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How exposed to AI is a Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tender?

Of the 21 tasks O*NET lists for separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders, 0 could be done in half the time with a chat window today. 18 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
BlenderBrewerCellar WorkerDigester CookMachine TenderPaper Machine TenderPlant OperatorPulper OperatorWinemaker
Reachable today Needs software built first Cannot be sped up
21
tasks rated for this occupation
1%
hold a degree, from a survey of 30
49k
people do this job in the US
50 of 107
least protected in production

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Only with software built on top

3
  • Examine samples to verify qualities such as clarity, cleanliness, consistency, dryness, or texture
  • Communicate processing instructions to other workers
  • Maintain logs of instrument readings, test results, or shift production for entry in computer databases

Cannot be sped up

18
  • Dump, pour, or load specified amounts of refined or unrefined materials into equipment or containers for further processing or storage
  • Operate machines to process materials in compliance with applicable safety, energy, or environmental regulations
  • Monitor material flow or instruments, such as temperature or pressure gauges, indicators, or meters, to ensure optimal processing conditions
  • Turn valves or move controls to admit, drain, separate, filter, clarify, mix, or transfer materials
  • Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure
  • Start agitators, shakers, conveyors, pumps, or centrifuge machines
  • Inspect machines or equipment for hazards, operating efficiency, malfunctions, wear, or leaks
  • Collect samples of materials or products for laboratory analysis
  • Turn valves to pump sterilizing solutions or rinse water through pipes or equipment or to spray vats with atomizers
  • Remove clogs, defects, or impurities from machines, tanks, conveyors, screens, or other processing equipment
  • Clean or sterilize tanks, screens, inflow pipes, production areas, or equipment, using hoses, brushes, scrapers, or chemical solutions
  • Measure or weigh materials to be refined, mixed, transferred, stored, or otherwise processed
  • Test samples to determine viscosity, acidity, specific gravity, or degree of concentration, using test equipment such as viscometers, pH meters, or hydrometers
  • Install, maintain, or repair hoses, pumps, filters, or screens to maintain processing equipment, using hand tools
  • Connect pipes between vats and processing equipment
  • Assemble fittings, valves, bowls, plates, disks, impeller shafts, or other parts to prepare equipment for operation
  • Remove full containers from discharge outlets and replace them with empty containers
  • Pack bottles into cartons or crates, using machines
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.