Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Waiters and Waitresses:
43.4%
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
AI Resilience Report forWaiters and Waitresses
$35,230 median salary•423,100 annual openings•SOC Code: 35-3031.00
Waiters and Waitresses are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Waiter and waitress jobs are labeled "Somewhat Resilient" because AI is already changing real parts of the work, like taking over scheduling, reservations, and payment processing, but it hasn't replaced the person actually serving you. The core of this job, reading a table's mood, making guests feel genuinely welcome, and building the kind of connection that earns a good tip, is something robots and software still can't pull off in a busy dining room.
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Waiter and waitress jobs are labeled "Somewhat Resilient" because AI is already changing real parts of the work, like taking over scheduling, reservations, and payment processing, but it hasn't replaced the person actually serving you. The core of this job, reading a table's mood, making guests feel genuinely welcome, and building the kind of connection that earns a good tip, is something robots and software still can't pull off in a busy dining room.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Waiters and Waitresses
Updated Quarterly
How is AI changing Waiters and Waitresses jobs?
If you've ever ordered from a tablet at your table or paid with a QR code, you've already seen how AI is reshaping this job — mostly by taking over back-end tasks rather than replacing the person who brings your food. According to Nation's Restaurant News, POS companies PAR and Square recently launched AI "agents" that can run marketing campaigns, draft employee schedules, and handle other tasks on operators' behalf, and voice-AI systems increasingly handle reservations and phone orders that servers used to juggle [1]. Payment and check-splitting — the tasks flagged as most "automatable" — are already largely handled by self-service kiosks and pay-at-the-table devices, while McKinsey's 2026 outlook describes a future built around automated kitchens, AI-powered hyperpersonalization, and "unbundled" restaurant formats [2] rather than robots replacing floor staff.
Physical serving robots exist but remain niche, and QSR Magazine argues that sit-down dining still depends on attentive human interaction, and that AI works best when it frees servers to focus on hospitality [3].
Sources
How fast is AI adoption growing for Waiters and Waitresses?
Adoption is accelerating because the economics are tough: QSR Pro reports labor costs are climbing alongside food costs while minimum wages rise and hiring gets harder [4], and the National Restaurant Association's 2026 outlook highlights persistent cost pressures shaping operator decisions [5]. Still, full replacement is slow — guests want warmth, tips depend on connection, and robots struggle with crowded dining rooms. The U.S. Bureau of Labor Statistics projects waiter employment will dip only about 1% from 2024 to 2034, with roughly 456,700 openings each year [6], meaning the role isn't disappearing.
If you work in this field, the smart move is to lean into the human skills — reading a table, upselling, making guests feel welcome — that AI genuinely can't replicate.
Sources
Will AI replace Waiters and Waitresses?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 43.4% AI Resilience Score reflects that reality. AI is already handling the parts of this job that don't require a human in the room: scheduling, marketing, reservations, and phone orders are increasingly managed by AI agents and voice systems [1]. Pay-at-the-table kiosks have largely replaced the check-splitting and payment steps that used to eat up a server's time. The back end of restaurant work is automating fast, driven by rising labor costs and tighter margins [4].
But the floor itself is a different story. Sit-down dining still depends on reading a table, making guests feel welcome, and the kind of warmth that drives tips and return visits [3]. Physical serving robots exist but remain niche, and full replacement is slow because guests want connection, not just efficiency. The Bureau of Labor Statistics projects waiter employment will dip only about 1% through 2034, with roughly 456,700 openings each year [6], so the role is not disappearing anytime soon.
If you work in this field, the move is to lean into exactly what AI cannot replicate: genuine hospitality, attentiveness, and the human moments that make a meal memorable.
Sources
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Latest AI news for Waiters and Waitresses
As students consider careers as waiters and waitresses, these articles highlight the evolving landscape of the food service industry influenced by AI. For instance, "Are robot waiters the future?" discusses how automation may help address labor shortages, suggesting a shift in job roles. Meanwhile, "The workers that will bear the brunt of the AI disruption" warns that lower-wage positions, like those in food service, are at risk. However, "Popular Does Not Mean Good" emphasizes the irreplaceable value of human interaction in dining, encouraging future waitstaff to enhance their knowledge and customer service skills for resilience in an AI-driven world.
Popular Does Not Mean Good and That’s Where ChatGPT Gets Food Wrong
www.foodandwine.com • 1/26/2026
AI can suggest what's popular, but it can't replace a server who knows the menu. Here's why asking ChatGPT what to order misses the point.
AI poses potential threat to these popular South Florida jobs, study says
www.bizjournals.com • 8/8/2025
AI could reshape South Florida's job market, with customer service roles at risk. Microsoft study reveals which occupations face disruption.
AI In The Food Industry: Bots In Restaurants
www.harlemworldmagazine.com • 9/19/2024
The food service industry is embracing robotic technology and artificial intelligence (AI), modernizing restaurant operations and customer...
The workers that will bear the brunt of the AI disruption
www.axios.com • 7/27/2023
The workers most likely to be replaced by advances in artificial intelligence are those in lower-wage occupations, concludes a new report...
Are robot waiters the future? Some restaurants think so
www.latimes.com • 4/6/2023
Many think robot waiters are a solution to the restaurant industry's labor shortages and sales have been growing rapidly,...
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.
Parent Careers
Employment & Wage Data
Median Wage
$35,230
Jobs (2025)
2,284,400
Growth (2025-35)
+2.0%
Annual Openings
423,100
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Bring wine selections to tables with appropriate glasses, and pour the wines for customers.
2
Prepare tables for meals, including setting up items such as linens, silverware, and glassware.
3
Garnish and decorate dishes in preparation for serving.
4
Serve food or beverages to patrons, and prepare or serve specialty dishes at tables as required.
5
Perform food preparation duties, such as preparing salads, appetizers, and cold dishes, portioning desserts, and brewing coffee.
6
Prepare hot, cold, and mixed drinks for patrons, and chill bottles of wine.
7
Check patrons' identification to ensure that they meet minimum age requirements for consumption of alcoholic beverages.
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.
