EXPOSURE TO AI
14%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
14% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Compute amounts of players' wins or losses, or scan winning tickets presented by patrons to calculate the amount of money won
- Answer questions about game rules and casino policies
- Prepare collection reports for submission to supervisors
WHAT IT STILL CAN’T
- Pay winnings or collect losing bets as established by the rules and procedures of a specific game
- Greet customers and make them feel welcome
- Exchange paper currency for playing chips or coin money
- Check to ensure that all players have placed bets before play begins
- Inspect cards and equipment to be used in games to ensure that they are in good condition
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 14% 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