AI will not affect every part of music equally. Background music is especially exposed because many uses are functional: fill silence, support a scene, create a mood, and avoid licensing friction. When a task is simple and repeated often, generation becomes attractive.
Stock music libraries may feel pressure at the low end. If a creator only needs a short cafe loop or study beat, generating one may be faster than searching. But high-quality curated libraries still matter when users need proven tracks, stems, human composition, or legal guarantees.
Custom scoring will also change. Some clients may use AI for drafts and references before hiring composers. Composers may use AI to explore directions faster. The value may move toward taste, arrangement, editing, mixing, supervision, and the ability to finish a piece that actually serves the story.
For small creators, AI reduces friction. A person who would never buy a music license for a tiny project may now make a usable track. That expands the market rather than simply replacing existing purchases. The important question is whether the service can keep rights and quality clear enough for real use.
BGMFREE is positioned in this functional layer. It should not pretend to replace musicians. It should solve a practical problem: give people clean, usable, public background music quickly, while building a library and prompt system that gets better over time.