Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They assist in keeping dining areas clean, set up tables, and help servers and bartenders by bringing them supplies and clearing away dishes.
This role is evolving
This career is labeled as "Evolving" because AI and robots are starting to take over some routine tasks, like carrying dishes and mixing drinks, to help restaurant staff. However, many important tasks still need the human touch, like cleaning spills and interacting with customers.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
This career is labeled as "Evolving" because AI and robots are starting to take over some routine tasks, like carrying dishes and mixing drinks, to help restaurant staff. However, many important tasks still need the human touch, like cleaning spills and interacting with customers.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Dining & Cafeteria Attendant
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In restaurants and cafeterias, some basic service tasks are now done by robots or smart machines. For example, robot “waiters” can carry plates of food. PuduTech’s cat-faced BellaBot lets staff load up to six plates and enter a table number, then it drives the meals to the diner [1].
Similarly, trade-show reports describe “droids” that deliver food and whisk dirty dishes back to the kitchen [1]. In bars, AI bartenders like Richtech’s “Adam” can mix 60+ drinks per hour without breaks [1]. Even a restaurant in Cuba installed a food-delivery robot (“Doña Alicia”) to help human servers [2].
These examples show that moving trays, carrying dishes, and mixing drinks are beginning to be automated or _augmented_—robots do the heavy lifting while humans supervise.
However, many core tasks still need people. We found no examples of robots restocking condiments or refilling ice bins – those remain manual. Cleaning up spills or broken dishes also seems untouched: no robot can yet “see” a spill and mop it up like a human.
And tasks that need judgment, like finding a specific item for a customer, have no robotic solution yet. In short, current tech handles very routine hauling tasks, but messy or picky jobs are still done by humans. As one report notes, restaurants use robots for some serving and clearing duties [1] [1], but human helpers are still needed for the rest.

AI in the real world
Restaurants are thinking about robots mainly to save labor and improve speed. There are now commercial robots and AI products for kitchens (cooking or mixing) and service roles [1] [1]. Industry data show a big driver: a huge number of restaurant jobs were unfilled (over 1 million at last count) [1].
High turnover and COVID-era shortages have made owners look for new solutions [1] [1]. Robots don’t get tired or need breaks, so in theory they could cut costs if they work well.
On the other hand, adoption has been slow in many places. The machines are still expensive and finicky. For example, the BellaBot unit costs around \$15,000 [1], far more than a few months of a helper’s wages.
Early attempts have stumbled (one pizza-making robot failed because “it couldn’t keep the cheese from sliding off” [1]). Workers and customers also influence adoption: some service staff worry about losing jobs [2], and many diners still expect a human touch. In practice, restaurants often treat robots as helpers (“cobots”) working alongside people [1].
Even Havana’s high-tech eatery kept human waiters “on hand” for customers [2]. Overall, AI in these jobs is growing gradually: it is used when it clearly helps, but full automation is limited by cost, reliability, and the need for human skills [1] [1].

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Median Wage
$32,670
Jobs (2024)
527,400
Growth (2024-34)
+6.3%
Annual Openings
99,600
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors.
Locate items requested by customers.
Carry linens to or from laundry areas.
Fill beverage or ice dispensers.
Slice and pit fruit used to garnish drinks.
Serve food to customers when waiters or waitresses need assistance.
Serve ice water, coffee, rolls, or butter to patrons.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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