Gambling and Sports Book Writers and Runners
Also called: Casino Attendant, Casino Floor Runner, Floor Runner, Keno RunnerPost 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.
On a phone, press and hold a picture to save it to Photos.
opens your phone's share sheet, where you can save both to Photos
What the data says: AI could halve the time on 8 of its 17 tasks, and jobs are projected to grow 1.8% by 2035. How to think about this →
About this projection
BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”
It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”
On its AI exposure groups, BLS says exposure “does not imply job loss.”
Recent conditions
- In 2024, 7.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Other entertainment attendants and related workers”
- From Sep 2025 to Aug 2026, 11.1 hires for every 10 job openings in arts, entertainment, and recreation, which employs about 76% of people in this work, against 7.3 across all industries BLS JOLTS
One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.11.1 this industry7.3 all industries
Median pay by state BLS OEWS May 2025, state estimates
Tap a state for its figures.
Median pay in every state
| State | Median | Middle half earn | Jobs |
|---|---|---|---|
| Arizona | $35,640 | $33,030 to $37,000 | 260 |
| California | $44,860 | $37,880 to $44,860 | 1,480 |
| Colorado | $34,450 | $32,480 to $34,460 | not published |
| Connecticut | $34,420 | $34,010 to $35,430 | 70 |
| Florida | $34,160 | $29,800 to $36,100 | not published |
| Illinois | $34,610 | $31,870 to $37,980 | 130 |
| Indiana | $32,730 | $26,780 to $35,240 | 90 |
| Iowa | $37,440 | $31,090 to $38,980 | 100 |
| Kansas | $31,550 | $26,880 to $33,620 | 40 |
| Kentucky | $37,910 | $35,060 to $38,420 | 60 |
| Louisiana | $26,620 | $15,910 to $29,780 | 180 |
| Maryland | $35,230 | $32,600 to $36,720 | not published |
| Massachusetts | $47,720 | $39,400 to $49,320 | not published |
| Michigan | $37,720 | $34,240 to $37,920 | not published |
| Minnesota | $35,370 | $29,680 to $47,940 | 350 |
| Mississippi | $28,340 | $24,570 to $29,890 | 110 |
| Montana | $22,030 | $21,940 to $22,310 | 1,050 |
| Nebraska | $29,670 | $29,120 to $30,610 | 360 |
| Nevada | $37,500 | $28,500 to $46,070 | 1,440 |
| New Jersey | $48,260 | $36,190 to $57,880 | 90 |
| New York | $54,740 | $39,180 to $63,430 | 100 |
| North Dakota | $30,640 | $26,740 to $33,280 | 110 |
| Ohio | $38,460 | $34,980 to $66,070 | 360 |
| Pennsylvania | $30,690 | $27,420 to $39,570 | 90 |
| South Carolina | $33,650 | $29,850 to $36,230 | 130 |
| South Dakota | $30,620 | $29,050 to $34,850 | 80 |
| Texas | $30,660 | $25,270 to $37,760 | 440 |
| Washington | $42,180 | $38,180 to $46,280 | 220 |
| West Virginia | $19,740 | $19,290 to $31,130 | 180 |
| Wisconsin | $47,250 | $33,450 to $47,280 | 80 |
Nationally: $34,980. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this
How AI touches the work
What AI could speed up, task by task, and where people already use it.
AI could halve the time on 8 of its 17 tasks
| AI rating | Its main tasks | Share of Claude conversations May 2026 |
|---|---|---|
| AI alone | Answer questions about game rules or casino policies. | under 0.01% |
| Not much | 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. | Not published |
| Not much | Pay off or move bets as established by game rules and procedures. | Not published |
| Not much | Collect cards or tickets from players. | Not published |
| Not much | Check to ensure that all players have placed their bets before play begins. | Not published |
| AI + software | Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors. | Not published |
See all 17 tasks
| Not much | Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed. | Not published |
| AI + software | Collect bets in the form of cash or chips, verifying and recording amounts. | Not published |
| AI + software | Record the number of tickets cashed and the amount paid out after each race or event. | Not published |
| AI + software | Supervise staff and games and mediate disputes. | Not published |
| AI + software | Prepare collection reports for submission to supervisors. | Not published |
| Not much | Inspect cards or equipment to be used in games to ensure they are in proper condition. O*NET flags this task's ratings as uncertain | Not published |
| Not much | 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. O*NET flags this task's ratings as uncertain | Not published |
| AI + software | Exchange paper currency for playing chips or coins. O*NET flags this task's ratings as uncertain | Not published |
| Not much | Open or close cash floats or game tables. O*NET flags this task's ratings as uncertain | Not published |
| AI + software | Take the house percentage from each pot. O*NET flags this task's ratings as uncertain | Not published |
| Not much | Compare the house hand with players' hands to determine the winner. O*NET flags this task's ratings as uncertain | Not published |
Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 1 of the 17 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.
Where people already use AI
The tasks above say what AI could speed up. This shows what people are using it for. Its 17 tasks fall under 9 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.
- #3 Respond to customer problems or inquiries
- #49 Calculate financial data
| Work activity | This occupation's tasks under it | People asked AI for help in 10,000 conversations |
AI did it for them in 10,000 conversations |
|---|---|---|---|
| Conduct amusement or gaming activities | |||
| Execute financial transactions | |||
| Calculate financial data | |||
| Maintain sales or financial records | |||
| Respond to customer problems or inquiries | |||
| Prepare reports of operational or procedural activities | |||
| Inspect commercial, industrial, or production systems or equipment | |||
| Mediate disputes |
Show all 9 activities
| Supervise personnel activities |
How people in this work use Claude
What people in this work made with Claude % of conversations
- An explanation or answer50%
- A game or something interactive18%
- Advice or a recommendation8%
- Data or a spreadsheet4%
- An analysis or summary3%
How they worked with Claude
6% of these conversations were about work. Anthropic Economic Index, May 2026.
How to read this
Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for gambling and sports book writers and runners specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.
The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.
More in the Guide: task ratings · task order · work activities · Copilot figures · Claude
High exposure doesn't mean fewer jobs
BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.
Career moves into and out of this occupation
From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.
Where people moved next
of 958 moves out
- 1 Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Very high -6.0% 9%
- 2 Computer Occupations, All Other (2010 group) an older group BLS has since split; no exposure group today 7%
- 3 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 7%
- 4 Political Scientists Very high -2.0% 5%
- 5 General and Operations Managers High +5.0% 4%
Where people moved in from
of 970 moves in
- 1 Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Very high -6.0% 14%
- 2 Nursing Assistants Low +2.6% 7%
- 3 Computer Occupations, All Other (2010 group) an older group BLS has since split; no exposure group today 4%
- 4 Retail Salespersons Very high -0.3% 4%
- 5 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 3%
Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).
Education and training for the occupation
O*NET survey of workers in this occupation
- 2% less than high school
- 87% high school
- 2% postsecondary certificate
- 7% some college
- 3% associate's
O*NET 31.0 survey of workers in this occupation · 33 people answered.
Census survey (American Community Survey)
- 17% less than high school
- 29% high school
- 29% some college
- 7% associate's
- 16% bachelor's
- 2% master's
Census ACS 2024, all workers in the Census group “Other entertainment attendants and related workers” · 3,124 people surveyed.
Why the two can differ
O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide
Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Other entertainment attendants and related workers”
Jobs that require a credential BLS Occupational Requirements Survey 2023
BLS publishes no credential figures for this occupation.
Look up certifications, training and licenses U.S. Department of Labor
- Certification Finder ↗ certifications CareerOneStop lists for this occupation
- Training Finder ↗ schools and programs, nationwide; narrow the place there
- License Finder ↗ licenses by state
- Apprenticeships: DOL's list of apprenticeable occupations doesn't include this one.
These open in a new tab and send only the occupation's public code. More in the Guide
BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS
See it online, and explore any career: https://www.pathmosaic.com/card/39-3012.00