SOC 51-9012
Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders
Risk Score
โ ๏ธ66/100
High Risk
US Employment
๐ฅ54,200
Total workers
Median Wage
๐ฐ$50K
$36K โ $76K
Projected Growth
๐-4.3%
2023-2033 (BLS)
GenAI Exposure
๐ค48/100
Moderate exposure
๐ก Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders face a risk score of 66/100 โ 22 points above the national average of 44. With only 48/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ
๐ก Workers in this field earn $50K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ
๐ AI Impact Analysis
With a risk score of 66/100, Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders faces moderate automation pressure. While tasks like smart factory scheduling and production optimization are increasingly handled by AI, the role retains significant human elements. The 54,200 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and coordinating workflow across diverse production teams to stay ahead. The role will likely evolve rather than disappear.
Will AI Replace Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ
โ ๏ธ Top Risk Factors
Smart factory scheduling and production optimization
Cobots handling repetitive material handling tasks
Automated CNC programming and machine operation
AI quality inspection via computer vision systems
๐ก๏ธ Tasks Safe from Automation
Troubleshooting complex equipment malfunctions
Coordinating workflow across diverse production teams
Handling non-standard materials and configurations
๐ Task Automation Breakdown
Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.
๐ O*NET Task Profile
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.
๐ป Technology Skills
Electronic mail software
Spreadsheet software
Office suite software
Presentation software
Word processing software
๐ Key Knowledge Areas
Production and Processing
Mechanical
English Language
Public Safety and Security
Mathematics
๐ vs National Average
National avg: $46K
National avg: 44/100
National avg: 38/100
National avg: 3.7%
๐ Career Transition Paths
| Occupation | Risk | Wage | Overlap |
|---|---|---|---|
| Engineers | 20 | $106K | 57% |
| First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors | 25 | $62K | 67% |
| Fabric and Apparel Patternmakers | 33 | $68K | 81% |