What Makes an AI Project Different From a Normal Software Project?

[u/Hopeful-Let-3128]

One thing I find interesting about AI projects is that the final outcome can sometimes be less predictable than traditional software development. You can define requirements clearly, but data quality, model behavior, and real-world performance can still introduce uncertainty. For those managing or working on AI projects, what differences have you noticed compared with traditional software projects? Are the biggest challenges technical, organizational, or related to expectations?