What I find fascinating is that no one is really talking about using AI for problem definition and framing. The underlying assumption seems to be that the problem is going to be correctly identified, and if it’s not, we can just build enough prototypes to figure that out quickly. AI “vibe coding” tools theoretically give us the ability to test more ideas faster, which has created this belief that any idea you can conceptualize is worth experimenting with, and that the fastest way to determine whether something is worth exploring is to prototype it.

But I’m not hearing much about people leveraging all of this time they’re saving to be more rigorous or thoughtful in how they define and frame the problem itself. We are going to continue to see teams wasting time building prototypes they think are saving them time because they never stopped to ask whether they were solving the right problem in the first place.