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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Dining Room and Cafeteria Attendants and Bartender Helpers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled "Mostly Resilient" because the physical and human elements of the job — like reading a busy room, responding to unexpected guest needs, and bringing warmth to the dining experience — are things today's robots still handle pretty awkwardly. While some restaurants are experimenting with tray-running robots and automated bartenders, real-world results have been bumpy, and most restaurant owners still find it more practical to invest in keeping good human staff than to buy expensive machines that need constant maintenance.
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 mostly resilient
This career is labeled "Mostly Resilient" because the physical and human elements of the job — like reading a busy room, responding to unexpected guest needs, and bringing warmth to the dining experience — are things today's robots still handle pretty awkwardly. While some restaurants are experimenting with tray-running robots and automated bartenders, real-world results have been bumpy, and most restaurant owners still find it more practical to invest in keeping good human staff than to buy expensive machines that need constant maintenance.
Read full analysisAnalysis of Current AI Resilience
Dining & Cafeteria Attendant
Updated Quarterly • Last Update: 5/14/2026

If you work as a dining room attendant, busser, or bartender helper, you might have heard people worry that robots are coming for restaurant jobs. The honest answer right now is: a little bit, but probably not as fast as the headlines suggest. According to a TD Bank survey of 253 restaurant franchise leaders, 54% of operators cited a shrinking labor pool as their biggest concern, and the top areas where they thought AI could help were labor efficiency, training, and scheduling — not actually replacing front-of-house helpers.
A National Restaurant Association report found that 26% of restaurant operators use AI tools, mostly for marketing and administrative tasks, while only 6% use AI for customer orders.
You can already see some early machines trying to do parts of your job. At CES 2026, AI Barmen unveiled a robotic bartender that mixes cocktails, manages inventory autonomously, and is aimed at labor shortages and inconsistent drink quality, and restaurants like Chili's and IHOP have tested "Servi" and "BellaBot" robots that roll food and dirty dishes between tables and the kitchen. But progress has been bumpy.
Kernel, a vegan restaurant in Manhattan known for its robot arm, closed within a year and rebranded as a human-powered sandwich shop, and Sweetgreen sold its "Infinite Kitchen" automation division to refocus on profitability.

Adoption is moving slowly for your role for a few practical reasons. As one University of Pennsylvania economist told Fortune, the question isn't technical possibility — it's whether the technology is worth the cost in today's economy [1]. Turnover already costs restaurants more than $2,700 per hourly worker, so most owners would rather spend money keeping human staff happy than buying expensive robots that need maintenance.
The work itself — scraping plates, refilling condiments, finding the salt a guest dropped, reading a busy room — mixes physical dexterity with human judgment that today's robots still handle clumsily. The National Restaurant Association's 2026 outlook [2] emphasizes that diners still want hospitality from real people, and a Nation's Restaurant News piece [3] notes operators see AI more as a tool to support staff than to replace them. The most likely future for you isn't being replaced — it's working alongside a tray-running robot while you focus on the friendly, attentive, problem-solving parts of service that customers actually value.

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They assist in keeping dining areas clean, set up tables, and help servers and bartenders by bringing them supplies and clearing away dishes.
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
Perform serving, cleaning, or stocking duties in establishments, such as cafeterias or dining rooms, to facilitate customer service.
Maintain adequate supplies of items such as clean linens, silverware, glassware, dishes, or trays.
Wipe tables or seats with dampened cloths or replace dirty tablecloths.
Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors.
Carry linens to or from laundry areas.
Set tables with clean linens, condiments, or other supplies.
Clean up spilled food or drink or broken dishes and remove empty bottles and trash.
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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