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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
Waiters and Waitresses are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Waiting tables is labeled "Somewhat Resilient" because while AI is genuinely changing parts of the job — think QR-code menus, self-order kiosks, and robot food-runners handling the more mechanical tasks — the heart of the work is still very much human. Greeting guests warmly, reading the mood of a table, and making people feel genuinely welcome are things technology is a long way from replicating well.
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
Waiting tables is labeled "Somewhat Resilient" because while AI is genuinely changing parts of the job — think QR-code menus, self-order kiosks, and robot food-runners handling the more mechanical tasks — the heart of the work is still very much human. Greeting guests warmly, reading the mood of a table, and making people feel genuinely welcome are things technology is a long way from replicating well.
Read full analysisAnalysis of Current AI Resilience
Waiters and Waitresses
Updated Quarterly • Last Update: 5/14/2026

If you're worried that robots will replace waiters tomorrow, take a deep breath — the reality is more nuanced. According to a recent National Restaurant Association report, 26% of restaurant operators say they are using artificial intelligence-related tools at their restaurants, but most of that AI is working behind the scenes. Marketing is the top area where AI tools are being used, while only 6% of restaurants are using AI for customer orders.
So far, AI is mostly helping with scheduling, inventory, and ads — not taking your tables.
That said, augmentation is creeping onto the dining floor. Tableside tablets, QR-code menus, and self-order kiosks now handle the "write down the order" part of the job, and chains like Yum Brands and McDonald's are experimenting with voice AI in drive-thrus [1]. Some restaurants are even rolling out robot food-runners that ferry plates from kitchen to booth.
But importantly, the vast majority of operators (94%) say technology has not led to the elimination of hospitality positions — these tools are mostly freeing servers from busywork rather than replacing them.
The human side of the job is proving stubbornly hard to automate. As Restaurant Business editor Jonathan Maze put it, the technology is a long way from being able to successfully replace people, and in restaurants it's not entirely evident that it ever should. He argues that AI can free workers to do the things AI cannot [2] — like greeting guests and reading the room — which is exactly why chains like Chick-fil-A and Chili's still lean hard into human service.

Several forces are pushing restaurants toward AI: rising food and labor costs, thin profit margins, and a chronic struggle to staff dining rooms. The NRA frames technology as an "essential asset," as operators face increased operational costs and constrained consumer spending, and six in 10 operators say they plan to invest more in technology to enhance the customer experience. Younger diners are open to it too — roughly six in 10 millennials and Gen Z adults said they would place an order with an AI-generated bot.
But adoption is also slowing for real reasons. Customers don't fully buy in: nearly two-thirds of operators believe technology improves hospitality, while only 41% of consumers agree, and only 39% of consumers said they would be comfortable placing their order with an AI-generated persona. Cost and reliability are issues too — Taco Bell famously had to rethink its drive-thru voice AI after inconsistent performance [1], and McDonald's ended its IBM voice partnership in 2024.
The labor math also cuts both ways. The U.S. Bureau of Labor Statistics projects waiter and waitress employment to decline just 1% from 2024–34 [3], with roughly 456,700 openings each year from turnover. That's a huge, resilient job market.
The big takeaway: the 2026 industry conversation centers on using AI to help workers, not replace them [4] — so warmth, hospitality, and being able to read a guest's mood remain skills that pay.

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They serve food and drinks to customers in restaurants, take orders, and ensure guests have a pleasant dining experience.
Median Wage
$33,760
Jobs (2024)
2,329,700
Growth (2024-34)
-0.7%
Annual Openings
456,700
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
Escort customers to their tables.
Perform food preparation duties such as preparing salads, appetizers, and cold dishes, portioning desserts, and brewing coffee.
Fill salt, pepper, sugar, cream, condiment, and napkin containers.
Garnish and decorate dishes in preparation for serving.
Remove dishes and glasses from tables or counters, take them to kitchen for cleaning.
Prepare hot, cold, and mixed drinks for patrons, and chill bottles of wine.
Stock service areas with supplies such as coffee, food, tableware, and linens.
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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