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Theater Companies and Dinner Theaters

National industry · NAICS 711110

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Theater Companies and Dinner Theaters is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 72,390 workers across 125 detailed occupations in it. A typical worker earns around $51,911 a year (Singulariki estimate, see below).

This industry comprises (1) companies, groups, or theaters primarily engaged in producing the following live theatrical presentations: musicals; operas; plays; and comedy, improvisational, mime, and puppet shows and (2) establishments, commonly known as dinner theaters, engaged in producing live theatrical productions and in providing food and beverages for consumption on the premises. Theater groups or companies may or may not operate their own theater or other facility for staging their shows. Illustrative Examples: Comedy troupes Opera companies Live theatrical productions (except dance) Theatrical stock or repertory companies Musical theater companies 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 Moderate band — 57th 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 110 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 74.9% of employment · 75/121 occupations have AEI task data
Augmentation vs. automation 45.1% working with AI · 36.8% handed to AI
Most common pattern Directive · AI does it; you give the instruction
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
Write original or adapted material for dramas, comedies, puppet shows, narration, or other performances. Actors Directive 30.2%
Troubleshoot problems involving office equipment, such as computer hardware and software. Office Clerks, General Feedback loop 8.0%
Answer customers' questions, and provide information on procedures or policies. Cashiers Directive 6.4%
Conduct classes, workshops, and demonstrations, and provide individual instruction to teach topics and skills such as cooking, dancing, writing, physical fitness, photography, personal finance, and flying. Self-Enrichment Teachers Learning 4.6%
Portray and interpret roles, using speech, gestures, and body movements, to entertain, inform, or instruct radio, film, television, or live audiences. Actors Directive 3.7%
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 2.2%
Review instructional content, methods, and student evaluations to assess strengths and weaknesses, and to develop recommendations for course revision, development, or elimination. Self-Enrichment Teachers Iteration 1.5%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 1.5%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 1.4%
Compose and edit scripts or provide screenwriters with story outlines from which scripts can be written. Producers and Directors Iteration 1.1%
Develop instructional materials to be used by educators and instructors. Instructional Coordinators Iteration 1.1%
Use computers, audio-visual aids, and other equipment and materials to supplement presentations. Self-Enrichment Teachers Learning 1.1%

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
Actors 6,340 8.8% Directive
Producers and Directors 5,550 7.7% Iteration
General and Operations Managers 3,260 4.5% Iteration
Waiters and Waitresses 3,120 4.3% Directive
Self-Enrichment Teachers 3,100 4.3% Learning
Musicians and Singers 2,520 3.5% Iteration
Bartenders 2,250 3.1% Directive
Cashiers 1,940 2.7% Directive
Set and Exhibit Designers 1,880 2.6% Directive
Costume Attendants 1,880 2.6% —
Customer Service Representatives 1,240 1.7% Directive
Audio and Video Technicians 1,200 1.7% 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 95.2% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 93.5% 67,720
Speaking 87.9% 63,640
Social Perceptiveness 78.9% 57,130
Monitoring 73.2% 53,010
Coordination 71.3% 51,590
Critical Thinking 68.9% 49,910
Reading Comprehension 67.7% 49,000
Time Management 59.6% 43,130
Service Orientation 55.2% 39,970
Active Learning 47.0% 34,030
Judgment and Decision Making 46.2% 33,450
Writing 46.0% 33,280

Knowledge areas

Knowledge area Employment reach Workers
English Language 90.5% 65,490
Customer and Personal Service 83.7% 60,560
Administration and Management 47.5% 34,390
Communications and Media 37.9% 27,450
Computers and Electronics 33.3% 24,110
Administrative 23.8% 17,210
Education and Training 23.4% 16,910
Mathematics 23.3% 16,850
Fine Arts 23.0% 16,630
Sales and Marketing 23.0% 16,680
Public Safety and Security 21.2% 15,360
Production and Processing 19.2% 13,880

Abilities

Abilitie Employment reach Workers
Near Vision 95.2% 68,910
Oral Comprehension 94.9% 68,680
Oral Expression 94.5% 68,400
Speech Recognition 88.7% 64,180
Speech Clarity 88.1% 63,790
Problem Sensitivity 83.4% 60,380
Information Ordering 75.0% 54,320
Written Comprehension 73.5% 53,190
Deductive Reasoning 61.7% 44,630
Inductive Reasoning 57.0% 41,240
Category Flexibility 55.0% 39,840
Written Expression 54.5% 39,420

Tool categories

Tool category Employment reach Workers
Spreadsheet software 88.6% 64,120
Office suite software 88.1% 63,810
Electronic mail software 83.4% 60,390
Word processing software 83.3% 60,280
Data base user interface and query software 76.5% 55,400
Internet browser software 69.5% 50,310
Operating system software 65.9% 47,680
Web page creation and editing software 65.6% 47,520
Presentation software 64.7% 46,860
Video creation and editing software 51.7% 37,460
Desktop publishing software 44.7% 32,360
Instant messaging software 43.8% 31,740
Project management software 43.4% 31,430
Enterprise resource planning ERP software 42.8% 30,960
Document management software 41.6% 30,120

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 36 occupations in Theater Companies and Dinner Theaters. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Dining Room and Cafeteria Attendants and Bartender Helpers Laborers and Freight, Stock, and Material Movers, Hand Janitors and Cleaners, Except Maids and Housekeeping Cleaners Carpenters Maintenance and Repair Workers, General Electricians Security Guards Costume Attendants Fast Food and Counter Workers Sound Engineering Technicians First-Line Supervisors of Food Preparation and Serving Workers Lighting Technicians Self-Enrichment Teachers General and Operations Managers Producers and Directors Retail Salespersons First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services Managers, All Other Bookkeeping, Accounting, and Auditing Clerks Public Relations Specialists Market Research Analysts and Marketing Specialists 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
Actors 6,340 8.8% —
Producers and Directors 5,550 7.7% $59,990
Ushers, Lobby Attendants, and Ticket Takers 4,480 6.2% $35,610
General and Operations Managers 3,260 4.5% $74,940
Waiters and Waitresses 3,120 4.3% $34,480
Laborers and Freight, Stock, and Material Movers, Hand 3,120 4.3% $46,160
Self-Enrichment Teachers 3,100 4.3% $75,980
Musicians and Singers 2,520 3.5% —
Bartenders 2,250 3.1% $33,340
Cashiers 1,940 2.7% $34,690
Set and Exhibit Designers 1,880 2.6% $61,790
Costume Attendants 1,880 2.6% $48,190
Carpenters 1,390 1.9% $56,330
Customer Service Representatives 1,240 1.7% $34,110
Audio and Video Technicians 1,200 1.7% $48,260
Market Research Analysts and Marketing Specialists 1,190 1.6% $51,860
Office Clerks, General 1,120 1.5% $39,450
Fundraisers 1,060 1.5% $56,540
Fast Food and Counter Workers 1,020 1.4% $35,180
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 930 1.3% $42,230
Maintenance and Repair Workers, General 910 1.3% $44,720
Janitors and Cleaners, Except Maids and Housekeeping Cleaners 880 1.2% $37,630
Cooks, Restaurant 790 1.1% $39,340
Security Guards 780 1.1% $35,520
Bookkeeping, Accounting, and Auditing Clerks 730 1.0% $46,940
Retail Salespersons 710 1.0% $31,570
Dining Room and Cafeteria Attendants and Bartender Helpers 670 0.9% $34,840
Public Relations Specialists 660 0.9% $48,140
Electricians 620 0.9% $57,090
Accountants and Auditors 590 0.8% $74,590
Sound Engineering Technicians 580 0.8% $65,410
Lighting Technicians 550 0.8% $45,810
Meeting, Convention, and Event Planners 530 0.7% $54,630
First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services 530 0.7% $45,100
First-Line Supervisors of Office and Administrative Support Workers 530 0.7% $48,990
Business Operations Specialists, All Other 470 0.6% $47,160
First-Line Supervisors of Food Preparation and Serving Workers 470 0.6% $52,300
Entertainers and Performers, Sports and Related Workers, All Other 460 0.6% —
Managers, All Other 450 0.6% $66,540
Dancers 440 0.6% —

Showing the top 40 of 125 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
Costume Attendants 636.61× 1,880
Set and Exhibit Designers 369.06× 1,880
Actors 348.04× 6,340
Musicians and Singers 139.96× 2,520
Choreographers 117.98× 190
Lighting Technicians 115.64× 550
Dancers 103.44× 440
Sound Engineering Technicians 94.66× 580
Producers and Directors 81.37× 5,550
Ushers, Lobby Attendants, and Ticket Takers 80.04× 4,480
Music Directors and Composers 69.1× 400
Entertainers and Performers, Sports and Related Workers, All Other 65.14× 460
Craft Artists 58.49× 120
Fine Artists, Including Painters, Sculptors, and Illustrators 57.51× 270
Entertainment Attendants and Related Workers, All Other 42.28× 160
Audio and Video Technicians 36.47× 1,200
Media and Communication Equipment Workers, All Other 34.35× 210
Fashion Designers 24.45× 240
Self-Enrichment Teachers 21.4× 3,100
Fundraisers 21.31× 1,060
Write a report on thisheadline · factoids · citation

The Theater Companies and Dinner Theaters workforce sits at the 57th percentile of AI task overlap — 72,390 U.S. workers

  • Weighting every occupation by its real share of Theater Companies and Dinner Theaters employment, the industry's workforce ranks in the 57th percentile (Moderate 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 72,390 U.S. workers across 125 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $51,911.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 45% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Theater Companies and Dinner Theaters workforce sits at the 57th percentile of AI task overlap — 72,390 U.S. workers

• Weighting every occupation by its real share of Theater Companies and Dinner Theaters employment, the industry's workforce ranks in the 57th percentile (Moderate 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 72,390 U.S. workers across 125 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $51,911. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 45% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Theater Companies and Dinner Theaters". https://singulariki.com/industries/711110
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. "Theater Companies and Dinner Theaters." 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/711110

APA

Singulariki. (2026). Theater Companies and Dinner Theaters. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/711110

BibTeX 
@misc{singulariki-711110,
  title  = {Theater Companies and Dinner Theaters},
  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/711110}
}

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