Waiter/Waitress
Structural exposure score derived from 2 independent sources (OpenAI "GPTs are GPTs" (human_rating_beta) + AIOE (Felten, Raj & Seamans)), each normalized against its own full reference population and combined by simple average, then converted to a percentile.
We have not ingested real-world usage data for this occupation yet. We show a band only where genuine data exists, rather than estimate one.
What a waiter/waitress actually does
Waiters and waitresses take orders and serve food and beverages to guests at tables in restaurants, hotels, and other dining establishments, acting as the main point of contact between the kitchen and the customer for the length of a meal.
Daily work includes greeting guests and presenting menus, answering questions about dishes, ingredients, and allergens, taking food and drink orders and relaying them accurately to the kitchen and bar, delivering dishes and checking in during the meal, and processing payment at the end of service.
Servers read a table's pace in real time, judging when to check in, when to leave a couple alone, and when a table needs the check dropped quickly because they're in a hurry, then adjust their approach guest by guest. This is a huge, well-known occupation by raw employment, over 2. 3 million workers nationally, concentrated in full-service restaurants but also present in hotels, banquet halls, and private clubs.
Most servers earn a significant share of their income through tips, and the role requires balancing multiple tables at once, remembering complex modifications and allergies accurately, and staying composed during a packed dinner rush.
Why it reads this way
Waiter/Waitress scores 75/100 on this site's structural exposure measure, and the mandatory robotic-displacement check under this site's research protocol (RESEARCH-CHECKLIST. md §2a) was applied carefully given how much real robot activity now exists in restaurants. Bear Robotics' Servi and competitors like Pudu's BellaBot have scaled fast, Bear alone expects roughly 10,000 units deployed across 44 U. S.
states by the end of 2026, with pilots at chains including Denny's and a 61-store rollout at Chili's, and Pudu has deployed more than 56,000 units worldwide.
That real deployment is disclosed honestly rather than downplayed, but it doesn't clear this site's materiality bar for direct displacement: these robots carry plates and bus tubs between the kitchen and the table, they don't take orders, build rapport with guests, upsell a dessert, or process payment.
A published case study found 70% of staff called the robot a helpful extra set of hands rather than a threat to their job, and 77% of guests reported their actual server had more time for them, not less, evidence of augmentation, not replacement.
Self-service ordering technology is a real, disclosed headwind rather than a hidden risk: the Bureau of Labor Statistics' current 2025-2035 projection names "increases in the use of self-service technology, such as kiosks that allow customers to order and pay for food" directly as a factor limiting growth for this occupation, alongside rising carryout demand.
That's a real, government-tracked signal worth taking seriously, but the same BLS projection still shows employment growing, +2% through 2035, not declining, and no full-service restaurant chain has been found eliminating table-service positions at scale as of 2026. The core of the job, physically carrying plates and drinks through a crowded, unpredictable room while reading a table's mood and handling a guest's specific requests in the moment, remains work no current system performs end to end.
Skills this role draws on
We don't yet have task-by-task time-share data for this occupation, so we can't show which specific tasks carry the exposure score above. This is the real skill set instead.
Typical salary range (USD)
$18,100–$64,720
Average: $35,230/yr
Range source: O*NET OnLine / BLS Occupational Employment and Wage Statistics, 2025 wage data, SOC 35-3031.00 'Waiters and Waitresses'
Average source: O*NET OnLine 2025 wage data (Annual Median Wage) for Waiters and Waitresses (35-3031.00); min/max from O*NET OnLine's 10th-90th percentile wage range (My Next Move / O*NET consumer data). BLS notes these figures reflect employer-reported base wages and may not fully capture tip income.
Related careers
Head-to-head comparisons
Waiter/Waitress scores 75/100 (Medium confidence), clearing the mandatory physical-automation check under RESEARCH-CHECKLIST.md §2a: real robot servers (Bear Robotics' Servi, ~10,000 units expected across 44 states by end of 2026; Pudu's BellaBot, 56,000+ deployed worldwide) are commercially deployed and growing, but industry case-study data and vendor framing confirm they carry plates and bus tables rather than replacing the order-taking, payment, and guest-service tasks that define this occupation, so they don't clear the materiality bar for direct task displacement. BLS's current 2025-2035 projection explicitly names self-service ordering kiosks and rising carryout as factors limiting growth, a real, disclosed headwind, but the same projection still shows +2% growth through 2035, not decline, and no full-service restaurant chain has been found cutting table-service headcount at scale as of 2026. This occupation's core work, real-time table-side service and guest judgment, remains squarely physical and human, as of 2026-09.
This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-03-07.
Sources (5)
- https://www.onetonline.org/link/summary/35-3031.00
- https://www.bls.gov/ooh/food-preparation-and-serving/waiters-and-waitresses.htm
- https://www.bearrobotics.ai/
- https://www.roboticscenter.ai/blog/restaurant-robot-guide
- https://www.nrn.com/restaurant-technology/bear-robotics-and-softbank-join-forces-to-mass-produce-servi-foodservice-robot
Data sources & methodology
Salary data: O*NET OnLine / BLS Occupational Employment and Wage Statistics, 2025 wage data, SOC 35-3031.00 'Waiters and Waitresses'. Min/max figures represent the 10th–90th percentile annual wage range across the United States. Average figure sourced separately: O*NET OnLine 2025 wage data (Annual Median Wage) for Waiters and Waitresses (35-3031.00); min/max from O*NET OnLine's 10th-90th percentile wage range (My Next Move / O*NET consumer data). BLS notes these figures reflect employer-reported base wages and may not fully capture tip income..
Automation Risk Score: Based on O*NET occupational analysis (35-3031.00) evaluating task complexity, physical requirements, social intelligence, and environmental variability. Methodology based on research from Frey & Osborne (Oxford, 2017).
Growth projections: +2% (2025-2035), slower than average; BLS explicitly names growth in self-service ordering kiosks and rising carryout demand as factors limiting growth for this occupation, alongside 423,100 average annual openings mostly from replacement needs (BLS Occupational Outlook Handbook), based on BLS Occupational Outlook Handbook.