The Impact of AI on Playlist Curation in 2026

In 2026, playlist curation has become a battlefield between AI algorithms and human curators. While streaming platforms like Spotify and Apple Music invest heavily in automated recommendations, a new generation of human curators is gaining prominence by offering a personal touch that technology still cannot replicate.

The market for AI-curated playlists is expected to reach US$2.8 billion this year, according to a report by MIDiA Research. Spotify already reports that 65% of personalized playlists are generated by algorithms (Spotify for Artists).

But does the efficiency of algorithms surpass human intuition? And how does this affect emerging artists and musical diversity?

In this article, we will explore the challenges and opportunities of playlist curation in 2026, comparing AI and human curator approaches, and analyzing the impact on the music industry.

The Legal Void of Copyright in Curation

Playlist curation raises complex legal issues, especially when algorithms select songs without human intervention. Who is responsible for copyright violations in AI-generated playlists?

In 2026, most countries still do not have a definitive answer. In the United States, the Copyright Office has already declared that playlists generated exclusively by AI cannot be registered as protected works. However, playlists that combine significant human curation with AI may be eligible.

In the European Union, the 2019 copyright directive does not specifically address AI curation, but there are proposals to require algorithms to disclose their selection criteria, which could impact playlist transparency.

Japan, on the other hand, has adopted a more permissive approach, allowing AI-generated playlists to be registered if there is human "creative control" over the curation process.

Royalties and Compensation in Curation

The issue of royalties is even more complex. If an AI-generated playlist boosts streams of a song, who receives the additional payment?

Currently, streaming platforms like Spotify and Apple Music pay royalties to the rights holders of the songs, regardless of how they were discovered. But this is contested by human curators, who argue that their curation work deserves additional compensation.

Some emerging solutions include:

• Shared royalties: Human curators and algorithms split the earnings generated by playlists.
• Licensing fees: Platforms pay a fixed fee to use curation algorithms, which is distributed among developers.
• Blockchain for tracking: Companies like Audius are using blockchain to record every contribution, from curation to final streaming.

Ongoing Regulation

In 2026, several countries are racing to create specific laws for AI playlist curation.

Brazil: Bill 2338/2023, which regulates artificial intelligence, includes provisions on transparency in recommendation algorithms. The proposal requires platforms to disclose how playlists are generated and offer human curation options.

United States: The "AI Music Act" (2025) proposes the creation of a national registry of AI-generated playlists, with transparency requirements regarding the use of algorithms.

European Union: The AI Act, in effect since 2024, classifies recommendation algorithms as "systemic risk" and requires them to comply with transparency and non-discrimination requirements.

Comparison of Approaches by Country

The Role of Record Labels in Curation

Major record labels are adapting in two ways: some are embracing AI as a curation tool, while others are fighting it in court.

Universal Music Group, for example, has partnered with Spotify to develop personalized AI playlists but has also sued Apple Music for allegedly favoring algorithmic playlists over human curators.

Sony Music, on the other hand, has launched a label dedicated to human curators, with contracts specifying the division of royalties between curators and algorithms.

Ethical and Creative Challenges

Beyond legal issues, AI playlist curation raises ethical concerns.

Originality: If everyone uses the same algorithms, playlists start to sound alike. Human curation is still the ingredient that differentiates a generic playlist from a unique musical experience.

Technological unemployment: Human curators, DJs, and radio programmers are feeling the impact. Demand for traditional curation services has dropped 35% since 2023, according to data from the IFPI (International Federation of the Phonographic Industry, "Global Music Report 2026", available at https://www.ifpi.org/global-music-report-2026/).

Artistic forgery: There are already cases of AI-generated playlists that imitate the style of famous curators without authorization. The debate on musical deepfakes is far from a consensus.

"Human curation is not just about selecting songs; it's about telling stories and creating emotional connections that algorithms still cannot replicate." — Statement from the US Copyright Office at a hearing on AI and music, 2025.

The solution is not to ban the technology, but to regulate its use. Some curators already adopt AI as a support tool, using algorithms to generate suggestions that they later refine with their personal touch.

Conclusion

In 2026, playlist curation is at an inflection point. With a US$2.8 billion market and 65% of personalized playlists being generated by algorithms, the pressure for clear laws only increases.

The future will likely involve a combination of transparency, shared royalties, and mandatory identification of AI-generated content. Human curators and platforms that adapt to this new ecosystem will have a competitive advantage.

The real power lies in the combination: use AI to accelerate music discovery and free up your time for what truly matters — curation, emotion, and connection with the audience. The algorithm suggests. The law defines the limits. You do the curation.

Related Articles

• The Security Crisis of AI Agents in 2026: 30,000 Exposed Instances, 1.5 Million Leaked Tokens, and What It Means for You
• Real-Time Deepfake: The New Threat to the 2026 Elections and How to Protect Yourself
• 63 Days to Avoid €15 Million in Fines: Practical Guide to the EU AI Act Transparency Rules