Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Gambling and Sports Book Writers and Runners
Occupation · SOC 39-3012.00
Post information enabling patrons to wager on various races and sporting events. Assist in the operation of games such as keno and bingo. May operate random number-generating equipment and announce the numbers for patrons. Receive, verify, and record patrons' wagers. Scan and process winning tickets presented by patrons and pay out winnings for those wagers.
Also called: Casino Floor Runner · Casino Runner · Keno Writer · Racebook Writer · Bingo Clerk · Casino Attendant · Floor Runner · Keno Attendant · Race and Sports Book Writer · Bet Taker · Betting Clerk · Bingo Caller
Job family: Personal Care and Service Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-39-3012-00/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.
Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-6.1% by 2034)
- 1,200 openings/yr
- High AI exposure
- Median pay $30,460/yr
- Work is mostly on-site (not teleworkable)
- Both the 2013 computerization estimate and today's AI exposure rank this high
56th-percentile task overlap — yet about 1,200 openings a year (-6.1% 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 |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 59th | 0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 33rd | 0.3 | |
| AI assistant applicability (Microsoft) High | 79th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.3), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.9 · 81st percentile among occupations · High
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -6.1% by 2034 |
| Projected annual openings | 1,200 |
| Employment 2024 → 2034 | 8,200 → 7,700 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Gambling and Sports Book Writers and Runners sits at the 83rd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
45% mean task exposure (2025)
83rd percentile of 427 placed occupations
−7 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Bookmakers, Croupiers and Related Gaming Workers · 4212 | 45% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 22 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed. Supplemental · importance 4.8
- Operate games in which players bet that a ball will come to rest in a particular slot on a rotating wheel, performing actions such as spinning the wheel and releasing the ball. Supplemental · importance 4.8
- Exchange paper currency for playing chips or coins. Supplemental · importance 4.7
- Compare the house hand with players' hands to determine the winner. Supplemental · importance 4.7
- Open or close cash floats or game tables. Supplemental · importance 4.6
- Pay off or move bets as established by game rules and procedures. Supplemental · importance 4.5
- Collect bets in the form of cash or chips, verifying and recording amounts. Core · importance 4.5
- Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors. Supplemental · importance 4.5
- Check to ensure that all players have placed their bets before play begins. Supplemental · importance 4.5
- Collect cards or tickets from players. Core · importance 4.3
- Inspect cards or equipment to be used in games to ensure they are in proper condition. Supplemental · importance 4.3
- Compute and verify amounts won or lost, paying out winnings or referring patrons to workers, such as gaming cashiers, so that winnings can be collected. Core · importance 4.3
- Record the number of tickets cashed and the amount paid out after each race or event. Supplemental · importance 4.1
- Answer questions about game rules or casino policies. Core · importance 4.1
- Prepare collection reports for submission to supervisors. Supplemental · importance 4.0
- Deliver tickets, cards, and money to bingo callers. Supplemental · importance 3.9
- Sell food, beverages, or tobacco to players. Supplemental · importance 3.9
- Supervise staff and games and mediate disputes. Supplemental · importance 3.8
- Participate in games for gambling establishments to provide the minimum complement of players at a table. Supplemental
- Push dice to shooters and retrieve thrown dice. Supplemental
- Seat patrons at gaming tables. Supplemental
- Take the house percentage from each pot. Supplemental
Emerging tasks
Newer responsibilities O*NET has flagged as growing for this occupation.
- Provide race or game information to patrons.
- Serve drinks to patrons.
Work activities
- Compute gaming wins and losses.
- Conduct gaming transactions.
- Maintain financial or account records.
- Conduct amusement or gaming activities.
- Respond to customer inquiries.
- Prepare operational reports or records.
- Inspect equipment to ensure proper functioning.
- Operate gaming equipment.
- Mediate disputes.
- Supervise service workers.
- Deliver items.
- Sell products or services.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Customer and Personal Service | 4.1 | |
| Mathematics | 3.9 | |
| English Language | 3.0 | |
| Economics and Accounting | 2.7 | |
| Computers and Electronics | 2.6 | |
| Sales and Marketing | 2.6 |
Abilities
| Oral Comprehension | 4.0 | |
| Oral Expression | 3.8 | |
| Near Vision | 3.6 | |
| Problem Sensitivity | 3.4 | |
| Speech Recognition | 3.4 | |
| Speech Clarity | 3.4 | |
| Information Ordering | 3.3 | |
| Deductive Reasoning | 3.1 | |
| Far Vision | 3.1 | |
| Written Comprehension | 3.0 | |
| Written Expression | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Mathematical Reasoning | 3.0 | |
| Number Facility | 3.0 | |
| Selective Attention | 2.9 | |
| Time Sharing | 2.9 | |
| Perceptual Speed | 2.8 | |
| Finger Dexterity | 2.8 | |
| Category Flexibility | 2.6 | |
| Manual Dexterity | 2.6 |
Essential skills
| Active Listening | 3.5 | |
| Speaking | 3.1 | |
| Monitoring | 3.1 | |
| Mathematics | 3.0 | |
| Writing | 2.9 | |
| Critical Thinking | 2.9 | |
| Reading Comprehension | 2.8 | |
| Active Learning | 2.6 |
Transferable skills
| Social Perceptiveness | 3.0 | |
| Coordination | 3.0 | |
| Service Orientation | 2.9 | |
| Judgment and Decision Making | 2.6 | |
| Persuasion | 2.5 | |
| Complex Problem Solving | 2.5 |
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 |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Windows | Operating system software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Credit card processing software | Point of sale POS software | |
| Web browser software | Internet browser 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.
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.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 87.1% | |
| Some College Courses | 6.6% | |
| Associate's Degree (or other 2-year degree) | 2.8% | |
| Post-Secondary Certificate | 2.0% | |
| Less than a High School Diploma | 1.6% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 6.0 | |
| Enterprising | 5.0 | |
| Social | 2.9 | |
| Realistic | 2.8 |
Interest areas
| Accounting | 3.8 | |
| Personal Service | 2.5 | |
| Office Work | 2.3 | |
| Finance | 2.1 | |
| Sales | 1.8 | |
| Public Speaking | 1.7 | |
| Athletics | 1.6 | |
| Management/Administration | 1.6 | |
| Mathematics/Statistics | 1.5 |
Work styles
| Dependability | 3.0 | |
| Attention to Detail | 2.3 | |
| Integrity | 2.2 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $22,200 |
| 25th percentile | $24,960 |
| Median (50th) | $30,460 |
| 75th percentile | $36,310 |
| 90th percentile | $45,900 |
| People employed | 7,600 |
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 |
|---|---|---|
| Arts, Entertainment, and Recreation · Sector | 5,360 | $29,080 |
| Accommodation and Food Services · Sector | 1,400 | $33,280 |
| Casino Hotels · National industry | 1,360 | $33,280 |
| Other Services (except Public Administration) · Sector | 660 | $30,510 |
| Health Care and Social Assistance · Sector | — | $33,610 |
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 | 81.87× | 1,360 |
| Arts, Entertainment, and Recreation · Sector | 41.16× | 5,360 |
| Other Services (except Public Administration) · Sector | 3.03× | 660 |
| Accommodation and Food Services · Sector | 2× | 1,400 |
Related occupations
Part of the Hospitality, Events, & Tourism career cluster.
- Gambling Dealers · 39-3011.00 Compare →
- Gambling Cage Workers · 43-3041.00 Compare →
- Gambling Change Persons and Booth Cashiers · 41-2012.00 Compare →
- Gambling Managers · 11-9071.00 Compare →
- First-Line Supervisors of Gambling Services Workers · 39-1013.00 Compare →
- Tellers · 43-3071.00 Compare →
- Cashiers · 41-2011.00 Compare →
- Amusement and Recreation Attendants · 39-3091.00 Compare →
- Umpires, Referees, and Other Sports Officials · 27-2023.00 Compare →
- Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop · 35-9031.00 Compare →
- Securities, Commodities, and Financial Services Sales Agents · 41-3031.00 Compare →
- Credit Authorizers, Checkers, and Clerks · 43-4041.00 Compare →
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 Gambling and Sports Book Writers and Runners — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
Zoom out
On the global GenAI exposure gradient this work sits around the 83rd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Gambling and Sports Book Writers and Runners show 56th-percentile AI task overlap — and about 1,200 annual U.S. openings
- Gambling and Sports Book Writers and Runners rank in the 56th 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 1,200 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 declining (-6.1%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $30,460, across about 7,600 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Gambling and Sports Book Writers and Runners show 56th-percentile AI task overlap — and about 1,200 annual U.S. openings • Gambling and Sports Book Writers and Runners rank in the 56th 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 1,200 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 declining (-6.1%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $30,460, across about 7,600 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Gambling and Sports Book Writers and Runners". https://singulariki.com/roles/role-39-3012-00 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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Gambling and Sports Book Writers and Runners." 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; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-39-3012-00
APA
Singulariki. (2026). Gambling and Sports Book Writers and Runners. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-3012-00
BibTeX
@misc{singulariki-role-39-3012-00,
title = {Gambling and Sports Book Writers and Runners},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-39-3012-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.