EXPOSURE TO AI
43%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
43% 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
- Perform paperwork required for monetary transactions
- Explain and interpret house rules, such as game rules or betting limits, for patrons
- Answer patrons' questions about gaming machine functions and payouts
- Record the specifics of malfunctioning machines and document malfunctions needing repair
- Evaluate workers' performance and prepare written performance evaluations
WHAT IT STILL CAN’T
- Observe gamblers' behavior for signs of cheating, such as marking, switching, or counting cards, and notify security staff of suspected cheating
- Greet customers and ask about the quality of service they are receiving
- Perform minor repairs or make adjustments to slot machines, resolving problems such as machine tilts and coin jams
- Reset slot machines after payoffs
- Monitor patrons for signs of compulsive gambling, offering assistance if necessary
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 43% 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