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Manual Translation Processes Resisting the Shift to AI

An Insight into the Current Landscape of Translation in Enterprises

The landscape of global business communication is evolving, particularly in the domain of translation. A recent report from DeepL sheds light on the ongoing challenges faced by enterprises as they navigate the complexities of multilingual workflows. Despite significant investments in AI technology, many organizations are still anchored to outdated manual translation processes. This situation not only hinders efficiency but also stifles potential growth opportunities in international markets.

The 2026 Language AI Report, titled Borderless Business: Transforming Translation in the Age of AI, highlights crucial findings based on survey data from business leaders in key markets including the United States, United Kingdom, France, Germany, and Japan. The report reveals that a staggering 35% of global businesses continue to rely solely on manual translation workflows, a practice that often leads to inefficiencies and delays in communication.

Traditional Approaches Still Dominating

Amongst the surveyed companies, 33% have adopted traditional translation automation strategies, which typically involve translation management systems complemented by human review. This hybrid approach may offer some advantages but still falls short of fully leveraging the capabilities of modern AI-driven solutions. Alarmingly, only 17% of enterprises have implemented next-generation AI tools—like large language models (LLMs) or agentic AI—for translation tasks. This statistic indicates that a significant 83% of organizations are missing out on improved efficiency and accuracy that advanced AI solutions can provide.

Jarek Kutylowski, CEO and Founder of DeepL, notes, "AI is everywhere, but efficiency is not. While most companies have integrated AI to some extent, the lack of systemic innovation often stalls real productivity improvements. It's essential to reevaluate workflow designs to capitalize on AI's potential fully."

Translation’s Expanding Role Across Business Functions

Translation is no longer just a supporting function; it impacts vital business operations including:

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

These statistics reflect a growing recognition that effective translation can directly influence customer engagement, sales performance, and overall operational effectiveness. Furthermore, the report indicates that 71% of business leaders prioritize transforming workflows with AI technologies for 2026, highlighting a keen awareness of the necessity for change.

Anticipated Returns from AI Solutions

Looking to the future, businesses expect that embracing AI-driven translation will enhance various dimensions of operations. Key areas anticipated to yield the most significant returns include:

• - Customer Experience
• - Employee Productivity
• - Sales Performance
• - Faster Time-to-Market

As globalization accelerates, organizations face increasing scrutiny to demonstrate measurable returns on their AI investments. Achieving this requires a fundamental shift in mindset and processes, embracing a more interconnected approach where technology and human effort work in tandem.

The Challenge of Rethinking Operational Models

Harry Witzthum, Chief of Digital Transformation and AI at Caritas, emphasizes the importance of reevaluating operational structures. He states, "It's not just about language – it's about processes and structure. Organizations must assess whether their current operating models effectively harness the transformative prospects AI offers."

Conclusion

The findings from DeepL’s report underscore the pressing need for enterprises to adapt their translation processes, moving away from manual methods towards automated AI solutions. As leaders recognize the strategic importance of effective multilingual communication, the potential for AI-driven transformation is immense. Companies that act on these insights are likely to enjoy enhanced operational efficiencies, improved customer satisfaction, and a stronger foothold in the global market.

For further insights, the full report is available at DeepL’s website.