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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%).
High
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
Fast Food and Counter Workers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Fast food and counter work is "Somewhat Resilient" because AI is genuinely changing big parts of the job — self-serve kiosks, voice-ordering bots, and burger-flipping robots are already handling tasks that workers used to do — but the full picture is more complicated than scary headlines suggest. Real-world rollouts keep hitting speed bumps: robot partnerships have collapsed, some drive-thru AI got pulled because customers simply didn't like it, and specialized equipment is expensive to maintain and scale.
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 and counter work is "Somewhat Resilient" because AI is genuinely changing big parts of the job — self-serve kiosks, voice-ordering bots, and burger-flipping robots are already handling tasks that workers used to do — but the full picture is more complicated than scary headlines suggest. Real-world rollouts keep hitting speed bumps: robot partnerships have collapsed, some drive-thru AI got pulled because customers simply didn't like it, and specialized equipment is expensive to maintain and scale.
Read full analysisAnalysis of Current AI Resilience
Fast Food/Counter Worker
Updated Quarterly • Last Update: 5/14/2026

If you've ordered food at a self-serve kiosk, talked to a voice bot at a drive-thru, or watched a robot flip burgers on TikTok, you've already seen AI quietly reshape this job. A University of California–Santa Cruz field study of 100+ California outlets found that "order kiosks, mobile apps, Artificial Intelligence drive-through ordering systems, as well as other innovative assembly technologies, are being tested and implemented with the goal to reduce labor requirements." On the back-of-house side, Miso Robotics' third-generation "Flippy" robot can fry and portion more than 40 menu items and reduce staff interactions with the machinery by 90%, leasing for about $5,000 per month — "less than you would pay the equivalent human" [1]. Front-of-house, chains like Taco John's are piloting "Olena," a voice AI that takes drive-thru orders, while Nekter Juice Bar is testing AI bots that answer phones and handle online tasks [2].
For now, AI is mostly augmenting workers — handling repetitive ordering, monitoring inventory, and freeing humans to focus on food prep, hospitality, and problem-solving.

Adoption is being pushed hard by labor pressures. A TD Bank survey of restaurant franchise leaders found 54% cited a shrinking labor pool as their biggest concern for 2026, and operators ranked labor efficiency, training, and scheduling as the top area where AI could help [3]. Rising minimum wages — like California's $20/hour fast-food floor — are accelerating kiosk and voice-AI rollouts too.
But adoption isn't as fast as the headlines suggest. Miso ended partnerships with CaliBurger and Panera, and Kernel — a robot-arm restaurant in Manhattan — closed within a year, showing that specialized hardware is expensive to build, maintain, and scale [1]. Customer pushback matters: Taco John's pulled voice AI from three smaller-community locations where customers "didn't buy in" [2], and QSR Magazine warns chains must "get right" the human touch and accuracy before scaling AI ordering [4].
The bigger picture is reassuring: Brookings and the Budget Lab at Yale found "stability, rather than disruption" in the labor market since ChatGPT launched, with no AI jobs apocalypse visible in the data [5]. Translation for you: expect your job to look different — less register-punching, more hospitality, food quality, and tech-assisting — but human warmth, speed under pressure, and judgment still pay off.

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They prepare and serve food quickly, take orders, handle payments, and ensure customers have a good dining experience.
Median Wage
$30,480
Jobs (2024)
3,796,000
Growth (2024-34)
+6.1%
Annual Openings
904,300
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
Take customers' orders and write ordered items on tickets, giving ticket stubs to customers when needed to identify filled orders.
Pack food, dishes, utensils, tablecloths, and accessories for transportation from catering or food preparation establishments to locations designated by customers.
Monitor and order supplies or food items and restock as necessary to maintain inventory.
Provide caterers with assistance in food preparation or service.
Serve food, beverages, or desserts to customers in such settings as take-out counters of restaurants or lunchrooms, business or industrial establishments, hotel rooms, and cars.
Distribute food to servers.
Scrub and polish counters, steam tables, and other equipment, and clean glasses, dishes, and fountain equipment.
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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