Transformation of technical translation strategies in the era of generative AI dominance

Abstract

This paper examines how generative artificial intelligence is reshaping the strategic foundations of technical translation in contemporary professional contexts. It argues that the translator"s role is shifting primary text production to the supervision, verification, and refinement of machine-generated output. Particular attention is given to terminological control, semantic accuracy, post-editing, and the ethical risks associated with AI-assisted translation workflows. The discussion shows that fluency produced by generative systems does not guarantee reliability, especially in specialised technical communication precision remains essential. It is concluded that the future of technical translation depends on the effective integration of technological efficiency with human expertise, critical judgement, and domain-specific knowledge.