You open Spotify, find an irresistible song, and yet the artist's name is completely unknown to you. Is it an emerging band or a creation of artificial intelligence? This question is no longer trivial: for most listeners, the line between the human and the synthetic has become blurred. With generators like Suno and Udio reaching surprising levels of quality, music catalogs are filling up with tracks whose origins are increasingly difficult to trace. In this context, Spotify has announced new policies to address three key challenges: low-quality content ("slop"), impersonation, and transparency in the use of AI. The goal: to protect artists and ensure that the public does not feel deceived, while not closing the door to responsible use of these technologies. In a matter of months, AI music generators have gone from being technical curiosities to tools capable of producing thousands of songs ready for streaming platforms. We are not talking about masterpieces, but about tracks that just meet the minimum to bulk up massive catalogs. The result is an avalanche of music that makes it difficult to distinguish between authentic proposals and simple algorithmic experiments. For labels and artists, this saturation not only confuses listeners but also threatens to dilute revenues in a system where every play counts towards royalty distribution. Spotify's new rules regarding AI-generated music Spotify frames its measures within a clear premise: music has always evolved alongside technology, from multitrack recordings to Auto-Tune. The current difference is the speed and reach of artificial intelligence, which introduces uncertainty and new challenges. Therefore, the platform seeks to reinforce transparency and listener trust while respecting artists' creative freedom to decide how to integrate AI into their process. One of the most delicate points is impersonation. Spotify is tightening its policies and banning any song that uses an artist's voice without their explicit consent, including AI-generated vocal clones, deepfakes, and any unauthorized imitation. Additionally, in collaboration with distributors, it is implementing measures to prevent music from being uploaded to other people's profiles, a practice that is becoming increasingly common. The goal is for musicians to be able to quickly report and maintain control over their artistic identity. The second front is spam. Spotify has detected attempts to manipulate the system through the mass upload of songs that are barely 30 seconds long or the repetition of tracks with minimal variations in metadata, thus seeking to inflate plays and obtain undue payments. To combat this, the platform will deploy filters that will identify and stop recommending this type of content. In the past year, Spotify removed 75 million fraudulent tracks, and the company insists that these measures are essential to protect fair royalty distribution. The third key piece is transparency. Spotify is collaborating with DDEX, the organization that defines metadata standards in the music industry, to create a system that clearly indicates the role of AI in each song. Thus, credits can specify whether artificial intelligence has been used in the voice, instruments, or production, allowing listeners to know exactly what they are hearing. Fifteen labels and distributors have already adopted this standard, although there is still no official launch date. The true impact of these policies will be seen over time. For artists, the reinforcement against impersonation and spam can translate into a more equitable environment to compete for attention and revenue. For listeners, the promise is a more transparent experience, with clear information about the use of AI in music. However, doubts remain about the effectiveness of automatic detection systems and the industry's ability to adapt uniformly and swiftly. It is likely that Spotify will continue to adjust its policies following this announcement. The effectiveness of the filters and the adoption of the new standards will depend on the collaboration of the entire industry. AI will continue to evolve, and with it, new challenges will arise for control systems. In this scenario, Spotify will need to demonstrate that its measures not only curb abuses but also reinforce listener trust and the value of artistic work.