The next wave of generational companies will come from manufacturing AI. There is so much to build, from the materials going into a factory to the finished products coming out. Let's map out the 5 layers of manufacturing, with incumbents and startups: • Materials and standard items: the metal, resins and fasteners that production starts with. • Parts: turning those inputs into a housing, bracket or cover made to a design. • Components: making the motors, sensors, chips and batteries that give a product its capabilities. • Subassemblies: bringing parts and components together into something like a battery pack or wire harness. • Finished products: delivering the robot, vehicle or appliance to the customer. The opportunity looks different at each layer. Where could AI help a team make a better part, get production running sooner or learn faster from a failed run? Which layer are you building in? The map comes from the latest Core Matter (@corematter_) piece, “Can America Leapfrog Shenzhen?” @standardbots @Figure_robot @Senra_Systems @westmagco @atlasmotion @sendcutsend @MachinaLabs_ @noxmetals @agilityrobotics @1x_tech @HadrianInc @Tesla