Translation Unlocks Market for Incumbents

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Hassaan Raza, CEO of Tavus, on building the AI avatar developer platform

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Especially it helps incumbents expand their market.
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Translation turns AI avatars from a new content format into a distribution unlock for companies that already own large video libraries. The biggest immediate winners are incumbents with thousands of training, support, education, and media videos already made, because dubbing lets them resell the same content into new geographies without refilming, new presenters, or country by country production teams.

  • This is why translation skews toward existing platforms and brands, not just new creators. A company like Wistia, Canva, or a publisher with a deep archive can add avatar, dubbing, and lip sync features to increase output from the same customer base and open new language markets with almost no added recording work.
  • In practice, the strongest early workflows are corporate training, onboarding, support, and healthcare instructions. These are script based videos that need accuracy and regular updates, so AI translation changes the job from producing each language version from scratch to reviewing and polishing an already generated draft.
  • The market signal is already clear in the leaders. HeyGen built one click translation into its product, Synthesia users create content in multiple languages and translation drives expansion revenue, and dubbing specialists like ElevenLabs have become key suppliers to broader video platforms rather than standalone edge features.

Over time, translation will become a standard layer in every serious video workflow, much like captions became standard earlier. That pushes value away from the raw dubbing feature itself and toward the platforms that already own customer distribution, content libraries, review workflows, and the full video stack around creation, hosting, analytics, and publishing.