Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They serve food and drinks to customers in restaurants, take orders, and ensure guests have a pleasant dining experience.
This role is changing fast
The career of waiters and waitresses is changing fast because many routine tasks, like taking orders and processing payments, are being automated with apps and kiosks. Some restaurants are even using robots to help carry dishes and greet guests.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of waiters and waitresses is changing fast because many routine tasks, like taking orders and processing payments, are being automated with apps and kiosks. Some restaurants are even using robots to help carry dishes and greet guests.
Read full analysisContributing 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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Waiters and Waitresses
Updated Quarterly • Last Update: 2/17/2026

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].

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.

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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
Provide guests with information about local areas, including giving directions.
Check with customers to ensure that they are enjoying their meals and take action to correct any problems.
Describe and recommend wines to customers.
Prepare tables for meals, including setting up items such as linens, silverware, and glassware.
Bring wine selections to tables with appropriate glasses, and pour the wines for customers.
Check patrons' identification to ensure that they meet minimum age requirements for consumption of alcoholic beverages.
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.

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