Agentic AI in engineering and manufacturing is currently most useful for structured repetitive work and data tasks, but adoption is limited by fragmented data, regulatory constraints, legacy systems, and needs for verification and human oversight.
IEEE Future Directions
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Agentic AI in Engineering and Manufacturing: Industry Perspectives on Utility, Adoption, Challenges, and Opportunities
Agentic AI in engineering and manufacturing is currently most useful for structured repetitive work and data tasks, but adoption is limited by fragmented data, regulatory constraints, legacy systems, and needs for verification and human oversight.