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Radio Broadcasting Stations

National industry · NAICS 516110

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Radio Broadcasting Stations is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 51,780 workers across 71 detailed occupations in it. A typical worker earns around $54,213 a year (Singulariki estimate, see below).

This industry comprises establishments primarily engaged in broadcasting aural programs by radio to the public. These establishments operate radio 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 — 93rd 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 65 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 90.3% of employment · 48/69 occupations have AEI task data
Augmentation vs. automation 45.8% working with AI · 41.1% handed to AI
Most common pattern Directive · AI does it; you give the instruction
Typical AI autonomy 3.6 / 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 24.4%
Prepare, rewrite and edit copy to improve readability, or supervise others who do this work. Editors Iteration 9.1%
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 4.6%
Select program content, in conjunction with producers and assistants, based on factors such as program specialties, audience tastes, or requests from the public. Broadcast Announcers and Radio Disc Jockeys Directive 4.5%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 3.5%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 3.3%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 2.5%
Compose and edit scripts or provide screenwriters with story outlines from which scripts can be written. Producers and Directors Iteration 2.4%
Compile scripts, program notes, and other material related to productions. Producers and Directors Directive 2.2%
Prepare or edit organizational publications, such as employee newsletters or stockholders' reports, for internal or external audiences. Public Relations Specialists Iteration 2.1%
Develop factors such as themes, plots, characterizations, psychological analyses, historical environments, action, and dialogue, to create material. Writers and Authors Directive 1.8%
Write and edit news stories from information collected by reporters and other sources. Producers and Directors Directive 1.7%

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
Broadcast Announcers and Radio Disc Jockeys 13,710 26.5% Directive
Advertising Sales Agents 7,510 14.5% Iteration
Producers and Directors 5,500 10.6% Iteration
Broadcast Technicians 3,850 7.4% Directive
General and Operations Managers 2,820 5.5% Iteration
Office Clerks, General 1,630 3.1% Feedback loop
Market Research Analysts and Marketing Specialists 1,120 2.2% Directive
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 1,050 2.0% Directive
Sales Managers 780 1.5% Iteration
Public Relations Specialists 730 1.4% Iteration
Bookkeeping, Accounting, and Auditing Clerks 720 1.4% Directive
Meeting, Convention, and Event Planners 550 1.1% Iteration

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 96.0% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 96.0% 49,700
Speaking 96.0% 49,700
Critical Thinking 95.8% 49,580
Reading Comprehension 95.8% 49,610
Writing 95.2% 49,290
Time Management 94.9% 49,120
Coordination 93.1% 48,190
Social Perceptiveness 92.3% 47,790
Monitoring 91.7% 47,460
Judgment and Decision Making 89.0% 46,100
Complex Problem Solving 87.7% 45,400
Active Learning 72.1% 37,340

Knowledge areas

Knowledge area Employment reach Workers
English Language 95.8% 49,610
Computers and Electronics 86.2% 44,630
Communications and Media 75.8% 39,250
Customer and Personal Service 60.9% 31,520
Administration and Management 52.9% 27,370
Telecommunications 50.1% 25,920
Administrative 38.0% 19,690
Mathematics 31.0% 16,060
Sales and Marketing 23.9% 12,380
Economics and Accounting 13.5% 7,010
Engineering and Technology 10.5% 5,440
Personnel and Human Resources 9.8% 5,060

Abilities

Abilitie Employment reach Workers
Near Vision 96.0% 49,700
Oral Comprehension 96.0% 49,700
Oral Expression 96.0% 49,700
Speech Clarity 95.8% 49,610
Speech Recognition 95.8% 49,610
Written Comprehension 95.4% 49,410
Written Expression 95.4% 49,410
Deductive Reasoning 95.0% 49,180
Inductive Reasoning 95.0% 49,180
Information Ordering 95.0% 49,180
Problem Sensitivity 95.0% 49,180
Category Flexibility 90.9% 47,070

Tool categories

Tool category Employment reach Workers
Office suite software 99.0% 51,270
Spreadsheet software 99.0% 51,270
Word processing software 98.8% 51,160
Presentation software 98.6% 51,030
Electronic mail software 97.8% 50,660
Data base user interface and query software 87.3% 45,210
Internet browser software 84.0% 43,500
Enterprise resource planning ERP software 80.5% 41,660
Analytical or scientific software 77.2% 40,000
Desktop publishing software 67.6% 34,990
Graphics or photo imaging software 66.7% 34,560
Enterprise application integration software 59.6% 30,860
Customer relationship management CRM software 56.8% 29,390
Web page creation and editing software 56.8% 29,410
Video conferencing software 55.2% 28,590

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 Radio 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 Sound Engineering Technicians Broadcast Technicians Meeting, Convention, and Event Planners General and Operations Managers Producers and Directors Managers, All Other Office Clerks, General Receptionists and Information Clerks Billing and Posting Clerks Executive Secretaries and Executive Administrative Assistants Bookkeeping, Accounting, and Auditing Clerks Advertising Sales Agents Public Relations Specialists Web and Digital Interface Designers 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
Broadcast Announcers and Radio Disc Jockeys 13,710 26.5% $39,410
Advertising Sales Agents 7,510 14.5% $59,740
Producers and Directors 5,500 10.6% $53,540
Broadcast Technicians 3,850 7.4% $35,720
General and Operations Managers 2,820 5.4% $77,390
News Analysts, Reporters, and Journalists 1,830 3.5% $56,230
Office Clerks, General 1,630 3.1% $35,530
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel 1,250 2.4% $61,410
Market Research Analysts and Marketing Specialists 1,120 2.2% $56,840
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 1,050 2.0% $35,120
Sales Managers 780 1.5% $148,400
Public Relations Specialists 730 1.4% $41,040
Bookkeeping, Accounting, and Auditing Clerks 720 1.4% $41,990
Meeting, Convention, and Event Planners 550 1.1% $35,170
Editors 510 1.0% $76,280
Accountants and Auditors 450 0.9% $77,660
Audio and Video Technicians 450 0.9% $37,940
Sound Engineering Technicians 410 0.8% $61,450
First-Line Supervisors of Office and Administrative Support Workers 390 0.8% $54,530
Marketing Managers 370 0.7% $135,730
Receptionists and Information Clerks 370 0.7% $36,320
Software Developers 320 0.6% $120,970
Fundraisers 300 0.6% $68,710
Media and Communication Workers, All Other 280 0.5% $37,110
First-Line Supervisors of Non-Retail Sales Workers 280 0.5% $80,130
Customer Service Representatives 260 0.5% $38,870
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products 240 0.5% $62,050
Business Operations Specialists, All Other 220 0.4% $58,910
Graphic Designers 200 0.4% $60,870
Camera Operators, Television, Video, and Film 200 0.4% $51,260
Billing and Posting Clerks 200 0.4% $38,430
Production, Planning, and Expediting Clerks 190 0.4% $46,890
Advertising and Promotions Managers 170 0.3% $75,190
Financial Managers 170 0.3% $154,670
Managers, All Other 170 0.3% $101,260
Disc Jockeys, Except Radio 150 0.3% —
Executive Secretaries and Executive Administrative Assistants 150 0.3% $62,750
Computer and Information Systems Managers 130 0.3% $155,490
Web and Digital Interface Designers 130 0.3% $64,120
Writers and Authors 120 0.2% $47,830

Showing the top 40 of 71 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 Announcers and Radio Disc Jockeys 1709.57× 13,710
Broadcast Technicians 543.84× 3,850
Advertising Sales Agents 229.43× 7,510
News Analysts, Reporters, and Journalists 131.15× 1,830
Producers and Directors 112.74× 5,500
Sound Engineering Technicians 93.55× 410
Disc Jockeys, Except Radio 54.67× 150
Media and Communication Workers, All Other 35.34× 280
Camera Operators, Television, Video, and Film 24.35× 200
Advertising and Promotions Managers 23.99× 170
Audio and Video Technicians 19.12× 450
Editors 15.91× 510
Meeting, Convention, and Event Planners 12.16× 550
Fundraisers 8.43× 300
Public Relations Specialists 7.75× 730
Writers and Authors 7.48× 120
Market Research Analysts and Marketing Specialists 3.87× 1,120
Sales Managers 3.85× 780
First-Line Supervisors of Non-Retail Sales Workers 3.81× 280
Web and Digital Interface Designers 3.47× 130
Write a report on thisheadline · factoids · citation

The Radio Broadcasting Stations workforce sits at the 93rd percentile of AI task overlap — 51,780 U.S. workers

  • Weighting every occupation by its real share of Radio Broadcasting Stations employment, the industry's workforce ranks in the 93rd 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 51,780 U.S. workers across 71 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $54,213.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 46% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Radio Broadcasting Stations workforce sits at the 93rd percentile of AI task overlap — 51,780 U.S. workers

• Weighting every occupation by its real share of Radio Broadcasting Stations employment, the industry's workforce ranks in the 93rd 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 51,780 U.S. workers across 71 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $54,213. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 46% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Radio Broadcasting Stations". https://singulariki.com/industries/516110
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. "Radio 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/516110

APA

Singulariki. (2026). Radio Broadcasting Stations. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/516110

BibTeX 
@misc{singulariki-516110,
  title  = {Radio 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/516110}
}

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