DeepL's Borderless Business report shows 83% of enterprises lag in language AI adoption

AI has become a staple across the enterprise, but translation workflows often remain an afterthought. That's the key takeaway from DeepL's 2026 Language AI report, "Borderless Business: Transforming Translation in the Age of AI," released March 10. While businesses invest heavily in AI across various departments, the report reveals that language and multilingual operations—workflows spanning sales, legal, customer support, and global expansion—are still the most underautomated part of the enterprise tech stack.

The automation gap hiding in plain sight

According to DeepL's Borderless Business report, 35% of international businesses still manage translation entirely through manual processes, while another 33% rely on traditional automation paired with systematic human review. Only 17% have adopted next-generation AI tools—large language models or agentic AI—for multilingual operations.

This means, based on the report's findings, 83% of enterprises have not yet moved to modern language AI capabilities, despite investing in AI elsewhere in the business. The report, which draws on survey data from business leaders across the United States, United Kingdom, France, Germany, and Japan, also found that enterprise content volume has grown 50% since 2023, yet 68% of companies still rely on workflows built for a different era.

Jarek Kutylowski, CEO and founder of DeepL, put it plainly: "AI is everywhere, but efficiency is not. Most companies have deployed AI in some form, yet few achieve real productivity at scale because core workflows remain designed around people, not systems."

Why language AI is becoming infrastructure

The angle that makes this more than a translation story is where language AI is now being deployed. According to DeepL's research, global expansion is the top driver of language AI investment at 33%, followed by sales and marketing at 26%, customer support at 23%, and legal and finance at 22%. These are mission-critical business functions, not peripheral content tasks.

DeepL's broader research from December 2025, surveying 5,000 senior business leaders across the same five markets, found that 54% of global executives say real-time voice translation will be essential in 2026, up from 32% today. According to that research, the UK and France are leading early adoption at 48% and 33% respectively, while Japan sits at 11%—a gap that points to significant variance in enterprise readiness across global markets.

The company now serves over 200,000 business customers across 228 markets, and at the AI & Big Data Expo in London in February 2026, Scott Ivell, vice president of product marketing at DeepL, told SiliconANGLE that the company has 2,000 customers globally deploying AI agents—used for report analysis, sales targeting, and legal document review.

The sovereign AI dimension

What separates DeepL's positioning from general-purpose AI competitors is where it sits on the enterprise trust spectrum. As enterprises in regulated industries—financial services, healthcare, legal, government—accelerate AI adoption, data sovereignty is increasingly the deciding factor in platform selection.

DeepL is ISO 27001, SOC 2 Type 2, and GDPR certified, and offers Bring Your Own Key encryption for enterprise customers, giving organizations the ability to withdraw data access in seconds—a control level that most large language model providers do not offer. According to DeepL's own security documentation, this means data can effectively be placed beyond anyone's reach, including DeepL itself, at the customer's discretion.

Sebastian Enderlein, CTO at DeepL, has framed 2026 as a year of execution rather than experimentation: "I believe 2026 will be the year AI stops experimenting and starts executing, at a scale we haven't yet seen. After a cycle of pilots and proofs of concept, businesses are now ready to scale, and they're betting big on agentic AI to do it."

DeepL Agent and the broader pivot

DeepL's product direction in 2026 reflects the same shift visible across enterprise AI broadly: from single-function tools to autonomous workflow execution. DeepL Agent, launched in general availability in November 2025, is designed to navigate business systems, execute multi-step workflows, and operate across CRM, email, calendars, and project management tools without requiring complex integrations.

According to DeepL's announcement, the agent operates with enterprise-grade security and data sovereignty built in by default—a deliberate positioning choice that targets the segment of enterprises that cannot send sensitive documents to OpenAI or Microsoft's public cloud endpoints.

DeepL's chief scientist, Stefan Miedzianowski, has described the current moment as a transition on the technology adoption curve: "2026 will undoubtedly be the year of the agent. 2025 was the year when public awareness caught up with the science showing what agents can do, but enterprise adoption at scale will happen now. We are moving from the innovators to the early majority."

According to the Borderless Business report, 71% of business leaders say transforming workflows with AI is a priority for 2026, with expected returns across customer experience, employee productivity, and time to market. The gap between that ambition and the 17% who have actually modernized their language operations is the market DeepL is squarely targeting.

DeepL is a Platinum Sponsor at TechEx Global, appearing at the AI & Big Data Expo and co-located events at Olympia London, February 3 & 4, 2027.

See also: Automating complex finance workflows with multimodal AI

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