OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
26% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations
- Reconcile daily summaries of transactions to balance books
- Calculate the value of chips won or lost by players
- Accept credit applications and verify credit references to provide check-cashing authorization or to establish house credit accounts
WHAT IT STILL CAN’T
- Count money and audit money drawers
- Check identifications to verify age of players
- Exchange money, credit, tickets, or casino chips and make change for customers
- Maintain cage security according to rules
- Obtain customers' signatures on receipts when winnings exceed the amount held in a slot machine
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 26% 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