AI exposure by occupation, O*NET 39-3012.00
Will AI replace Gambling and Sports Book Writers and Runners?
Gambling and Sports Book Writers and Runners: AI can already handle 2 of 18 tasks; the work mostly needs an efficient-tier model.
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Every task, scored
The 18 tasks O*NET 30.3 lists for Gambling and Sports Book Writers and Runners, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Collect bets in the form of cash or chips, verifying and recording amounts. | Estimated | Efficient | |
| 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. | Estimated | Standard | |
| Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed. | Estimated | Efficient | |
| 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. | Estimated | Efficient | |
| Exchange paper currency for playing chips or coins. | Estimated | Efficient | |
| Compare the house hand with players' hands to determine the winner. | Estimated | Efficient | |
| Open or close cash floats or game tables. | Estimated | Efficient | |
| Pay off or move bets as established by game rules and procedures. | Estimated | Efficient | |
| Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors. | Estimated | Efficient | |
| Check to ensure that all players have placed their bets before play begins. | Estimated | Efficient | |
| Collect cards or tickets from players. | Estimated | Efficient | |
| Record the number of tickets cashed and the amount paid out after each race or event. | Estimated | Efficient | |
| Answer questions about game rules or casino policies. | Estimated | Efficient | |
| Prepare collection reports for submission to supervisors. | Estimated | Efficient | |
| Deliver tickets, cards, and money to bingo callers. | Estimated | Efficient | |
| Sell food, beverages, or tobacco to players. | Estimated | Standard | |
| Supervise staff and games and mediate disputes. | Estimated | Standard | |
| Inspect cards or equipment to be used in games to ensure they are in proper condition. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 85% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 8,950
- Median annual wage
- $34,980
- Middle half of earners
- $28,150 to $44,840
- Projected change, 2024 to 2034
- -6.1%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Gambling Dealers 70% skill overlap, about 11 months to move Exposure37
- Gambling Change Persons and Booth Cashiers 69% skill overlap, about 11 months to move Exposure72
- Gambling Cage Workers 68% skill overlap, about 12 months to move Exposure66
- First-Line Supervisors of Gambling Services Workers 67% skill overlap, about 12 months to move Exposure49
- Gambling Managers 64% skill overlap, about 13 months to move Exposure68
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Gambling and Sports Book Writers and Runners and AI
Will AI replace Gambling and Sports Book Writers and Runners?
AI already handles 2 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 35 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -6.1% from 2024 to 2034.
What is the AI exposure of Gambling and Sports Book Writers and Runners?
35 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.
Which Gambling and Sports Book Writers and Runners tasks can AI already do?
The tasks with the highest exposure are: Collect bets in the form of cash or chips, verifying and recording amounts; 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. They are the tasks that reach 60 or more.
What AI model tier does this role need?
An efficient-tier model or lower covers 85% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Gambling and Sports Book Writers and Runners, and what do they earn?
8,950 people in the United States, with a median annual wage of $34,980 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -6.1% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Gambling and Sports Book Writers and Runners. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/gambling-and-sports-book-writers-and-runners
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