The chapter reveals salient issues connected with using AI as a translation tool. AI is not only a further technologically driven advancement in translation practices: it embodies a higher standard of professionalism, achieved by extensive training on a vast array of examples and as a result is aimed at overcoming those drawbacks and limitations that machine translation baulked at. The pivotal difference from the previous stage of machine translation lies in AI omnipresence and accessibility. It has become a comprehensive tool; thus, the question about challenges, risks, and prospects of its appliance arises. The major challenges AI faces in translation still cover such dimensions as context, pragmatics, and cultural underpinnings. The risks lead to rethinking the criteria of translation making acceptability, speed, and low-cost prevailing to equivalence and adequacy. Besides, mostly trained on English models, AI interferes into the linguistic and cultural spheres as it imposes buzz-words, threatens cultural diversity, and increases the number of borrowings into other languages. Prospects are preconditioned by what still stays unsolved and point to the question whether pragmatics, cultural concepts, ambiguity, and contextual nuances could get algorithmized, whereas linguistic and cultural influence on other linguocultural communities would be subdued.