Headline risk
17%
Moderate RiskSeparating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
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.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 49,500
Employment 2024
54.4K
Projected Change (2024–34)
-4.3%
Openings (2024–34)
5.4K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Monitor material flow or instruments, such as temperature or pressure gauges, indicators, or meters, to ensure optimal processing conditions. AI use: 0%
- 2. Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure. AI use: 0%
- 3. Turn valves or move controls to admit, drain, separate, filter, clarify, mix, or transfer materials. AI use: 0%
- 4. Operate machines to process materials in compliance with applicable safety, energy, or environmental regulations. AI use: 0%
- 5. Inspect machines or equipment for hazards, operating efficiency, malfunctions, wear, or leaks. AI use: 0%
- 6. Examine samples to verify qualities such as clarity, cleanliness, consistency, dryness, or texture. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 40.6 · 55K employed
Under 25: 4% · 25–54: 80% · 55+: 16%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.