AI in gaming and gambling: which tasks to automate first
Updated
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.
| 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 |
| Answer telephone calls to take messages, answer questions, and provide information during non-business hours or when switchboard is closed. After-hours info calls can be handled by AI phone or chat agents. Done by security guards. | 60% AI can do it 89 hours a year for each person in the role |
| Prepare collection reports for submission to supervisors. Collection reports are structured data needing little judgement. Done by gambling dealers, casino runners. | 72% AI can do it 35 hours a year for each person in the role |
| Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken. AI transcribes and summarizes interactions into case records automatically. Done by customer service representatives. | 85% AI can do it 186 hours a year for each person in the role |
| Complete contract forms, prepare change of address records, or issue service discontinuance orders, using computers. Structured form filling and address changes suit AI well. Done by customer service representatives. | 85% AI can do it 168 hours a year for each person in the role |
| Open and close cash floats and game tables. Cash count and float reconciliation; partly digital, partly physical. Done by gambling dealers. | 25% AI helps 26 hours a year for each person in the role |
| Develop and maintain log of surveillance observations. Structured logging AI can largely generate from video metadata. Done by gambling surveillance officers. | 70% AI can do it 179 hours a year for each person in the role |
| Requisition supplies or equipment needed for cleaning and maintenance duties. Ordering supplies is routine digital work AI can handle. Done by janitors. | 65% AI can do it 78 hours a year for each person in the role |
| Determine charges for services requested, collect deposits or payments, or arrange for billing. Billing systems calculate charges and process payments with little human input. Done by customer service representatives. | 70% AI can do it 141 hours a year for each person in the role |
| Prepare checks that itemize and total meal costs and sales taxes. POS systems already itemize and total checks automatically. Done by waiters. | 85% AI can do it 78 hours a year for each person in the role |
| Maintain records of machine maintenance and repair. Maintenance and repair logs are routine digital record keeping. Done by vending machine technicians. | 75% AI can do it 113 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.
Teams in this industry
The business functions in gambling and gaming, by share of the workforce, with each one's exposure.
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.
- Gambling dealers, 15% of the workforce, score 25 out of 100
- Security guards, 6.3% of the workforce, score 26 out of 100
- Casino cashiers, 5.3% of the workforce, score 31 out of 100
- Janitors, 4.7% of the workforce, score 14 out of 100
- Casino supervisors, 4.6% of the workforce, score 37 out of 100
- Waiters, 4.4% of the workforce, score 31 out of 100
- Bartenders, 4.2% of the workforce, score 26 out of 100
- Cooks, 3.7% of the workforce, score 23 out of 100
- Gambling cage workers, 3.4% of the workforce, score 40 out of 100
- Vending machine technicians, 2.9% of the workforce, score 29 out of 100
- Cashiers, 2.7% of the workforce, score 43 out of 100
- Casino runners, 2.6% of the workforce, score 32 out of 100
- Customer service representatives, 2.4% of the workforce, score 74 out of 100
- Gambling surveillance officers, 2.1% of the workforce, score 39 out of 100
- Maintenance workers, 1.7% of the workforce, score 21 out of 100
- Maids, 1.7% of the workforce, score 8 out of 100
- Food service supervisors, 1.5% of the workforce, score 41 out of 100
- Administrative supervisors, 1.4% of the workforce, score 55 out of 100
- Bookkeepers, 1.3% of the workforce, score 67 out of 100
- Security supervisors, 1.2% of the workforce, score 35 out of 100
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 and graded them the same way. Casino content writers score highest, at 67.
- Casino content writers, AI can do 46% of the task time, score 67 out of 100
- Casino support agents, AI can do 27% of the task time, score 65 out of 100
- Casino SEO specialists, AI can do 18% of the task time, score 64 out of 100
- KYC analysts, AI can do 33% of the task time, score 64 out of 100
- Game integration specialists, AI can do 10% of the task time, score 63 out of 100
- Payments and fraud analysts, AI can do 18% of the task time, score 63 out of 100
- CRM executives, AI can do 9% of the task time, score 62 out of 100
- Affiliate managers, AI can do 30% of the task time, score 61 out of 100
- Bonus and promotions managers, AI can do 10% of the task time, score 59 out of 100
- Risk and trading analysts, AI can do 10% of the task time, score 59 out of 100
- VIP managers, AI can do 36% of the task time, score 58 out of 100
- iGaming product owners, AI can do 9% of the task time, score 53 out of 100
- Responsible gaming officers, AI can do 18% of the task time, score 52 out of 100
- Gaming compliance officers, AI helps with 91% of the task time, score 51 out of 100
- Live casino dealers, AI helps with 33% of the task time, score 28 out of 100
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.