Skip to content
Singulariki

First-Line Supervisors of Gambling Services Workers

Occupation · SOC 39-1013.00

Directly supervise and coordinate activities of workers in assigned gambling areas. May circulate among tables, observe operations, and ensure that stations and games are covered for each shift. May verify and pay off jackpots. May reset slot machines after payoffs and make repairs or adjustments to slot machines or recommend removal of slot machines for repair. May plan and organize activities and services for guests in hotels/casinos.

Also called: Casino Shift Manager (CSM) · Floor Supervisor · Slot Supervisor · Table Games Supervisor · Casino Manager · Pit Boss · Pit Supervisor · Slot Floor Person · Slot Shift Manager · Slot Shift Supervisor · Blackjack Pit Boss · Blackjack Supervisor

Job family: Personal Care and Service Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-39-1013-00/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.

64th-percentile task overlap — yet about 3,300 openings a year (+2% projected, BLS) . 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
LLM task exposure, γ (OpenAI / Eloundou) Moderate 47th 0.6
AI assistant applicability (Microsoft) High 83rd 0.3

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

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.

Greet customers and ask about the quality of service they are receiving. 2.3%

Job outlook

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

Outlook About average · +2.0% by 2034
Projected annual openings 3,300
Employment 2024 → 2034 32,500 → 33,100

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

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

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

Knowledge

Customer and Personal Service 4.5
Mathematics 3.9
English Language 3.9
Administration and Management 3.8
Computers and Electronics 3.7
Education and Training 3.5
Economics and Accounting 3.4
Public Safety and Security 3.3
Sales and Marketing 3.3
Personnel and Human Resources 3.3
Administrative 3.1

Abilities

Oral Comprehension 4.0
Oral Expression 3.9
Problem Sensitivity 3.8
Speech Recognition 3.8
Speech Clarity 3.8
Deductive Reasoning 3.6
Near Vision 3.6
Written Comprehension 3.5
Written Expression 3.5
Selective Attention 3.5
Information Ordering 3.4
Inductive Reasoning 3.3
Far Vision 3.3
Memorization 3.1

Essential skills

Monitoring 3.9
Active Listening 3.8
Speaking 3.8
Reading Comprehension 3.6
Critical Thinking 3.6
Writing 3.4

Transferable skills

Service Orientation 3.9
Social Perceptiveness 3.5
Time Management 3.5
Coordination 3.4
Management of Personnel Resources 3.4
Instructing 3.3
Complex Problem Solving 3.3
Negotiation 3.1
Judgment and Decision Making 3.1

Skills in demand

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

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
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 Project Project management software Hot technology
Microsoft Word Word processing software Hot technology
Corel WordPerfect Office Suite Office suite 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.

Deal With External Customers or the Public in General 4.9
Contact With Others 4.8
Indoors, Environmentally Controlled 4.8
Work With or Contribute to a Work Group or Team 4.7
E-Mail 4.6
Importance of Being Exact or Accurate 4.5
Physical Proximity 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.4
Dealing With Unpleasant, Angry, or Discourteous People 4.4
Importance of Repeating Same Tasks 4.3
Impact of Decisions on Co-workers or Company Results 4.3
Work Outcomes and Results of Other Workers 4.3
Conflict Situations 4.3
Frequency of Decision Making 4.2
Spend Time Standing 4.2
Time Pressure 4.0
Spend Time Walking or Running 3.9
Coordinate or Lead Others in Accomplishing Work Activities 3.8
Telephone Conversations 3.7
Freedom to Make Decisions 3.7
Exposed to Contaminants 3.6
Determine Tasks, Priorities and Goals 3.6
Health and Safety of Other Workers 3.6
Level of Competition 3.5
Written Letters and Memos 3.5
Consequence of Error 3.4
Spend Time Making Repetitive Motions 3.1
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.6
Degree of Automation 2.5
Dealing with Violent or Physically Aggressive People 2.5
Pace Determined by Speed of Equipment 2.4
Public Speaking 2.1
Spend Time Bending or Twisting Your Body 2.1
Exposed to Disease or Infections 2.1
Spend Time Sitting 1.9
Exposed to Cramped Work Space, Awkward Positions 1.9
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.8
Outdoors, Under Cover 1.6

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.

What to study: Business, Management, Marketing, and Related Support Services , Culinary, Entertainment, and Personal Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

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

High School Diploma 47.7%
Some College Courses 17.2%
Post-Secondary Certificate 11.9%
Associate's Degree (or other 2-year degree) 10.6%
Bachelor's Degree 6.5%
Less than a High School Diploma 6.1%

Interests & work styles

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

Work styles

Dependability 8.0
Attention to Detail 7.0
Integrity 6.0
Cautiousness 5.0
Social Orientation 4.0
Self-Control 3.0
Leadership Orientation 2.4

Career interests (Holland / RIASEC)

Enterprising 5.9
Conventional 5.5
Realistic 3.7
Social 3.0

Interest areas

Management/Administration 5.7
Personal Service 3.3
Protective Service 3.2
Human Resources 3.0
Accounting 3.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$38k10th$49k25th$62kMedian$74k75th$82k90th
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.
33k202433k2034 (proj.)+2.0% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $38,360
25th percentile $49,190
Median (50th) $61,590
75th percentile $74,080
90th percentile $82,370
People employed 25,530

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
Accommodation and Food Services · Sector 13,900 $63,120
Casino Hotels · National industry 13,870 $63,270
Arts, Entertainment, and Recreation · Sector 10,740 $60,220
Other Services (except Public Administration) · Sector 370 $41,650
Administrative and Support and Waste Management and Remediation Services · Sector 60 $54,210
Health Care and Social Assistance · Sector 60 $78,050
Information · Sector $43,090
Real Estate and Rental and Leasing · Sector $57,500

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
Casino Hotels · National industry 248.57× 13,870
Arts, Entertainment, and Recreation · Sector 24.55× 10,740
Accommodation and Food Services · Sector 5.9× 13,900
Other Services (except Public Administration) · Sector 0.5× 370

Part of the Hospitality, Events, & Tourism career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay First-Line Supervisors of Gambling Services Workers sits at the 64th percentile of AI task-overlap and the 49th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay First-Line Supervisors of Gambling Services Workers First-Line Supervisors of Housekeeping and Janitorial Workers Gambling Change Persons and Booth Cashiers First-Line Supervisors of Mechanics, Installers, and Repairers Gambling Surveillance Officers and Gambling Investigators Gambling and Sports Book Writers and Runners Gambling Managers First-Line Supervisors of Office and Administrative Support Workers 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 First-Line Supervisors of Gambling Services Workers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

First-Line Supervisors of Gambling Services Workers show 64th-percentile AI task overlap — and about 3,300 annual U.S. openings

  • First-Line Supervisors of Gambling Services Workers rank in the 64th 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 3,300 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 about average (+2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $61,590, across about 25,530 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
First-Line Supervisors of Gambling Services Workers show 64th-percentile AI task overlap — and about 3,300 annual U.S. openings

• First-Line Supervisors of Gambling Services Workers rank in the 64th 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 3,300 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 about average (+2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $61,590, across about 25,530 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "First-Line Supervisors of Gambling Services Workers". https://singulariki.com/roles/role-39-1013-00
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. "First-Line Supervisors of Gambling Services Workers." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-39-1013-00

APA

Singulariki. (2026). First-Line Supervisors of Gambling Services Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-1013-00

BibTeX
@misc{singulariki-role-39-1013-00,
  title  = {First-Line Supervisors of Gambling Services Workers},
  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. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-39-1013-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.