Will AI replace gambling change persons and booth cashiers?AI replacement risk 51% and how the work is changing
Median annual pay
$36,220
25th–75th pct. $29,630–$41,530
Top pay (est.)
$78,400
Top 10% $60,330
Pay in 5 years
$41,300est.
2031
Pay in 10 years
$47,200est.
$40,600–$54,800
Outlook score
36/100
★★☆☆☆ Below average
AI replacement risk
51%
Moderate
Job growth (10 yr)
−1.9%
3,900 openings / yr
Will AI replace Gambling Change Persons and Booth Cashiers? AI replacement risk
51%
Moderate
Ranked #536 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high
How AI is changing this job
A written analysis for this occupation is being prepared.
AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →
Skills, education and requirements for Gambling Change Persons and Booth Cashiers
Key skills
O*NET skill level ratings (0–7).
Key knowledge areas
What the work involves
Establishing and Maintaining Interpersonal RelationshipsPerforming for or Working Directly with the PublicEvaluating Information to Determine Compliance with StandardsCommunicating with Supervisors, Peers, or SubordinatesMaking Decisions and Solving ProblemsProcessing InformationUpdating and Using Relevant KnowledgeResolving Conflicts and Negotiating with Others
Important abilities
Oral ExpressionOral ComprehensionNear VisionFar VisionSpeech ClarityNumber Facility
Education of workers
Training before entry
Related work experience
Job Zone 2 — some preparation needed (O*NET)
Difficulty of entry: ★☆☆☆☆ Easy to enter (from education, training, experience and Job Zone)
Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.