Will AI replace Gambling and Sports Book Writers and Runners?
AI reaches some of this job’s work, but most of it stays with people.
30/100
Moderate exposure
More exposed to AI than 46% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 49% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(8)
- Answer questions about game rules or casino policies.
- Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors.
- Collect bets in the form of cash or chips, verifying and recording amounts.
- Record the number of tickets cashed and the amount paid out after each race or event.
- Supervise staff and games and mediate disputes.
and 3 more
Out of reach(9)
- 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.
- Pay off or move bets as established by game rules and procedures.
- Collect cards or tickets from players.
- Check to ensure that all players have placed their bets before play begins.
- Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed.
and 4 more
Also called
Bingo Caller · Keno Runner · Sports Book Writer · Casino Floor Runner · Bet Taker · Betting Clerk · Bookie · Bookmaker
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics