Reading Time: 3 minutesThe future relevance of language learning has become one of the most debated topics with the rise of artificial intelligence. Some believe that AI will radically solve the issue by enabling real-time communication between speakers of any language through simultaneous translation. Others, however, argue that the ability to speak multiple languages will remain irreplaceable and continue to make a significant impact on our professional careers.

In this edition of our newsletter, we bring you key insights from those who believe that language learning and multilingualism will remain as valuable as ever.

Enrique Dans – Let’s not get lost in translation: why learning a language is a good thing

The main ideas of the article are:

• Despite advancements in AI translation tools, learning languages remains valuable for cultural understanding and cognitive development.
• Generative AI, like Zoom’s integration of translation tools, makes communication across languages easier but should not replace language education.
• Language learning supports brain development and delays cognitive decline.
• Multilingualism offers a deeper connection with different cultures that AI-mediated communication cannot match.
• The decline in foreign language studies globally could limit human potential, as technology should expand horizons, not narrow them.

British Council España

On the other hand, the British Council in Spain also argues that AI will allow a transactional use of language, but the identity and culture of a language is irreplaceable:

• AI is not seen as a replacement for language teaching, which remains essential for human experiences and cultural expression.
• Experts emphasize that learning languages goes beyond transactional communication, connecting language with identity and culture.
• Teachers remain vital in the AI era by fostering complex learning and interaction.

Finally, we asked the “interested party”:

Hi, ChatGPT: do you think that due to artificial intelligence it will no longer be necessary to learn languages?

And so IT has responded:

The rise of artificial intelligence (AI), particularly in natural language processing (NLP) and machine translation, raises an interesting question about the future of language learning. AI tools like Google Translate, DeepL, and conversational agents have become incredibly effective, making communication across languages more accessible. However, I don’t think that AI will completely eliminate the need or desire to learn languages for several reasons:

1. Cultural Understanding and Nuance

Languages carry more than just words; they reflect the culture, values, and worldview of a society. AI may translate phrases accurately, but it often misses the subtle nuances, idioms, humor, and cultural context that a fluent speaker can understand. Learning a language goes beyond understanding words—it’s about appreciating how people think and express themselves.

2. Human Connection and Empathy

Communication is deeply tied to human connection. Speaking someone’s native language fosters a deeper emotional connection and trust. AI might translate the words, but it can’t fully replace the personal touch that comes from sharing a common language, which can be important in both personal and professional settings.

3. Cognitive Benefits

Language learning is known to enhance cognitive abilities, improve memory, and even delay the onset of dementia. The process of learning a language engages the brain in unique ways that have lifelong benefits. While AI tools can help with translation, they don’t provide the same mental stimulation as learning a language.

4. Workplace Relevance and Expertise

In certain industries—like diplomacy, international business, law, and education—fluency in multiple languages remains essential. Although AI tools assist, professionals in these fields still need to master languages to navigate complex negotiations, legal nuances, or build long-lasting business relationships.

5. AI’s Limitations in Translation

While AI has made incredible advances, translation tools are still far from perfect. They can struggle with less common languages, regional dialects, or domain-specific jargon. For example, in legal or medical contexts, even minor translation errors can have serious consequences. Human expertise in language remains vital for ensuring accuracy.

6. Learning for Passion and Enjoyment

Many people learn languages not out of necessity, but for the joy of it. Language learning opens the door to literature, film, and other art forms in their original language. It also makes travel more enriching. AI can provide help, but it doesn’t replace the personal satisfaction of learning to speak a language fluently.

Conclusion:

AI will certainly change the way we communicate and reduce the language barrier in many practical scenarios. However, it’s unlikely to make language learning obsolete. The cultural, cognitive, professional, and personal benefits of learning languages will still be relevant in a world where AI helps us communicate across languages faster and more efficiently.

It seems that, at least for the time being, we should continue to practice “My tailor is rich”.