Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Dining & Cafeteria Attendant:

58.1%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient dining room and cafeteria attendant work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For dining and cafeteria attendants, seven of eight sources had data, with Anthropic missing. Three AI exposure sources (AI Resilience Model, Microsoft, OpenAI Signals) agreed this work stays very human, though Will Robots Take My Job disagreed, keeping confidence at medium. Strong demand and human contribution pushed the score up, while low pay and mobility pulled it down, landing attendants at "Mostly Resilient."

AI Resilience Report forDining Room and Cafeteria Attendants and Bartender Helpers

$33,980 median salary95,300 annual openingsSOC Code: 35-9011.00

Dining Room and Cafeteria Attendants and Bartender Helpers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.

This career is labeled "Mostly Resilient" because while some automation is entering the picture (like food-running robots and self-service kiosks), the technology is mostly being used to help human workers rather than replace them. The core of this job, which includes greeting guests, reading the room, solving problems on the spot, and bringing genuine warmth to the dining experience, is still something machines simply cannot do well.

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This role is mostly resilient

This career is labeled "Mostly Resilient" because while some automation is entering the picture (like food-running robots and self-service kiosks), the technology is mostly being used to help human workers rather than replace them. The core of this job, which includes greeting guests, reading the room, solving problems on the spot, and bringing genuine warmth to the dining experience, is still something machines simply cannot do well.

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Analysis of Current AI Resilience

Dining & Cafeteria Attendant

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Dining & Cafeteria Attendant jobs?

If you're worried that a robot is about to take over table-clearing and drink-refilling jobs, here's the honest picture: some automation is happening, but most of it is still augmenting human workers rather than replacing them. The clearest example is the wave of AI-powered service robots rolling through dining rooms. Companies like Bear Robotics build machines that support food running, table bussing, drink delivery and other front-of-house workflows, and the newest compact model uses LiDAR sensors to squeeze through tighter floor plans like narrow aisles and crowded bar areas.

Importantly, the industry frames these robots as helpers, not replacements — the stronger use case is labor reallocation. Restaurants still need people to greet, host, sell, read the room and solve problems.

On the cashier side, self-service kiosks and AI ordering are spreading faster. However, only 6% of restaurants are using AI for customer orders [1], and most AI investment is currently aimed at marketing and back-office tasks rather than front-of-house cleaning or setup. Cleaning bots (like Servi Clean) are starting to reduce the routine floor-maintenance burden that consumes staff hours, but wiping tables, refilling condiments, and reading a guest's mood are still human jobs.

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AI Adoption

How fast is AI adoption growing for Dining & Cafeteria Attendant?

Adoption in this field is moving more slowly than headlines suggest. According to the National Restaurant Association's 2026 report covered by FSR Magazine, just 26 percent of operators report using AI tools at all [2], and most of that is scheduling and onboarding software — not floor robots. A big reason is that the labor squeeze is easing: Only 22 percent of operators reported being understaffed in 2025, a drop from 78 percent just a few years earlier, which reduces the panic-driven push to automate.

Cost and capability are the other brakes. As QSR Magazine explains, mimicking human hand movement is one of the most complex challenges in robotics [3], and even burger-flipping pilots have only rolled out to a handful of stores. Meanwhile, the U.S. Bureau of Labor Statistics projects food and beverage serving jobs to grow 5% from 2025 to 2035 [4] — faster than average — with over a million yearly openings.

Customer expectations matter too: guests still want warmth, judgment, and a friendly face, which is exactly the human side that machines can't replicate yet. If you're entering this career, learning to work alongside the tech — running a kiosk, guiding a Servi robot, or upselling with a smile — is where you'll stand out.

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Will AI replace Dining & Cafeteria Attendant?

Will AI replace Dining & Cafeteria Attendant?

No. We don't think AI will replace Dining Room and Cafeteria Attendants and Bartender Helpers, though we do expect the job to change.

Our AI Resilience Score for this role sits at 58.1%, which reflects a real but manageable shift. Robots like the ones Bear Robotics builds are already moving through dining rooms, handling food running and table bussing. But the industry's own framing is telling: these machines are positioned as helpers, not replacements. Only 26 percent of restaurant operators are using AI tools at all right now, and most of that is back-office software like scheduling, not floor robots [2]. Mimicking human hand movement remains one of the hardest problems in robotics [3], which keeps a lot of physical tasks firmly in human hands.

The demand picture supports staying in this field. The U.S. Bureau of Labor Statistics projects food and beverage serving jobs to grow 5 percent from 2025 to 2035, faster than average, with over a million yearly openings [4]. The honest caveat is that wages and career flexibility in this role are limited, so thinking about how to grow within hospitality matters. The workers who will do best are those who learn to operate alongside the technology, guiding a service robot, managing a kiosk, reading a guest's mood, because that human layer is exactly what keeps this job resilient.

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Latest AI news for Dining & Cafeteria Attendant

These articles provide valuable insights for students pursuing careers as Dining Room and Cafeteria Attendants and Bartender Helpers. With a 59.1% AI Resilience Score, this field shows potential for job stability despite technological advancements. For instance, while robots may handle repetitive tasks, they cannot replicate the personal touch essential for guest experiences. Additionally, AI can improve operations by optimizing staff scheduling and enhancing menu offerings, ultimately allowing workers to focus more on customer service. Embracing these changes can lead to a more rewarding career in the hospitality industry.

More Career Info

Career: Dining Room and Cafeteria Attendants and Bartender Helpers

They assist in keeping dining areas clean, set up tables, and help servers and bartenders by bringing them supplies and clearing away dishes.

Employment & Wage Data

Median Wage

$33,980

Jobs (2025)

546,600

Growth (2025-35)

+5.3%

Annual Openings

95,300

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceCore Task

Perform serving, cleaning, or stocking duties in establishments, such as cafeterias or dining rooms, to facilitate customer service.

2

89% ResilienceSupplemental

Carry linens to or from laundry areas.

3

88% ResilienceCore Task

Wipe tables or seats with dampened cloths or replace dirty tablecloths.

4

88% ResilienceSupplemental

Garnish foods and position them on tables to make them visible and accessible.

5

87% ResilienceCore Task

Serve food to customers when waiters or waitresses need assistance.

6

86% ResilienceCore Task

Set tables with clean linens, condiments, or other supplies.

7

85% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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