AI careers are attractive right now, which makes it easy to chase the field without checking whether the actual day-to-day work fits you. A few honest questions help.
Do you enjoy debugging things that mostly work?
AI systems are rarely fully broken or fully working — they're usually "working, but wrong in a specific, hard-to-diagnose way." If that kind of ambiguous debugging frustrates rather than interests you, reconsider the technical path.
Are you comfortable with things changing under you?
Tools, best practices, and even entire approaches shift every few months in this field. Comfort with rebuilding your knowledge repeatedly is closer to a job requirement than a nice-to-have.
Do you care about the underlying "why," or just the outcome?
Some AI-adjacent roles need genuine curiosity about how these systems work. Others are fine with a more practical, outcome-focused relationship with the technology.
Try before you commit
A weekend project or a short course reveals more about fit than any amount of reading about the field in the abstract. If you haven't built anything yet, that's the actual next step.