Survey: How Musicians Use AI (www.landr.com)

A LANDR survey of 1,241 global music makers (Sept 30–Oct 6, 2025) finds AI has moved from novelty to standard toolkit: 87% of respondents now use AI somewhere in their workflow, from mastering and technical production to creative tasks and promotion. Nearly 29% already use song generators—primarily for parts like vocals and instruments—and 40% are curious to try them. Artists most want AI to help with cover art, audience research, analytics and promotional strategy, with over 80% either using or wanting these capabilities. For the AI/ML community this is a signal of both demand and opportunity. Adoption is accelerating—69% of artists increased AI use year-over-year and 90% of those plan to do more next year—creating clear product-market fit for models that handle audio generation, stems, image-to-artwork, metadata analysis and audience modeling. The results also highlight technical and ethical needs: robust multimodal systems, fine-tuning for genre- and instrument-specific realism, and rights-aware training pipelines (LANDR’s Fair Trade AI program is referenced). A growing divide between AI adopters and traditionalists suggests fragmentation in workflows, meaning interoperable tools and transparent licensing will be crucial for responsible scaling across the music ecosystem.