In 2023 , generative AI demonstrated its direct value in generating digital content such as chat, images, and videos. In addition, as a secondary effect, it also served as an opportunity to reassess skepticism toward AI technology in general, and companies began to focus on the benefits rather than the risks of applying AI technology to their core business operations.
Even if generative AI generates a 3D- like design, it is difficult to design a mold and manufacture a real product without millimeter-level geometric data. This is where generative design has attracted attention, as AI can generate a variety of designs based on the design goals and constraints input by engineers .
Generative design began to be put into practical use around 2018 , about five years earlier than generative AI , but its adoption remained experimental, mainly among leading companies and major manufacturers. However, as people have grown less averse to AI , it is once again gaining attention, and momentum for its adoption in the manufacturing industry is growing.
Both generative AI and generative design have in common the ability to output multiple diverse designs, but their content is similar but different. Generative AI learns from past examples and generates similar designs with an emphasis on appearance. Generative design uses the growth algorithms of nature to generate organic designs that are both strong and lightweight with an emphasis on content.
If we compare it to humans , generative AI is a humanities major, while generative AI is a science major, and companies are looking for people with both. More companies may add "humanities AI " and "science AI " to their new graduate hiring quotas next year.
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