Some people are intentionally unlearning their native language to simplify their thinking and improve cognitive efficiency. Discover why this linguistic trend is gaining popularity and what it means for the future of communication.
Language is the foundation of how we understand and express the world around us. But what if the language we grew up with is actually limiting the way we think? In a surprising new trend, some people are intentionally unlearning their native language in favor of a simpler, more structured way of thinking. This shift is driven by the belief that complex grammar, unnecessary words, and cultural biases embedded in native languages can clutter the mind and make thinking less efficient.
This phenomenon is gaining traction among digital nomads, minimalist thinkers, and even AI researchers who want to streamline communication. But does unlearning a native language really make thinking easier, or does it come with unintended consequences? Let’s explore why people are making this radical shift and what it means for the future of human cognition.
The Science Behind Language and Thought
For decades, scientists have debated the Sapir-Whorf hypothesis, which suggests that language shapes the way we think. Some languages, like Mandarin, rely on contextual meaning and visual representation, while others, like English, follow strict grammatical rules. Research has shown that people who speak multiple languages often think differently depending on which language they use.A 2024 study from the Cognitive Science Journal found that people who regularly switch between languages tend to be better at problem-solving and multitasking. However, some argue that speaking a complex native language can also slow down thought processes by forcing the brain to process unnecessary linguistic structures. This has led to a growing movement of individuals seeking to simplify their cognitive load by intentionally shedding their native language.
Why Are People Unlearning Their Native Language?
1. Cognitive Efficiency and Minimalism
Some individuals believe that traditional languages contain too much complexity, making communication and thought processes inefficient. They argue that simpler languages, such as constructed languages (conlangs) like Toki Pona, can help remove unnecessary mental clutter. Toki Pona, for example, has only 120-137 words, forcing speakers to simplify their thoughts and focus only on essential ideas.
People adopting this approach claim that by reducing linguistic complexity, they experience clearer thinking, less mental fatigue, and even reduced anxiety from overanalyzing situations.
2. The Digital Age and AI Interaction
As artificial intelligence (AI) becomes more integrated into daily life, some individuals are adapting their thinking patterns to be more compatible with machine processing. Since most AI models, including ChatGPT and Google’s Gemini, process language differently than humans, some believe that using a simplified or structured linguistic approach makes it easier to communicate with technology.
This shift is especially common among tech professionals and AI developers who spend hours interacting with digital assistants. By restructuring their language usage, they aim to improve efficiency when working with AI-powered systems.
3. Breaking Free from Cultural and Linguistic Bias
Languages carry deep cultural assumptions and biases. Some individuals feel that their native language limits them by reinforcing social norms, gender roles, or outdated perspectives. By moving away from their mother tongue, they believe they can free themselves from subconscious conditioning and gain a more neutral, global perspective.
For example, some English speakers have chosen to embrace more gender-neutral or culturally neutral languages to move away from ingrained biases. Others have shifted toward Esperanto, a constructed language designed for universal communication, to avoid the dominance of English in global discourse.
The Process of Unlearning a Native Language
Unlearning a native language is not as simple as stopping its use—it requires intentional effort. Here are some ways people are doing it:
Switching to a Simpler Language – Many participants in this trend actively learn minimalist languages like Toki Pona, Esperanto, or even Basic English to replace their native tongue.
Reducing Daily Use – Some people limit their exposure to their native language by switching all digital content, books, and conversations to their chosen alternative.
Thinking in a New Language – To fully shift their cognitive processing, they practice thinking and problem-solving exclusively in their adopted language.
Eliminating Unnecessary Words – By trimming vocabulary and complex sentence structures, they aim to make communication as efficient as possible.
The Challenges and Risks of Unlearning a Language
While simplifying thought through language reduction may seem appealing, it comes with potential downsides. Some experts warn that language is deeply tied to memory, identity, and emotional expression. Studies show that people recall childhood memories more vividly in their native language compared to a second language. Losing a native tongue might make it harder to connect with personal history and cultural heritage.
Additionally, certain ideas and emotions may be harder to express in stripped-down languages. A 2025 study by the Global Linguistics Institute found that people who abandoned their native languages struggled with emotional depth in communication, as minimalist languages often lack nuanced expressions for complex feelings.
The Future of Language: A New Global Shift?
As globalization continues and AI reshapes communication, some experts predict that language simplification may become a broader trend. Already, many workplaces are adopting simplified English for international business, and AI is making real-time translation seamless.
However, rather than unlearning native languages entirely, many linguists advocate for a balanced approach—embracing simpler language structures while maintaining the richness and depth of traditional languages.