DeepL reveals: 83% of companies overlook linguistic AI

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Key Takeaways

1The DeepL report, published on March 10, 2026, shows that 83% of companies have not adopted modern language AI.

2Despite a 50% increase in content since 2023, 68% of companies are still using outdated methods.

3DeepL stands out for its ISO 27001 and GDPR compliance, offering enhanced data control for regulated sectors.

💡Why it matters — The adoption of language AI is crucial for companies looking to optimize their multilingual operations and remain competitive on a global scale.

The latest report from DeepL, titled "Borderless Business: Transforming Translation in the Age of AI," published on March 10, 2026, highlights a significant lag in the adoption of linguistic AI by businesses. Despite massive investments in artificial intelligence for various business functions, linguistic and multilingual operations remain largely under-automated.

The Automation Gap

According to the collected data, 35% of international companies continue to manage their translations entirely manually. Meanwhile, 33% use traditional automation combined with systematic human review. Only 17% of companies have integrated next-generation AI tools, such as language models or agentic AI, into their multilingual processes. Thus, 83% of companies have yet to adopt these modern technologies, despite investments in other areas.

The report, based on a survey of business leaders in the United States, the United Kingdom, France, Germany, and Japan, also reveals that the volume of corporate content has increased by 50% since 2023. Yet, 68% of companies continue to rely on outdated workflows.

Why Linguistic AI is Becoming Infrastructure

Global expansion is the primary driver of investments in linguistic AI, accounting for 33% of use cases. Sales and marketing follow with 26%, customer support with 23%, and the legal and financial sectors with 22%.

A broader study conducted in December 2025 among 5,000 business leaders in the same markets found that 54% of global leaders believe real-time voice translation will be essential in 2026, up from 32% today.

The Sovereign Dimension of AI

DeepL stands out from its competitors due to its position on the trust spectrum among businesses, particularly in regulated sectors such as financial services, healthcare, legal, and government. Data sovereignty is a key factor in the choice of AI platforms.

DeepL is certified ISO 27001, SOC 2 Type 2, and GDPR compliant, and offers "Bring Your Own Key" encryption for its enterprise clients, allowing them to revoke access to data within seconds—a level of control that most language model providers do not offer.

DeepL Agent and the Broader Pivot

DeepL's product strategy in 2026 reflects a shift towards the autonomous execution of workflows. DeepL Agent, launched in November 2025, is designed to navigate enterprise systems, execute multi-step workflows, and operate across CRM tools, emails, calendars, and project management tools without requiring complex integrations.

According to DeepL, this agent operates with enterprise-level security and built-in data sovereignty by default, targeting companies that cannot send sensitive documents to the public cloud endpoints of OpenAI or Microsoft.

Conclusion

The Borderless Business report indicates that 71% of business leaders consider transforming workflows with AI a priority for 2026, with expectations for returns on customer experience, employee productivity, and time to market. The gap between this ambition and the 17% that have modernized their linguistic operations represents the market that DeepL is directly targeting.