π‘ Sewers, Hand have a composite risk score of 66/100 (Frey-Osborne probability: 99%, GenAI exposure: 10/100). With 2,240 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 2,240 workers and a median wage of $34K,sewers, hand represent a significant portion of the US workforce. Their GenAI exposure index is 10%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
66/100
Employment
2,240
Median Wage
$34K
GenAI Exposure
10%
β οΈ Top Risk Factors
AI quality inspection via computer vision systems
Industrial robotics replacing manual assembly tasks
Smart factory scheduling and production optimization
Automated CNC programming and machine operation
π‘οΈ Tasks AI Can't Easily Replace
Quality judgment requiring tactile and visual inspection
Troubleshooting complex equipment malfunctions
Setup and calibration of custom production runs
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
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
Supervisors of Production Workers
79% skills overlap Β· $71K median wage
β Frequently Asked Questions
Will AI completely replace sewers, hand?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for sewers, hand?
Sewers, Hand have a composite AI automation risk score of 66 out of 100, classified as "High Risk".
How many sewers, hand are there in the US?
There are approximately 2,240 sewers, hand employed in the United States.
What do sewers, hand earn?
The median annual wage for sewers, hand is $34K.
What skills should sewers, hand develop?
Focus on tasks AI can't easily replicate: quality judgment requiring tactile and visual inspection, troubleshooting complex equipment malfunctions, setup and calibration of custom production runs. These human-centric skills will become more valuable as routine tasks are automated.