SOC 51-9061
Inspectors, Testers, Sorters, Samplers, and Weighers
Risk Score
โ ๏ธ68/100
High Risk
US Employment
๐ฅ591,180
Total workers
Median Wage
๐ฐ$47K
$35K โ $76K
Projected Growth
๐0%
2023-2033 (BLS)
GenAI Exposure
๐ค63/100
High exposure
๐ก Inspectors, Testers, Sorters, Samplers, and Weighers face a risk score of 68/100 โ 24 points above the national average of 44. With 63/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ
๐ก Workers in this field earn $47K ($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 68/100, Inspectors, Testers, Sorters, Samplers, and Weighers faces moderate automation pressure. While tasks like automated data interpretation and insight generation are increasingly handled by AI, the role retains significant human elements. The 591,180 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.
Will AI Replace Inspectors, Testers, Sorters, Samplers, and Weighers?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ
โ ๏ธ Top Risk Factors
Automated data interpretation and insight generation
Industrial robotics replacing manual assembly tasks
Large language model automation of analysis tasks
AI summarization replacing manual report compilation
๐ก๏ธ Tasks Safe from Automation
Troubleshooting complex equipment malfunctions
Quality judgment requiring tactile and visual inspection
Setup and calibration of custom production runs
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
Discard or reject products, materials, or equipment not meeting specifications.
Mark items with details, such as grade or acceptance-rejection status.
Measure dimensions of products to verify conformance to specifications, using measuring instruments, such as rulers, calipers, gauges, or micrometers.
Notify supervisors or other personnel of production problems.
Inspect, test, or measure materials, products, installations, or work for conformance to specifications.
๐ป Technology Skills
Data base management system software
Content workflow software
Computer aided design CAD software
Computer aided manufacturing CAM software
Industrial control software
๐ Key Knowledge Areas
Production and Processing
English Language
Customer and Personal Service
Mechanical
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 | 61% |
| First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors | 25 | $62K | 51% |
| Fabric and Apparel Patternmakers | 33 | $68K | 70% |