Summary
A new report from DeepL shows a major gap in how businesses use artificial intelligence. While many companies are spending heavily on AI tools, most have not yet updated how they handle different languages. The "Borderless Business" report found that 83% of large companies are still using old or manual ways to translate their work. This delay comes at a time when the amount of content businesses create is growing faster than ever before.
Main Impact
The biggest takeaway from this research is that translation is the "missing piece" in the modern office. Even though AI is used for coding, writing, and data analysis, the way companies talk to global customers remains stuck in the past. This creates a bottleneck that slows down growth. Companies that fail to automate their language tasks are finding it harder to keep up with the 50% increase in content volume seen over the last few years. This gap represents a massive opportunity for businesses to improve their productivity by switching to modern AI systems.
Key Details
What Happened
DeepL released its 2026 Language AI report on March 10, titled "Borderless Business: Transforming Translation in the Age of AI." The study looked at how leaders in the United States, United Kingdom, France, Germany, and Japan are managing their global communications. It found that while AI is popular, it is not being used effectively for translation. Many leaders admitted that their current systems are built for an older era and cannot handle the speed of modern business.
Important Numbers and Facts
The data shows a clear divide in the corporate world. About 35% of international companies still do all their translation by hand. Another 33% use basic automation but still require people to check every single word. Only 17% of businesses have moved to advanced AI tools like large language models or AI agents. This means more than eight out of ten companies are missing out on the latest technology. Additionally, 54% of global executives believe that real-time voice translation will be a "must-have" tool by the end of 2026.
Background and Context
In the past, translation was seen as a small task for specific departments. Today, it is a core part of how a business functions. Companies need to speak multiple languages to enter new markets, support customers, and handle legal documents. DeepL's research shows that global expansion is the main reason companies are now looking at language AI. Sales, marketing, and customer support are also high on the list. As businesses try to reach more people in more countries, the old way of translating documents by hand is becoming too slow and too expensive.
Public or Industry Reaction
Industry leaders are pointing out that simply having AI is not enough. Jarek Kutylowski, the CEO of DeepL, noted that while AI is everywhere, true efficiency is still rare. He explained that many companies have deployed AI in small ways, but their main workflows are still designed for people to do the heavy lifting. Other experts in the field agree that 2026 will be the year when businesses stop just testing AI and start using it for major tasks. There is a growing sense that "agentic AI"—tools that can perform multi-step tasks on their own—will be the next big step for global enterprises.
What This Means Going Forward
The move toward "AI agents" is the next major shift. These are not just simple translators; they are tools that can work inside a company's email, calendar, and customer management systems. For example, the DeepL Agent can help sales teams target new regions or help legal teams review documents across different languages. However, as these tools become more powerful, security becomes a bigger concern. Companies in finance and healthcare are looking for AI providers that offer high levels of data protection. They want to make sure their private information stays safe while they use these new tools to grow.
Final Take
The data is clear: most businesses are not yet getting the full value out of language AI. While the technology exists to make global communication instant and easy, the majority of companies are still relying on slow, manual methods. As content continues to grow and the world becomes more connected, the gap between the leaders and the laggards will only get wider. The companies that choose to modernize their language workflows now will likely have a significant advantage in the global market over the next few years.
Frequently Asked Questions
Why are so many companies behind on language AI?
Many businesses still use manual processes or older automation because they haven't updated their core workflows. While they invest in AI for other areas, translation is often overlooked as a technical priority.
What is "agentic AI" in translation?
Agentic AI refers to tools that can do more than just translate text. They can navigate business software, follow multi-step instructions, and complete complex tasks like analyzing reports or managing emails across different languages.
Is data security a problem for AI translation?
Security is a major concern for regulated industries. Modern providers are addressing this by following strict rules like GDPR and offering encryption that allows companies to control exactly who can see their data.