The rapid advancement of AI has transformed how listeners discover and interact with music, especially through AI-driven streaming services that offer personalized recommendations. Despite music’s significant role in shaping emotions and enhancing mood, there is limited research on how AI tools’ perceived ease of use (PEOU) and perceived usefulness (PU) impact positive emotions and trust. This study explores these relationships by surveying 242 music streaming users and applying Structural Equation Modelling-Partial Least Squares analysis. The findings show that both PEOU and PU significantly influence perceived positive emotions, which in turn affect trust in AI-based tools. These insights link technological acceptance with emotional outcomes, highlighting the importance of emotional responses in fostering trust and satisfaction with AI. Practically, these results can guide the design of more user-friendly and emotionally engaging recommendation systems. Future research should examine demographic factors and the long-term effects of sustained AI interactions on emotions and trust in music streaming services.