Skip to content
Singulariki

Television Broadcasting Stations

National industry · NAICS 516120

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /industries/516120/context.md directly.

Television Broadcasting Stations is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 64,920 workers across 86 detailed occupations in it. A typical worker earns around $65,807 a year (Singulariki estimate, see below).

This industry comprises establishments primarily engaged in broadcasting images together with sound. These establishments operate television broadcasting studios and facilities for the programming and transmission of programs to the public. Programming may originate in their own studio, from an affiliated network, or from external sources. Cross-References. Establishments primarily engaged in--

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 — 86th 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 78 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 78.0% of employment · 57/82 occupations have AEI task data
Augmentation vs. automation 49.3% working with AI · 37.5% handed to AI
Most common pattern Iteration · you and AI go back and forth
Typical AI autonomy 3.7 / 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
Prepare, rewrite and edit copy to improve readability, or supervise others who do this work. Editors Iteration 24.3%
Troubleshoot problems involving office equipment, such as computer hardware and software. Office Clerks, General Feedback loop 8.1%
Develop factors such as themes, plots, characterizations, psychological analyses, historical environments, action, and dialogue, to create material. Writers and Authors Directive 7.0%
Consult with writers, producers, or actors about script changes or "workshop" scripts, through rehearsal with writers and actors to create final drafts. Producers and Directors Iteration 6.4%
Write advertising copy for use by publication, broadcast, or internet media to promote the sale of goods and services. Writers and Authors Iteration 3.5%
Compose and edit scripts or provide screenwriters with story outlines from which scripts can be written. Producers and Directors Iteration 3.3%
Compile scripts, program notes, and other material related to productions. Producers and Directors Directive 3.0%
Edit or rewrite existing copy as necessary, and submit copy for approval by supervisor. Writers and Authors Iteration 2.9%
Write and edit news stories from information collected by reporters and other sources. Producers and Directors Directive 2.4%
Read, evaluate and edit manuscripts or other materials submitted for publication and confer with authors regarding changes in content, style or organization, or publication. Editors Iteration 2.3%
Select plays, scripts, books, or ideas to be produced. Producers and Directors Directive 1.7%
Research production topics using the internet, video archives, and other informational sources. Producers and Directors Directive 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
Producers and Directors 14,210 21.9% Iteration
Broadcast Technicians 4,830 7.4% Directive
Advertising Sales Agents 3,750 5.8% Iteration
Editors 2,560 3.9% Iteration
Camera Operators, Television, Video, and Film 2,350 3.6% Iteration
General and Operations Managers 2,290 3.5% Iteration
Market Research Analysts and Marketing Specialists 1,530 2.4% Directive
Photographers 1,480 2.3% Iteration
Audio and Video Technicians 1,290 2.0% Iteration
Atmospheric and Space Scientists 1,050 1.6% Learning
Film and Video Editors 1,040 1.6% Iteration
Office Clerks, General 1,010 1.6% Feedback loop

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 96.1% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 96.1% 62,390
Speaking 95.5% 62,030
Reading Comprehension 95.3% 61,880
Critical Thinking 95.2% 61,830
Time Management 94.5% 61,330
Coordination 92.6% 60,100
Monitoring 92.0% 59,740
Complex Problem Solving 90.6% 58,820
Judgment and Decision Making 90.6% 58,800
Social Perceptiveness 90.6% 58,810
Writing 88.0% 57,110
Active Learning 79.8% 51,810

Knowledge areas

Knowledge area Employment reach Workers
English Language 95.9% 62,280
Computers and Electronics 88.2% 57,250
Customer and Personal Service 82.1% 53,270
Communications and Media 77.4% 50,250
Administration and Management 61.9% 40,170
Telecommunications 53.5% 34,760
Administrative 33.4% 21,690
Mathematics 23.9% 15,500
Sales and Marketing 20.8% 13,520
Law and Government 18.0% 11,680
Geography 16.0% 10,380
Education and Training 13.9% 9,030

Abilities

Abilitie Employment reach Workers
Near Vision 96.1% 62,390
Oral Comprehension 96.1% 62,390
Oral Expression 96.1% 62,390
Information Ordering 95.6% 62,060
Speech Clarity 95.4% 61,920
Speech Recognition 95.4% 61,920
Deductive Reasoning 95.0% 61,700
Inductive Reasoning 95.0% 61,700
Problem Sensitivity 93.8% 60,900
Written Comprehension 91.8% 59,570
Written Expression 91.4% 59,360
Fluency of Ideas 85.2% 55,280

Tool categories

Tool category Employment reach Workers
Spreadsheet software 97.8% 63,490
Word processing software 97.3% 63,170
Electronic mail software 95.8% 62,190
Office suite software 95.5% 62,010
Presentation software 94.5% 61,320
Desktop publishing software 92.0% 59,720
Graphics or photo imaging software 89.4% 58,070
Data base user interface and query software 82.8% 53,760
Web page creation and editing software 82.3% 53,420
Video creation and editing software 80.8% 52,480
Internet browser software 77.8% 50,510
Project management software 71.7% 46,530
Analytical or scientific software 69.6% 45,160
Operating system software 66.5% 43,170
Information retrieval or search software 60.2% 39,110

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 Television Broadcasting Stations. 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 Maintenance and Repair Workers, General Broadcast Technicians Camera Operators, Television, Video, and Film Photographers General and Operations Managers Producers and Directors Managers, All Other Production, Planning, and Expediting Clerks Computer User Support Specialists Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Executive Secretaries and Executive Administrative Assistants Network and Computer Systems Administrators Bookkeeping, Accounting, and Auditing Clerks 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
Producers and Directors 14,210 21.9% $62,370
News Analysts, Reporters, and Journalists 9,290 14.3% $65,670
Broadcast Technicians 4,830 7.4% $50,250
Advertising Sales Agents 3,750 5.8% $51,710
Editors 2,560 3.9% $62,790
Camera Operators, Television, Video, and Film 2,350 3.6% $59,060
General and Operations Managers 2,290 3.5% $123,090
Market Research Analysts and Marketing Specialists 1,530 2.4% $60,550
Photographers 1,480 2.3% $62,210
Audio and Video Technicians 1,290 2.0% $43,880
Atmospheric and Space Scientists 1,050 1.6% $72,330
Film and Video Editors 1,040 1.6% $51,290
Office Clerks, General 1,010 1.6% $44,940
Sales Managers 860 1.3% $143,620
Writers and Authors 860 1.3% $68,250
Graphic Designers 850 1.3% $62,940
Media and Communication Workers, All Other 820 1.3% $76,980
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel 770 1.2% $62,030
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 760 1.2% $46,130
Broadcast Announcers and Radio Disc Jockeys 650 1.0% $60,450
Customer Service Representatives 650 1.0% $44,700
Accountants and Auditors 510 0.8% $82,270
Public Relations Specialists 470 0.7% $50,690
Production, Planning, and Expediting Clerks 470 0.7% $46,920
Maintenance and Repair Workers, General 470 0.7% $69,880
Marketing Managers 460 0.7% $131,490
First-Line Supervisors of Office and Administrative Support Workers 460 0.7% $70,270
Managers, All Other 410 0.6% $119,180
Human Resources Specialists 400 0.6% $72,200
Business Operations Specialists, All Other 390 0.6% $60,420
Financial Managers 380 0.6%
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products 380 0.6%
Web and Digital Interface Designers 360 0.6% $58,890
Laborers and Freight, Stock, and Material Movers, Hand 360 0.6% $35,260
Computer and Information Systems Managers 340 0.5% $153,870
Computer User Support Specialists 340 0.5% $63,560
Executive Secretaries and Executive Administrative Assistants 340 0.5% $78,790
Bookkeeping, Accounting, and Auditing Clerks 310 0.5% $53,630
Network and Computer Systems Administrators 270 0.4% $84,660
Media and Communication Equipment Workers, All Other 270 0.4% $42,130

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
Broadcast Technicians 544.18× 4,830
News Analysts, Reporters, and Journalists 531.02× 9,290
Atmospheric and Space Scientists 284.03× 1,050
Producers and Directors 232.32× 14,210
Camera Operators, Television, Video, and Film 228.18× 2,350
Advertising Sales Agents 91.38× 3,750
Film and Video Editors 85.59× 1,040
Media and Communication Workers, All Other 82.56× 820
Photographers 68.61× 1,480
Broadcast Announcers and Radio Disc Jockeys 64.65× 650
Editors 63.68× 2,560
Media and Communication Equipment Workers, All Other 49.25× 270
Audio and Video Technicians 43.72× 1,290
Writers and Authors 42.73× 860
Sound Engineering Technicians 32.76× 180
Advertising and Promotions Managers 25.89× 230
Art Directors 11.32× 240
Graphic Designers 9.42× 850
Web and Digital Interface Designers 7.68× 360
Fundraisers 4.48× 200
Write a report on thisheadline · factoids · citation

The Television Broadcasting Stations workforce sits at the 86th percentile of AI task overlap — 64,920 U.S. workers

  • Weighting every occupation by its real share of Television Broadcasting Stations employment, the industry's workforce ranks in the 86th 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 64,920 U.S. workers across 86 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $65,807.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 49% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Television Broadcasting Stations workforce sits at the 86th percentile of AI task overlap — 64,920 U.S. workers

• Weighting every occupation by its real share of Television Broadcasting Stations employment, the industry's workforce ranks in the 86th 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 64,920 U.S. workers across 86 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $65,807. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 49% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Television Broadcasting Stations". https://singulariki.com/industries/516120
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. "Television Broadcasting Stations." 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/516120

APA

Singulariki. (2026). Television Broadcasting Stations. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/516120

BibTeX
@misc{singulariki-516120,
  title  = {Television Broadcasting Stations},
  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/516120}
}

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