Will AI replace Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders?
AI can do 11% of the work Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders do at least twice as fast. Real use has not caught up: none of their tasks show up in real AI use yet, but AI could speed up 3 of them. Robots can technically handle 15 physical tasks. 2 still need a person.
AI is already doing this0 · 0% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Real AI use has not reached any of this job's tasks yet.
AI could do this next3 · 11% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Maintain logs of instrument readings, test results, or shift production for entry in computer databases.5% of time
- Examine samples to verify qualities such as clarity, cleanliness, consistency, dryness, or texture.4% of time
- Communicate processing instructions to other workers.3% of time
Robots can technically do this15 · 69% of time
Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.
- Operate machines to process materials in compliance with applicable safety, energy, or environmental regulations.Robots: purpose built settings10% of time
- Clean or sterilize tanks, screens, inflow pipes, production areas, or equipment, using hoses, brushes, scrapers, or chemical solutions.Robots: structured workplaces9% of time
- Turn valves or move controls to admit, drain, separate, filter, clarify, mix, or transfer materials.Robots: purpose built settings8% of time
- Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure.Robots: structured workplaces6% of time
- Dump, pour, or load specified amounts of refined or unrefined materials into equipment or containers for further processing or storage.Robots: purpose built settings6% of time
- Collect samples of materials or products for laboratory analysis.Robots: purpose built settings4% of time
- Test samples to determine viscosity, acidity, specific gravity, or degree of concentration, using test equipment such as viscometers, pH meters, or hydrometers.Robots: purpose built settings4% of time
- Measure or weigh materials to be refined, mixed, transferred, stored, or otherwise processed.Robots: purpose built settings4% of time
- Inspect machines or equipment for hazards, operating efficiency, malfunctions, wear, or leaks.Robots: structured workplaces4% of time
- Remove clogs, defects, or impurities from machines, tanks, conveyors, screens, or other processing equipment.Robots: purpose built settings4% of time
- Turn valves to pump sterilizing solutions or rinse water through pipes or equipment or to spray vats with atomizers.Robots: purpose built settings3% of time
- Remove full containers from discharge outlets and replace them with empty containers.Robots: purpose built settings3% of time
- Start agitators, shakers, conveyors, pumps, or centrifuge machines.Robots: structured workplaces3% of time
- Assemble fittings, valves, bowls, plates, disks, impeller shafts, or other parts to prepare equipment for operation.Robots: purpose built settings3% of time
- Connect pipes between vats and processing equipment.Robots: purpose built settings1% of time
Still needs a person2 · 20% of time
No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.
- Monitor material flow or instruments, such as temperature or pressure gauges, indicators, or meters, to ensure optimal processing conditions.16% of time
- Install, maintain, or repair hoses, pumps, filters, or screens to maintain processing equipment, using hand tools.4% of time
Your week is not the average
Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.
What this means
Little of this work suits AI. The bigger change here is robots: today's robots can technically do 73% of the working time, though they are rarely cheap enough to replace people yet.
What to do next
- Get ahead on the 3 tasks AI could do next. These move as tools improve, so learning them early pays off.
- Keep an eye on the 15 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
- Build on the 2 tasks that stay human. This is where your judgment, skill and relationships matter most.
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