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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Cooks, Fast Food are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Fast food cooking is "Somewhat Resilient" because while AI and robots are definitely changing parts of the job — like automated fry stations and AI-powered drive-thru ordering — the technology is still expensive, inconsistent, and mostly helping workers rather than replacing them entirely. The tasks that machines struggle with most, like reading whether food looks right, keeping the kitchen clean, working as a team, and making customers feel welcome, are still very much human jobs.
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 somewhat resilient
Fast food cooking is "Somewhat Resilient" because while AI and robots are definitely changing parts of the job — like automated fry stations and AI-powered drive-thru ordering — the technology is still expensive, inconsistent, and mostly helping workers rather than replacing them entirely. The tasks that machines struggle with most, like reading whether food looks right, keeping the kitchen clean, working as a team, and making customers feel welcome, are still very much human jobs.
Read full analysisAnalysis of Current AI Resilience
Cooks, Fast Food
Updated Quarterly • Last Update: 5/14/2026

The fast-food kitchen is one of the most experimented-on workplaces in the AI economy right now, but most of the change is augmenting human cooks rather than replacing them. According to a National Restaurant Association report released in early 2026, 26% of restaurant operators say they are using AI tools, with marketing and administrative work being the top use cases, while only 6% use AI for customer orders [1]. On the cooking side, Miso Robotics' Flippy is the best-known example: an AI-powered fry-station arm that now handles more than 40 fried menu items and reduces staff interactions with hot oil by 90% [2], working alongside crew at White Castle and other chains.
For ordering and service, voice AI is showing up at the drive-thru — although Taco Bell publicly rethought its voice-AI rollout in 2025 after inconsistent performance [1], and McDonald's is restarting drive-thru AI through a new Google Cloud partnership in 2026. Industry analysts describe the bigger 2026 shift as "invisible AI [3]" — software that schedules staff, forecasts inventory, and personalizes loyalty offers behind the scenes — rather than humanoid robots flipping burgers. Tasks like greeting customers, keeping the kitchen clean, and judging when food looks right still rely heavily on humans.

Adoption pressure is real but uneven. Chains face stubborn labor shortages — fast-casual and quick-service employment is only about 2% above pre-pandemic levels, and turnover can cost more than $2,700 per hourly worker [2] — so operators have strong incentives to automate. Nation's Restaurant News reports that AI is moving from a tech experiment to a tool for solving the industry's labor crisis [4], and Yum Brands (Taco Bell, KFC, Pizza Hut) is partnering with Nvidia to build AI for drive-thrus, call centers, and computer vision.
But there are big brakes on adoption: a 2024 MIT study found that more than 75% of the time it is still cheaper for companies to keep using humans than to automate jobs with AI [2], and kitchen robots are expensive specialized hardware that's hard to scale. Sweetgreen even sold its Infinite Kitchen automation division to refocus on profitability [2]. Customer acceptance is also mixed — although roughly six in ten Gen Z and millennial adults say they'd order from an AI bot [1], older customers are less comfortable.
So if you're worried about your future in this field, the honest picture is this: routine, repetitive tasks (taking orders, frying) will keep getting more automated, but the human skills of hospitality, problem-solving, food safety judgment, and teamwork are exactly what restaurants still say they need most.

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They prepare and cook quick meals like burgers and fries, ensuring orders are correct and ready for customers at fast food restaurants.
Median Wage
$30,160
Jobs (2024)
669,500
Growth (2024-34)
-13.5%
Annual Openings
82,100
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
Maintain sanitation, health, and safety standards in work areas.
Clean food preparation areas, cooking surfaces, and utensils.
Serve orders to customers at windows, counters, or tables.
Wash, cut, and prepare foods designated for cooking.
Clean, stock, and restock workstations and display cases.
Measure ingredients required for specific food items being prepared.
Prepare and serve beverages such as coffee and fountain drinks.
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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