The physical-world hurdles for AI hardware engineering

a16z argues that AI may become highly capable at digital hardware design before it can handle the full process of building and refining physical products. Manufacturing depends on parts, vendors and practical know-how, while real-world measurements can be sparse, expensive and slow to collect. The essay suggests better simulation and data from physical experiments could help, but says learning what customers want remains especially hard.