Interest in AI Music Declines Sharply Among Young Listeners, Luminate Study Reveals

A recent study conducted by Luminate indicates a significant decline in U.S. consumer interest in AI-assisted music across all age demographics from May 2025 to November 2025. The most notable drop occurred among Generation Alpha and Generation Z, whose interest plummeted from a net negative of 6% to 16% during this timeframe.

Declining Interest Across Age Groups

The findings reveal that overall, U.S. listeners have maintained a net negative interest in music produced with generative AI since the initial survey in May 2025. By November, this sentiment had worsened. Millennials showed the highest willingness to engage with AI-assisted music, while Baby Boomers were the least receptive.

Breakdown of Interest by Age Category

The study provides a detailed breakdown of consumer interest in AI-assisted music across various age groups:

• General Population:

  • May 2025: -13%
  • November 2025: -20%

• Generation Alpha + Generation Z:

  • May 2025: -6%
  • November 2025: -16%

• Millennials:

  • May 2025: -1%
  • November 2025: -7%

• Generation X:

  • May 2025: -16%
  • November 2025: -24%

• Baby Boomers:

  • May 2025: -34%
  • November 2025: -38%

These statistics illustrate a clear trend of declining interest, particularly among younger listeners.

Industry Context and Consumer Sentiment

The November 2025 survey coincided with significant developments in the music industry, as major labels like Warner Music Group and Universal Music Group began forming licensing agreements with AI music companies such as Suno and Udio. Despite these advancements, Luminate’s findings indicate that U.S. consumers generally report negative sentiments toward AI in music creation, regardless of whether it pertains to instrumentals, lyrics, or entirely new works. Approximately one-third of respondents expressed ambivalence toward AI’s role in music.

Consumer Comfort with AI in Music Creation

The study also assessed consumer comfort levels with AI in various aspects of music creation:

• Song Instrumentals:

  • Very comfortable: 10%
  • Somewhat comfortable: 19%
  • Indifferent: 30%
  • Somewhat uncomfortable: 14%
  • Very uncomfortable: 28%

• Song Lyrics:

  • Very comfortable: 10%
  • Somewhat comfortable: 16%
  • Indifferent: 29%
  • Somewhat uncomfortable: 16%
  • Very uncomfortable: 29%

• New Original Songs Composed by AI:

  • Very comfortable: 9%
  • Somewhat comfortable: 15%
  • Indifferent: 30%
  • Somewhat uncomfortable: 14%
  • Very uncomfortable: 32%

• New Original Song Performances by AI Voice:

  • Very comfortable: 9%
  • Somewhat comfortable: 15%
  • Indifferent: 27%
  • Somewhat uncomfortable: 15%
  • Very uncomfortable: 34%

• New Original Songs in the Style of Human Artists:

  • Very comfortable: 9%
  • Somewhat comfortable: 14%
  • Indifferent: 27%
  • Somewhat uncomfortable: 15%
  • Very uncomfortable: 35%

These figures highlight a significant portion of the population that remains uncomfortable with AI’s involvement in music creation.

Trends in AI-Assisted Artists

The study also tracks the rise of AI-assisted artists, such as Xania Monet, Breaking Rust, and Cain Walker. Luminate observed a spike in streaming for certain AI-assisted projects around September 2025, coinciding with the release of Suno’s v5 model, which enhanced song composition and audio quality. However, the data reveals that these projects often experience a rapid decline in listenership after an initial surge of interest.

Case Study: Xania Monet

Xania Monet, an AI project by Telisha “Nikki” Jones, exemplifies this trend. Monet achieved notable success, landing songs on Billboard’s Adult R&B Airplay and Hot Gospel Songs charts. In September 2025, her music garnered over 7 million weekly streams, but by March 2026, this number had dropped to below 3 million. This sharp decline raises questions about the sustainability of interest in AI-assisted music.

Future Implications for AI in Music

As music companies continue to navigate legal challenges with AI firms and establish new licensing agreements, these developments may significantly influence consumer attitudes toward AI in music production. Improvements in AI models could also enhance the quality of outputs, making them more akin to human artistry.

Despite these potential advancements, the Luminate study indicates that the lack of sustained interest in AI-assisted songs presents ongoing challenges in cultivating genuine fandom within this emerging genre.

As reported by www.billboard.com.

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Published on 2026-04-24 22:59:00 • By FAME Delivered News Desk