The problem with AI bug reports is that it consumes resources. Even if it's asking for more details, it's still someone having to read the slop, understand it, and then asking questions which consume a lot of time.
And most AI slop bug reports basically have that question shoved back into the AI to generate a response, so it can go back and forth multiple times without much improvement.
All this wastes developer time and resources who have to go through the bugs reported manually but the person using AI to report them spends hardly any time at all.
It's why YouTube has the problem as well - AI slop videos cost nothing to generate so you can make hundreds of videos a day, and it doesn't matter if only a few get more than a handful of visits because the sheer volume mean you can get a small reliable income.
Perhaps keep the bug bounty but provide the payout on how many back and froth rounds of questions it takes to understand the issue. If the bug report was filed perfectly, you get 100%. If it takes 1-2 questions to figure it out (e.g., missed a detail), still 100%. But after 3 questions if you haven't provided a proof of concept or enough details to figure out the issue, each additional question costs 10% of the prize pot. So after 7 questions, it's down 50%. After 12 questions, it's empty.
If someone else submits the same bug, but while you're still going back and forth, they provide a full PoC and details the problem fully they could steal the pot. So if you discover a bug but you used AI and remain generic and unhelpful someone slse could spot the issue you posted, research it and provide a far more useful bug report and snipe the pot away from you. So if someone else can provide a working exploit faster than you can, you lose the money. So you probably want to hold back until you have generated a bug report that's perfect from the get-go so someone else doesn't take your money by reading your bug, and making a more useful report.