Rankings β Will AI Replaceβ¦
Will AI Replace Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders?
π‘ Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders have a composite risk score of 66/100 (Frey-Osborne probability: 88%, GenAI exposure: 48/100). With 54,200 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 54,200 workers and a median wage of $50K,separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders represent a significant portion of the US workforce. Their GenAI exposure index is 48%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
66/100
Employment
54,200
Median Wage
$50K
GenAI Exposure
48%
β οΈ 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
π‘οΈ Tasks AI Can't Easily Replace
Troubleshooting complex equipment malfunctions
Coordinating workflow across diverse production teams
Handling non-standard materials and configurations
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
57% skills overlap Β· $106K median wage
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors
67% skills overlap Β· $62K median wage
Fabric and Apparel Patternmakers
81% skills overlap Β· $68K median wage
β Frequently Asked Questions
Will AI completely replace separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders?
Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders have a composite AI automation risk score of 66 out of 100, classified as "High Risk".
How many separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders are there in the US?
There are approximately 54,200 separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders employed in the United States.
What do separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders earn?
The median annual wage for separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders is $50K.
What skills should separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders develop?
Focus on tasks AI can't easily replicate: troubleshooting complex equipment malfunctions, coordinating workflow across diverse production teams, handling non-standard materials and configurations. These human-centric skills will become more valuable as routine tasks are automated.