Career card

Food Batchmakers

Also called: Batching Operator, Blender, Mixer, Mixer Operator

Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers.

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Median pay BLS, 2025$42,290
Openings a year BLS, 2025–3523,100
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Moderate
Projected job growth BLS, 2025–35 +6.5%

What the data says: AI could halve the time on 4 of its 25 tasks, and jobs are projected to grow 6.5% 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, 4.7% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 8.4 hires for every 10 job openings in nondurable goods manufacturing, which employs about 85% 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 15% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$35k$50knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$36,980$31,350 to $43,3401,280
Alaska$39,030$38,200 to $47,930100
Arizona$40,550$36,320 to $45,7902,300
Arkansas$38,990$34,990 to $45,1602,120
California$41,670$37,330 to $46,69012,560
Colorado$44,900$38,050 to $49,7103,880
Connecticut$39,110$37,450 to $42,9201,460
Delaware$37,220$34,790 to $46,890380
Florida$35,500$30,820 to $44,2503,670
Georgia$46,490$36,730 to $52,4304,290
Hawaii$37,490$34,040 to $44,630360
Idaho$49,570$39,990 to $57,6801,700
Illinois$48,130$39,000 to $57,20012,320
Indiana$39,700$35,700 to $47,8205,570
Iowa$48,300$43,640 to $59,2804,160
Kansas$42,850$38,050 to $50,6903,230
Kentucky$46,900$37,090 to $52,4304,570
Louisiana$34,620$29,260 to $37,040530
Maine$42,260$37,210 to $48,670610
Maryland$40,240$35,190 to $51,5501,390
Massachusetts$36,880$34,010 to $43,7505,100
Michigan$40,160$35,030 to $47,4905,130
Minnesota$42,940$35,940 to $51,4207,660
Mississippi$36,530$34,870 to $44,840660
Missouri$45,690$41,570 to $54,1202,280
Montana$39,630$33,280 to $47,150170
Nebraska$41,210$38,760 to $48,7001,270
Nevada$41,120$31,720 to $50,120880
New Hampshire$37,470$35,230 to $44,030190
New Jersey$38,250$34,790 to $47,5903,640
New Mexico$37,390$32,320 to $46,670450
New York$38,470$35,740 to $43,6908,460
North Carolina$36,590$32,490 to $44,1603,450
North Dakota$40,840$39,280 to $45,750250
Ohio$44,590$36,350 to $49,9907,040
Oklahoma$36,320$31,390 to $45,560930
Oregon$39,850$36,520 to $47,6303,420
Pennsylvania$39,920$35,720 to $48,6608,160
Puerto Rico$22,270$21,840 to $22,6201,520
Rhode Island$39,250$34,780 to $44,910310
South Carolina$37,070$33,730 to $45,390700
South Dakota$39,200$36,640 to $44,700660
Tennessee$42,610$37,740 to $48,5402,920
Texas$37,500$29,040 to $46,07013,250
Utah$41,390$35,740 to $48,8903,250
Vermont$50,180$41,740 to $56,4601,000
Virginia$41,080$35,760 to $51,1502,870
Washington$42,710$37,720 to $47,6505,700
West Virginia$34,660$28,760 to $45,46070
Wisconsin$48,360$42,240 to $55,72018,040
Wyoming$38,430$30,950 to $45,560100

Nationally: $42,290. 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 4 of its 25 tasks

3 · AI alone could halve the time 1 · AI + software built on it could 21 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes. Not published
Not much Clean and sterilize vats and factory processing areas. Not published
Not much Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. Not published
AI + software Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle. Not published
Not much Observe and listen to equipment to detect possible malfunctions, such as leaks or plugging, and report malfunctions or undesirable tastes to supervisors. Not published
Not much Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients. Not published
See all 25 tasks
Not much Press switches and turn knobs to start, adjust, and regulate equipment, such as beaters, extruders, discharge pipes, and salt pumps. Not published
Not much Observe gauges and thermometers to determine if the mixing chamber temperature is within specified limits, and turn valves to control the temperature. Not published
AI alone Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients. Not published
Not much Give directions to other workers who are assisting in the batchmaking process. Not published
Not much Turn valve controls to start equipment and to adjust operation to maintain product quality. Not published
Not much Select and measure or weigh ingredients, using English or metric measures and balance scales. Not published
Not much Examine, feel, and taste product samples during production to evaluate quality, color, texture, flavor, and bouquet, and document the results. Not published
AI alone Modify cooking and forming operations based on the results of sampling processes, adjusting time cycles and ingredients to achieve desired qualities, such as firmness or texture. Not published
Not much Fill processing or cooking containers, such as kettles, rotating cookers, pressure cookers, or vats, with ingredients, by opening valves, by starting pumps or injectors, or by hand. Not published
Not much Inspect vats after cleaning to ensure that fermentable residue has been removed. Not published
Not much Grade food products according to government regulations or according to type, color, bouquet, and moisture content. Not published
Not much Place products on carts or conveyors to transfer them to the next stage of processing. Not published
Not much Test food product samples for moisture content, acidity level, specific gravity, or butter-fat content, and continue processing until desired levels are reached. Not published
Not much Inspect and pack the final product. Not published
AI alone Formulate or modify recipes for specific kinds of food products. under 0.01%
Not much Manipulate products, by hand or using machines, to separate, spread, knead, spin, cast, cut, pull, or roll products. Not published
Not much Homogenize or pasteurize material to prevent separation or to obtain prescribed butterfat content, using a homogenizing device. Not published
Not much Operate refining machines to reduce the particle size of cooked batches. Not published
Not much Cool food product batches on slabs or in water-cooled kettles. 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 25 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 25 tasks fall under 18 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 up4 of 25 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most2 of 18 activities
  • #37 Determine operational methods or procedures
  • #38 Select materials or equipment for operations or projects
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
Operate industrial processing or production equipment 0.13#309 0.02#301
Determine operational methods or procedures 45#37 22#46
Inspect completed work or finished products 3.91#150 1.95#130
Evaluate production inputs or outputs 2.18#194 0.81#171
Monitor equipment operation 1.87#203 0.26#236
Select materials or equipment for operations or projects 45#38 19#49
Adjust equipment to ensure adequate performance 20#57 4.31#101
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Show all 18 activities
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Shape materials to create products 3.04#167 0.26#235
Maintain operational records 2.92#170 0.49#209
Notify others of emergencies or problems 2.78#172 4.95#92
Direct organizational operations, activities, or procedures 1.85#204 0.36#225
Inspect commercial, industrial, or production systems or equipment 0.84#245 0.32#232
Package objects 0.69#258 0.14#259
Move materials, equipment, or supplies 0.65#261 0.09#272
Operate pumping systems or equipment 0.16#307 0.02#297
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
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

  • A recipe or meal plan39%
  • Advice or a recommendation33%
  • An explanation or answer16%
  • An analysis or summary2%
  • Math or a calculation2%

How they worked with Claude

57% handed the task off43% worked on it together

16% 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 batchmakers 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 batchmakers: +6.5%Food BatchmakersAI 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 batchmakers: +6.5%Food Batchmakers

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 8,040 moves out

  1. 1 Industrial Production Managers High +2.6% 12%
  2. 2 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 11%
  3. 3 Designers, All Other High +1.2% 10%
  4. 4 Chefs and Head Cooks Moderate +6.6% 4%
  5. 5 Food Service Managers Moderate +5.8% 4%

Where people moved in from

of 5,126 moves in

  1. 1 Cashiers High -6.5% 6%
  2. 2 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 5%
  3. 3 Industrial Production Managers High +2.6% 5%
  4. 4 Designers, All Other High +1.2% 5%
  5. 5 Food Service Managers Moderate +5.8% 5%

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

  • 14% less than high school
  • 38% high school
  • 22% postsecondary certificate
  • 27% some college

O*NET 31.0 survey of workers in this occupation · 19 people answered.

Census survey (American Community Survey)

  • 17% less than high school
  • 40% high school
  • 23% some college
  • 10% associate's
  • 9% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 828 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

Programs that prepare people for it (NCES)
2 programs: Brewing Science and Zymology/Fermentation Science.

Jobs that require a credential BLS Occupational Requirements Survey 2023

12.0% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a certification<0.5%5.8%
an educational certificate<0.5%2.8%
a licensenot 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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