Duolingo CEO Says They've Stopped Tracking Employees' AI Use for Performance Reviews

Why It Matters

The shift signals a more flexible approach to AI governance, balancing productivity gains with employee autonomy, and highlights how AI‑driven product innovation can fuel user growth even as market confidence wanes.

Key Takeaways

• Duolingo dropped AI-use metrics from performance reviews after employee pushback
• CEO maintains AI-first stance, limiting contractor hires where AI can substitute
• "Vibe coding" day produced chess course, now 7 M daily users
• Stock fell 81% since 2025 peak despite $1 B revenue

Pulse Analysis

Duolingo's decision to stop measuring AI usage in employee performance reviews reflects a broader industry debate about how to integrate generative tools without stifling human judgment. While the April 2025 memo positioned AI as a core metric for accountability, feedback from staff highlighted a cultural clash: employees questioned whether they were being forced to adopt AI for its own sake. By decoupling AI adoption from formal evaluations, Duolingo aims to foster a more organic, results‑oriented environment where AI is used as a productivity aid rather than a compliance checkbox.

The company's internal "vibe coding" experiment underscores the creative potential of AI‑assisted development. In a single day, every employee—from engineers to HR—used prompt‑driven models to prototype a new chess curriculum, despite lacking traditional coding or chess expertise. The resulting product quickly became Duolingo's fastest‑growing course, now serving roughly seven million daily learners. This case study illustrates how AI can democratize innovation, allowing non‑technical teams to contribute directly to product pipelines and accelerate time‑to‑market for niche offerings.

Financially, Duolingo's stock has tumbled more than 80% since its 2025 high, even as the firm reported over $1 billion in revenue and a robust user base. The divergence suggests investors remain cautious about the sustainability of an AI‑first strategy amid broader market volatility. Yet the company's willingness to recalibrate internal AI policies while still leveraging AI for product breakthroughs may position it to regain confidence. Observers will watch whether this balanced approach can translate into steadier growth and a more resilient valuation in the competitive ed‑tech landscape.