Generative CAD uses AI and optimization algorithms to create candidate designs based on engineering requirements, constraints, or goals. Rather than manually modeling every feature, engineers define inputs such as loads, materials, manufacturing processes, or performance targets, and the software generates possible solutions. Today, generative CAD is most effective in bounded applications such as topology optimization, concept exploration, and lightweight structure design. Engineers still need to validate whether generated designs are manufacturable, maintainable, and suitable for production.