Career card

Food Servers, Nonrestaurant

Also called: Food Service Worker, Room Server, Room Service Server, Tray Server

Serve food to individuals outside of a restaurant environment, such as in hotel rooms, hospital rooms, residential care facilities, or cars.

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Median pay BLS, 2025$35,360
Openings a year BLS, 2025–3548,800
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Moderate
Projected job growth BLS, 2025–35 +4.5%

What the data says: AI could halve the time on 3 of its 14 tasks, and jobs are projected to grow 4.5% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 6.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 5.0 hires for every 10 job openings in health care and social assistance, which employs about 66% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 3% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$27k$39knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$29,000$27,010 to $30,8602,920
Alaska$38,090$31,760 to $45,840430
Arizona$35,390$33,870 to $38,1704,620
Arkansas$27,600$26,420 to $29,3303,540
California$39,010$36,650 to $46,90032,430
Colorado$38,900$35,990 to $45,8507,750
Connecticut$35,950$34,930 to $37,7405,050
Delaware$31,430$31,200 to $34,3901,010
District of Columbia$37,920$37,220 to $44,3501,260
Florida$33,930$30,510 to $36,20019,240
Georgia$31,530$28,920 to $37,0404,970
Hawaii$37,920$33,990 to $58,090880
Idaho$34,220$31,200 to $35,900930
Illinois$35,080$31,290 to $37,36017,560
Indiana$31,840$28,720 to $35,7003,900
Iowa$30,110$28,440 to $34,6105,270
Kansas$29,040$24,440 to $31,5001,270
Kentucky$32,200$28,150 to $36,8503,660
Louisiana$27,200$21,490 to $30,1502,380
Maine$37,680$34,710 to $41,310540
Maryland$36,650$34,450 to $38,6606,600
Massachusetts$36,750$35,110 to $38,2605,830
Michigan$34,260$30,200 to $36,7707,700
Minnesota$36,000$34,680 to $38,11011,090
Mississippi$27,250$22,820 to $29,8601,860
Missouri$31,840$29,900 to $35,5907,490
Montana$32,090$29,250 to $37,3601,050
Nebraska$31,540$29,450 to $35,1903,800
Nevada$36,030$32,970 to $41,5501,820
New Hampshire$36,710$31,180 to $39,5901,770
New Jersey$36,390$33,820 to $38,69011,400
New Mexico$35,740$32,840 to $37,500670
New York$39,370$35,660 to $48,74017,520
North Carolina$31,460$27,880 to $37,5408,820
North Dakota$36,910$34,460 to $38,3101,630
Ohio$30,440$28,340 to $36,11015,320
Oklahoma$28,490$26,950 to $34,8001,760
Oregon$36,620$34,710 to $43,7504,420
Pennsylvania$33,300$29,480 to $38,02013,940
Puerto Rico$21,840$21,840 to $23,040540
Rhode Island$34,860$33,780 to $37,8601,020
South Carolina$31,740$28,460 to $35,9202,990
South Dakota$31,980$28,900 to $33,750160
Tennessee$30,670$27,630 to $36,1805,230
Texas$29,300$25,920 to $34,02014,340
Utah$30,170$27,810 to $35,9302,430
Vermont$37,540$36,100 to $46,410780
Virgin Islands$29,760$28,350 to $63,340not published
Virginia$35,090$30,630 to $36,9607,420
Washington$38,870$36,760 to $45,7908,050
West Virginia$30,170$27,670 to $32,890460
Wisconsin$34,670$31,210 to $37,3906,680
Wyoming$33,090$23,220 to $37,930250

Nationally: $35,360. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 3 of its 14 tasks

0 · AI alone could halve the time 3 · AI + software built on it could 11 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Place food servings on plates or trays according to orders or instructions. Not published
AI + software Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed. Not published
Not much Examine trays to ensure that they contain required items. Not published
Not much Load trays with accessories, such as eating utensils, napkins, or condiments. Not published
Not much Clean or sterilize dishes, kitchen utensils, equipment, or facilities. Not published
Not much Carry food, silverware, or linen on trays or use carts to carry trays. Not published
See all 14 tasks
Not much Remove trays and stack dishes for return to kitchen after meals are finished. Not published
Not much Stock service stations with items, such as ice, napkins, or straws. Not published
Not much Take food orders and relay orders to kitchens or serving counters so they can be filled. Not published
AI + software Monitor food preparation or serving techniques to ensure that proper procedures are followed. Not published
Not much Prepare food items, such as sandwiches, salads, soups, or beverages. Not published
AI + software Record amounts and types of special food items served to customers. under 0.01%
Not much Determine where patients or patrons would like to eat their meals and help them get situated. Not published
Not much Total checks, present them to customers, and accept payment for services. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 1 of the 14 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 14 tasks fall under 11 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up3 of 14 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 11 activities
  • #19 Provide general assistance to others, such as customers, patrons, or motorists
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Prepare foods or beverages 12#82 0.79#174
Monitor operations to ensure adequate performance 3.59#153 0.73#180
Stock supplies or products 0.28#288 0.02#305
Provide general assistance to others, such as customers, patrons, or motorists 102#19 1,104#4
Communicate with others about operational plans or activities 9.39#92 28#39
Execute financial transactions 9.32#95 0.16#253
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Inspect completed work or finished products 3.91#150 1.95#130
Show all 11 activities
Maintain operational records 2.92#170 0.49#209
Provide food or beverage services 1.03#234 0.19#245
Move materials, equipment, or supplies 0.65#261 0.09#272
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Maintain operational records” holds 1 task rated AI + software, yet people asked AI for help with it in 2.92 of every 10,000 conversations, #170 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • Data or a spreadsheet68%
  • A recipe or meal plan16%
  • Advice or a recommendation4%
  • A chart or visualization4%
  • A design mockup4%

How they worked with Claude

84% handed the task off16% worked on it together

4% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for food servers, nonrestaurant specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Food servers, nonrestaurant: +4.5%Food Servers, NonrestaurantAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Food servers, nonrestaurant: +4.5%Food Servers, Nonrestaurant

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 5,270 moves out

  1. 1 Waiters and Waitresses Moderate +2.0% 11%
  2. 2 Office Clerks, General Very high -6.0% 6%
  3. 3 Cooks, Restaurant Moderate +12.1% 4%
  4. 4 Customer Service Representatives Very high -5.3% 4%
  5. 5 First-Line Supervisors of Food Preparation and Serving Workers High +5.4% 3%

Where people moved in from

of 4,006 moves in

  1. 1 Waiters and Waitresses Moderate +2.0% 18%
  2. 2 Retail Salespersons Very high -0.3% 6%
  3. 3 Cashiers High -6.5% 6%
  4. 4 Fast Food and Counter Workers Moderate +5.8% 5%
  5. 5 Customer Service Representatives Very high -5.3% 4%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 27% less than high school
  • 48% high school
  • 1% postsecondary certificate
  • 9% some college
  • 2% associate's
  • 6% bachelor's
  • 7% post-doctoral training

O*NET 31.0 survey of workers in this occupation · 26 people answered.

Census survey (American Community Survey)

  • 19% less than high school
  • 36% high school
  • 25% some college
  • 7% associate's
  • 11% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 2,060 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in this occupation

Jobs that require a credential BLS Occupational Requirements Survey 2023

43.2% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
a certification0.8%5.8%
an educational certificate<0.5%2.8%

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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