Will AI replace food batchmakers?

Unlikely, though parts of the work are changing. About 1h 55m of an 8-hour shift goes to tasks touched by robots. The other 6h 5m (76%) stays with people. Separately, BLS expects about 6.5% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 5 of this job's tasks in workplaces like this one, about 1h 55m of a typical shift. 16 more tasks have only been done in factory setups built around the machine, so they stay with people here.

• Clean and sterilize vats and factory processing areas. (49m a shift; e.g. Rosie (CleanBotix), in use)
• Observe and listen to equipment to detect possible malfunctions, such as leaks or plugging, and report malfunctions or undesirable tastes to supervisors. (18m a shift; e.g. Spot (thermal camera + Fluke SV600 acoustic imager) with Orbit, in use)
• Observe gauges and thermometers to determine if the mixing chamber temperature is within specified limits, and turn valves to control the temperature. (18m a shift; e.g. Tetra Pak dairy process line hot-water heating loop (temperature transmitter + controller + steam-regulating valve), in use)
• Place products on carts or conveyors to transfer them to the next stage of processing. (18m a shift; e.g. Chef Robotics ChefOS robotic food assembly system, in use)

6h 5m of a typical shift, or 76%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes. (1h 13m a shift)
• Select and measure or weigh ingredients, using English or metric measures and balance scales. (43m a shift)
• Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients. (36m a shift)
• Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle. (30m a shift)
• Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. (18m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 77% talk face to face with others every day
• 69% work at arm's length or closer to other people
• 66% carry high or very high responsibility for other workers' safety

We track 1 sourced company move that affects this job. Most recent:

• Apr 17, 2026: Chef Robotics says its food assembly robots reached 100 million servings (Rolling out)

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 23,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $42,290 a year ($20.33 an hour), 17% below the median for all U.S. jobs ($50,980). Most people in this job earn between $31,990 and $58,940 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 6.5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 188,000 jobs in 2035. It expects about 23,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 175,000 people in the U.S., roughly 0.11% of all workers (BLS, May 2025). That makes it the 190th largest of the 796 jobs on this site. BLS expects about 188,000 in 2035.

The most common requirement is a high school diploma: about 38% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Operations Monitoring, Operation and Control, Coordination, Reading Comprehension
• Get strong at the parts of the job that stay with people (listed above), which take 6h 5m of a typical shift
• Tools employers list: Microsoft Office software

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Packaging and Filling Machine Operators and Tenders (37m touched, $43k median pay)
• Bakers (19m touched, $37k median pay)
• Agricultural Products Graders and Sorters (0m touched, $36k median pay)

Each task carries its own evidence label. For this job: 5 with robots in real deployments, 20 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.