I'm not an AI specialist, but to my limited understanding: AI today is mostly machine learning, which means letting an algorithm build classifications from data

I'm not an AI specialist, but to my limited understanding: AI today is mostly machine learning, which means letting an algorithm build classifications from data, and deducting (more like just matching) things from the data that was gained from the learning (basically statistically). Prolog is about writing rules/matches/classifications manually, and then deducting logically from these (not statistically, but precisely). Prolog and other logic languages aren't playing in the same area, and their approach will remain relevant in the future in the areas where they already fit (e.g. expert systems with rules written by humans, writing machine checked mathematical proofs). Now I should probably recommend you to play a bit with both approaches and do the same myself.