Publishers Adopt Machine Translation For Paperbacks

Publishers worldwide have increasingly used machine translation tools in recent years to produce foreign editions of popular paperbacks, leveraging neural-network advances from platforms like DeepL and Microsoft Translator. While the shift speeds production, cuts costs, and could automate up to 70% of routine translation tasks by 2030, translators report lost nuance, reduced rates, and more undervalued post-editing work, prompting calls for regulations and hybrid human–AI workflows.