Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Cooks, Fast Food:

48.8%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient fast food cook 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 fast food cooks, seven of eight sources had data, with Anthropic missing. AI exposure was split: AI Resilience Model and OpenAI Signals rated human contribution high, while Will Robots Take My Job rated it low and Microsoft landed in the middle. Demand is steady but pay and mobility signals are weak, keeping confidence at medium and the score at "Somewhat Resilient."

AI Resilience Report forCooks, Fast Food

$30,890 median salary86,400 annual openingsSOC Code: 35-2011.00

Cooks, Fast Food are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Fast food cooking is "Somewhat Resilient" because while AI and robotics are definitely making their way into kitchens and drive-thrus, the technology is still expensive, sometimes unreliable, and not yet ready to take over everything. Robots like Flippy can handle frying, and AI can help manage orders and monitor performance, but the tasks that matter most, like keeping things clean, handling unexpected situations, and making customers feel welcome, still need real humans.

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This role is somewhat resilient

Fast food cooking is "Somewhat Resilient" because while AI and robotics are definitely making their way into kitchens and drive-thrus, the technology is still expensive, sometimes unreliable, and not yet ready to take over everything. Robots like Flippy can handle frying, and AI can help manage orders and monitor performance, but the tasks that matter most, like keeping things clean, handling unexpected situations, and making customers feel welcome, still need real humans.

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Analysis of Current AI Resilience

Cooks, Fast Food

Updated Quarterly

Analysis
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State of Automation

How is AI changing Cooks, Fast Food jobs?

Fast food kitchens are one of the most visible testing grounds for AI right now, but the story is more about helping workers than replacing them entirely. A lot of the action is at the front counter and drive-thru: McDonald's is piloting an AI-powered operating system called ArchIQ, including a voice-based drive-thru assistant named Archy, developed in partnership with Google and designed to streamline kitchen operations and reduce unnecessary work for crew members. Behind the scenes, tools like Solink's new Drive-Thru AI use existing cameras to give operators real-time performance monitoring across the drive-thru [1], which helps with the "verify quality and quantity" tasks.

On the cooking side, robotics are progressing more slowly. Miso Robotics' third-generation Flippy can fry and portion more than 40 menu items and reduce staff interactions with the machinery by 90%, and CEO Rich Hull says it does the job twice as fast and "never comes in sick". But machinery automating some tasks has proven expensive to build and maintain, let alone scale widely across the food service industry — Kernel's robot restaurant closed and Sweetgreen sold off its automated "Infinite Kitchen" division.

Sources

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AI Adoption

How fast is AI adoption growing for Cooks, Fast Food?

The biggest push for adoption is labor. According to a TD Bank survey of 253 restaurant franchise leaders [2], 54% of operators cited a shrinking labor pool as their biggest concern, and labor efficiency, training and scheduling were the top areas where AI could help (40%). Cost is less of a barrier than you might think — one workforce tech expert told the National Restaurant Association that price is rarely the biggest barrier because operators already pay for legacy systems [3] that require manual work anyway.

Social acceptance is a real speed bump, though: Dairy Queen's expansion of AI drive-thru ordering with Presto sparked customer backlash [4], and McDonald's earlier IBM partnership was ended in 2024 after viral videos of wrong orders. And as Fast Casual points out [5], privacy expectations and data regulations are tightening month by month. The takeaway: the tasks least likely to be automated soon — cleaning, sanitation, handling unexpected situations, and giving customers real hospitality — are exactly the human skills that make you valuable in this field.

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Will AI replace Cooks, Fast Food?

Will AI replace Cooks, Fast Food?

Not entirely. We think AI will take over some tasks, but not the whole job.

Fast food kitchens are one of the most visible testing grounds for automation right now. Robots like Miso Robotics' Flippy can fry and portion dozens of menu items, and AI tools are reshaping drive-thru ordering and kitchen monitoring [1]. But scaling this technology is expensive and fragile. Kernel's robot restaurant closed, and McDonald's ended its AI ordering partnership in 2024 after viral videos of wrong orders. The technology is real, but it is not ready to run a kitchen on its own.

Our AI Resilience Score for this role sits at 48.8%, which reflects genuine pressure but not a wipeout. The tasks most at risk are repetitive and physical, like frying and portioning. What stays human is everything harder to script: cleaning, handling unexpected situations, and giving customers actual hospitality. A TD Bank survey of restaurant franchise leaders found that labor efficiency and training were the top areas where operators want AI to help [2], which suggests the goal is a better-supported worker, not an empty kitchen.

The economic picture is the real concern here. Wages in this field are low, and career flexibility is limited. If you work in fast food, learning to operate and troubleshoot new tools will matter more over time [3].

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Latest AI news for Cooks, Fast Food

As fast-food chains increasingly adopt AI, students pursuing careers as cooks should embrace these changes as opportunities. For instance, McDonald's is using AI to improve order accuracy, which can enhance customer satisfaction and streamline kitchen operations. Additionally, the rise of AI chatbots like Burger King's 'Patty' shows that technology can support staff while ensuring quality service. Understanding and adapting to these innovations will help future cooks thrive in a rapidly evolving industry, demonstrating resilience in their careers.

More Career Info

Career: Cooks, Fast Food

They prepare and cook quick meals like burgers and fries, ensuring orders are correct and ready for customers at fast food restaurants.

Employment & Wage Data

Median Wage

$30,890

Jobs (2025)

640,500

Growth (2025-35)

+0.6%

Annual Openings

86,400

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

85% ResilienceCore Task

Maintain sanitation, health, and safety standards in work areas.

2

80% ResilienceCore Task

Take out garbage.

3

75% ResilienceCore Task

Clean food preparation areas, cooking surfaces, and utensils.

4

72% ResilienceCore Task

Clean, stock, and restock workstations and display cases.

5

70% ResilienceCore Task

Wash, cut, and prepare foods designated for cooking.

6

65% ResilienceCore Task

Serve orders to customers at windows, counters, or tables.

7

62% ResilienceCore Task

Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time.

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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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.