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# AI in gaming and gambling: which tasks to automate first

Updated October 2026

Across the 234,880 US jobs in gambling and gaming, the work scores 34 of 100 for AI exposure, weighted by how many people do each job. AI can take on about 555 hours a year per full-time person, 28% of a working year. The task that frees the most hours across the industry is to answer questions about game rules and casino policies, about 63 hours a year for each person who does it.

AI exposure, weighted by employment

34 out of 100 Moderate exposure

Hours AI can take on

555 hours a year per full-time person

Task time AI can do today

12% AI speeds up another 35%

## Tasks to automate first

The 15 tasks where AI can take on the most hours across gambling and gaming: how exposed each task is, how much of the job it takes and how many people do that job. Hours are per person in the role that does the task. [How we score each task](https://www.aigentcy.com/ai-exposure/methodology/).

| Task and who does it | AI exposure |
| --- | --- |
| Answer questions about game rules and casino policies. Rule and policy questions are information lookups AI handles well. Done by gambling dealers. | 60% AI helps 63 hours a year for each person in the role |
| Reconcile daily summaries of transactions to balance books. Reconciling transaction data is routine software work. Done by casino cashiers. | 78% AI can do it 167 hours a year for each person in the role |
| Compute amounts of players' wins or losses, or scan winning tickets presented by patrons to calculate the amount of money won. Payout math and ticket scanning are largely software automated. Done by gambling dealers. | 50% AI helps 54 hours a year for each person in the role |
| Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations. Transaction logs are digital, but authorization forms need human approval. Done by casino cashiers. | 62% AI helps 137 hours a year for each person in the role |
| Write reports of daily activities and irregularities, such as equipment or property damage, theft, presence of unauthorized persons, or unusual occurrences. AI can draft daily incident reports from notes; guard reviews. Done by security guards. | 70% AI can do it 107 hours a year for each person in the role |

## What stays with people

53% of the task time across these roles needs a person, and the output of the rest still needs someone to check it. The tasks below take the most of that time.

-   **12%** AI can do it
-   **35%** AI helps
-   **53%** Needs a person

-   Pay winnings or collect losing bets as established by the rules and procedures of a specific game. Gambling dealers, 12% exposed
-   Greet customers and make them feel welcome. Gambling dealers, 5% exposed
-   Check to ensure that all players have placed bets before play begins. Gambling dealers, 6% exposed
-   Exchange paper currency for playing chips or coin money. Gambling dealers, 12% exposed
-   Inspect cards and equipment to be used in games to ensure that they are in good condition. Gambling dealers, 8% exposed

## Adoption path

Start with the tasks where AI helps a person, then automate the routine ones, then give whole workflows to agents with a person approving the output.

1.  ### Quick wins
    
    Support, CRM and content staff get reply drafts, campaign copy and game review drafts from an approved assistant.
    
    Example: Answer questions about game rules and casino policies. AI helps with 60% of the time.
    
    [AI governance](https://www.aigentcy.com/services/ai-governance/)
    
2.  ### Workflow automation
    
    KYC document checks, bonus set-up, affiliate reporting and payment exception handling run as automations.
    
    Example: Reconcile daily summaries of transactions to balance books. AI can do 78% of it.
    
    [Process automation](https://www.aigentcy.com/services/process-automation/)
    
3.  ### Agents
    
    An agent screens player activity for responsible gaming and fraud signals and sends each case to an officer with the evidence attached.
    
    11 of the 15 tasks on this page are ones AI can do end to end, the work an agent takes on.
    
    [Private AI](https://www.aigentcy.com/services/private-ai/)
    

## Teams in this industry

The business functions in gambling and gaming, by share of the workforce, with each one's exposure.

1.  [Sales, 9.8% of the workforce, score **38**](https://www.aigentcy.com/ai-for/sales/)
2.  [Customer service, 6.8% of the workforce, score **54**](https://www.aigentcy.com/ai-for/customer-service/)
3.  [Operations and admin, 4.3% of the workforce, score **52**](https://www.aigentcy.com/ai-for/operations/)
4.  [Finance and accounting, 3.1% of the workforce, score **62**](https://www.aigentcy.com/ai-for/finance/)
5.  [IT and software, 2.1% of the workforce, score **58**](https://www.aigentcy.com/ai-for/it/)

## Roles in gambling and gaming

The 20 largest roles, each linked to its task-by-task score. Shares come from the BLS industry staffing estimates, May 2025. Of the roles with at least 2% of the jobs, customer service representatives score highest at 74, janitors lowest at 14.

1.  [Gambling dealers, 15% of the workforce, score **25** out of 100](https://www.aigentcy.com/ai-exposure/gambling-dealers/)
2.  [Security guards, 6.3% of the workforce, score **26** out of 100](https://www.aigentcy.com/ai-exposure/security-guards/)
3.  [Casino cashiers, 5.3% of the workforce, score **31** out of 100](https://www.aigentcy.com/ai-exposure/casino-cashiers/)
4.  [Janitors, 4.7% of the workforce, score **14** out of 100](https://www.aigentcy.com/ai-exposure/janitors/)
5.  [Casino supervisors, 4.6% of the workforce, score **37** out of 100](https://www.aigentcy.com/ai-exposure/casino-supervisors/)
6.  [Waiters, 4.4% of the workforce, score **31** out of 100](https://www.aigentcy.com/ai-exposure/waiters/)
7.  [Bartenders, 4.2% of the workforce, score **26** out of 100](https://www.aigentcy.com/ai-exposure/bartenders/)
8.  [Cooks, 3.7% of the workforce, score **23** out of 100](https://www.aigentcy.com/ai-exposure/cooks/)
9.  [Gambling cage workers, 3.4% of the workforce, score **40** out of 100](https://www.aigentcy.com/ai-exposure/gambling-cage-workers/)
10.  [Vending machine technicians, 2.9% of the workforce, score **29** out of 100](https://www.aigentcy.com/ai-exposure/vending-machine-technicians/)
11.  [Cashiers, 2.7% of the workforce, score **43** out of 100](https://www.aigentcy.com/ai-exposure/cashiers/)
12.  [Casino runners, 2.6% of the workforce, score **32** out of 100](https://www.aigentcy.com/ai-exposure/casino-runners/)
13.  [Customer service representatives, 2.4% of the workforce, score **74** out of 100](https://www.aigentcy.com/ai-exposure/customer-service-representatives/)
14.  [Gambling surveillance officers, 2.1% of the workforce, score **39** out of 100](https://www.aigentcy.com/ai-exposure/gambling-surveillance-officers/)
15.  [Maintenance workers, 1.7% of the workforce, score **21** out of 100](https://www.aigentcy.com/ai-exposure/maintenance-workers/)
16.  [Maids, 1.7% of the workforce, score **8** out of 100](https://www.aigentcy.com/ai-exposure/maids/)
17.  [Food service supervisors, 1.5% of the workforce, score **41** out of 100](https://www.aigentcy.com/ai-exposure/food-service-supervisors/)
18.  [Administrative supervisors, 1.4% of the workforce, score **55** out of 100](https://www.aigentcy.com/ai-exposure/administrative-supervisors/)
19.  [Bookkeepers, 1.3% of the workforce, score **67** out of 100](https://www.aigentcy.com/ai-exposure/bookkeepers/)
20.  [Security supervisors, 1.2% of the workforce, score **35** out of 100](https://www.aigentcy.com/ai-exposure/security-supervisors/)

## iGaming roles in Malta

Online operators hire 15 roles that US data leaves out, such as KYC analysts and VIP managers. We wrote their tasks for [Malta's gaming sector](https://www.aigentcy.com/ai-exposure/malta/) and graded them the same way. Casino content writers score highest, at 67.

1.  [Casino content writers, AI can do 46% of the task time, score **67** out of 100](https://www.aigentcy.com/ai-exposure/malta/casino-content-writers/)
2.  [Casino support agents, AI can do 27% of the task time, score **65** out of 100](https://www.aigentcy.com/ai-exposure/malta/online-casino-support-agents/)
3.  [Casino SEO specialists, AI can do 18% of the task time, score **64** out of 100](https://www.aigentcy.com/ai-exposure/malta/casino-seo-specialists/)
4.  [KYC analysts, AI can do 33% of the task time, score **64** out of 100](https://www.aigentcy.com/ai-exposure/malta/kyc-analysts/)
5.  [Game integration specialists, AI can do 10% of the task time, score **63** out of 100](https://www.aigentcy.com/ai-exposure/malta/game-integration-specialists/)
6.  [Payments and fraud analysts, AI can do 18% of the task time, score **63** out of 100](https://www.aigentcy.com/ai-exposure/malta/payments-and-fraud-analysts/)
7.  [CRM executives, AI can do 9% of the task time, score **62** out of 100](https://www.aigentcy.com/ai-exposure/malta/igaming-crm-executives/)
8.  [Affiliate managers, AI can do 30% of the task time, score **61** out of 100](https://www.aigentcy.com/ai-exposure/malta/igaming-affiliate-managers/)
9.  [Bonus and promotions managers, AI can do 10% of the task time, score **59** out of 100](https://www.aigentcy.com/ai-exposure/malta/bonus-and-promotions-managers/)
10.  [Risk and trading analysts, AI can do 10% of the task time, score **59** out of 100](https://www.aigentcy.com/ai-exposure/malta/sportsbook-risk-and-trading-analysts/)
11.  [VIP managers, AI can do 36% of the task time, score **58** out of 100](https://www.aigentcy.com/ai-exposure/malta/vip-managers/)
12.  [iGaming product owners, AI can do 9% of the task time, score **53** out of 100](https://www.aigentcy.com/ai-exposure/malta/igaming-product-owners/)
13.  [Responsible gaming officers, AI can do 18% of the task time, score **52** out of 100](https://www.aigentcy.com/ai-exposure/malta/responsible-gaming-officers/)
14.  [Gaming compliance officers, AI helps with 91% of the task time, score **51** out of 100](https://www.aigentcy.com/ai-exposure/malta/gaming-compliance-officers/)
15.  [Live casino dealers, AI helps with 33% of the task time, score **28** out of 100](https://www.aigentcy.com/ai-exposure/malta/live-casino-dealers/)

## Questions about AI in gaming and gambling

Which tasks should a gaming operator automate first?

The first task to automate is to answer questions about game rules and casino policies (60% exposed). Next come the tasks to reconcile daily summaries of transactions to balance books (78%) and to compute amounts of players' wins or losses (50%). Together they free the most hours across the industry.

How many hours can AI save a gaming operator?

About 555 hours a year per full-time person, 28% of a 2,000-hour working year. For a team of 10 that is about 5,550 hours, the time of 2.8 full-time people. The figure is the share of task time AI can remove today, weighted by how many people do each job.

Which roles in a gaming operator are most exposed to AI?

Of the roles with at least 2% of the jobs, customer service representatives score highest, at 74 of 100, and janitors lowest, at 14. Each role's page lists its tasks one by one.

Will AI replace jobs in gambling and gaming?

AI can do 12% of the task time across these roles today. Another 35% gets faster with AI while a person stays in charge. 53% needs a person. One task that stays with people is to pay winnings or collect losing bets as established by the rules and procedures of a specific game.

Where should a gaming operator start with AI?

With the quick wins: approved assistants for the tasks AI helps with, under a written AI policy. Then automate the 11 tasks on this page AI can do end to end. An AI audit maps the tasks in your team and ranks them the same way this page does.

## Next steps

### Find the tasks to automate first in your team

We map the tasks in your business, score each one the way this page does and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.