Career card

Dining Room and Cafeteria Attendants and Bartender Helpers

Also called: Barback, Bus Boy, Bus Person, Busser

Facilitate food service. Clean tables; remove dirty dishes; replace soiled table linens; set tables; replenish supply of clean linens, silverware, glassware, and dishes; supply service bar with food; and serve items such as water, condiments, and coffee to patrons.

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Median pay BLS, 2025$33,980
Openings a year BLS, 2025–3595,300
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +5.3%

What the data says: AI couldn't halve the time on any of its 23 tasks, and jobs are projected to grow 5.3% 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, 8.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 10.1 hires for every 10 job openings in accommodation and food services, which employs about 83% 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 1% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$22k$51knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$22,470$18,750 to $28,7403,420
Alaska$27,040$25,140 to $30,790860
Arizona$36,500$32,050 to $41,88013,300
Arkansas$27,670$25,600 to $32,3102,160
California$36,010$34,820 to $39,93075,460
Colorado$36,790$32,140 to $46,9008,460
Connecticut$34,540$34,010 to $36,4905,810
Delaware$31,880$31,200 to $35,8401,540
District of Columbia$39,080$36,670 to $48,2004,130
Florida$33,280$29,530 to $37,08050,400
Georgia$28,920$22,900 to $35,69014,540
Guam$21,720$20,730 to $21,720300
Hawaii$51,200$33,340 to $61,5204,380
Idaho$27,810$22,110 to $31,3101,520
Illinois$31,200$31,200 to $34,01021,290
Indiana$28,320$23,130 to $33,34010,220
Iowa$28,210$20,400 to $31,3003,250
Kansas$26,300$19,010 to $31,3902,960
Kentucky$26,330$20,640 to $30,7803,350
Louisiana$26,780$18,760 to $31,8404,810
Maine$38,560$33,360 to $50,2201,540
Maryland$37,020$34,120 to $39,37013,240
Massachusetts$35,380$32,100 to $45,52011,510
Michigan$30,390$28,390 to $37,45013,050
Minnesota$29,210$26,090 to $34,6707,220
Mississippi$23,180$20,690 to $28,2102,620
Missouri$31,850$28,600 to $37,43011,590
Montana$27,510$22,530 to $34,8301,150
Nebraska$30,690$28,500 to $36,0802,160
Nevada$27,460$25,470 to $37,06012,750
New Hampshire$26,290$21,000 to $34,2901,510
New Jersey$34,170$32,900 to $37,56016,490
New Mexico$29,360$27,390 to $34,5502,960
New York$36,740$34,060 to $46,33041,340
North Carolina$27,560$21,470 to $32,72011,230
North Dakota$31,010$27,050 to $35,320890
Ohio$29,400$26,430 to $35,30013,670
Oklahoma$26,830$21,490 to $31,2905,400
Oregon$36,800$34,080 to $40,1903,910
Pennsylvania$29,310$23,350 to $35,43020,800
Puerto Rico$22,450$21,840 to $23,7101,070
Rhode Island$31,200$31,200 to $34,6002,880
South Carolina$26,830$19,110 to $33,2406,220
South Dakota$29,920$28,640 to $34,5802,550
Tennessee$29,470$23,110 to $35,01011,330
Texas$21,550$17,090 to $28,69060,270
Utah$27,010$21,690 to $34,1104,490
Vermont$34,120$32,400 to $39,940not published
Virgin Islands$51,760$37,510 to $52,00070
Virginia$32,410$28,930 to $37,01011,910
Washington$41,420$36,390 to $48,6206,160
West Virginia$27,150$22,950 to $31,2701,170
Wisconsin$27,080$20,850 to $32,4207,220
Wyoming$24,600$21,430 to $34,790650

Nationally: $33,980. 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 none of its 23 tasks

0 · AI alone could halve the time 0 · AI + software built on it could 23 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Wipe tables or seats with dampened cloths or replace dirty tablecloths. Not published
Not much Clean up spilled food or drink or broken dishes and remove empty bottles and trash. Not published
Not much Maintain adequate supplies of items, such as clean linens, silverware, glassware, dishes, or trays. Not published
Not much Locate items requested by customers. 0.02%
Not much Set tables with clean linens, condiments, or other supplies. Not published
Not much Serve ice water, coffee, rolls, or butter to patrons. Not published
See all 23 tasks
Not much Scrape and stack dirty dishes and carry dishes and other tableware to kitchens for cleaning. Not published
Not much Fill beverage or ice dispensers. Not published
Not much Greet and seat customers. Not published
Not much Perform serving, cleaning, or stocking duties in establishments, such as cafeterias or dining rooms, to facilitate customer service. Not published
Not much Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors. Not published
Not much Stock cabinets or serving areas with condiments and refill condiment containers. Not published
Not much Serve food to customers when waiters or waitresses need assistance. Not published
Not much Carry food, dishes, trays, or silverware from kitchens or supply departments to serving counters. Not published
Not much Run cash registers. Not published
Not much Carry trays from food counters to tables for cafeteria patrons. Not published
Not much Replenish supplies of food or equipment at steam tables or service bars. Not published
Not much Garnish foods and position them on tables to make them visible and accessible. Not published
Not much Carry linens to or from laundry areas. Not published
Not much Slice and pit fruit used to garnish drinks. Not published
Not much Wash glasses or other serving equipment at bars. Not published
Not much Mix and prepare flavors for mixed drinks. Not published
Not much Stock refrigerating units with wines or bottled beer or replace empty beer kegs. 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 23 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 23 tasks fall under 12 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 up0 of 23 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most2 of 12 activities
  • #11 Provide information to guests, clients, or customers
  • #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
Provide food or beverage services 1.03#234 0.19#245
Stock supplies or products 0.28#288 0.02#305
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Move materials, equipment, or supplies 0.65#261 0.09#272
Prepare foods or beverages 12#82 0.79#174
Provide information to guests, clients, or customers 134#11 1,154#3
Provide general assistance to others, such as customers, patrons, or motorists 102#19 1,104#4
Prepare mixtures or solutions 14#71 3.65#105
Show all 12 activities
Execute financial transactions 9.32#95 0.16#253
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Replenish inventories of materials, equipment, or products 0.43#276 0.10#268
Escort others 0.20#297 0.07#276
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”)

How people in this work use Claude

What people in this work made with Claude % of conversations

  • Advice or a recommendation32%
  • An explanation or answer32%
  • An image or graphic4%
  • An analysis or summary3%
  • Ideas or a brainstorm2%

How they worked with Claude

75% handed the task off25% worked on it together

10% 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 dining room and cafeteria attendants and bartender helpers 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.Dining room and cafeteria attendants and bartender helpers: +5.3%Dining Room and Cafeteria Attendants and Bartender HelpersAI 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.Dining room and cafeteria attendants and bartender helpers: +5.3%Dining Room and Cafeteria Attendants and Bartender Helpers

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 42,645 moves out

  1. 1 Waiters and Waitresses Moderate +2.0% 10%
  2. 2 Retail Salespersons Very high -0.3% 4%
  3. 3 Food Service Managers Moderate +5.8% 3%
  4. 4 Fast Food and Counter Workers Moderate +5.8% 3%
  5. 5 Cashiers High -6.5% 3%

Where people moved in from

of 26,923 moves in

  1. 1 Waiters and Waitresses Moderate +2.0% 13%
  2. 2 Cashiers High -6.5% 6%
  3. 3 Fast Food and Counter Workers Moderate +5.8% 5%
  4. 4 Retail Salespersons Very high -0.3% 4%
  5. 5 Customer Service Representatives Very high -5.3% 3%

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

  • 22% less than high school
  • 74% high school
  • 2% postsecondary certificate
  • 1% associate's

O*NET 31.0 survey of workers in this occupation · 20 people answered.

Census survey (American Community Survey)

  • 33% less than high school
  • 36% high school
  • 20% some college
  • 5% associate's
  • 5% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 2,823 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

27.5% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
an educational certificate<0.5%2.8%
a certificationnot published

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

  • Certification Finder ↗ certifications CareerOneStop lists for this occupation
  • Training Finder ↗ schools and programs, nationwide; narrow the place there
  • License Finder ↗ licenses by state
  • Apprenticeship Finder ↗ DOL lists 1 registered apprenticeship in this occupation (COOK, CHIEF). Apprenticeship.gov can't be linked to one occupation, so search for “Dining Room and Cafeteria Attendants and Bartender Helpers” there.

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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