Blog Articles

Zoom quietly changed the conversation around multilingual meetings this year. It launched Voice Translator in beta, its first attempt at converting a speaker's voice into another language automatically, without a human interpreter in the loop. For organisations that have spent years relying on dedicated interpretation platforms such as Interprefy Agent to run global meetings, the obvious question is whether Zoom's own feature now replaces what they already have in place. 

Multilingual events have long carried a predictable budget line: interpreters. For a full-day conference in three languages, traditional setups require six professionals rotating through physical booths, plus travel, equipment, and coordination costs that can reach $13,000 or more. For many meetings, those costs put interpreting services out of reach altogether. Now, AI speech translation is changing the calculation. Enterprise teams can extend multilingual access to more sessions, more languages, and more attendees without the per-event spend that once made interpretation a rationed resource.

Every multilingual event generates far more than a memory of the day. Recordings, captions and transcripts pile up in the background while the event itself takes centre stage, and once the closing remarks are done, that content often just sits there. Someone eventually asks for the French transcript from the breakout session, or the English captions from the keynote, and the search begins. 

Microsoft has spent 2026 adding real interpretation muscle to Teams: automatic language detection, a consecutive mode for negotiations, support for dedicated room hardware. For an organisation working mainly in English and Spanish on a Copilot licence, that might cover most meetings on its own. For most global organisations it does not, and the gap between what Teams now offers natively and what a multilingual workforce actually needs is exactly where an interpretation platform earns its place. 

Walk into a large conference hall or auditorium today and you will often see a screen at the front of the room carrying more than slides. Underneath the speaker's name, or along the bottom third of the display, a live transcript of what is being said scrolls in real time. This is on-screen captioning, and it has moved from a niche accessibility feature to a standard expectation at well-run onsite events. 

Every AI speech translation session carries a conversation that someone considered worth having in real time, whether it's a board discussion, a diplomatic briefing, or a clinical consultation. That conversation gets captured as audio, processed by machine translation models, and often stored or logged somewhere along the way. If the underlying infrastructure isn't secured properly, the convenience of instant multilingual communication comes with a data protection risk that's easy to overlook until it's tested.

Most conversations about AI language performance still centre on English. A model scores well on a standard benchmark, gets praised as state-of-the-art, and is rolled out for global use. But a growing body of evidence, most recently the European Commission's new EU MMLU dataset, shows that strong English performance says very little about how a model handles French, Hungarian or Maltese. For anyone relying on AI live translation at international events, that gap is not an academic footnote. It is the difference between a delegate understanding a keynote and missing it entirely. 

Picture a training video recorded once in English that a global workforce needs in ten languages by Friday. A decade ago, that request meant hiring voice actors, booking studio time, and waiting weeks for each language. Today, it can mean uploading a file and downloading a dubbed version in hours. This shift is powered by AI dubbing.

Picture a product launch with attendees joining from twelve countries, each expecting to follow along in their own language without a hitch. A few years ago, delivering that experience meant booking interpreters, installing booths, and hoping the technology held up on the day. Now it often means choosing the right app.