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Here's Why I Bought This Glorious Growth Stock After Its 83% Plunge

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Here's Why I Bought This Glorious Growth Stock After Its 83% Plunge

Duolingo reported 2025 revenue of $1.04 billion, up 39% year over year, and GAAP net income of $414.1 million, up 367%, while daily active users rose 30% to 52.7 million and paid subscribers increased 28% to 12.2 million. The article argues AI features are supporting engagement rather than disrupting the business, and management is targeting 100 million DAUs by 2028. Despite a 83% share decline from peak, the stock is described as cheap at 10.2x trailing earnings and 4.1x sales, with 2026 EPS expected to dip to $7.07.

Analysis

The market is likely over-discounting AI disruption because it is thinking about Duolingo as a generic language app rather than as a habit-forming distribution layer. The more relevant competitive question is whether AI improves customer outcomes enough to raise willingness to pay; if so, Duolingo can use AI as a premium feature set while preserving its moat in engagement and brand. In other words, AI is less a substitution threat than a product-quality and monetization accelerator, especially if the company can convert even a small fraction of incremental users into higher-tier subscriptions.

The short-term earnings reset is the real source of volatility, and that creates a cleaner setup than the headline valuation implies. If management prioritizes user acquisition for 6-9 quarters, operating leverage can compress near-term EPS even while lifetime value per user improves, which is exactly the kind of tradeoff the market punishes before re-rating later. The important second-order effect is that a larger user graph reduces the probability that a better-funded AI-native entrant can dislodge Duolingo; scale itself becomes a defensive asset in an AI-rich category.

Consensus is missing how asymmetric this is if the 2028 user target is even partially achieved. The market is pricing a mature, vulnerable subscription business, but the data suggest an expanding funnel with optionality to re-accelerate monetization once scale is rebuilt. The bear case requires both sustained AI substitution and failed user acquisition; those two outcomes are not independent, because stronger AI features can actually improve retention and conversion if integrated into the existing gamified workflow.

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