Key findings
Patternmakers, Metal and Plastic, play a crucial role in assembling castings and parts to metal or plastic foundry patterns, core boxes, or match plates.
Despite the rise of Generative artificial intelligence (GenAI), blue-collar workers like patternmakers are unlikely to be automated.
GenAI may impact but not transform their work, as physical tasks remain beyond its capabilities.
The future automation of skills like Information Ordering and Operations Monitoring could streamline certain aspects of the job, but the core tasks requiring critical thinking and quality control analysis will continue to rely on human expertise.
How could AI or automation replace or complement job activities?
AI and automation could be utilized in the job of creating metal and plastic patterns to automate activities such as digital data processing for computer modeling, operations monitoring for machine setup, and control precision for pattern assembly.
For example, AI could analyze blueprints and automatically generate computer models, saving time and increasing efficiency for Patternmakers.
Job description
Assemble castings and parts to metal or plastic foundry patterns, core boxes, or match plates.
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