AI-generated music has made its way onto the charts, and the musicians employing it are no longer keeping it a secret.

      The American rapper Tyga has acknowledged that artificial intelligence was responsible for creating the retro synth sounds on his latest album. Timbaland has introduced an entirely AI-generated pop star, and a machine-assisted summer hit has already made it onto the Billboard Hot 100. Generative music has entered the mainstream, and artists utilizing it have mostly stopped pretending otherwise.

      Tyga's ninth album, the '80s-themed “$tarface,” relied on AI to produce its era-specific synths, though the rapper asserts he wrote the lyrics and performed the vocals himself. He regarded it as just another studio tool, comparing it to the introduction of Auto-Tune, a technology that was once criticized but is now ubiquitous. However, not everyone agrees with that comparison.

      He is not alone in this trend, as Timbaland has launched an “A-Pop” initiative called Stage Zero and has signed its first artist, TaTa, characterized as “a living, learning, autonomous music artist constructed with AI.” Grimes has allowed fans to create songs using a licensed clone of her voice in exchange for a share of the royalties for years, and even Nick Carter from the Backstreet Boys has employed AI for videos. In contrast, the AI pop star Tilly Norwood has accumulated hundreds of thousands of views despite never existing as a real person.

      The critics have not held back in their responses. Pitchfork gave “$tarface” a 0.0 rating—the lowest score in years—remarking that the minimal effort put into the album indicated that the profit margins must be remarkable. Doja Cat publicly criticized Tyga for its release, and the broader reaction on social media to his disclosure was quick and negative. However, while some see it as a tool, others view it as a deception.

      Beneath these disputes lies a significant concern over labor. The music created needs to be trained on something, typically the recorded works of human artists who were never consulted, as highlighted by a hack of the AI generator Suno, which exposed millions of collected songs. This same concern led Hollywood's writers and actors to strike, and it is central to the debate over whether a synth sound created by software constitutes a shortcut or a theft.

      The legal system is just beginning to address these issues, with a recent German court ruling that Suno violated copyright—a first in Europe—and similar lawsuits are accumulating on both sides of the Atlantic. Until these legal challenges are settled, artists like Tyga are essentially conducting a live experiment to see what audiences and courts will ultimately accept.

      Additionally, there are issues regarding transparency. A viral band on Spotify was revealed to be AI-generated without any indication on the platform, and several acts admitted to using the technology only after initially denying it. The industry currently lacks a standardized method to label machine-generated music, which leaves listeners uncertain, making Tyga's honest admissions more of an exception than the norm.

      The magnitude of what is unfolding may be more significant than any individual album. Streaming services are being inundated with AI-generated tracks uploaded at such a rapid pace that no human catalog could match it, and all of these compete for a limited amount of listening time and royalties.

      For working musicians, the more subtle threat posed by these celebrity experiments is not merely that a star engages with AI, but that an unending supply of inexpensive, mediocre songs progressively diminishes the value of their own creations. In just two years, AI music has transitioned from a novelty to a presence on the charts, backed by well-known artists and detested by a vocal segment of the audience, while the financial, legal, and cultural aspects remain unstable. The Auto-Tune analogy might eventually be appropriate, but it's important to remember that Auto-Tune didn't learn from other singers without prior consent.