AI Update in Additive Manufacturing: Design, Process, Workforce and Industry impact

Fabian Alefeld hosts Duann Scott on the Editor Snack podcast to discuss how AI is evolving in additive manufacturing, moving from “AI-washing” and impractical text-to-mesh hype toward more capable tools using language models, visual language models, surrogate models, and emerging foundational models. Scott describes testing tools by trying to make them fail and highlights a recent success with the Raven plugin for Rhino/Grasshopper, which generated a parametric VESA mount and tripod adapter from minimal prompts, then iteratively added fillets and an isogrid structure and produced a printable part within hours. They discuss constraints like missing engineering training data and design intent, the promise of AI for toolpath and process optimization (including transfer of parameter knowledge across materials), and the role of the 3MF format in capturing toolpath and metadata to enable richer, searchable datasets. Scott previews CDFAM events in Barcelona, DC, and Tokyo and emphasizes that progress requires significant data work and investment. 00:00 Welcome and Guest Intro 02:18 AI Hype to Real Progress 04:13 Testing AI Design Tools 04:46 Data Gaps and Design Intent 07:15 Two Paths for AI Design 10:15 Raven Grasshopper Breakthrough 13:17 Pushing Parametric Complexity 20:28 Limits of Black Box Optimization 22:40 Toolpath and Material Transfer 26:18 Alloy Discovery and Qualification 28:05 3MF Role Teaser 28:18 3MF Format Overview 29:17 Smarter Toolpath Extensions 32:31 Metadata for AI Training 35:43 Data Ownership and Synthetic Data 39:59 AI Impact on Additive 44:10 Workforce and Reshoring 47:22 What Is CDFAM 49:49 CDFAM Audience and Format 51:43 DC Event and Government 54:05 Wrap Up and Thanks

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AI Update in Additive Manufacturing: Design, Process, Workforce and Industry impact is an episode from Additive Snack by Fabian Alefeld.

This episode is 56:30 long.

This episode was published on Mar 4, 2026.

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