What to Watch For

The field of translation and interpretation continues to be the “white whale” of many AI development platforms. As we have discussed in previous articles on the subject, most AI programs have faced unique challenges when it comes to language services due to how these models are trained via easily accessible documentation on the internet. While the plethora of free text allowed for these LLMs to rapidly advance, the fact that the majority of these sources (around 65%) were written in English meant that there was comparatively little for these programs to train on when it came to answering questions in other languages.

Still, the issue of sourcing has not deterred many AI companies, and some products are making massive strides towards perfecting instantaneous AI translation and interpretation. Here are a few projects we at 7C Lingo are keeping our eyes on, and what their development spells for the language service industry.

Brain-Computer Interfaces

One of the most fascinating developments comes from Australian company Synchron, which has been making headlines with their brain-computer interface technology. Backed by Bill Gates and Jeff Bezos, Synchron looks set to beat Elon Musk’s Neuralink to market with a brain-computer interface that could revolutionize communication entirely.

Synchron’s technology works similarly to how cochlear implants work, though on a much grander scale. By implanting a device in blood vessels on the motor cortex, the implant converts signals to motor outputs and allows people to perform tasks via thought. While currently focused on helping paralyzed patients control digital devices, the implications for translation are enormous.

While this technology is still in extremely early development, having just gone through its first clinical trial, the implications for these developments are massive. Most development has been pointed at the disabled, assisting them in controlling devices within their home, but the company is confident that given time, their tech will revolutionize dozens of industries, including language services. For now, this remains a distant goal that all language service experts should keep their eyes on for the future.

Video Conferencing Gets Smarter

While brain-computer interfaces represent the future, more immediate developments are already changing professional communication. Both Zoom and Google Meet have rolled out automatic interpretation features that break down language barriers in real-time business meetings.

Zoom’s AI-powered interpretation allows participants to hear discussions in their preferred language, while Google Meet’s automatic transcription converts spoken words into text and translates across dozens of languages simultaneously. These tools work well for standard business conversations where vocabulary is predictable and context is clear.

Users report that these systems excel at conveying general meaning, making multilingual meetings easier to follow. However, the technology struggles with technical jargon, industry-specific terminology, and cultural idioms. Audio quality also plays a crucial role, as background noise, poor microphones, or overlapping speakers significantly reduce translation accuracy. And of course, neither of these programs are comprehensive in their language lists, with Zoom providing 25 languages and Google Meet over 70. While these programs can serve as a quick fix for last minute meetings, their consistent issues mean that anyone preparing international meetings well in advance would be better served hiring a human interpreter.

The Translation Market Paradox

What’s particularly interesting about these AI developments is how they’re affecting the broader translation market. Rather than replacing human translators and interpreters, the popularity of AI translation tools seems to be on the rise alongside rising interest in language services on the whole, with NIMDZI predicting the entire language services industry to grow by about 5% by the end of 2025.

This trend makes sense when you consider the broader business landscape. As AI tools introduce companies to multilingual communication possibilities, they’re discovering how complex and nuanced effective translation really is. What starts as simple AI translation often reveals the need for cultural localization, legal precision, or technical expertise that only human professionals can provide.

The Human Touch Remains Critical

While technological advances continue to shake up the language services industry, human interpreters and translators remain a vital and irreplaceable part of it. Even sophisticated AI systems struggle with context, cultural nuance, and subtle implications that experienced translators navigate effortlessly.

Consider the challenges current AI faces: interpreting sarcasm, understanding cultural references, adapting tone for different audiences, or handling ethical considerations in sensitive translation work. These elements require cultural competency and professional judgment that AI systems cannot replicate.

The future of translation appears to be heading toward collaboration rather than replacement. AI tools are becoming valuable assistants that help human translators work more efficiently and handle routine tasks, but struggle in nuanced situations in which humans excel.

For businesses seeking translation and interpretation services, the message remains clear: while AI tools can serve as valuable supplements to human expertise, they cannot yet replace the cultural understanding, professional judgment, and specialized knowledge that trained translators and interpreters provide. At 7C Lingo we plan to continue to recommend human translators and interpreters as the main way companies handle communicating with non-English audiences and advocate for all businesses looking to expand to new audiences to speak with a language professional first and foremost, rather than handing off the task to AI.