Blog Articles

For enterprises, organisations and institutions, the real challenge of multilingual communication is not providing translation, but delivering language access in a way that is dependable, scalable and aligned with enterprise‑level expectations.

As organisations align priorities for 2026, one assumption is increasingly taken for granted: that AI translation has largely solved multilingual communication. In enterprise environments, this assumption rarely holds.

Nowadays, as globalisation and the internet continue to expand, it is increasingly uncommon to host an event (whether a meeting, conference, corporate town hall, hybrid webinar, or summit) where everyone involved speaks the same language. On the contrary, most meetings, whether high- or low-stakes, bring together people from diverse linguistic and cultural backgrounds.

Yet many event organisers still default to a single language — often English — under the assumption that "most participants will understand it." This assumption is not only exclusionary for participants who may feel inhibited or lost in the conversation; it also carries hidden costs for organisations and the outcomes of the event. As language partners such as Interprefy have seen time and again, opting out of full multilingual support is, in reality, a business risk.

AI interpretation has advanced rapidly in the last few years, reshaping how organisations think about accessibility and multilingual engagement. From instant captions to automated speech translation, the technology now promises speed, reach, and efficiency at a scale unimaginable a decade ago.

But the question many event organisers are asking as 2026 approaches is not whether AI is possible. It’s whether AI is trustworthy.

Artificial Intelligence is no longer a futuristic dream. It’s the technology behind the captions you see on streaming platforms, the chatbots that answer your questions instantly, and the voice assistants that help you set reminders or translate a phrase when you’re abroad. In recent years, AI has begun to play a central role in how people connect, work, learn, and share information.

With Apple’s launch of the AirPods Pro 3 featuring Live Translation and Google Pixel’s Voice/Live Translate, real-time translation has never been more accessible. These consumer devices are powerful for everyday interactions, but how do they compare to Interprefy AI — a professional-grade solution designed for business-critical multilingual meetings and events?

You’re preparing a regional update or an international team meeting in Google Meet, but not everyone speaks the same language. Sound familiar?

Google Meet introduced AI speech translation in May 2025 during its beta rollout at Google I/O 2025, complementing its existing AI-powered captions. This addition represents both a significant step forward and a direct response to the growing demand for real-time translation in everyday video calls.

But this new feature is still in the initial phase and only covers a pair of languages (English <> Spanish). Therefore, if you’re planning a high-stakes meeting, a multilingual town hall, or a global product launch, this built-in tool alone might not cut it. That’s where professional interpretation services and external language solutions like Interprefy come in — giving you the flexibility, support, and quality you need to connect across languages.

There’s a lot of talk about AI in interpretation right now. Some of it is exciting. Some of it creates confusion.

Speech technology has come a long way. We’re seeing real-time captions, multilingual voiceovers, and live translation become more common. But somewhere along the way, people started to assume that AI can handle everything — even interpretation.

Planning an event that runs smoothly is already a big job. Throw in multiple languages, hybrid attendance, and tight timelines, and it gets a lot trickier.

We get it. You want everyone at your event — whether they’re in the room or joining online — to feel included and able to follow along. But traditional interpretation setups aren’t designed for today’s formats. Many times they’re costly, complicated, and don’t always fit with your tools or timeline.