Career card

Food Preparation Workers

Also called: Cook, Deli Clerk (Delicatessen Clerk), Dietary Aide, Food Service Worker (FSW)

Perform a variety of food preparation duties other than cooking, such as preparing cold foods and shellfish, slicing meat, and brewing coffee or tea.

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Median pay BLS, 2025$35,320
Openings a year BLS, 2025–35135,700
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -3.0%

What the data says: AI could halve the time on 3 of its 31 tasks, and jobs are projected to shrink 3.0% 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, 7.3% 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 58% 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

$24k$41knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$27,930$22,000 to $34,49017,680
Alaska$35,720$34,000 to $38,6102,800
Arizona$36,750$34,220 to $39,16016,590
Arkansas$27,660$25,900 to $32,3905,500
California$39,350$37,010 to $44,540112,750
Colorado$38,960$34,690 to $44,74012,080
Connecticut$36,650$35,340 to $40,21012,250
Delaware$35,930$31,860 to $38,1402,400
District of Columbia$39,600$38,070 to $44,0403,970
Florida$35,920$30,420 to $37,44073,100
Georgia$35,250$29,610 to $37,70026,450
Guam$21,820$21,240 to $22,580530
Hawaii$38,160$33,310 to $46,9205,950
Idaho$31,510$27,530 to $36,8504,670
Illinois$34,850$31,200 to $37,88034,820
Indiana$29,700$27,550 to $35,93016,200
Iowa$30,360$28,260 to $36,2004,170
Kansas$30,280$27,700 to $35,2907,680
Kentucky$26,850$22,790 to $33,89015,390
Louisiana$23,620$21,480 to $28,67030,920
Maine$36,030$33,760 to $39,0604,560
Maryland$35,500$33,020 to $38,47013,280
Massachusetts$38,900$36,060 to $44,58013,620
Michigan$31,180$27,690 to $35,91017,380
Minnesota$34,850$30,550 to $38,24024,620
Mississippi$26,240$21,430 to $30,1007,870
Missouri$31,510$29,220 to $37,05013,650
Montana$33,860$28,710 to $37,1102,990
Nebraska$35,210$29,870 to $37,4406,890
Nevada$33,460$28,870 to $40,92011,420
New Hampshire$36,780$31,000 to $39,3303,420
New Jersey$35,540$33,530 to $38,47024,730
New Mexico$33,370$28,590 to $35,8406,850
New York$35,610$34,320 to $40,25062,380
North Carolina$30,260$26,610 to $36,12024,960
North Dakota$36,800$31,510 to $38,430980
Ohio$34,530$28,930 to $38,07019,480
Oklahoma$28,540$22,870 to $33,9607,430
Oregon$37,450$35,100 to $42,86011,860
Pennsylvania$30,840$27,830 to $36,08017,940
Puerto Rico$22,400$21,840 to $23,2504,130
Rhode Island$35,470$32,200 to $42,0302,830
South Carolina$32,180$27,860 to $36,97014,460
South Dakota$30,430$28,170 to $34,1403,270
Tennessee$28,700$24,350 to $35,82019,780
Texas$30,650$27,110 to $37,05081,280
Utah$33,540$29,770 to $38,40010,530
Vermont$36,550$35,220 to $42,9201,350
Virgin Islands$30,460$28,540 to $31,220390
Virginia$34,900$30,940 to $37,31016,340
Washington$40,910$35,880 to $47,39019,510
West Virginia$28,360$23,280 to $31,3802,960
Wisconsin$34,070$28,870 to $37,94017,990
Wyoming$36,110$30,920 to $39,6101,620

Nationally: $35,320. 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 31 tasks

0 · AI alone could halve the time 3 · AI + software built on it could 28 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Clean and sanitize work areas, equipment, utensils, dishes, or silverware. Not published
Not much Carry food supplies, equipment, and utensils to and from storage and work areas. Not published
Not much Remove trash and clean kitchen garbage containers. Not published
Not much Store food in designated containers and storage areas to prevent spoilage. Not published
Not much Assist cooks and kitchen staff with various tasks as needed, and provide cooks with needed items. Not published
AI + software Inform supervisors when equipment is not working properly and when food and supplies are getting low, and order needed items. Not published
See all 31 tasks
Not much Weigh or measure ingredients. under 0.01%
Not much Vacuum dining area and sweep and mop kitchen floor. Not published
Not much Wash, peel, and cut various foods, such as fruits and vegetables, to prepare for cooking or serving. Not published
Not much Receive and store food supplies, equipment, and utensils in refrigerators, cupboards, and other storage areas. Not published
Not much Take and record temperature of food and food storage areas, such as refrigerators and freezers. Not published
Not much Use manual or electric appliances to clean, peel, slice, and trim foods. Not published
Not much Load dishes, glasses, and tableware into dishwashing machines. Not published
Not much Place food trays over food warmers for immediate service, or store them in refrigerated storage cabinets. Not published
Not much Stock cupboards and refrigerators, and tend salad bars and buffet meals. Not published
Not much Stir and strain soups and sauces. Not published
Not much Scrape leftovers from dishes into garbage containers. Not published
Not much Prepare a variety of foods, such as meats, vegetables, or desserts, according to customers' orders or supervisors' instructions, following approved procedures. Not published
Not much Mix ingredients for green salads, molded fruit salads, vegetable salads, and pasta salads. Not published
Not much Assemble meal trays with foods in accordance with patients' diets. Not published
AI + software Distribute food to waiters and waitresses to serve to customers. Not published
Not much Portion and wrap food, or place it directly on plates for service to patrons. Not published
Not much Add cutlery, napkins, food, and other items to trays on assembly lines in hospitals, cafeterias, airline kitchens, and similar establishments. Not published
Not much Prepare and serve a variety of beverages, such as coffee, tea, and soft drinks. Not published
Not much Make special dressings and sauces as condiments for sandwiches. Not published
AI + software Keep records of the quantities of food used. under 0.01%
Not much Cut, slice or grind meat, poultry, and seafood to prepare for cooking. Not published
Not much Distribute menus to hospital patients, collect diet sheets, and deliver food trays and snacks to nursing units or directly to patients. Not published
Not much Package take-out foods or serve food to customers. Not published
Not much Butcher and clean fowl, fish, poultry, and shellfish to prepare for cooking or serving. Not published
Not much Operate cash register, handle money, and give correct change. 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 31 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 31 tasks fall under 16 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 31 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 16 activities
  • #11 Provide information to guests, clients, or customers
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
Stock supplies or products 0.28#288 0.02#305
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
Dispose of waste or debris 3.05#166 0.57#192
Provide food or beverage services 1.03#234 0.19#245
Package objects 0.69#258 0.14#259
Provide information to guests, clients, or customers 134#11 1,154#3
Show all 16 activities
Prepare mixtures or solutions 14#71 3.65#105
Communicate with others about operational plans or activities 9.39#92 28#39
Execute financial transactions 9.32#95 0.16#253
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Maintain operational records 2.92#170 0.49#209
Monitor equipment operation 1.87#203 0.26#236
Distribute materials, supplies, or resources 1.10#229 12#62
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: “Distribute materials, supplies, or resources” holds 1 task rated AI + software, yet people asked AI for help with it in 1.10 of every 10,000 conversations, #229 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • Data or a spreadsheet35%
  • A recipe or meal plan23%
  • An explanation or answer11%
  • Math or a calculation10%
  • An app or website6%

How they worked with Claude

79% handed the task off21% worked on it together

5% 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 preparation workers 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 preparation workers: -3.0%Food Preparation WorkersAI 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 preparation workers: -3.0%Food Preparation Workers

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 61,773 moves out

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

Where people moved in from

of 42,789 moves in

  1. 1 Cashiers High -6.5% 8%
  2. 2 Waiters and Waitresses Moderate +2.0% 5%
  3. 3 Customer Service Representatives Very high -5.3% 4%
  4. 4 Retail Salespersons Very high -0.3% 4%
  5. 5 Fast Food and Counter Workers Moderate +5.8% 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

  • 3% less than high school
  • 1% postsecondary certificate
  • 4% research doctorate
  • 92% not published

O*NET marks 92% of the answers as too uncertain to publish, so the parts shown don't add up to 100%.

O*NET 31.0 survey of workers in this occupation · 17 people answered.

Census survey (American Community Survey)

  • 27% less than high school
  • 41% high school
  • 19% some college
  • 5% associate's
  • 6% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 9,196 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

33.4% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
a certification<0.5%5.8%
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

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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