AINeutralarXiv โ CS AI ยท 14h ago6/10
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Agentic AI in Engineering and Manufacturing: Industry Perspectives on Utility, Adoption, Challenges, and Opportunities
A qualitative study of 30+ industry interviews reveals that agentic AI adoption in engineering and manufacturing is progressing cautiously, with near-term value concentrated in structured, repetitive tasks and data synthesis. Adoption barriers stem primarily from fragmented data infrastructures, legacy system integration challenges, and organizational gaps rather than model capability limitations, requiring robust verification frameworks and human-in-the-loop governance before higher-order automation can scale.