Gaming Managers
ManagementAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.32
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 64% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Exposed tasks only| Task | Claude.aiRaw / share % |
|---|---|
Resolve customer complaints regarding problems such as payout errors.11-9071 | 0.006571.6 |
Market or promote the casino to bring in business.11-9071 | 0.002628.4 |
| Not observed on any surface — 17 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Remove suspected cheaters, such as card counters or other players who may have systems that shift the odds of winning to their favor. | —0 |
Maintain familiarity with all games used at a facility, as well as strategies or tricks employed in those games. | —0 |
Train new workers or evaluate their performance. | —0 |
Circulate among gaming tables to ensure that operations are conducted properly, that dealers follow house rules, or that players are not cheating. | —0 |
Explain and interpret house rules, such as game rules or betting limits. | —0 |
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. | —0 |
Interview and hire workers. | —0 |
Prepare work schedules and station arrangements and keep attendance records. | —0 |
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. | —0 |
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. | —0 |
Track supplies of money to tables and perform any required paperwork. | —0 |
Set and maintain a bank and table limit for each game. | —0 |
Review operational expenses, budget estimates, betting accounts, or collection reports for accuracy. | —0 |
Monitor credit extended to players. | —0 |
Record, collect, or pay off bets, issuing receipts as necessary. | —0 |
Direct the compilation of summary sheets that show wager amounts and payoffs for races or events. | —0 |
Notify board attendants of table vacancies so that waiting patrons can play. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Maintain familiarity with all games used at a facility, as well as strategies or tricks employed in those games.O*NET Task ID 7187 | 1.0 |
Explain and interpret house rules, such as game rules or betting limits.O*NET Task ID 7190 | 1.0 |
Prepare work schedules and station arrangements and keep attendance records.O*NET Task ID 7193 | 1.0 |
Track supplies of money to tables and perform any required paperwork.O*NET Task ID 7196 | 1.0 |
Set and maintain a bank and table limit for each game.O*NET Task ID 7197 | 1.0 |
Direct the compilation of summary sheets that show wager amounts and payoffs for races or events.O*NET Task ID 7201 | 1.0 |
Resolve customer complaints regarding problems, such as payout errors.O*NET Task ID 7185 | 0.5 |
Train new workers or evaluate their performance.O*NET Task ID 7188 | 0.5 |
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.O*NET Task ID 7191 | 0.5 |
Interview and hire workers.O*NET Task ID 7192 | 0.5 |
Remove suspected cheaters, such as card counters or other players who may have systems that shift the odds of winning to their favor.O*NET Task ID 7186 | 0.0 |
Circulate among gaming tables to ensure that operations are conducted properly, that dealers follow house rules, or that players are not cheating.O*NET Task ID 7189 | 0.0 |
Record, collect, or pay off bets, issuing receipts as necessary.O*NET Task ID 7200 | 0.0 |
Notify board attendants of table vacancies so that waiting patrons can play.O*NET Task ID 7202 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page