# Will gambling dealers be replaced by AI? Updated October 2026 Gambling dealers score 25 of 100 for AI exposure. 77% of their task time still needs a person. AI can do 2% today and speed up another 21%. - **2%** AI can do it - **21%** AI helps - **77%** Needs a person Low exposure Lower than 71% of the 923 occupations we scored. ## Task by task We graded 21 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 5 and leaves 15 to people. | Task | AI exposure | | --- | --- | | Prepare collection reports for submission to supervisors. Collection reports are structured data needing little judgement. | 72% AI can do it | | Answer questions about game rules and casino policies. Rule and policy questions are information lookups AI handles well. | 60% AI helps | | 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. | 50% AI helps | | Supervise staff and monitor gambling tables to ensure security of the game. Camera analytics help, but supervising people stays human. | 30% AI helps | | Train new dealers. Teaching new dealers relies on hands-on coaching. | 30% AI helps | ## How gambling dealers compare All occupations (923) Personal care and service (31) **Gambling dealers score 25**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 30 for personal care and service. ## Pay and outlook in the US Median pay $34,320 a year, May 2025 People employed 83,910 in the US, May 2025 Projected change in jobs +3.4% from 2024 to 2034 ## Skills to build - Deal cards and collect chips at a live table - Run cash float counts and reconciliation in Microsoft Excel - Coach new dealers on hands-on card handling and table etiquette - Check payout math and winning tickets manually - Prepare collection reports in Microsoft Office software for supervisors - Supervise table security with floor staff and camera review ## Safer roles nearby A related occupation with a lower score. - [Athletes20 out of 100](https://www.aigentcy.com/ai-exposure/athletes/) ## Questions about gambling dealers and AI Will AI replace gambling dealers? Partly. About 2 in 10 working hours go to tasks AI can already do, mostly preparing collection reports and answering questions about game rules and casino policies. Dealing cards, paying out chips, and greeting players stay with people because they need hands and presence at the table. Which gambling dealer tasks is AI taking over? Preparing collection reports scores 72 on exposure, the highest in the job, because the data is structured and needs little judgement. Answering rule and policy questions scores 60, since lookups against written casino policy are what AI handles well. Computing wins and losses or scanning winning tickets scores 50 and moves largely to software. Which gambling dealer tasks stay human? Dealing cards to each seat scores 3 on exposure, the lowest in the job, because it needs physical hands on a live table. Conducting games under casino rules and working as a team on baccarat or craps also score 4. Greeting customers scores 5 because presence and warmth are part of the service. How can gambling dealers stay valuable? Learn to run cash float counts and reconciliation in Microsoft Excel, since opening and closing tables is partly physical. Become the dealer who trains new staff at the table, a task scoring 30. Check payout math and winning tickets yourself so you catch errors software misses. Send collection reports on time through Microsoft Office software, Slack, and email. ## Related jobs - [Tellers53 out of 100](https://www.aigentcy.com/ai-exposure/tellers/) - [Cashiers43 out of 100](https://www.aigentcy.com/ai-exposure/cashiers/) - [Recreation attendants39 out of 100](https://www.aigentcy.com/ai-exposure/recreation-attendants/) - [Retail salespeople48 out of 100](https://www.aigentcy.com/ai-exposure/retail-salespeople/) ## Next steps for gambling dealers - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your 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/) ### 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**Cement masons score lowest, at 8.](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**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](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 publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation 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/) 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.