Gambling and Sports Book Writers and Runners
In short: today's best AI models could do about 26% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 74% of the time, stays with people.
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.
8,950 people do this job in the US. $34,980 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on11 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people29 h
Gambling and Sports Book Writers and Runners, now: of a 40-hour week, AI could take on 11 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 29 hours stay with people.
The largest pieces: Prepare collection reports for submission to supervisors (about 5 h); 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 (about 3 h); Record the number of tickets cashed and the amount paid out after each race or event (about 2 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 26%
- 0%
- 74%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 11%. With Claude Mythos Preview (early), measured in April 2026, 26%. Today's estimate: 26%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 17 tasks showed up. Within each of Anthropic's methods, never across a change: none to 0.0025% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | none | n/a | 0 of 17 |
| Released March 2025 | none | n/a | 0 of 17 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 17 |
| The week of Nov 13, 2025 (released January 2026) | 0.0023% | 634 of 672 | 1 of 17 |
| The week of Feb 5, 2026 (released March 2026) | 0.0025% | 632 of 677 | 1 of 17 |
| April 2026 (released June 2026) | none | n/a | 0 of 17 |
| May 2026 (released June 2026) | none | n/a | 0 of 17 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 78% of this job's working time as physical work. For 78% of the working time, a robot has been shown doing most of the task somewhere: 19% in a purpose-built cell, 59% in a structured facility. 1.37 of 3, the 33rd highest of the 923 jobs.
- Not physical 22%
- In a purpose-built cell 19%
- In a structured facility 59%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 17 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed.Done hourly or more by most who do it.Robots: in a purpose-built cell, Viper Keno Lottery Machine (Smartplay International) (sold). Anthropic's rating. | 37% | 38 min13 min to 1.7 h | Stays with people | |
| Supervise staff and games and mediate disputes.Done daily by most who do it. | 14% | 25 min8 min to 50 min | Stays with people | |
| Prepare collection reports for submission to supervisors.Done daily by most who do it. | 12% | 33 min13 min to 1.3 h | 100%Half by now | |
| 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.Done hourly or more by most who do it. Robots: in a structured facility, Potawatomi Sportsbook self-service betting kiosks (deployed). Anthropic's rating. | 7% | 4 min2 min to 13 min | 100%Half by now | |
| Pay off or move bets as established by game rules and procedures.Done hourly or more by most who do it.Robots: in a structured facility, Race and sports book self-service kiosks (regulated as writer/cashier stations) (Nevada Gaming Control Board) (deployed). Anthropic's rating. | 5% | 3 min1 min to 8 min | Stays with people | |
| Record the number of tickets cashed and the amount paid out after each race or event.Done daily by most who do it. | 4% | 7 min3 min to 17 min | 100%Half by now | |
| Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors.Done hourly or more by most who do it.Robots: in a structured facility, Smartplay Viper Keno lottery/keno draw machine (sold). Anthropic's rating. | 4% | 4 min2 min to 8 min | Stays with people | |
| Collect cards or tickets from players.Done hourly or more by most who do it. Robots: in a purpose-built cell, Liberty Vote (Dominion) ImageCast Evolution (ICE) (deployed). Anthropic's rating. | 4% | 3 min1 min to 7 min | Stays with people | |
| Answer questions about game rules or casino policies.Done daily by most who do it. | 3% | 4 min2 min to 13 min | 100%Half by now | |
| Check to ensure that all players have placed their bets before play begins.Done daily by most who do it. | 2% | 3 min1 min to 7 min | Stays with people | |
| 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.Done daily by most who do it.Robots: in a purpose-built cell, Interblock Diamond Roulette (automated roulette generator) (sold). Anthropic's rating. | 2% | 4 min2 min to 8 min | Stays with people | |
| Collect bets in the form of cash or chips, verifying and recording amounts.Done daily by most who do it.Robots: in a structured facility, IGT PlaySports self-service betting kiosk (QuickBet Kiosk) (International Game Technology) (sold). Anthropic's rating. | 2% | 3 min1 min to 8 min | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Gambling and Sports Book Writers and Runners is within reach of AI now?
- An estimated 26% of the working time is within reach of AI models now and 26% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Gambling and Sports Book Writers and Runners come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Prepare collection reports for submission to supervisors (100% of the task's time now); 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 (100% of the task's time now); and Record the number of tickets cashed and the amount paid out after each race or event (100% of the task's time now).
- Which tasks of Gambling and Sports Book Writers and Runners stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed; Supervise staff and games and mediate disputes; and Pay off or move bets as established by game rules and procedures. Together such tasks are about 74% of the working time.
- Do people already use AI for the work of Gambling and Sports Book Writers and Runners?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Gambling and Sports Book Writers and Runners?
- Anthropic's robot exposure rating (September 2026) finds 78% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 78% of the working time, 59% in a structured facility. Its index is 1.37 of 3. One example: Potawatomi Sportsbook self-service betting kiosks for "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". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 17 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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