Will AI replace Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders?
AI reaches little of this job’s work.
8/100
Low exposure
More exposed to AI than 19% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 17% of the work
What the job involves
Set up, operate, or tend continuous flow or vat-type equipment; filter presses; shaker screens; centrifuges; condenser tubes; precipitating, fermenting, or evaporating tanks; scrubbing towers; or batch stills. These machines extract, sort, or separate liquids, gases, or solids from other materials to recover a refined product. Includes dairy processing equipment operators.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Communicate processing instructions to other workers.
- Examine samples to verify qualities such as clarity, cleanliness, consistency, dryness, or texture.
- Maintain logs of instrument readings, test results, or shift production for entry in computer databases.
Out of reach(17)
- Inspect machines or equipment for hazards, operating efficiency, malfunctions, wear, or leaks.
- Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure.
- Collect samples of materials or products for laboratory analysis.
- Monitor material flow or instruments, such as temperature or pressure gauges, indicators, or meters, to ensure optimal processing conditions.
- Operate machines to process materials in compliance with applicable safety, energy, or environmental regulations.
and 12 more
Also called
Brewer · Cellar Worker · Pasteurizer · Winemaker · Centrifugal Operator · Carbonation Equipment Operator · Centrifuge Operator · Dewaterer Operator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics