Generative AI: Friend Or Foe For The Translation Industry?

– Generative AI (GenAI) is rapidly being adopted within enterprises and is expected to bring about significant transformations in various industries.

– There have been predictions of job displacement due to GenAI, but understanding its specific impact on different industries and functions is complex and nuanced.

The translation industry, a vital player in bridging linguistic and cultural barriers, is likely to be affected by GenAI

– The industry spends nearly $60 billion annually on translation, but only a fraction of content undergoes translation due to cost and convenience factors.

– Modern-day translation functions more like tech-enabled information processing, with automation tools like neural machine translation (NMT) being widely used.

– Potential disruptions by GenAI within translation workflows include integration of large language models (LLMs) and NMT algorithms for efficiency gains. LLMs are competitive across various languages but may face challenges with low-resource languages.

– Potential disruptions by GenAI within translation workflows include integration of large language models (LLMs) and NMT algorithms for efficiency gains. LLMs are competitive across various languages but may face challenges with low-resource languages.

– Content authoring platforms like Microsoft Office, Adobe, and others have embedded LLM-enabled co-pilots for generating content. This could lead to an increase in content volume and present challenges in workflows and quality control.

– Translation industry professionals will need to embrace automation more aggressively and adapt workflows to accommodate LLM-generated content.

– Linguists and translators may shift from raw translation to validating and editing content generated by AI algorithms.

– Content creators and authors will rely more on translation professionals to handle increased content volume and ensure quality.

– The future of GenAI's impact on the translation industry is dynamic and will require continuous innovation to adapt to evolving use cases and client needs.