Accelerating Innovation through AI-Assisted Design Tools: Productivity and Capability Implications

Abstract

The accelerating advancement of artificial intelligence (AI) has transformed not only core computational domains but also the landscape of innovation, design, and research and development (R&D). AI-assisted design tools, encompassing a spectrum from generative models for creative tasks to decision-support systems in engineering and science, have emerged as pivotal enablers in contemporary creative workflows. Their promise is twofold: to enhance productivity through automation and augmentation, and to extend the very capabilities of human designers and researchers, enabling innovation that would otherwise be infeasible.