Where AI Fits in Manufacturing Engineering

In this episode of ASME TechCast, we're joined by Bradley Hope, Steven Gerdeman, and Rahul Rajadhyaksha to explore how AI is reshaping design for manufacturing and where it meets its limits. Learn why rule-based systems remain essential, what the "cold start problem" reveals about AI's limitations, and how a hybrid approach will likely define the next generation of workflows.This podcast is sponsored by HCL Software DFMPro, a CAD-integrated design for manufacturing software that helps designers deliver high quality designs at lower cost. To learn more about the software or contact the team with your questions, visit dfmpro.com .

You can listen to Where AI Fits in Manufacturing Engineering online on Radio and Podcast. Open the player on this page to stream the available audio.

Where AI Fits in Manufacturing Engineering is an episode from ASME TechCast by Mechanical Engineering magazine.

This episode is 00:21:57 long.

This episode was published on Mar 27, 2026.

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