DeepL’s Borderless Business report reveals 83% of enterprises are still behind on language AI

Host A: Welcome back to AI Catchup Weekly, I'm your host, and we're diving into a fresh report from DeepL that honestly stopped me in my tracks when I read the numbers.

Host B: Oh yeah? What jumped out at you?

Host A: So DeepL just dropped their 2026 Borderless Business report, and the headline finding is this — 83% of enterprises have not adopted modern language AI, even though they're investing in AI pretty much everywhere else in their business.

Host B: Wait, so companies are out here building AI into everything from HR to finance, but they're still manually translating documents?

Host A: Exactly. Thirty-five percent of international businesses are handling translation entirely by hand, and another 33% are using older automation with humans double-checking everything. Only 17% have actually moved to next-gen tools like large language models or agentic AI for multilingual work.

Host B: That's a wild gap. And it's not like translation is some niche back-office task — this touches sales, legal, customer support, all the stuff that actually drives revenue.

Host A: Right, and that's the key reframe in the report. Language AI is becoming infrastructure, not a nice-to-have. The top driver for investment is global expansion at 33%, followed by sales and marketing, customer support, and legal and finance. These are mission-critical functions.

Host B: So the stakes are high, and yet most companies are still running on workflows built for, what, a different decade?

Host A: That's almost a direct quote from the report — 68% of companies rely on workflows built for a different era, even as content volume has grown 50% since 2023. DeepL's CEO put it pretty bluntly, saying AI is everywhere but efficiency is not.

Host B: So what's DeepL's answer to all of this? I assume they're not just publishing a report out of the goodness of their hearts.

Host A: Fair point! They launched something called DeepL Agent back in November 2025 — it's designed to execute multi-step workflows across CRM, email, calendars, project management tools, without needing complex integrations. Think autonomous multilingual operations, not just a translation button.

Host B: And I imagine for regulated industries — healthcare, legal, financial services — there's a real question of whether you can even trust a general-purpose AI with sensitive documents.

Host A: That's actually DeepL's biggest differentiator here. They're ISO 27001, SOC 2 Type 2, and GDPR certified, and they offer something called Bring Your Own Key encryption, which means a company can effectively pull their data out of DeepL's reach instantly — including DeepL itself.

Host B: Okay that's actually a genuinely compelling pitch for any enterprise that can't just fire sensitive contracts into a public cloud endpoint.

Host A: And the ambition is clearly there on the enterprise side too — 71% of business leaders say transforming workflows with AI is a top priority for 2026. The gap between that ambition and the 17% who've actually modernized is essentially the market DeepL is going after.

Host B: So the opportunity is massive, the urgency is real, and most companies are just... not there yet. Classic enterprise tech adoption story, honestly.

Host A: Textbook. Alright, that's going to do it for this segment — if you're working in a global business and your translation workflow still involves a lot of copy-pasting, maybe worth a look at what's out there now.

Host B: Seriously, your future self will thank you. Thanks for tuning into AI Catchup Weekly, we'll see you next time.