What is it about?
Many organizations use AI-powered learning platforms that make training feel more like a game. Employees earn points, badges, rankings, and instant feedback as they complete courses. These features are designed to make learning more engaging and encourage participation. But an important question remains: Does higher engagement actually lead to better learning? Through interviews with HR professionals, learning specialists, and employees from Indian technology companies, this study explored how people experience AI-driven gamified learning systems. The findings reveal a surprising challenge. While these platforms often motivate employees to complete training, many participants reported focusing on earning rewards and finishing modules quickly rather than developing a deep understanding of the content. Learning was often experienced as fragmented, and many learners became dependent on external rewards and notifications to stay engaged. The study highlights a "gamification paradox": the same features that increase participation may sometimes reduce meaningful learning if they are not carefully designed
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Why is it important?
Organizations invest billions in employee learning and development, often measuring success through course completion rates, badges earned, and engagement metrics. However, completing training is not the same as learning. If employees are motivated primarily by rewards rather than understanding, organizations may create a workforce that excels at finishing courses but struggles to apply knowledge, solve complex problems, or think critically. As AI-powered learning becomes increasingly common, it is essential to ensure that technology supports genuine skill development rather than simply encouraging participation. This research encourages organizations to look beyond engagement statistics and focus on whether learning experiences lead to long-term capability, reflection, and real-world application.
Perspectives
I believe organizations are becoming increasingly successful at making learning attractive, but not necessarily meaningful. AI and gamification can capture attention remarkably well, yet attention alone does not guarantee understanding. What struck me most during this research was the gap between participation and learning. Many employees appeared highly engaged on the surface, yet their experiences suggested that engagement metrics can sometimes create an illusion of learning. When rewards become the primary goal, the learning process itself can become secondary. The future of workplace learning is not about choosing between technology and traditional learning methods. It is about designing systems that combine the motivational strengths of AI and gamification with opportunities for reflection, discussion, critical thinking, and practical application. Organizations should not simply ask, "Did employees complete the training?" They should ask, "Did employees actually learn something that changed how they work?"
C S Karthik Rajan
Lovely Professional University
Read the Original
This page is a summary of: AI and gamification in workplace learning: a qualitative inquiry into shallow vs deep learning, Industrial and Commercial Training, June 2026, Emerald,
DOI: 10.1108/ict-10-2025-0138.
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