Design debt doesn't show up on a sprint board. That's exactly why it spreads.

We have ceremonies for technical debt. Backlog grooming, refactoring sprints, architectural reviews. Design debt gets a sticky note and a "we'll fix it later."

In AI products, this compounds fast. Showing a probabilistic output as a confident answer trains users to trust the model blindly. Fragmented ownership means nobody catches it. By the time it matters, the cost of fixing it is too high.

Design decisions in AI products carry higher stakes because they shape what users believe about the system. A poorly framed confidence indicator does not just confuse one user. It shapes a mental model at scale.

Pick one AI feature in your product. Ask: does the design communicate uncertainty, or does it hide it? If you cannot answer that in 30 seconds, you have design debt you did not know existed.