How AI is Changing the Human-Machine Interface in Engineering | Moritz Valentino Leone

In this episode, we sit down with Moritz, Programme Manager at DeltaVision and former Director of Engineering at Hyperganic, to explore how AI is reshaping engineering workflows.Moritz shares his perspective on AI's role in breaking down knowledge silos between simulation, design, and manufacturing teams. We discuss the critical balance between AI-assisted speed and the transparency engineers need to confidently sign off on designs, particularly in high-stakes industries like aerospace.We also dive into Moritz's market research on AI engineering tools, examining the emerging clusters from generative design to physics simulation surrogates, and what it actually takes to get large engineering organisations to adopt new software.In this episode, we cover:Why AI's greatest impact in engineering is democratising knowledge across the value chainThe four key clusters emerging in the AI engineering software landscapeWhat makes engineers actually adopt new tools, and why data consistency remains the biggest pain pointLinks from the show:DeltaVision Hiring:https://deltavision.space/job-openings/Get in touch:Moritz Valentino Leonehttps://www.linkedin.com/in/moritz-valentino-leone-b877b41a4/Martin Bielickihttps://www.linkedin.com/in/martin-bielicki/Chapters ➡️00:00 Introduction to AI in Engineering03:45 AI is best at breaking Silos07:27 Will AI be the "Final" solution in Engineering?11:35 The Future of AI in Engineering Design14:40 Moritz describes the motivation behind starting his blog.17:20 Emerging Clusters in Agentic Engineering: Simulation 20:30 The Text-to-CAD Cluster22:35 Adoption Challenges in Large Corporations27:24 Does having a focussed use case make it easier to adopt software?29:58 Choose a Workflow to Automate?31:52 Data consistency in Engineering teams.