# Will gambling managers be replaced by AI? Updated October 2026 Gambling managers score 48 out of 100 for AI exposure. AI helps with 77% of their task time, and they stay in charge. AI can do another 10%. 13% needs a person. - **10%** AI can do it - **77%** AI helps - **13%** Needs a person Moderate exposure Higher than 70% of the 923 jobs we scored. ## Task by task We graded 19 tasks, most exposed first. AI can do 2 of them, helps with 14 and leaves 3 to people. | Task | AI exposure | | --- | --- | | Direct the compilation of summary sheets that show wager amounts and payoffs for races or events. Software generates wager and payoff summaries; manager reviews output. | 75% AI can do it | | Prepare work schedules and station arrangements and keep attendance records. Scheduling software and AI draft rosters and attendance logs quickly. | 65% AI can do it | | Market or promote the casino to bring in business. AI drafts campaigns and social posts; strategy stays with managers. | 62% AI helps | | Direct the distribution of complimentary hotel rooms, meals, or other discounts or free items given to players, based on their length of play and betting totals. Player tracking software computes comps; managers set and approve them. | 60% AI helps | | Review operational expenses, budget estimates, betting accounts, or collection reports for accuracy. AI checks budgets and collection reports for errors and anomalies. | 58% AI helps | ## How gambling managers compare All jobs (923) Management (56) The dark line is **gambling managers, at 48**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 46 for management. ## Pay and outlook in the US Median pay $93,220 a year, May 2025 People employed 5,030 in the US, May 2025 Projected change in jobs +3.6% from 2024 to 2034 ## Skills to build - Set and approve player comps in player tracking software - Review wager and payoff summaries in Microsoft Excel - Present budget variances to finance in Microsoft PowerPoint - Issue live rulings on house rules at the gaming table - Remove suspected cheaters with security and legal staff - Resolve payout disputes against betting records and receipts ## Safer roles nearby 5 related jobs with lower scores. - [Casino supervisors37 out of 100](https://www.aigentcy.com/ai-exposure/casino-supervisors/) - [Casino runners32 out of 100](https://www.aigentcy.com/ai-exposure/casino-runners/) - [Gambling surveillance officers39 out of 100](https://www.aigentcy.com/ai-exposure/gambling-surveillance-officers/) - [Referees28 out of 100](https://www.aigentcy.com/ai-exposure/referees/) - [General managers44 out of 100](https://www.aigentcy.com/ai-exposure/general-managers/) ## Questions about gambling managers and AI Will AI replace gambling managers? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly compiling wager and payoff summaries and drafting work schedules and attendance logs. Live floor supervision, house-rule rulings, and staff decisions stay with people. Which tasks is AI taking over for gambling managers? Summary sheets of wager amounts and payoffs go first, with an exposure score of 75, because software generates them and the manager only reviews the output. Work schedules and attendance records follow at 65, since scheduling software drafts rosters quickly. Marketing drafts are AI-written at 62, while strategy stays with the manager. Which gambling manager tasks stay with people? Floor presence stays human, with an exposure score of 10, because managers walk the tables to watch dealers, enforce house rules, and spot players breaking them. Removing suspected cheaters scores 12, since it needs a person making legal calls. Cash and chip payouts score 18, so people still handle them even though receipts can be automated. How can gambling managers stay valuable as AI changes the job? Spend more hours on floor supervision, payout disputes, and cheater removal, where exposure scores run 10 to 18. Check AI output before approval by verifying wager summaries in Excel and comp totals from player tracking software. Keep making live house-rule rulings yourself, since that judgement is what the operation pays a manager for. ## Related jobs - [Lodging managers51 out of 100](https://www.aigentcy.com/ai-exposure/lodging-managers/) - [Administrative supervisors55 out of 100](https://www.aigentcy.com/ai-exposure/administrative-supervisors/) - [Sales supervisors48 out of 100](https://www.aigentcy.com/ai-exposure/sales-supervisors/) - [Financial managers49 out of 100](https://www.aigentcy.com/ai-exposure/financial-managers/) ## Next steps for gambling managers - ### Check your job Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) - ### Estimate team savings The score is per person. Add headcount and salary to see the hours AI can take on in a team of gambling managers, and what they cost. [Estimate what AI saves a team of gambling managers](https://www.aigentcy.com/tools/team-ai-audit/?role=gambling-managers) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Roustabouts score lowest, at 6.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 job groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Sources and licences 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.