Job Exposure
Index

Home / All jobs / Production

AI exposure score

Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders

Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders score 14 out of 100, which is low exposure to AI. That ranks #694 of 923 US occupations, where #1 is the most exposed. Of the 21 tasks in this job, AI could speed up 2 on its own and 1 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

14/ 100
Low
Rank
#694of 923 jobs
US workers
60,100BLS, May 2025
Median pay
$51,610a year
In real AI use
0 of 21tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 2 (10%)
  • AI can speed this up with extra software: 1 (5%)
  • Little or no AI speed-up: 18 (86%)
  • Communicate processing instructions to other workers.AI can speed this up on its own · core task
  • Maintain logs of instrument readings, test results, or shift production for entry in computer databases.AI can speed this up on its own · core task
  • Examine samples to verify qualities such as clarity, cleanliness, consistency, dryness, or texture.AI can speed this up with extra software · core task
  • Dump, pour, or load specified amounts of refined or unrefined materials into equipment or containers for further processing or storage.Little or no AI speed-up · core task
  • Operate machines to process materials in compliance with applicable safety, energy, or environmental regulations.Little or no AI speed-up · core task
  • Monitor material flow or instruments, such as temperature or pressure gauges, indicators, or meters, to ensure optimal processing conditions.Little or no AI speed-up · core task
  • Turn valves or move controls to admit, drain, separate, filter, clarify, mix, or transfer materials.Little or no AI speed-up · core task
  • Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure.Little or no AI speed-up · core task
  • Start agitators, shakers, conveyors, pumps, or centrifuge machines.Little or no AI speed-up · core task
  • Inspect machines or equipment for hazards, operating efficiency, malfunctions, wear, or leaks.Little or no AI speed-up · core task
  • Collect samples of materials or products for laboratory analysis.Little or no AI speed-up · core task
  • Turn valves to pump sterilizing solutions or rinse water through pipes or equipment or to spray vats with atomizers.Little or no AI speed-up · core task
  • Remove clogs, defects, or impurities from machines, tanks, conveyors, screens, or other processing equipment.Little or no AI speed-up · core task
  • Clean or sterilize tanks, screens, inflow pipes, production areas, or equipment, using hoses, brushes, scrapers, or chemical solutions.Little or no AI speed-up · core task
  • Measure or weigh materials to be refined, mixed, transferred, stored, or otherwise processed.Little or no AI speed-up · supplemental task
  • Test samples to determine viscosity, acidity, specific gravity, or degree of concentration, using test equipment such as viscometers, pH meters, or hydrometers.Little or no AI speed-up · supplemental task
  • Install, maintain, or repair hoses, pumps, filters, or screens to maintain processing equipment, using hand tools.Little or no AI speed-up · supplemental task
  • Connect pipes between vats and processing equipment.Little or no AI speed-up · supplemental task
  • Assemble fittings, valves, bowls, plates, disks, impeller shafts, or other parts to prepare equipment for operation.Little or no AI speed-up · supplemental task
  • Remove full containers from discharge outlets and replace them with empty containers.Little or no AI speed-up · supplemental task
  • Pack bottles into cartons or crates, using machines.Little or no AI speed-up · supplemental task

Questions about separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders and AI

Will AI replace separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders?

Unlikely. Most of the work is hard for today's AI to speed up. Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders score 14 out of 100 (low exposure), #694 of 923 US jobs. AI could speed up 3 of the job's 21 tasks, 2 of them on its own, while 18 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders tasks can AI do?

The most exposed tasks include "Communicate processing instructions to other workers"; "Maintain logs of instrument readings, test results, or shift production for entry in computer databases".

Which separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders tasks are hardest for AI?

Tasks with little or no AI speed-up include "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".

Are people already using AI for this work?

Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.

How many people work as separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders, and what do they earn?

About 60,100 people in the US, with median pay of $51,610 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

The weekly exposure report

Know what's changing before it reaches your job.

One short email a week: which jobs are most exposed, the research worth knowing about, and one practical step you can take.

Free · one email a week · unsubscribe anytime