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Faez Ahmed Associate Professor, MIT Department of Mechanical Engineering Generative AI is reshaping many industries by offering innovative approaches to creating content. While LLM and VLM tools like ChatGPT have proven effective in multimedia, their application in engineering faces unique challenges, such as maintaining precision under varying requirements. In this talk, Faez examines how generative AI is transforming engineering design. Through case studies in kinematic design and topology optimization, he demonstrates how AI moves beyond pattern replication to address real-world performance requirements, constraints, and feasibility. He showcases AI-driven design co-pilots and the integration of multimodal generative models with engineering optimization tools, illustrating how this fusion enhances creativity, efficiency, and innovation. Ahmed concludes by highlighting generative AI’s broader impact in democratizing design and accelerating progress across the engineering sector.