Career card

Cooks, Institution and Cafeteria

Also called: Cafeteria Cook, Cook, Dietary Cook, School Cook

Prepare and cook large quantities of food for institutions, such as schools, hospitals, or cafeterias.

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Median pay BLS, 2025$37,450
Openings a year BLS, 2025–3562,900
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +2.8%

What the data says: AI could halve the time on 3 of its 17 tasks, and jobs are projected to grow 2.8% 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, 8.0% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Cooks”
  • From Sep 2025 to Aug 2026, 5.0 hires for every 10 job openings in health care and social assistance, which employs about 40% 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 7% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$25k$50knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$27,120$21,630 to $33,3008,780
Alaska$48,580$45,740 to $53,4701,430
Arizona$39,660$36,730 to $45,9507,170
Arkansas$30,240$28,300 to $35,3006,530
California$46,390$40,240 to $52,06031,660
Colorado$42,500$38,450 to $47,9209,440
Connecticut$46,120$39,960 to $48,9904,500
Delaware$44,080$39,620 to $46,0502,680
District of Columbia$45,450$39,980 to $46,9501,500
Florida$36,250$34,480 to $39,84025,100
Georgia$35,090$30,220 to $38,2508,220
Guam$35,540$27,430 to $36,500100
Hawaii$47,770$41,180 to $59,2001,570
Idaho$35,600$30,730 to $39,0103,650
Illinois$37,440$34,560 to $43,28022,840
Indiana$35,980$31,080 to $38,48011,130
Iowa$35,810$30,970 to $37,9208,860
Kansas$31,950$28,840 to $36,0307,570
Kentucky$31,550$28,880 to $37,37011,540
Louisiana$25,490$22,290 to $30,4105,740
Maine$43,490$38,130 to $47,5201,790
Maryland$41,380$37,360 to $46,7003,370
Massachusetts$47,790$45,080 to $51,6507,430
Michigan$36,870$33,360 to $39,66013,500
Minnesota$43,460$37,840 to $46,5907,890
Mississippi$27,390$23,100 to $29,7406,420
Missouri$34,900$29,850 to $38,00013,130
Montana$37,150$33,540 to $42,9002,290
Nebraska$36,390$34,040 to $39,3704,410
Nevada$39,430$36,080 to $46,4401,650
New Hampshire$45,370$39,820 to $49,5001,720
New Jersey$44,520$37,590 to $48,0907,490
New Mexico$36,470$32,330 to $39,7003,160
New York$45,880$38,750 to $51,53017,670
North Carolina$36,140$31,290 to $39,61011,170
North Dakota$39,490$36,330 to $46,3401,820
Ohio$36,720$33,090 to $39,31023,440
Oklahoma$29,270$24,960 to $35,16010,790
Oregon$44,520$38,370 to $49,2807,150
Pennsylvania$36,540$31,160 to $41,02024,490
Puerto Rico$26,260$22,290 to $29,2507,000
Rhode Island$46,570$40,360 to $48,5501,190
South Carolina$34,960$29,130 to $37,2507,850
South Dakota$36,730$32,200 to $40,9802,120
Tennessee$35,570$30,150 to $38,86010,680
Texas$35,360$29,170 to $38,91024,740
Utah$38,200$35,640 to $45,4805,610
Vermont$46,370$41,920 to $48,6201,330
Virgin Islands$30,440$26,440 to $30,970110
Virginia$37,890$34,920 to $44,46011,170
Washington$49,670$45,760 to $58,2209,780
West Virginia$29,740$27,740 to $35,6804,420
Wisconsin$38,650$36,040 to $44,3009,890
Wyoming$36,940$31,960 to $39,9001,570

Nationally: $37,450. 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 17 tasks

1 · AI alone could halve the time 2 · AI + software built on it could 14 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI + software Monitor and record food temperatures to ensure food safety. Not published
Not much Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served. Not published
Not much Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation. Not published
Not much Clean, cut, and cook meat, fish, or poultry. Not published
Not much Rotate and store food supplies. Not published
Not much Wash pots, pans, dishes, utensils, or other cooking equipment. Not published
See all 17 tasks
Not much Apportion and serve food to facility residents, employees, or patrons. Not published
Not much Train new employees. Not published
Not much Direct activities of one or more workers who assist in preparing and serving meals. Not published
Not much Take inventory of supplies and equipment. Not published
Not much Requisition food supplies, kitchen equipment, and appliances, based on estimates of future needs. Not published
AI + software Compile and maintain records of food use and expenditures. under 0.01%
Not much Monitor use of government food commodities to ensure that proper procedures are followed. Not published
Not much Bake breads, rolls, or other pastries. Not published
AI alone Plan menus that are varied, nutritionally balanced, and appetizing, taking advantage of foods in season and local availability. 0.02%
Not much Monitor menus and spending to ensure that meals are prepared economically. Not published
Not much Determine meal prices, based on calculations of ingredient prices. 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. 2 of the 17 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 17 tasks fall under 15 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 17 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most2 of 15 activities
  • #36 Purchase goods or services
  • #39 Determine values or prices of goods or services
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
Maintain operational records 2.92#170 0.49#209
Inspect facilities or equipment 2.73#174 0.73#181
Replenish inventories of materials, equipment, or products 0.43#276 0.10#268
Purchase goods or services 47#36 0.39#220
Determine values or prices of goods or services 45#39 20#48
Develop recipes or menus 5.84#116 2.72#117
Show all 15 activities
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Direct organizational operations, activities, or procedures 1.85#204 0.36#225
Train others on operational or work procedures 1.60#211 29#38
Provide food or beverage services 1.03#234 0.19#245
Move materials, equipment, or supplies 0.65#261 0.09#272
Stock supplies or products 0.28#288 0.02#305
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 2 tasks 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

  • A recipe or meal plan69%
  • Data or a spreadsheet8%
  • A document or report6%
  • An app or website5%
  • Ideas or a brainstorm2%

How they worked with Claude

43% handed the task off57% worked on it together

6% 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 cooks, institution and cafeteria 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.Cooks, institution and cafeteria: +2.8%Cooks, Institution and CafeteriaAI 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.Cooks, institution and cafeteria: +2.8%Cooks, Institution and Cafeteria

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 2,054 moves out

  1. 1 Cooks, Restaurant Moderate +12.1% 14%
  2. 2 Food Service Managers Moderate +5.8% 6%
  3. 3 Chefs and Head Cooks Moderate +6.6% 5%
  4. 4 Cashiers High -6.5% 4%
  5. 5 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 4%

Where people moved in from

of 1,974 moves in

  1. 1 Cooks, Restaurant Moderate +12.1% 23%
  2. 2 Cashiers High -6.5% 7%
  3. 3 Food Service Managers Moderate +5.8% 7%
  4. 4 Fast Food and Counter Workers Moderate +5.8% 6%
  5. 5 Chefs and Head Cooks Moderate +6.6% 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

  • 2% less than high school
  • 71% high school
  • 14% postsecondary certificate
  • 6% some college
  • 7% bachelor's

O*NET 31.0 survey of workers in this occupation · 41 people answered.

Census survey (American Community Survey)

  • 28% less than high school
  • 42% high school
  • 19% some college
  • 5% associate's
  • 5% bachelor's
  • 1% master's

Census ACS 2024, all workers in the Census group “Cooks” · 20,501 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 the Census group “Cooks”

Programs that prepare people for it (NCES)
4 programs, such as Cooking and Related Culinary Arts, General, Food Preparation/Professional Cooking/Kitchen Assistant and Institutional Food Workers.
See all
  • Cooking and Related Culinary Arts, General
  • Food Preparation/Professional Cooking/Kitchen Assistant
  • Institutional Food Workers
  • Foodservice Systems Administration/Management

Jobs that require a credential BLS Occupational Requirements Survey 2023

42.6% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
a certificationnot published
an educational certificatenot 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 2 registered apprenticeships in this occupation (COOK (Any Ind) (Alternate Title: Nutrition Care Specialist); COOK (Any Ind)  (Alternate Title: Nutrition Care Specialist)). Apprenticeship.gov can't be linked to one occupation, so search for “Cooks, Institution and Cafeteria” 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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