Gambling and Sports Book Writers
Business & Financial OperationsAI 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
0.45
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, 25% 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 onlyValues 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 |
|---|---|
Answer questions about game rules or casino policies.O*NET Task ID 8009 | 1.0 |
Compare the house hand with players' hands to determine the winner.O*NET Task ID 8010 | 1.0 |
Prepare collection reports for submission to supervisors.O*NET Task ID 8013 | 1.0 |
Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors.O*NET Task ID 8018 | 1.0 |
Record the number of tickets cashed and the amount paid out after each race or event.O*NET Task ID 8019 | 1.0 |
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.O*NET Task ID 20596 | 0.5 |
Collect bets in the form of cash or chips, verifying and recording amounts.O*NET Task ID 8007 | 0.0 |
Collect cards or tickets from players.O*NET Task ID 8008 | 0.0 |
Check to ensure that all players have placed their bets before play begins.O*NET Task ID 8011 | 0.0 |
Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed.O*NET Task ID 8012 | 0.0 |
Pay off or move bets as established by game rules and procedures.O*NET Task ID 8014 | 0.0 |
Inspect cards or equipment to be used in games to ensure they are in proper condition.O*NET Task ID 8015 | 0.0 |
Exchange paper currency for playing chips or coins.O*NET Task ID 8016 | 0.0 |
Open or close cash floats or game tables.O*NET Task ID 8017 | 0.0 |
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 Task ID 8020 | 0.0 |
Supervise staff and games and mediate disputes.O*NET Task ID 8021 | 0.0 |
Push dice to shooters and retrieve thrown dice.O*NET Task ID 8022 | 0.0 |
Deliver tickets, cards, and money to bingo callers.O*NET Task ID 8023 | 0.0 |
Participate in games for gambling establishments to provide the minimum complement of players at a table.O*NET Task ID 8024 | 0.0 |
Take the house percentage from each pot.O*NET Task ID 8025 | 0.0 |
Sell food, beverages, or tobacco to players.O*NET Task ID 8026 | 0.0 |
Seat patrons at gaming tables.O*NET Task ID 8027 | 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®, Eloundou et al. (2023): see full notices on the Credits page