SOC 51-9023
Mixing and Blending Machine Setters, Operators, and Tenders
Risk Score
โ ๏ธ70/100
High Risk
US Employment
๐ฅ100,840
Total workers
Median Wage
๐ฐ$48K
$35K โ $68K
Projected Growth
๐-6.8%
2023-2033 (BLS)
GenAI Exposure
๐ค61/100
High exposure
๐ก Mixing and Blending Machine Setters, Operators, and Tenders face a risk score of 70/100 โ 26 points above the national average of 44. With 61/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ
๐ก Workers in this field earn $48K ($1K 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 70/100, Mixing and Blending Machine Setters, Operators, and Tenders faces significant automation pressure. Key threats include large language model automation of analysis tasks and generative ai producing marketing and creative copy. The 100,840 Americans in this role should actively develop skills in setup and calibration of custom production runs and handling non-standard materials and configurations to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.
Will AI Replace Mixing and Blending 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
Large language model automation of analysis tasks
Generative AI producing marketing and creative copy
Cobots handling repetitive material handling tasks
AI coding assistants reducing developer demand
๐ก๏ธ Tasks Safe from Automation
Setup and calibration of custom production runs
Handling non-standard materials and configurations
Quality judgment requiring tactile and visual inspection
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
Weigh or measure materials, ingredients, or products to ensure conformance to requirements.
Read work orders to determine production specifications or information.
Observe production or monitor equipment to ensure safe and efficient operation.
Mix or blend ingredients by starting machines and mixing for specified times.
Stop mixing or blending machines when specified product qualities are obtained and open valves and start pumps to transfer mixtures.
๐ป Technology Skills
Electronic mail software
Enterprise resource planning ERP software
Spreadsheet software
Office suite software
Operating system software
๐ Key Knowledge Areas
Production and Processing
English Language
Mechanical
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 | 65% |
| First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors | 25 | $62K | 55% |
| Fabric and Apparel Patternmakers | 33 | $68K | 74% |