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Preply's First Annual "Progress Report" Finds Nearly Half of Learners Struggle to Apply What They Learn in Real Life, Despite Having More Access to Learning Than Ever Before

Source: PR Newswire

Artificial IntelligenceTechnology & InnovationConsumer Demand & Retail
Preply's First Annual "Progress Report" Finds Nearly Half of Learners Struggle to Apply What They Learn in Real Life, Despite Having More Access to Learning Than Ever Before

Preply's survey of more than 5,000 professionals across nine countries found that 88% already use AI for learning, but 63% feel busy learning without genuinely improving and 49% struggle to apply learned skills in real-world settings. Demand favors hybrid learning: 75% trust AI combined with human expertise for long-term progress, versus 11% preferring a fully self-directed AI approach, while 90% want AI in a supporting rather than leading role. The survey supports Preply's positioning of its 150,000-tutor, AI-enabled marketplace, though it is primarily market-research and brand-positioning news rather than a material financial catalyst.

Analysis

This is directionally supportive for hybrid learning models, but it is not independently validated demand or monetization evidence. The relevant read-through is that AI is likely to commoditize content discovery while increasing the value of workflow, assessment, accountability, and human feedback—the layers that can sustain pricing and reduce churn. That favors platforms with enterprise distribution and measurable skills outcomes over consumer apps built around low-cost content libraries.

For public markets, the clearest 6-18 month beneficiary is Duolingo (DUOL) if it converts AI engagement into higher-frequency paid usage without displacing premium subscription willingness; the risk is that generative-AI language practice lowers consumers' perceived need for a dedicated app. Coursera (COUR) and Udemy (UDMY) have greater exposure to the enterprise upskilling budget, where ROI measurement and manager-led adoption can matter more than standalone content breadth. However, their multiple re-rating requires evidence that AI features lift net retention and seat expansion rather than merely raising product-development and cloud-inference costs.

Near term, there is no standalone trade catalyst: this is commissioned survey data from a private marketplace with obvious strategic incentives. Watch upcoming DUOL, COUR, and UDMY earnings for paid conversion, enterprise net retention, gross-margin commentary, and AI-related customer-acquisition trends. A material increase in free AI substitution, reflected in slowing subscriber growth or higher marketing spend without retention improvement, would falsify the hybrid-model thesis within 1-3 quarters.

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Market Sentiment

Overall Sentiment

mildly positive

Sentiment Score

0.15

Key Decisions for Investors

  • No immediate event-driven position; treat this as a monitoring signal rather than a tradable catalyst given the low-impact, self-interested survey source.
  • Maintain a 6-12 month quality bias toward DUOL versus UDMY only if DUOL continues to show subscription growth and stable-to-expanding gross margin; the pair expresses consumer engagement monetization versus more competitive course-content economics.
  • For COUR and UDMY, wait for evidence of enterprise net-retention stabilization and AI-feature attach rates before initiating longs; a guidance raise tied to paid enterprise seats, rather than usage metrics, is the required confirmation.
  • Set downside alerts: reduce any education-technology exposure if DUOL paid-subscriber growth decelerates materially for two quarters, or if COUR/UDMY report AI-related gross-margin compression or rising sales-and-marketing intensity without improving retention.

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