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Will AI replace the need to learn English in global companies?
British Council | Mar 7, 2026, 09:32
From the British Council in Poland
In recent years, AI has rapidly transformed the way global companies operate. Automated translation tools, AI-powered writing assistants and real-time speech recognition systems are increasingly present in international workplaces. This technological progress has led to a recurring question: if AI can translate instantly, do large international companies still need employees who speak English?
Research and expert insights suggest that while AI is reshaping how languages are used at work, it is not replacing the need to use English. On the contrary, in an increasingly global and interconnected business environment, language skills remain a strategic asset.
Poland’s growing role in the global corporate ecosystem
Poland continues to play an important role in the international corporate landscape, serving both as a key location for foreign multinationals and as a growing source of outward investment. According to official statistics, over 22,000 companies with foreign capital are active in Poland, with a total investment of tens of billions of euros and employing more than 2 million people across industries from manufacturing to services, trade and technology. The market is diverse – we can see in it major global companies, but also the ones of Polish origin, such as Orlen, Asseco, InPost or Maspex are expanding across Europe and beyond, reflecting Poland’s dual role as both a host and a source of global corporate activity. This dynamic environment underscores why it remains crucial for professional success in Poland’s increasingly globalised business ecosystem to be able to communicate in English easily.
The role of English in global companies
Multinational organisations operate across borders, cultures and time zones. International project teams, global supply chains and cross-border client relationships require constant communication, often between people who do not share the same first language.
According to The Future of English: Global Perspectives, a report published by the British Council, English will continue to function as the world’s primary lingua franca in international business, science and technology. Employees in global companies rely on English not only to exchange information, but also to collaborate, negotiate, problem-solve and build trust across cultures.
In such environments, communication is rarely limited to simple information exchange. It involves nuance, tone, persuasion and cultural awareness – elements that go far beyond literal translation. As a result, language competence remains closely linked to professional effectiveness, leadership potential and career mobility.
AI as a support tool, not a replacement
Artificial Intelligence has undoubtedly changed the way languages are used at work. AI-powered tools can translate documents, support multilingual meetings and help employees draft texts more efficiently. According to the British Council’s report Artificial Intelligence and English Language Teaching, teachers worldwide already use AI to generate materials, support language practice and personalise learning. This, without a doubt, can be a great help in work that can boost efficiency or support creativity.
However, the same research highlights the clear limitations of AI. Automated systems often struggle with context, cultural references, humour, irony and industry-specific communication. They may produce grammatically correct output while missing the speaker’s intent or the interpersonal dynamics of a conversation.
For global companies, this matters. Business communication is not only about accuracy, but also about relationships. Negotiations, feedback conversations, performance reviews or crisis communication require emotional intelligence and cultural sensitivity. And those are the areas where human language skills remain essential.
Skills AI cannot replicate
British Council research shows that around 60% of English language teachers do not believe that AI and automated translation will eliminate the need for language learning. This view is increasingly shared by employers who recognise that language proficiency supports skills that technology alone cannot replicate.
There are several key reasons why foreign language learning remains crucial:
- Effective collaboration
Teams that share a working language communicate more efficiently, make fewer misunderstandings and collaborate more naturally. Relying solely on translation tools can slow down interaction and reduce spontaneity in meetings and teamwork.
- Cultural competence
Language learning develops cultural awareness. Understanding how people express agreement, disagreement or uncertainty in another language is essential in global leadership and international negotiations.
- Trust and credibility
Clients and partners often perceive language skills as a sign of respect and commitment. Speaking a shared language builds trust in ways that translated communication rarely achieves.
- Strategic thinking and leadership
Senior roles in global companies require influencing, persuading and decision-making across cultures. These competencies depend heavily on advanced language and communication skills.
English meaning in the AI era: evolving, not disappearing
Rather than making English redundant, the rise of AI is reshaping how the language is used in global business. Automated translation and writing tools can support efficiency and accessibility, but they do not replace the need for a shared working language in multinational environments. English continues to underpin collaboration across borders, enabling trust, leadership, cultural understanding and effective decision-making in international teams. In an increasingly AI-supported workplace, English remains the common medium through which relationships are built, ideas are negotiated and global organisations function. Its role is changing. Supported by technology, not replaced by it, confirming that human communication skills remain central to success in the global economy.

