Headline risk
56%
Very High RiskGambling change persons and booth cashiers
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Exchange coins, tokens, and chips for patrons' money. May issue payoffs and obtain customer's signature on receipt. May operate a booth in the slot machine area and furnish change persons with money bank at the start of the shift, or count and audit money in drawers.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 34,810
Employment 2024
22.6K
Projected Change (2024–34)
-6.4%
Openings (2024–34)
4.0K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Exchange money, credit, tickets, or casino chips and make change for customers. AI use: 0%
- 2. Count money and audit money drawers. AI use: 0%
- 3. Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations. AI use: 0%
- 4. Check identifications to verify age of players. AI use: 0%
- 5. Maintain cage security according to rules. AI use: 0%
- 6. Reconcile daily summaries of transactions to balance books. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 41.0 · 962K employed
Under 25: 16% · 25–54: 59% · 55+: 25%
Related
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.