Is a Translator Safe From AI?
Depends heavily on which kind of translation you do. High-volume document work between common language pairs — marketing copy, manuals, UI strings — is already handled by neural MT and LLMs at near-human quality. Certified, legal, medical, and live interpreting work is not, because liability and real-time judgment still require an accountable human.
At Risk · Verdict: 9-15 months runway
AI Exposure Score
Translation is splitting the way QA and copywriting already have: production work — converting text between common language pairs at volume — is largely commoditized by neural MT and LLM post-editing. What's holding is the segment where a human has to be legally or physically accountable for the result: certified legal and medical translation, live interpreting, and literary work where voice matters as much as accuracy. If your work is mostly document throughput, the realistic move is toward certification, live interpreting, or overseeing the AI pipeline rather than competing with it on drafts.
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