Artificial Intelligence, Technological Discontinuities, and the New Music Business

Frederik Glarbo

Student thesis: Master thesis

Abstract

The music industry has experienced significant transformations due to technological advancements, with these changes having democratized music production and leading to an unprecedented influx of new music being published daily on digital streaming platforms. This abundance of content poses a challenge for Artists & Repertoire (A&R) professionals responsible for identifying and developing new talent. Artificial Intelligence (AI) has emerged as a potential solution to this challenge, offering the ability to efficiently sift through vast amounts of music and discover hidden talent. By leveraging AI-powered filtering engines, major record labels are able to utilize advanced analytics to mine platforms like Spotify and SoundCloud for unsigned artists. However, the integration of AI in talent scouting raises questions about job displacement, data privacy, and the impact on the creative process. This research paper aims to explore the perspectives of A&R and music industry professionals regarding the use of AI in talent scouting. By conducting qualitative interviews with professionals in Nashville, a major hub for the music industry, insights will be gained directly from their experiences. The study will investigate strategies and actions that organizations can adopt to effectively navigate and respond to technological disruptions in talent scouting through AI integration. It will also identify the key capabilities and resources required to exploit opportunities arising from AI integration in talent scouting. Additionally, the potential challenges and ethical considerations associated with the adoption and implementation of AI in talent scouting will be examined. The findings of this research will contribute to a comprehensive understanding of AI's potential impact on talent scouting in the music industry. It will shed light on the advantages and limitations of AI, while also informing future developments in talent scouting practices.

EducationsMSocSc in Management of Creative Business Processes , (Graduate Programme) Final Thesis
LanguageEnglish
Publication date15 May 2024
Number of pages78
SupervisorsMark Lorenzen