The Capacity of AI (Substitute and Complementary) in the Music Industry: Prediction Based on Musical Experience and Familiarity Level

The development of artificial intelligence (AI) has led to debate regarding its ability to replace or complement the role of human musicians. This study examines how musical experience and familiarity with AI predict approval of AI as a substitute or complementary musician. A total of 220 participants from various musical backgrounds completed a Likert-scale questionnaire. Regression results showed that familiarity with AI significantly predicted approval of AI as both substitute (β = 0.688, R² = 0.397) and complementary (β = 0.509, R² = 0.250), while musical experience was only significant in the substitute model. These findings emphasize the importance of technological literacy in shaping attitudes towards AI. It is recommended that creative industry players adapt to AI without losing their identity, and future research develop measurement tools and consider other psychosocial variables.