OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
27% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Answer questions about game rules or casino policies
- Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors
- Record the number of tickets cashed and the amount paid out after each race or event
- Prepare collection reports for submission to supervisors
- Compare the house hand with players' hands to determine the winner
WHAT IT STILL CAN’T
- Collect cards or tickets from players
- Collect bets in the form of cash or chips, verifying and recording amounts
- Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed
- 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
- Seat patrons at gaming tables
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 27% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16