Abstract
The previous chapters presented detailed case studies of AI adoption in the music industry, focusing on three different stakeholders: a music artist and publisher (Diana Hopeson), a music producer (Stanley Dartey, also known as Paq), and a content creator and dance influencer (Lisa Quama). This chapter provides a comparative analysis of AI adoption patterns among these stakeholders using the MOA framework. By examining the experiences of Lisa, Paq, and Diana, this chapter identifies consistent patterns in their approach to integrating AI tools, highlighting the opportunities AI presents, the abilities developed to use these tools, and the motivations driving their adoption. The analysis of AI adoption among Lisa Quama, Stanley Dartey (Paq), and Diana Hopeson suggests a shift toward the Opportunity-Ability-Motivation (OAM) framework. The OAM framework offers a refined lens to understand AI adoption in the music industry, emphasizing the sequential recognition of opportunities, development of abilities, and sustained motivation. This approach provides a structured pathway for individuals and organizations to effectively integrate AI tools, enhancing efficiency, creativity, and fairness in the industry.
| Original language | English |
|---|---|
| Title of host publication | AI and the Music Industry |
| Subtitle of host publication | Transforming Production, Platforms, and Practice |
| Publisher | Taylor and Francis |
| Pages | 137-149 |
| Number of pages | 13 |
| ISBN (Electronic) | 9781040332580 |
| ISBN (Print) | 9781032978307 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |
| Externally published | Yes |