The debate over whether it's still worth learning another language in an age of instant AI translation is a fascinating one. On the surface, it seems like a no-brainer: if machines can translate instantly and accurately, why bother with the effort of learning a new language? But this overlooks a crucial point: the value of language learning goes far beyond mere translation. It's about the process, the effort, and the cognitive and cultural engagement that comes with it.
The Effort is the Point
Psychologists have long emphasized the importance of "desirable difficulties" in learning. These are the challenges that may seem inefficient but ultimately lead to stronger long-term retention and understanding. Learning a language is full of such difficulties: struggling with grammar, searching for the right word, and constructing meaning across multiple languages all engage brain networks that support memory, attention, and cognitive flexibility. This sustained mental engagement contributes to what researchers call cognitive resilience, the brain's capacity to maintain function as we age.
What Multilingualism Research Shows
The evidence on multilingualism is often oversimplified as a "bilingual advantage." But our recent study, which examined cognitive performance in a diverse group of multilingual and monolingual adults, revealed a more nuanced picture. We found that individuals with richer, more diverse multilingual experience showed significantly better performance in visuospatial working memory, particularly in older participants. This suggests that multilingualism may help preserve specific cognitive functions over time, rather than broadly enhancing cognition.
What AI Translation Can't Replicate
AI translation tools excel at speed and accessibility, but they operate through pattern recognition, not lived understanding. They struggle with cultural context, humor, register, and emotionally embedded meaning, especially for languages with less representation in training data. At best, AI captures the literal dimensions of language while missing the social ones. Consider the scene in the film Love Actually where a character delivers a sincere proposal in broken Portuguese; the emotion comes from the effort, vulnerability, and intent, not just the translation.
The Deeper Distinction
Translation is not the same as participation. Learning a language involves understanding how people think, their values, and how meaning is shaped by context and history. This cultural literacy develops through interaction and experience, and we can't fully outsource it to AI. The multilingual participants in our study expressed this insight directly, highlighting how different languages shape their thinking and expression.
The Future of Language Learning
AI will undoubtedly continue to shape language learning, personalizing instruction, minimizing barriers, and providing feedback at scale. But it can't replace the cognitive and cultural work that comes with learning a language. This work leads to a deeper relationship with how others see the world and how we express ourselves. In my opinion, the effort, the process, and the engagement with a new language are what truly matter, and they still hold immense value in a world of instant translation.
