Escriturários de Apostas Esportivas
Negócios e FinançasExposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Alto· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: 2026-03
0.000
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
- Fonte dos dados: ILOPublicado: 2025
0.45
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 25% atingem ou superam este valor.
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
Apenas tarefas expostas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer questions about game rules or casino policies.39-3012 | 0.00000.0 | 0.0100100.0 |
Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed. | —0 | 0.00000.0 |
| Not observed on any surface — 16 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. | ||
Collect bets in the form of cash or chips, verifying and recording amounts. | —0 | —0 |
Collect cards or tickets from players. | —0 | —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. | —0 | —0 |
Compare the house hand with players' hands to determine the winner. | —0 | —0 |
Check to ensure that all players have placed their bets before play begins. | —0 | —0 |
Prepare collection reports for submission to supervisors. | —0 | —0 |
Pay off or move bets as established by game rules and procedures. | —0 | —0 |
Inspect cards or equipment to be used in games to ensure they are in proper condition. | —0 | —0 |
Exchange paper currency for playing chips or coins. | —0 | —0 |
Open or close cash floats or game tables. | —0 | —0 |
Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors. | —0 | —0 |
Record the number of tickets cashed and the amount paid out after each race or event. | —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. | —0 | —0 |
Supervise staff and games and mediate disputes. | —0 | —0 |
Deliver tickets, cards, and money to bingo callers. | —0 | —0 |
Sell food, beverages, or tobacco to players. | —0 | —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 |
|---|---|
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page