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 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.
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
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 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
Nonrestaurant Food Server
Updated Quarterly • Last Update: 2/17/2026

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.

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.

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
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
AI-generated estimates of task resilience over the next 3 years
Record amounts and types of special food items served to customers.
Determine where patients or patrons would like to eat their meals and help them get situated.
Carry food, silverware, or linen on trays or use carts to carry trays.
Monitor food preparation or serving techniques to ensure that proper procedures are followed.
Prepare food items, such as sandwiches, salads, soups, or beverages.
Total checks, present them to customers, and accept payment for services.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.