Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

55.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

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

Food Servers, Nonrestaurant

They serve food and drinks in places like hospitals, schools, or office buildings, making sure everyone gets what they ordered and is happy with their meal.

This role is evolving

The career of nonrestaurant food servers is labeled as "Evolving" because while some tasks like carrying and clearing trays are increasingly done by robots, the personal aspects of the job still require human touch. AI is being used to handle repetitive tasks, but interacting with people, understanding their needs, and providing care and empathy cannot be easily replaced by machines.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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This role is evolving

The career of nonrestaurant food servers is labeled as "Evolving" because while some tasks like carrying and clearing trays are increasingly done by robots, the personal aspects of the job still require human touch. AI is being used to handle repetitive tasks, but interacting with people, understanding their needs, and providing care and empathy cannot be easily replaced by machines.

Read full analysis

Contributing 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

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Stable iconStable

70.6%

70.6%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

59.2%

59.2%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

21.5%

21.5%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.0%

Growth Percentile:

50.4%

Annual Openings:

48,000

Annual Openings Pct:

81.6%

Analysis of Current AI Resilience

Nonrestaurant Food Server

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Some of the routine tasks here are already being helped by robots, while others still need people. For example, hospitality robots like Service (“Servi”) are used in hotels and care homes to carry trays of food to tables and then clear the trays when done [1]. In research labs, engineers have even built robots that recognize leftover food and sort dirty dishes on a conveyor belt [2] [2].

These systems show that jobs like removing plates and stacking dishes can be automated. By contrast, we found no examples of AI that automatically loads trays with silverware or automatically seats patients — those jobs still rely on humans. Tasks needing human judgment or care (like asking a patient where they want to eat or reminding someone of special instructions) remain manual.

In short, carrying and clearing trays is increasingly being done by smart machines [1], but the personal-service parts of the job still depend on human servers.

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AI Adoption

AI in the real world

Whether facilities adopt these robots quickly depends on costs and needs. In places with serious staffing shortages (like some hospitals and nursing homes), managers are turning to robots for help [3] [2]. Robots can reliably work long hours and deliver meals without fatigue, which can boost efficiency when labor is scarce.

However, implementing robots is expensive: one meal-delivery robot costs tens of thousands of dollars, while a human server might earn only minimum wage. For many small clinics or care homes, that high upfront cost can slow adoption. There are also social and ethical factors: many patients value friendly human interaction during mealtime, and there is concern about losing personal touch.

Industry experts stress that robots are meant to assist – not replace – staff [1]. In practice, facilities must balance these factors. Right now, smart vehicles and apps are emerging to ease serving and billing, but most kitchens still rely on people.

In the end, while automation can take over the heavy lifting or mundane parts of food service [1] [2], the communication, empathy and problem-solving that human servers provide remain hard to duplicate. These human skills are still very important in food service, so young workers can take heart that their roles are still valuable even as AI tools arrive.

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More Career Info

Career: Food Servers, Nonrestaurant

Employment & Wage Data

Median Wage

$34,460

Jobs (2024)

277,200

Growth (2024-34)

+3.0%

Annual Openings

48,000

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

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

1

75% ResilienceCore Task

Record amounts and types of special food items served to customers.

2

70% ResilienceCore Task

Determine where patients or patrons would like to eat their meals and help them get situated.

3

60% ResilienceCore Task

Carry food, silverware, or linen on trays or use carts to carry trays.

4

55% ResilienceCore Task

Monitor food preparation or serving techniques to ensure that proper procedures are followed.

5

50% ResilienceCore Task

Prepare food items, such as sandwiches, salads, soups, or beverages.

6

50% ResilienceSupplemental

Total checks, present them to customers, and accept payment for services.

7

45% ResilienceCore Task

Take food orders and relay orders to kitchens or serving counters so they can be filled.

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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