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 oversee food workers, making sure food is prepared safely and served properly, and they handle any problems that come up during service.
This role is evolving
This career is labeled as "Evolving" because AI is being used to handle routine tasks in restaurants, like managing sales, cooking, and cleaning. While these technologies can make operations more efficient, human supervisors are still essential for roles that require personal interaction, such as training staff, solving problems, and providing excellent customer service.
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
This career is labeled as "Evolving" because AI is being used to handle routine tasks in restaurants, like managing sales, cooking, and cleaning. While these technologies can make operations more efficient, human supervisors are still essential for roles that require personal interaction, such as training staff, solving problems, and providing excellent customer service.
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
Anthropic's Economic Index
AI Resilience
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
Food Prep Supervisors
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In restaurants today, many routine tasks use computers or machines. For example, modern cash-register systems (POS) automatically record all sales, so supervisors don’t have to do all the math by hand at closing time. Axios reports that some kitchens now use robot “arms” to cook and clean – machines that “stir-fry, flip burgers, mix drinks [and] whisk away dirty dishes” [1].
These robots can reduce food waste (one startup says by about 10% [2]) and check inventory or pouring levels. On the back end, software with AI can help with ordering, inventory, and scheduling so that problems like running out of ingredients or overspending on supplies become easier to spot. Much data entry – like logging production numbers or work hours – is also done digitally, so supervisors often just review computer reports instead of writing everything on forms.
Other tasks still need people. Training new servers or cooks often happens face-to-face. Some restaurants have experimented with virtual reality or tablet training for baristas and chefs [3], but mostly managers still teach workers in person about recipes, safety, and customer service.
Complex food work – carving meat, making a flambe dish or offering wine recommendations – is almost always done by experienced humans, even if robots help mix a drink. In short, technology handles the repetitive or measurable parts (cooking, cleaning, counting), but human supervisors are needed for teaching, problem-solving and the “personal touch” in service [4]. As one industry article puts it, the best use of AI is to empower workers, not replace them [4].

AI in the real world
Restaurants face both pressure and barriers when it comes to AI. On one hand, labor shortages and rising costs have pushed chains to try new tech. Axios notes the industry is under “worker shortages” and inflation, so many see AI as a “potential savior” to boost efficiency [1].
In fact, a Square survey found 75% of restaurant leaders were optimistic about automation, and about 74% of customers say they welcome some automation when places are short-staffed [4]. Even big companies are testing AI: for example, a report said robot chefs could cut labor and seasoning waste significantly【12†L9-L11】. These gains (less waste, faster service) could make owners adopt AI more quickly.
On the other hand, new tech is expensive and customers often prefer people. Small restaurants may not afford a robot cook or complex AI system, especially if margins are thin. Many diners also still want a human waiter or chef – one survey agrees that people don’t want tech to fully replace friendly servers [4].
In fact, experts admit that despite the hype, automation “has yet to make a meaningful impact” in most kitchens so far [2]. Overall, AI tools are available for tasks like ordering or scheduling, but each restaurant must decide if the cost is worth it. In practice, AI is being introduced slowly: it helps with routine chores and data, while human supervisors keep leading the team and caring for customers [4] [2].

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Median Wage
$42,010
Jobs (2024)
1,215,000
Growth (2024-34)
+6.0%
Annual Openings
183,900
Education
High school diploma or equivalent
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Record production, operational, and personnel data on specified forms.
Train workers in food preparation, and in service, sanitation, and safety procedures.
Perform food preparation and serving duties, such as carving meat, preparing flambe dishes, or serving wine and liquor.
Observe and evaluate workers and work procedures to ensure quality standards and service, and complete disciplinary write-ups.
Assess nutritional needs of patients, plan special menus, supervise the assembly of regular and special diet trays, and oversee the delivery of food trolleys to hospital patients.
Resolve customer complaints regarding food service.
Perform various financial activities, such as cash handling, deposit preparation, and payroll.
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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