I hate that I don’t hate this song made with Suno

The market implication is not “AI music is good or bad,” but that low-cost generation increases supply faster than demand, which usually shifts value from creators to whoever controls distribution, curation, and rights enforcement. In that setup, platforms with recommendation engines and large catalogs gain pricing power, while mid-tier artists and small labels face more compression in discovery and bargaining leverage.

The second-order effect is that AI makes catalog economics more important, not less. If synthetic tracks flood the system, the scarce asset becomes verified rights, provenance, and trust, which favors incumbent licensors and publishers that can monetize training data or voice rights. That creates a structural tailwind for major rights owners over 6-18 months, but only if courts and platforms converge on a workable licensing regime.

Near term, the real risk is not consumer rejection; it is a policy or litigation clampdown that turns AI music into a compliance problem for distributors. Over 1-3 months, watch for platform rule changes, takedown waves, or settlement headlines — those can reverse enthusiasm quickly. If no regulatory friction appears, the more likely outcome is slower, less visible margin erosion for human-made long-tail content rather than a dramatic re-rating of the sector.