Language learning in the age of AI

Large language models (LLMs) are giant neural networks loosely inspired by the human brain. Trained on massive amounts of human text, these AIs can understand and generate text in many different languages. This reality raises an intriguing question for internationals: if AI can handle so much of the language work, from translation to content creation, do we still need to learn a new language ourselves?

The short answer is yes, absolutely. But why we learn and what we focus on is changing in the era of AI.

What AI can do (so you don’t have to)

LLMs have become incredibly capable, reducing the need for some traditional language tasks such as:

• Multilingual understanding: Modern AI models can read and write in many languages. These models use a shared multi-dimensional "space" in which the words dog, köpek, Hund, chien, hond, perro are all located in the same location in that "space". This allows processing in multiple languages.
• Seamless translation & code generation: You can even mix languages in a single prompt, and the AI won’t get confused. It can switch languages on the fly and respond appropriately. Natural language has become a universal interface. You can instruct an AI to create text, write code or design images and videos just by describing what you want in plain language. For example, platforms like Lovable or Bolt can build entire websites and applications from a few simple prompts, with no manual coding needed.
• AI as the heavy lifter: Because AI can generate content from essays to working code, humans no longer need to write every word or line themselves. The AI handles the heavy lifting of generation, while people can focus on the higher-level ideas, design and refining the output. In practice, AI tools take care of repetitive or technical details, freeing us to be more creative and strategic.

In education and other professional settings, many users of AI tools report significant time savings and improvements in the quality of their work. Teachers and professionals who use AI regularly find it helps with repetitive tasks such as planning, grading, and feedback, freeing up time to engage more deeply with students and colleagues.

Why human language skills still matter

Despite these advances, learning a language remains essential for several reasons:

Nuance and quality control

AI might translate or generate text, but it doesn’t truly understand culture or context. It can miss subtle meanings, tone or appropriateness. Only a human can judge if a translation or phrase sounds right in context.

For instance, AI often fails to capture cultural nuances or idioms that human translators handle with ease. Our own language ability is needed to ensure the output isn’t just grammatically correct, but also natural and culturally appropriate.

Taking the above example further, dog and hond may be interchangeable as nouns, but can every language use the phrase "to dog one's footsteps"?

Trust and connection

In a globalised, collaborative world, speaking someone’s language builds trust and rapport that no machine can replace. Colleagues and neighbours appreciate the effort; it shows respect.

In fact, employers often highly value bilingual candidates. Learning the local language demonstrates adaptability and commitment, which can translate into greater trust, respect, and career opportunities in your new country.

Socially, conversing in the local tongue helps you form genuine friendships and integrate more deeply.

Daily life and culture 

Living, working, or enjoying life abroad (yes, even in the largely English-speaking Netherlands!) is much richer when you know the language. From understanding jokes and social cues to handling practical tasks like asking for help in an emergency, language is key.

Even if locals speak some English, being able to use Dutch (or any host language) in everyday situations makes life less stressful and more fulfilling. You gain insights into the culture that AI translations alone can’t provide, and you show the community you’re invested in connecting with them.

In schools and workplaces where AI use is supported and encouraged, users often experience smoother workflows and more time to focus on meaningful interaction. However, AI remains a tool that supports, rather than replaces, the human skills of communication, cultural understanding, and emotional intelligence.

A balanced future for language learning

Language remains a deeply human skill: one that technology can enhance, but never fully replicate. For expats in the Netherlands, making the effort to learn Dutch offers not only practical benefits but also deeper cultural insight and community connection.

With the right tools and mindset, learning a new language in the age of AI can be more empowering than ever.