By <a href="https://multilingual.com/author/Christine-Clay/">Christine Clay</a>
The author discusses the “pilot-to-production gap” in adopting AI to support multilingual content. Scaling AI requires integrating it into existing translation infrastructure, maintaining human oversight, and consistently applying terminology and translation memory to ensure quality and trust.

By Christine Clay The author discusses the “pilot-to-production gap” in adopting AI to support multilingual content. Scaling AI requires integrating it into existing translation infrastructure, maintaining human oversight, and consistently applying terminology and translation memory to ensure quality and trust.

By&nbsp;<a href="https://multilingual.com/author/Christine-Clay/" rel="noopener noreferrer">Christine Clay</a>
The author discusses the “pilot-to-production gap” in adopting AI to support multilingual content. Scaling AI requires integrating it into existing translation infrastructure, maintaining human oversight, and consistently applying terminology and translation memory to ensure quality and trust.

Why AI Adoption Stalls in Multilingual Content Workflows

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Why AI Adoption Stalls in Multilingual Content Workflows

Why AI Adoption Stalls in Multilingual Content Workflows

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