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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.
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