Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

48.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Waiters and Waitresses

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

This role is evolving

The career of waiters and waitresses is labeled as "Evolving" because technology is changing how some tasks are done in restaurants. While apps and robots are helping with things like taking orders and carrying plates, the friendly and personal touch of human servers is still essential.

Read full analysis

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

The career of waiters and waitresses is labeled as "Evolving" because technology is changing how some tasks are done in restaurants. While apps and robots are helping with things like taking orders and carrying plates, the friendly and personal touch of human servers is still essential.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

14.4%

14.4%

Anthropic's Economic Index

Stable iconStable

73.6%

73.6%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

24.5%

24.5%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-0.7%

Growth Percentile:

22.8%

Annual Openings:

456,700

Annual Openings Pct:

97.4%

Analysis of Current AI Resilience

Waiters and Waitresses

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Restaurants are using more technology for routine tasks. For example, many eateries now offer contactless payment and digital ordering. Diners can tap a smartphone or use a tablet to pay bills, and touch‐screen kiosks can record orders [1].

Even some chains tried AI voice ordering at drive-throughs (though McDonald’s halted its pilot after mistakes [2]). In short, much of the math and order‐taking is now handled by apps and computers.

Some restaurants even use robot helpers. Waist-high robots (like “BellaBot”) can greet guests, guide them to tables, and carry dishes and drinks [3]. Owners say these robots ease the workload for staff [3] [3].

But robots still have limits: they struggle with stairs or uneven floors [3] and can’t read a guest’s mood. Research notes that machines “lack the intuitiveness and empathy to operate completely independently” [4]. In practice, things like checking if a customer is enjoying a meal or recommending a wine – tasks listed in official job descriptions [5] – still need a human touch.

For now, AI and robots are used more to assist waitstaff (doing simple chores and freeing servers to chat) rather than fully replace them [3].

Reveal More
AI Adoption

AI in the real world

Restaurant technology adoption is driven mainly by economics and labor. Many chains are rushing to try AI and robots for faster service and lower labor costs [2]. One café owner noted that hiring three robots (about $15,000 each) allowed him to cut his staff from six people to three, saving on monthly wages [3] [3].

In an industry with chronic staff shortages and rising wages, that promise is attractive.

However, adoption varies. Robots and AI systems can be expensive and complex to deploy. A voice-order system might sound nice, but it has to work almost flawlessly in a noisy, busy restaurant – and early trials (like McDonald’s) ran into errors [2].

Customers and staff also value the personal touch; many people still prefer talking to a friendly waiter. In fact, experts point out that bustling restaurants are “very hard to insert automation” into without problems [3].

In summary, some waiter tasks (like adding up a bill or carrying plates) are being automated, but many require human skill. For now, AI serves as a helper: it can make life easier for servers (letting them focus on guests), but the caring, problem-solving parts of the job remain with people [4] [3]. As technology improves and costs change, restaurants will keep adjusting – but human servers bring warmth and flexibility that machines can’t easily replicate.

Reveal More
Career Village Logo

Help us improve this report.

Tell us if this analysis feels accurate or we missed something.

Share your feedback

Your Career Starts Here

Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Career Village Logo

Ask a pro on CareerVillage.org. Free career advice from more than 200,000 professionals.

More Career Info

Career: Waiters and Waitresses

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

60% ResilienceSupplemental

Provide guests with information about local areas, including giving directions.

2

50% ResilienceCore Task

Check with customers to ensure that they are enjoying their meals and take action to correct any problems.

3

50% ResilienceCore Task

Describe and recommend wines to customers.

4

45% ResilienceCore Task

Prepare tables for meals, including setting up items such as linens, silverware, and glassware.

5

45% ResilienceCore Task

Bring wine selections to tables with appropriate glasses, and pour the wines for customers.

6

40% ResilienceCore Task

Check patrons' identification to ensure that they meet minimum age requirements for consumption of alcoholic beverages.

7

40% ResilienceCore Task

Inform customers of daily specials.

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.

AI Career Coach

© 2026 CareerVillage.org. All rights reserved.

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

Built with ❤️ by Sandbox Web

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.