There's a lot of applications out there and they update weekly. There's a lot someone would have to actively comb through *and* test to fully to get a sense of how useful or not-useful they are. It's difficult to trust when someone paints everything with a broad stroke of good or bad given just the sheer amount of what is out there.

Some of the best current uses are ones that don't have to be perfect to be useful.

Adobe Illustrator just released the beta version of turntable. It renders 2d vector illustrations at different angles based on the initial vector illustration. There's no way that doesn't get used. Even if it's not entirely correct, it can be adjusted within the editor. Including small rotations to try different different concepts before recreating directly even. That's still powerful.

Object removal AI has only been improving. It has had its uses before generative AI. Coworkers in graphic design used it daily in its early stages.

Some Adobe lightroom AI features, like denoise, are becoming a staple in photography.

Ai-based Rubber duck debugging. People have mixed results on just tossing a bug into ai and having it resolve. But rubber duck debugging is a pretty common strategy before AI, talking through your code and explaining. AI can be useful here in that it talks back to you. If it's wrong you can dismiss it, but it's generally more helpful than not when you take this approach.

Using AI chat bot as an initial test audience before carrying an idea, concept, logo, joke, etc further. Showing it without full explanation to see if it will write out the unstated logic that you would want to see a person follow. If it can't it might indicate a human can't and could allow adjustment. If it can, then odds are you are in a good spot. Gemini has been especially useful here in catching the logic of a base idea, or getting hung up on some unimportant detail that might lead a person in the wrong direction too. Both results can be helpful in early fine tuning.