Gambling Change Persons and Booth Cashiers

Highest risk Lowest scored Low pay & highrisk
Imminent Risk
Low High

Explore safer careers (4)

Lower estimated automation risk

First-Line Supervisors of Gambling Services Workers
52% automation risk | Moderate Risk
Pays better Higher growth
28.2 pts lower View career
Why it fits

Plausible for experienced booth cashiers who already coordinate banks, shifts, compliance, and escalations.

Gambling Surveillance Officers and Gambling Investigators
59% automation risk | Moderate Risk
Pays better Higher growth
21.2 pts lower View career
Why it fits

Uses gaming-floor procedures, transaction irregularity awareness, compliance mindset, and incident reporting.

Hotel, Motel, and Resort Desk Clerks
65% automation risk | High Risk
Higher growth More jobs
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Why it fits

Fits casino-resort workers with guest service, payment handling, status updates, and complaint resolution.

Credit Authorizers, Checkers, and Clerks
74% automation risk | High Risk
Pays better
6.5 pts lower View career
Why it fits

Transfers identity checks, transaction review, record accuracy, and rule-based approval workflows.

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Occupation snapshot

What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
0.9/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

Risk & user votes

Calculated automation risk

80% (Imminent Risk)

Imminent Risk (81-100%): This occupation appears highly exposed to end-to-end replacement by AI, software, robotics, or other computer-controlled systems. Roles in this range often involve predictable, repeatable, or rules-based work with limited need for human judgement, trust, creativity, or adaptation to messy real-world conditions. This does not mean every job will disappear immediately, but it is a strong signal to consider safer alternatives or start building more resilient skills.

More information on what this score is, and how it is calculated is available here.

Human strengths important in this job

These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.

Working directly with the public

Very important
Why this matters
The job involves face-to-face interaction with customers, clients, or guests—answering questions, handling requests, and managing service situations in real time. Roles with frequent public interaction are harder to replace end-to-end because they rely on trust, communication, and adapting to unpredictable human needs.
Jobs that also use this strength

Assisting and caring for others

Quite important
Why this matters
Provide hands-on help, emotional support, or personal care to people—work that depends on empathy, trust, and responding to individual needs in the moment.
Jobs that also use this strength

Decision-making and problem solving

Quite important
Why this matters
Analyze information, weigh tradeoffs, and choose the best solution—especially when situations are ambiguous, high-stakes, or have real-world consequences.
Jobs that also use this strength

Coaching and developing others

Quite important
Why this matters
Helps people learn and improve through coaching, mentoring, and feedback. This relies on trust, motivation, and adapting guidance to each person—work that’s hard to replace end-to-end with automation.
Jobs that also use this strength

What users think

Based on 25 votes

83% chance of full automation within the next two decades

Our visitors have voted that it's very probable this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 80% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Gambling Change Persons and Booth Cashiers will be replaced by robots or artificial intelligence within the next 20 years?

View sentiment trend

Pay & outlook

Wages

Very low paid relative to other professions

In 2024, the median annual wage for Gambling Change Persons and Booth Cashiers was $34,810 ($17 per hour).

The median annual wage for Gambling Change Persons and Booth Cashiers was 29.7% lower than the national median annual wage, which stood at $49,500.

View wage trend

Wages over time

* Data from the Bureau of Labor Statistics

Growth

Very slow growth relative to other professions.

The number of 'Gambling Change Persons and Booth Cashiers' job openings is expected to decline 6.4% by 2034

View employment trend

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Volume

Lower range of job opportunities compared to other professions

As of 2024 there were 21,930 people employed as 'Gambling Change Persons and Booth Cashiers' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 7 thousand people are employed as 'Gambling Change Persons and Booth Cashiers'.

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What people are saying (1)

??? (No chance)
13 Oct 2019 20:58
just people need to use their imagination for game changes
Leave a reply about this occupation
0/8000

Job description

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.

O*NET-SOC code: 41-2012.00