π‘ Tool and Die Makers have a composite risk score of 66/100 (Frey-Osborne probability: 84%, GenAI exposure: 42/100). With 55,130 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 55,130 workers and a median wage of $63K,tool and die makers represent a significant portion of the US workforce. Their GenAI exposure index is 42%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
66/100
Employment
55,130
Median Wage
$63K
GenAI Exposure
42%
β οΈ Top Risk Factors
Predictive maintenance reducing manual inspection roles
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
Quality judgment requiring tactile and visual inspection
Setup and calibration of custom production runs
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
57% skills overlap Β· $106K 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 tool and die makers?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for tool and die makers?
Tool and Die Makers have a composite AI automation risk score of 66 out of 100, classified as "High Risk".
How many tool and die makers are there in the US?
There are approximately 55,130 tool and die makers employed in the United States.
What do tool and die makers earn?
The median annual wage for tool and die makers is $63K.
What skills should tool and die makers develop?
Focus on tasks AI can't easily replicate: troubleshooting complex equipment malfunctions, quality judgment requiring tactile and visual inspection, setup and calibration of custom production runs. These human-centric skills will become more valuable as routine tasks are automated.