A recent survey of 1,525 musicians, conducted by Water & Music in partnership with Moises, reveals that 78% of professional musicians now incorporate AI into their workflows, compared to 60% of hobbyists. The data indicates a strong bias toward utility, with 71% of AI users leveraging stem-separation technology while only 24% engage in generating full songs. Furthermore, pricing models show robust monetization potential, as 21% of professional users are willing to pay over $50 monthly for these capabilities. It is worth noting that approximately 80% of the sample consisted of existing Moises users, potentially skewing adoption metrics toward stem-separation familiarity.
This data underscores a critical market reality: professionals view AI primarily as a high-value assistive tool rather than a replacement for human composition. As firms like OC&C categorize the market into AI-assisted, AI-generated, and deepfakes, the monetization advantage clearly lies in premium B2B SaaS models targeting the workflow efficiency of working creators.
Curated by MusicResearch.com from Music Ally. Read the full article at: Moises and OC&C publish new reports exploring AI music trends
