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 expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They prepare and serve food, keep dining areas clean, and assist in kitchens to ensure meals are ready and enjoyable for customers.
This role is stable
A career in food preparation and serving is considered "Stable" because even though some basic tasks like ordering and simple cooking are being automated, the human touch is still essential. Creative tasks like inventing recipes and providing friendly service require skills that machines can't replicate.
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 stable
A career in food preparation and serving is considered "Stable" because even though some basic tasks like ordering and simple cooking are being automated, the human touch is still essential. Creative tasks like inventing recipes and providing friendly service require skills that machines can't replicate.
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
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
Food Prep & Serving Worker
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today’s restaurants already use some smart machines, but humans still run most kitchens. For example, many places now let customers order on touchscreens or apps [1], and companies like Miso Robotics use robots (it’s called “Flippy”) to flip burgers and cook fries [1] [1]. Some eateries even have little robots that bring dishes to your table [1].
These robots help make food the same every time and cope with worker shortages [1] [1]. At the same time, tests of AI ordering (like voice menus) sometimes give wrong orders in funny ways [2]. Experts note that machines still struggle with tricky tasks like special requests and need people to watch over them [3] [4].
In short, machines are already doing some basic jobs (ordering, simple cooking, delivery) [1] [1], but creative tasks like inventing recipes or adding a personal touch still need real cooks and servers.

AI in the real world
Whether restaurants add more AI bits depends on many things. One reason to adopt fast is rising costs and too few workers [3] [1] – a robot never gets tired or needs breaks. Owners see AI as a way to save money and speed up service [3] [1].
But high-tech machines can be expensive and hard to fit into small kitchens [3], and early trials (like McDonald’s AI drive-thru) had glitches [2]. Research even shows adding ordering kiosks didn’t cut staff numbers much [5], though it changed how work is done. People also care about the human side of food: chefs worry AI might remove the “human touch” from cooking [6].
Overall, AI will likely grow slowly. Humans will still be needed for teamwork, creativity and friendly service – skills machines aren’t good at [4] [6]. Technology may handle routine tasks, but cooks and servers with passion will still be valuable.

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Median Wage
$34,830
Jobs (2024)
90,500
Growth (2024-34)
+6.4%
Annual Openings
14,600
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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