# Will dining room attendants be replaced by AI? Updated October 2026 Dining room attendants score 10 of 100 for AI exposure. 95% of their task time still needs a person. AI speeds up the other 5%. - **5%** AI helps - **95%** Needs a person Low exposure Lower than 97% of the 923 occupations we scored. ## Task by task We graded 23 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 1 and leaves 22 to people. | Task | AI exposure | | --- | --- | | Run cash registers. POS software handles sales; cash handling stays in person. | 35% AI helps | | Maintain adequate supplies of items, such as clean linens, silverware, glassware, dishes, or trays. Mostly physical restocking; software can flag low counts. | 18% Needs a person | | Greet and seat customers. Live greeting and seating; reservation software helps slightly. | 12% Needs a person | | Mix and prepare flavors for mixed drinks. Recipes can be looked up, but mixing is hands-on. | 12% Needs a person | | Locate items requested by customers. Physical search for items in the dining area. | 10% Needs a person | ## How dining room attendants compare All occupations (923) Food preparation and serving (16) **Dining room attendants score 10**, 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 25 for food preparation and serving. ## Pay and outlook in the US Median pay $33,980 a year, May 2025 People employed 542,750 in the US, May 2025 Projected change in jobs +5.3% from 2024 to 2034 ## Skills to build - Close checks and correct ticket errors in Plexis POS - Track linen and glassware par levels in Microsoft Excel - Manage seating and reservations in RestaurantPlus PRO - Mix mixed-drink flavors from recipes at the service bar - Hold a state food handler card for dining service ## Safer roles nearby 2 related occupations with lower scores. - [Dishwashers8 out of 100](https://www.aigentcy.com/ai-exposure/dishwashers/) - [Maids8 out of 100](https://www.aigentcy.com/ai-exposure/maids/) ## Questions about dining room attendants and AI Will AI replace dining room attendants? Unlikely. About 1 in 10 working hours go to tasks AI can already do, mostly running cash registers and keeping supplies stocked. Most of the shift, from carrying linens to clearing tables, stays with people because it needs a body in the room. Which dining room tasks is AI taking over? Running cash registers has the highest exposure score at 35, because POS software such as Plexis POS already handles sales and payment entry. Keeping supplies stocked comes next at 18, since software can flag low counts of linens, silverware and glassware before a shift runs short. Which dining room tasks stay with people? Wiping tables and cleaning up spills both score 4, since they need a cloth, a mop and a person on the floor. Carrying linens to and from the laundry scores 3, because moving heavy bundles is physical work. Serving water and coffee to patrons stays human too, since it is hands-on delivery to a table. How can dining room attendants stay valuable? Learn the ticket and check workflow in Plexis POS or RestaurantPlus PRO, so you can fix errors at the register. Track par levels for linens and glassware in Microsoft Excel, then restock before the rush. Keep table set-up and linen changes fast and consistent, since that hands-on speed is hard to automate. ## Related jobs - [Food servers23 out of 100](https://www.aigentcy.com/ai-exposure/food-servers/) - [Fast food workers24 out of 100](https://www.aigentcy.com/ai-exposure/fast-food-workers/) - [Waiters31 out of 100](https://www.aigentcy.com/ai-exposure/waiters/) - [Food preparation workers17 out of 100](https://www.aigentcy.com/ai-exposure/food-preparation-workers/) ## Next steps for dining room attendants - ### 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.