AI Translates: Human Jobs at Risk?

The translation industry in Europe is facing significant disruption due to advancements in AI, particularly large language models (LLMs). Initially, AI translation attempts were noticeably flawed, but recent improvements, such as those seen with DeepL, suggest a rapid learning curve that alarms professional translators. Many fear AI poses a threat to their livelihoods, with surveys indicating a strong belief that AI could replace all or part of their work.

Consequently, the nature of translation work has shifted for many. German-to-English translator Laura Radosh reports a drop in job offers, with many clients now requesting 'post-editing' of machine-translated texts. This task, often less creatively fulfilling and poorly compensated, can take as much time as translating from scratch. Even regular technical translation rates have declined, forcing some translators into alternative employment.

Despite AI's progress, human translators continue to offer unique value. AI struggles with context, leading to errors like mistranslating 'capital' as 'capital city' instead of the economic term. Furthermore, human translators excel at capturing the creative nuances, dialogue, and emotional depth that AI-generated text often lacks, providing a connection to human experience that algorithms cannot replicate.