Will AI replace Gambling Managers?
Estimated risk score: 68 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (49 to 87).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 11-9071.00 · Management
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 11 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Explain and interpret house rules, such as game rules or betting limits.
- Prepare work schedules and station arrangements and keep attendance records.
- Set and maintain a bank and table limit for each game.
- Track supplies of money to tables and perform any required paperwork.
- Direct the compilation of summary sheets that show wager amounts and payoffs for races or events.
- Direct the distribution of complimentary hotel rooms, meals, or other discounts or free items given to players, based on their length of play and betting totals.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 19 rated tasks. In O*NET’s words.
- Circulate among gaming tables to ensure that operations are conducted properly, that dealers follow house rules, or that players are not cheating.
- Remove suspected cheaters, such as card counters or other players who may have systems that shift the odds of winning to their favor.
What the job is
Plan, direct, or coordinate gambling operations in a casino. May formulate house rules.
Also called: Casino Shift Manager, Pit Manager, Cage Manager, Dice Manager, Keno Manager, Bingo Manager, Craps Manager, Poker Manager.
Closest jobs we score by hand
In the same field (Management). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate