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).