Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Waiters and Waitresses:

42.0%

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 waiting tables is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. 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 waiters and waitresses, six of seven sources had data, with Anthropic missing. The AI exposure sources split: our AI Resilience Model rated exposure low, while Microsoft and Will Robots Take My Job rated it high. That disagreement, plus low economic opportunity from both Wage Bill and Adaptive Capacity, keeps confidence at medium and the label at "Somewhat Resilient."

AI Resilience Report forWaiters and Waitresses

$33,760 median salary456,700 annual openingsSOC Code: 35-3031.00

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 AI is genuinely changing parts of the job, like taking orders through kiosks and tablets, but the warm, human side of hospitality is proving really hard to replace. Robots can run food to a table, and voice AI can handle a drive-thru, but reading a guest's mood, making someone feel welcome, and handling an awkward moment still require a real person.

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This role is somewhat resilient

Waiting tables is labeled "Somewhat Resilient" because AI is genuinely changing parts of the job, like taking orders through kiosks and tablets, but the warm, human side of hospitality is proving really hard to replace. Robots can run food to a table, and voice AI can handle a drive-thru, but reading a guest's mood, making someone feel welcome, and handling an awkward moment still require a real person.

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Analysis of Current AI Resilience

Waiters and Waitresses

Updated Quarterly

Analysis
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State of Automation

How is AI changing Waiters and Waitresses jobs?

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.

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AI Adoption

How fast is AI adoption growing for Waiters and Waitresses?

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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Will AI replace Waiters and Waitresses?

Will AI replace Waiters and Waitresses?

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

Waiting tables earns a 42.0% AI Resilience Score, which puts it in a real zone of change. The technology is already moving in: tableside tablets, QR menus, self-order kiosks, and voice AI in drive-thrus are handling the mechanical parts of the job [1]. But so far, only 6% of restaurants use AI for customer orders, and the vast majority of operators say technology has not eliminated hospitality positions [2]. AI is mostly touching the busywork, not the guest relationship.

That human side is genuinely hard to automate. Reading the room, calming a frustrated diner, making someone feel welcome on a rough night: those things still require a person. As one industry editor put it, the technology is a long way from replacing people, and in restaurants it is not entirely clear it ever should [2].

The job market holds up reasonably well, with the BLS projecting roughly 456,700 openings per year through 2034 [3]. Wages and long-term earning power are the real concern here, not disappearance. The smarter play for anyone in this field is leaning into hospitality skills while getting comfortable with whatever tools the restaurant adopts.

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Latest AI news for Waiters and Waitresses

These articles highlight the evolving role of waiters and waitresses in an AI-driven world. The piece on Nairobi's robot servers illustrates how technology can enhance the dining experience, while the study on South Florida jobs warns of potential disruptions in customer service roles. However, embracing AI can lead to opportunities for waitstaff to focus on personalized service and creativity, ensuring their relevance in a modern restaurant landscape. By adapting to these changes, aspiring waiters can thrive alongside technology, showcasing the importance of human connection in hospitality.

More Career Info

Career: Waiters and Waitresses

They serve food and drinks to customers in restaurants, take orders, and ensure guests have a pleasant dining experience.

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

93% ResilienceCore Task

Escort customers to their tables.

2

92% ResilienceCore Task

Perform food preparation duties such as preparing salads, appetizers, and cold dishes, portioning desserts, and brewing coffee.

3

92% ResilienceCore Task

Fill salt, pepper, sugar, cream, condiment, and napkin containers.

4

91% ResilienceCore Task

Garnish and decorate dishes in preparation for serving.

5

91% ResilienceCore Task

Remove dishes and glasses from tables or counters, take them to kitchen for cleaning.

6

90% ResilienceCore Task

Prepare hot, cold, and mixed drinks for patrons, and chill bottles of wine.

7

90% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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