Human-Centered Artificial Intelligence and Future Workforce Learning: The Mediating Role of Digital Belongingness in Human–AI Collaboration among Generation Z

The rapid advancement of Artificial Intelligence (AI) has transformed workplace environments by reshaping how employees collaborate, learn, and develop future competencies. However, successful AI implementation depends not only on technological capability but also on how AI supports human psychological needs and digital experiences. This study aims to examine the influence of Human-Centered Artificial Intelligence (HCAI) on Future Workforce Learning (FWL) among Generation Z employees by investigating the mediating role of Digital Belongingness (DB) in human–AI collaboration. A quantitative approach was employed using a survey method involving 200 Generation Z employees who had experience using AI-based technologies in work or learning activities. The collected data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that Human-Centered Artificial Intelligence has a significant positive effect on both Digital Belongingness and Future Workforce Learning. Furthermore, Digital Belongingness significantly influences Future Workforce Learning and mediates the relationship between Human-Centered AI and Future Workforce Learning. These results highlight that AI adoption should move beyond automation by emphasizing human-centered design, inclusion, and psychological connection. The study contributes to Human–AI Interaction literature by demonstrating that employees’ sense of belonging in digital environments plays a crucial role in transforming AI experiences into continuous learning capabilities. Practically, organizations should develop AI-enabled workplaces that balance technological advancement with human values to prepare a future-ready workforce.