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Will AI replace Gambling Change Persons and Booth Cashiers?

Exchange coins, tokens, and chips for patrons' money. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 41-2012.00 · modeled exposure, not guaranteed job loss
HIGH TASK EXPOSURE
66%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
66%Automatable
Automatable66%
Augmentable12%
Hard to automate22%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Marketing & Sales
Growth & Revenue
Modeled pay midpoint$
$86,900/yr
Directional estimate — verify locally
Time until impact⌁
0–2 years
Earliest 2026 · widespread 2026–2027
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations.76%
⚙Exchange money, credit, tickets, or casino chips and make change for customers.66%
▥Count money and audit money drawers.55%
✦Trust, persuasion, and relationship context12%
✦Reading live customer signals8%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2026Next2026–2027
Early impactAI assists with keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations..
Role compressionRoutine workload shifts to AI-assisted systems.
Wider adoptionHuman work concentrates on trust, persuasion, and relationship context.
0–2 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Gambling Change Persons and Booth Cashiers.
02>AI can help with: Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Trust, persuasion, and relationship context.
05>Likely result: This role may shrink or change quickly, but job loss is not guaranteed.
06>Important: 66% is estimated task exposure—not a 66% chance of losing the job.
What AI can do
Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations.MEDIUM-HIGH
Exchange money, credit, tickets, or casino chips and make change for customers.MEDIUM-HIGH
Count money and audit money drawers.MEDIUM
How estimates work →
Your human moat
◆

Trust, persuasion, and relationship context

MEDIUM-HIGH

Combined with reading live customer signals, this keeps a human in the loop.

Strength7.4
Similar-role comparison
RoleRisk
Gambling Change Persons and Booth Cashiers66%
Counter and Rental Clerks69%
Cashiers71%
E-commerce Manager60%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓A large share of the work is digital and repeatable.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is trust, persuasion, and relationship context.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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