Rédacteurs de Paris Sportifs
Affaires et FinancesExposition à l'IA
- Source des données: BLSPublié: 2026-08
Élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: 2026-03
0.000
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: 2025
0.45
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 25% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| 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