Gambling and Sports Book Writers and Runners

Highest risk Lowest scored Low pay & highrisk
High Risk
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Explore safer careers (5)

Lower estimated automation risk

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

Advancement path using game-area procedures, patron service, staffing, payouts, rule enforcement, and shift coverage.

Reservation and Transportation Ticket Agents and Travel Clerks
70% automation risk | High Risk
Pays better Higher growth
7.7 pts lower View career
Why it fits

Applies ticketing, reservations, identity checks, customer questions, schedules, and transaction systems.

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

Applies casino operations knowledge, irregular activity recognition, rules, patron behavior, and incident reporting.

Customer Service Representatives
71% automation risk | High Risk
Pays better More jobs
7 pts lower View career
Why it fits

Reuses service recovery, explaining rules, account questions, transaction details, and calm handling of disputes.

Gambling Dealers
68% automation risk | High Risk
Higher growth More jobs
9.5 pts lower View career
Why it fits

Applies game rules, patron interaction, fast arithmetic, payouts, casino procedures, and surveillance awareness.

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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
1.2/10
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

78% (High Risk)

High Risk (61-80%): This occupation shows a significant risk of end-to-end replacement by automation. Many core parts of the role may be structured, repeatable, software-driven, or physically predictable enough for AI, machines, or robotic systems to take over. If you work in this area, it may be worth exploring safer related careers or moving towards more human-centred responsibilities.

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

What users think

Based on 41 votes

59% chance of full automation within the next two decades

Our visitors have voted they are unsure if this occupation will be automated. However, the automation risk level we have generated suggests a much higher chance of automation: 78% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Gambling and Sports Book Writers and Runners 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 and Sports Book Writers and Runners was $30,460 ($15 per hour).

The median annual wage for Gambling and Sports Book Writers and Runners was 38.5% 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 and Sports Book Writers and Runners' job openings is expected to decline 6.1% 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

Significantly lower range of job opportunities compared to other professions

As of 2024 there were 7,600 people employed as 'Gambling and Sports Book Writers and Runners' within the United States.

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

Put another way, around 1 in 20 thousand people are employed as 'Gambling and Sports Book Writers and Runners'.

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What people are saying (1)

Eryk Marcuccio (No chance)
01 May 2020 04:53
I decided on my decision because a robot can't be creative like I can. A robot is useful in many situations but taking over my job title just is not in their future.
Leave a reply about this occupation
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Job description

Post information enabling patrons to wager on various races and sporting events. Assist in the operation of games such as keno and bingo. May operate random number-generating equipment and announce the numbers for patrons. Receive, verify, and record patrons' wagers. Scan and process winning tickets presented by patrons and pay out winnings for those wagers.

O*NET-SOC code: 39-3012.00