OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
57% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Explain and interpret house rules, such as game rules or betting limits
- Track supplies of money to tables and perform any required paperwork
- Prepare work schedules and station arrangements and keep attendance records
- Set and maintain a bank and table limit for each game
- Maintain familiarity with all games used at a facility, as well as strategies or tricks employed in those games
WHAT IT STILL CAN’T
- Circulate among gaming tables to ensure that operations are conducted properly, that dealers follow house rules, or that players are not cheating
- Remove suspected cheaters, such as card counters or other players who may have systems that shift the odds of winning to their favor
- Record, collect, or pay off bets, issuing receipts as necessary
- Notify board attendants of table vacancies so that waiting patrons can play
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 57% 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