Generative design, coupled with additive manufacturing (3D printing) is creating new designs for mundane parts and mechanisms. Overcoming the limitations of conventional manufacturing, new shapes can be formed, optimized in weight and amount of material, to fit the same functions.
This approach is still in its infancy but we can expect to see this new line of design expand rapidly in particular in some industries where weight is paramount such as the aerospace industry. Further there are even some developments around Deep Learning Generative Design where the design is created using deep learning neural networks.
The trick however is to have identified the functions and constraints properly, because these designs will accept much less excursions and unexpected treatment. Optimization always brings less resilience. A challenge in the near future will be a proper treatment of risk and resilience in this design strategy.