AI Interpreting Boostlingo

The Last Major Shift Was Remote Interpreting. AI Interpreting Will Be Bigger.

Ten years ago many language service integrators (LSIs) resisted remote interpreting. Some believed it would dilute quality. Others believed their customers would never adopt it. Yet the economic drivers were too strong. Remote interpreting made it possible to serve more clients in less time. It delivered more languages with greater responsiveness. By the time the pandemic hit, the shift was irreversible.

We are seeing the same pattern again, only faster. Earlier in November, I hosted a language access policy webinar with more than one hundred poll participants across the interpreting ecosystem. The poll results were unmistakable. 41% of LSIs said they were already evaluating AI interpreting, and another 30% told us they were actively using it. These were not early experiments. They were signs that the next major transformation in interpreting has already begun.

Every LSI leader now has a decision in front of them. Resist or lead. In 2026 this choice will determine who stays relevant.

AI Is Expanding Access and Increasing Efficiency.

Much like the rise of CAT tools in translation, AI is becoming a force multiplier for interpreters. Translators today produce nearly three times as many words per day as they did fifteen years ago. Not because the work became less important, but because the tools became more powerful.

The same shift is beginning in interpreting. AI is already improving how quickly we identify languages, connect to the right linguist and support them with context. Features like language detection can turn a confusing triage moment in an emergency room into an efficient interaction that gets a patient to the right interpreter faster. Meeting summaries and transcripts reduce administrative burden for providers and improve documentation. Captioning adds value for a much wider audience, including millions of people who are hard of hearing but do not use sign language.

All of this improves the experience for the human interpreter. It does not replace them. In regulated environments like healthcare and the courts, the Human interpreter will remain front and center for a long time. AI will simply make them faster, more accurate and more integrated into the systems their clients use every day.

AI Will Transform Operational Models for LSIs.

This may be the most important insight for 2026. AI will not only change the delivery of interpreting. It will change how LSIs operate.

The next competitive frontier is automation. In 2016 many LSIs still ran their interpreting businesses on spreadsheets. Today that would be unthinkable. In the coming two years it will be equally unthinkable to run an interpreting operation without AI assisted workflows.

Imagine a system that analyzes every interpreter’s skills, history, client feedback, distance to on site jobs and availability. Imagine it making resource selections automatically and improving gross margins by several percentage points each month. This is not theoretical. The foundations for these capabilities already exist.

LSIs that adopt AI powered interpretation management will be able to do significantly more with smaller teams. They will respond faster, staff more effectively and support more clients without adding headcount. In a market where consolidation is increasing and margins are tightening, this is a decisive advantage.

The LSIs that delay adoption out of fear or uncertainty will find themselves in the same position as the agencies that refused to sell remote interpreting in 2017. They will lose deals. They will lose clients. They will watch competitors innovate past them.

LSIs Should Lead the AI Conversation, Not Hide From It.

AI does bring risks. It must not be deployed in high risk conversations without thoughtful guardrails. Data privacy and anonymization must be non negotiable. Customers must understand when AI is appropriate and when it is not.

This is exactly why LSIs must engage now. Their customers want guidance. They want to understand how to use AI responsibly, how to leverage it in simpler workflows and how to combine it with human interpretation without compromising quality.

The window for leadership is open. The organizations we surveyed during our webinar made this clear. A majority were either piloting AI interpreting or planning for it. This is not a fringe movement. It is the next competitive baseline. LSIs that take an active role in educating their customers will grow. The ones that delay will watch competitors innovate past them.

The future will include far more interpreting than the industry delivers today. Some of it will be fully human. Some will be hybrid with AI support. Some will fill access gaps that have always existed because human interpreters were not available. The LSIs that embrace AI thoughtfully will be the ones that expand access and shape the next decade of language services.

2026 is not a year to wait and see. It is a year to adopt, experiment and lead.

AI interpreting will open new revenue streams and expand language access for the clients you serve. Start with our Buyer’s Guide for AI Interpreting. Then partner with Boostlingo to put the right strategy, technology and support in place for 2026 and beyond.