AI now solves problems with clear goals and conditions, along with sufficient data, faster and more accurately than humans. Sometimes, it produces better results with minimal human intervention. In that era, where AI can create most things, what should humans excel at?
While AI excels at solving given problems, determining which problems to solve is much more difficult. This is because not all information about the reality we live in is recorded as data. What people want, where they feel uncomfortable, and the emotions and cultural contexts in which they behave become clearly apparent only when the real world is observed.
Ultimately, as long as humans create things for humans, good design will continue to be necessary. What matters is not making things better than AI, but the ability to discover and select problems that are worth solving better. Even when using the same AI, the value created varies significantly depending on which problem is selected and how it is defined.
So, what problem-solving skills are needed in the AI era? In this article, we summarize the problem-solving skills humans must possess to create greater value in an era of building products alongside AI.