EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
7%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
42% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Provide customers with information about casino operations
- Prepare reports, including assignment of company funds or recording of department revenues
- Count funds and reconcile daily summaries of transactions to balance books
- Prepare bank deposits, balancing assigned funds as necessary
- Verify accuracy of reports, such as authorization forms, transaction reconciliations, or exchange summary reports
WHAT IT STILL CAN’T
- Maintain cage security
- Supply currency, coins, chips, or gaming checks to other departments as needed
- Provide assistance in the training and orientation of new cashiers
- Follow all gaming regulations
- Convert gaming checks, coupons, tokens, or coins to currency for gaming patrons
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 42% 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