,070
Lawyers 690 0.7% $135,230
Training and Development Specialists 660 0.6% $85,720
Laborers and Freight, Stock, and Material Movers, Hand 610 0.6% $60,350
Janitors and Cleaners, Except Maids and Housekeeping Cleaners 590 0.6% $47,170
Human Resources Specialists 560 0.5% $85,090
Security Guards 550 0.5% $57,470
Compensation, Benefits, and Job Analysis Specialists 520 0.5% $66,060
Maintenance and Repair Workers, General 520 0.5% $48,510
Administrative Services Managers 490 0.5% $106,360
Editors 470 0.4% $73,730
Compliance Officers 420 0.4% $72,700
Dispatchers, Except Police, Fire, and Ambulance 400 0.4% $80,010
Meeting, Convention, and Event Planners 380 0.4% $79,770
Receptionists and Information Clerks 320 0.3% $51,540
Public Relations Managers 290 0.3% $139,830
Management Analysts 270 0.3% $119,000
Market Research Analysts and Marketing Specialists 250 0.2% $102,590
Human Resources Managers 230 0.2% $133,600
Bartenders 220 0.2% $31,950
Career/Technical Education Teachers, Postsecondary 200 0.2% $101,190
Information and Record Clerks, All Other 200 0.2% $44,800
Computer User Support Specialists 190 0.2% $81,260
Computer Occupations, All Other 190 0.2% $83,350
Teachers and Instructors, All Other 170 0.2% $71,110
Office and Administrative Support Workers, All Other 170 0.2% $24,280
Financial Specialists, All Other 160 0.2% $97,330

Showing the top 40 of 86 occupations by employment.

Most distinctive occupations

The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).

Occupation Concentration Workers
Labor Relations Specialists 1076.65× 47,790
Arbitrators, Mediators, and Conciliators 25.92× 140
Chief Executives 11.33× 1,650
Executive Secretaries and Executive Administrative Assistants 8.28× 2,690
Compensation, Benefits, and Job Analysis Specialists 7.39× 520
Editors 7.16× 470
Public Relations Specialists 7× 1,350
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 6.93× 8,280
Bookkeeping, Accounting, and Auditing Clerks 6.2× 6,200
Public Relations Managers 5.55× 290
General and Operations Managers 4.17× 10,270
Meeting, Convention, and Event Planners 4.11× 380
Business Operations Specialists, All Other 3.53× 2,740
Accountants and Auditors 3.48× 3,460
Administrative Services Managers 2.81× 490
Dispatchers, Except Police, Fire, and Ambulance 2.76× 400
Managers, All Other 2.65× 1,150
Career/Technical Education Teachers, Postsecondary 2.62× 200
Office Clerks, General 2.22× 3,830
Training and Development Specialists 2.2× 660
Write a report on thisheadline · factoids · citation

The Labor Unions and Similar Labor Organizations workforce sits at the 83rd percentile of AI task overlap — 105,960 U.S. workers

  • Weighting every occupation by its real share of Labor Unions and Similar Labor Organizations employment, the industry's workforce ranks in the 83rd percentile (High band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
  • The industry employs about 105,960 U.S. workers across 86 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $86,592.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 50% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Labor Unions and Similar Labor Organizations workforce sits at the 83rd percentile of AI task overlap — 105,960 U.S. workers

• Weighting every occupation by its real share of Labor Unions and Similar Labor Organizations employment, the industry's workforce ranks in the 83rd percentile (High band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS)
• The industry employs about 105,960 U.S. workers across 86 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $86,592. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 50% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Labor Unions and Similar Labor Organizations". https://singulariki.com/industries/813930
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 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Labor Unions and Similar Labor Organizations." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/813930

APA

Singulariki. (2026). Labor Unions and Similar Labor Organizations. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/813930

BibTeX 
@misc{singulariki-813930,
  title  = {Labor Unions and Similar Labor Organizations},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/industries/813930}
}

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