I agree with 5%. That said, I've found rubber duck debugging to be an exceptionally effective use case for ChatGPT. Often it will surprise me by pinpointing the solution outright, but I'll always be making progress by clarifying my own thinking.
Fascinating! Can I ask how you use ChatGPT for debugging? are the bugs you've used it with more high level, "this is what's happening" kind of things? Or could you give an example?
It's similar to how you would describe a problem to a coworker on Slack. I give it some context, then I state the problem or paste in the error message/stacktrace. I might also list steps that I've taken already. Then I follow ChatGPT's suggestions to troubleshoot. Sometimes I need to supplement with my own ideas, but usually that's enough to iteratively bisect the issue.