Duolingo has announced the release of 148 new language courses developed using generative AI, marking the most significant content expansion in the company’s history. The update effectively doubles the number of available courses on the platform. According to CEO Luis von Ahn, what once took over a decade to build manually has now been achieved in just a year, thanks to the integration of AI into the course development process.

The new courses are primarily designed for beginners and include interactive features like Stories and DuoRadio, aimed at enhancing reading and listening comprehension. Duolingo has stated that more advanced content will follow in the coming months as the platform continues to scale.

AI Adoption Triggers Criticism Over Workforce Reduction

While the expansion has been framed as a leap forward in accessibility and scale, Duolingo is facing growing backlash due to its internal shift toward AI-led operations. In an email to staff earlier this week, von Ahn shared the company’s plan to phase out contractors for tasks that AI can perform. He emphasized that new hires would only be considered when automation isn't feasible, reinforcing Duolingo’s “AI-first” direction.

The decision has sparked criticism on social media, with users expressing concern over the quality of AI-generated content and the ethical implications of replacing human workers. Some users have reported uninstalling the app, citing frustration with recent changes and a perceived decline in educational value.

Balancing Innovation and Accountability in Language Learning

Duolingo maintains that the shift to AI is essential for achieving its mission of making education accessible at scale. The company argues that without automation, producing such a vast amount of language content would take decades and limit access for learners worldwide.

However, the reaction from users and educators suggests that the company may need to strike a more thoughtful balance between innovation and responsibility. As Duolingo prepares to release even more AI-driven features and courses, it faces the challenge of proving that technological progress can coexist with quality, transparency, and ethical employment practices.