The music-as-asset play was supposed to be boring money. Funds bought song catalogs, collected streaming royalties, and delivered steady returns to investors who wanted exposure to entertainment without the volatility of betting on the next big artist. Then AI-generated tracks started eating into those payouts, and the first criminal streaming-fraud case landed in court.
A new report from Forbes lays out the scale of the problem. Wall Street firms spent years snapping up hit song catalogs, treating them like bonds with a beat. The model worked when streaming revenue kept climbing and human listeners drove plays. But a wave of AI-generated music, much of it designed to game algorithmic playlists, is diluting the royalty pool for legitimate rights holders.
The first criminal case involving streaming fraud made headlines this year. Prosecutors allege that an organized operation used bots and AI-generated tracks to siphon royalties from major platforms. The case is still working through the courts, but it has already forced the industry to reckon with how vulnerable the streaming model is to manipulation at scale.
For investors who paid top dollar for music catalogs, this is more than an inconvenience. The whole pitch was that streaming provided predictable, recurring revenue. If AI tracks can flood platforms and claim a growing share of the royalty pool, that predictability breaks down. Some catalog valuations have already started to reflect the risk.
Meanwhile, the deals keep coming. A BPI-commissioned report from WPI Economics found that 274 commercial AI licensing agreements have been signed across creative sectors as of early 2026. The music industry accounts for a significant chunk of those, with major labels cutting deals with companies like Suno, Udio, ElevenLabs, BandLab, and Splice.
The problem is distribution. Major labels have the leverage to negotiate AI licensing terms. Independent labels and individual artists largely do not. The same BPI survey found that only 16 percent of independent members have even begun exploring AI licensing partnerships, even though 77 percent say they are open to the idea in principle.
That gap matters because the royalty pool is shared. When AI-generated tracks flood streaming platforms, they do not just hurt the majors. Independent artists with modest streaming numbers feel the squeeze first, since their slice of the pie was already small. Adding millions of AI tracks to the same pool dilutes everyone’s share.
The Featured Artists Coalition and 29 other organizations recently published an open letter calling for a consent-first approach to AI music licensing. Their argument is straightforward: labels and publishers should not be able to sign away artists’ work for AI training without clear terms on revenue sharing and creative control.
For the finance side, the question is whether streaming platforms can police AI content effectively enough to protect the asset model. Spotify, Apple Music, and others have started removing AI tracks and tightening upload verification, but the volume is enormous and the incentives for fraud remain strong. Until the platforms solve the detection problem, investors in music catalogs are holding assets with a leak in the value proposition.