Real-time translation is the automated process of converting spoken or written participant responses into a target language during or immediately after an AI-moderated research session, eliminating the lag that traditionally separates multilingual fieldwork from analysis. In the context of AI-moderated research, real-time translation enables global studies to run in parallel across dozens of markets, with transcripts and insights surfaced in a unified language for the research team. This capability is critical for enterprise teams running multi-market qualitative programs, where waiting for human translators can add days or weeks to an already compressed timeline. When translation is embedded directly into the research workflow, teams can compare findings across geographies, identify regional differences in consumer behavior, and deliver stakeholder-ready outputs without treating language as a bottleneck.