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AI exposure Management

Will AI replace gambling managers?

Gambling Managers. US occupation 11-9071.

0.0%

of the time gambling managers spend on their work goes on tasks where AI is already being used to do that work.of gambling managers' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for gambling managersWhat gambling managers no longer do alone

O*NET lists 19 tasks for gambling managers. AI use at work shows up in 1 of them, though too little of the job's time goes on them to register in the exposure figure. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Resolve customer complaints regarding problems, such as payout errors.Core task automated and assisted 0.72

What it does not touch, yetWhat still needs a human

18 of the 19 tasks show no AI use at work in the data.

  • 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.Core task
  • Establish policies on issues, such as the type of gambling offered and the odds, the extension of credit, or the serving of food and beverages.Core task
  • Explain and interpret house rules, such as game rules or betting limits.Core task
  • Interview and hire workers.Core task
  • Maintain familiarity with all games used at a facility, as well as strategies or tricks employed in those games.Core task
  • Market or promote the casino to bring in business.Core task
Show the other 12
  • Monitor staffing levels to ensure that games and tables are adequately staffed for each shift, arranging for staff rotations and breaks and locating substitute employees as necessary.Core task
  • Prepare work schedules and station arrangements and keep attendance records.Core task
  • Remove suspected cheaters, such as card counters or other players who may have systems that shift the odds of winning to their favor.Core task
  • Track supplies of money to tables and perform any required paperwork.Core task
  • Train new workers or evaluate their performance.Core task
  • Circulate among gaming tables to ensure that operations are conducted properly, that dealers follow house rules, or that players are not cheating.
  • Direct the compilation of summary sheets that show wager amounts and payoffs for races or events.
  • Monitor credit extended to players.
  • Notify board attendants of table vacancies so that waiting patrons can play.
  • Record, collect, or pay off bets, issuing receipts as necessary.
  • Review operational expenses, budget estimates, betting accounts, or collection reports for accuracy.
  • Set and maintain a bank and table limit for each game.

How that compares

Among the 35 management occupations, gambling managers rank 32. The group averages 9.8%, and its most exposed job is Financial Managers at 39.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Gambling and Sports Book Writers and Runners 0.0%
  2. 346Gambling Change Persons and Booth Cashiers 0.0%
  3. 346Gambling Dealers 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.