Where AI Fits in Manufacturing Engineering

What this episode covers

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.

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Frequently Asked Questions

How long is this episode of ASME TechCast?

This episode is 21 minutes long.

When was this ASME TechCast episode published?

This episode was published on March 27, 2026.

What is this episode about?

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...

Can I download this ASME TechCast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.