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DeepL's 2026 Language AI Report: Major Insights on Translation Automation

On March 10, 2026, DeepL, a leading international company in AI product development and research, released its much-anticipated report titled "Language AI 2026: Borderless Business Transforming Translation in the Age of AI." This comprehensive study reveals critical insights into how organizations are handling translation and multilingual operations in the context of significant AI investments.

Key Findings

The data collected reflects that despite the escalating focus on AI across various industries, many businesses are still lagging in automating essential operations. Notably, the report highlights:

• - 35% of international companies continue to rely entirely on manual translation workflows, with this figure being 29% in France.
• - 33% of organizations still employ traditional translation tools that necessitate systematic human review, a statistic that rises to 36% in France.
• - Only 17% of businesses have adopted next-generation AI tools (like LLM or agentic AI), leaving a staggering 83% of the market unutilized.
• - 33% of decision-makers indicate that international expansion drives the push for AI investment, with a slight dip to 30% in France.

Jarek Kutylowski, the founder and CEO of DeepL, provided an astute observation: "AI is everywhere, yet efficiency is not. Most companies have implemented AI in some form, but few achieve substantial productivity at scale due to essential processes being designed around human intervention rather than systems. It’s vital to rethink workflows, not just models."

The report emphasizes that translation now plays a critical role in various business functions and acts as a significant operational lever across the following areas:

• - Sales and Marketing (26%)
• - Customer Service (23%)
• - Legal and Finance (22%)

A Growing Awareness

Interestingly, the study indicates a rising recognition among executives, with 71% acknowledging the need for AI-driven workflow transformation, which translates to 72% in France. These leaders prioritize this transformation for 2026, anticipating that AI-based translation will yield superior outcomes in customer experience, employee productivity, business performance, and quicker market delivery.

This shift reflects increasing pressure on organizations to substantiate the measurable ROI of AI initiatives.

Harry Witzthum, the head of digital transformation at Caritas, emphasized the need for a broader shift: "It’s not solely about language; it also involves processes and structures. Organizations must reevaluate their operational models to ensure they are genuinely designed to fulfill AI promises."

About the DeepL 2026 Language AI Report

This report combines quantitative survey data and professional insights to examine how companies approach translation and multilingual operations in the AI era. A detailed version of the report can be accessed at DeepL Reports.

About DeepL

Founded in 2017 by Jarek Kutylowski, DeepL stands out for its innovative approach and dedication to creating intelligent, secure solutions that address complex business challenges. Serving over 200,000 businesses and millions of individuals across 228 international markets, DeepL is trusted for natural translations, text refinement, and real-time voice translation. The company continuously expands its offerings beyond language services, notably with Deepl Agent, an autonomous AI assistant revolutionizing daily operations for companies and specialized workers alike. For more information, visit DeepL.