Can AI Transform Language Acquisition? Google and Duolingo Believe It Can


Artificial intelligence is progressively leaving its imprint across numerous sectors, with language learning emerging as the most recent domain to experience significant advancements.

This week, both Google and Duolingo launched new AI-enhanced tools aimed at revolutionizing the language learning experience. Google rolled out a collection of experimental features named Little Language Lessons, driven by its Gemini AI model. These tools provide three interactive learning experiences tailored to customize the language acquisition process. “Tiny Lesson” assists users in learning phrases for particular situations—such as what to say if you misplace your passport. “Slang Hang” concentrates on teaching casual, everyday expressions, while “Word Cam” employs image recognition to recognize and label items in your photos in the desired language.

Meanwhile, Duolingo is heavily investing in generative AI. The company declared it will transition away from human contractors for tasks that can be handled by AI, and intends to incorporate AI into its recruitment and employee assessment processes. Additionally, Duolingo disclosed it has utilized generative AI to develop 148 new language courses, effectively doubling its course offerings.

Both companies are harnessing the potential of large language models—such as Google’s Gemini—to improve translation and language teaching. Duolingo, in particular, recognizes considerable potential in the function of AI in language education.

Nonetheless, not everyone is supportive. On the social media platform X (formerly Twitter), some users have voiced their discontent regarding Duolingo’s shift towards AI, with several even urging others to uninstall the app in protest.

Critics contend that language learning is fundamentally social and most effectively achieved through interpersonal interaction. While AI can aid with vocabulary and grammar, many assert that authentic conversation and cultural context are indispensable elements that machines cannot entirely duplicate.

Google, for its part, stresses that its new tools are intended to complement—not replace—conventional learning methodologies. In a blog entry, the company remarked, “These experiments aren’t about substituting traditional study, but about enhancing it: assisting people in forming habits, remaining engaged, and integrating learning into their daily lives.”

As AI continues to progress, its contribution to education—and especially in language learning—will likely continue to be a subject of both innovation and discussion.