Crowdin’s 2026 AI Translation Enterprise Survey reveals a significant shift in the localization industry: enterprises are moving away from seeking the best raw translation model to focusing on orchestration, security, and governance. With 95% of surveyed professionals in the US and Canada using AI translation, nearly half (47.4%) have adopted multi-provider setups, leveraging different models for specific tasks based on language pair or content type. This transition underscores the importance of robust Translation Management Systems (TMS) that can effectively manage these diverse models.

Security has become a paramount concern, with 88.8% of enterprises demanding Bring Your Own Key (BYOK) solutions to maintain data privacy. Additionally, 91% of organizations are developing formal AI governance frameworks, indicating a clear shift towards responsible AI usage. The survey also highlights that AI is not replacing traditional quality processes; rather, it is augmenting them, as enterprises continue to rely on glossaries, human proofreading, and translation memory.

The key takeaway for localization professionals is that the future lies in platform-first strategies that prioritize governance and orchestration over individual AI models, ensuring both efficiency and security in translation workflows.

Source: slator.com