AI Music and the Death of New Genres: Why It’s Time to Reinvent the Format

TeraMuse TeamJuly 08, 2025

AI Music and the Death of New Genres: Why It’s Time to Reinvent the Format

The Velvet Sundown – a mysterious psychedelic rock band with no human members – recently amassed over half a million Spotify listeners in just a few weeks1. The group’s two debut albums appeared almost overnight, landing on dozens of user playlists and even Spotify’s own Discover Weekly algorithm1. But the twist is that this “band” is widely suspected to be the creation of generative AI – from the music and lyrics down to the album art and even the lifelike band photos2. In other words, The Velvet Sundown may not be a real band at all, just the product of software. Its sudden success has raised alarm bells in the industry about authenticity, transparency, and what it means for human musicians in an era when AI can churn out songs on demand.

AI in Music: Copying the Past, Flooding the Present

Thanks to advances in generative AI, creating music is no longer the exclusive domain of skilled artists. Powerful tools like Suno and Udio – dubbed “the two titans” of AI music generation – can produce astonishingly good music tracks from nothing more than a basic text prompt3. These systems excel at mimicking existing styles, producing studio-quality music that sounds convincingly human4. What they cannot do, however, is truly innovate. As many observers note, AI-generated music tends to replicate and remix rather than invent.

This dynamic has supercharged quantity at the expense of originality. According to industry analysis, over 120,000 new tracks are uploaded to streaming platforms every day, meaning more music is released in a single day now than in the entire year of 19895. Yet, more music does not equate to better music. Critics argue the industry is drowning in an oversaturated market where it’s harder than ever for unique voices to emerge6.

When an AI Band Goes Viral

The rise of The Velvet Sundown exemplifies this new reality. With 850,000+ monthly listeners, this AI-created act achieved reach that many real indie bands can only dream of1. Critics describe the music as eerily “inoffensive” – pleasant filler rather than groundbreaking art2. And because Spotify and similar platforms do not require artists to disclose AI involvement, The Velvet Sundown seamlessly integrated into the algorithmic ecosystem2.

The success of AI bands raises questions about how much space remains for authentic human creativity in a landscape increasingly populated by algorithmically generated content. This risk of algorithmic feedback loops – where platforms recommend AI-generated music because it performs well, which encourages the production of even more – threatens to further homogenize the soundscape.

No New Genres, No New Thrills

One telling symptom of the current creative stagnation is the lack of genuinely new genres. From rock & roll to hip-hop to EDM, each era of the 20th century introduced disruptive new styles. But today’s charts largely recycle past sounds, leaning on nostalgia and formulaic production7. Recent years have seen more interpolation, sampling, and rehashing than genuine innovation.

Why? Many blame the homogenizing effects of streaming algorithms, which reward tracks that conform to established playlist formulas7. Meanwhile, listeners, overwhelmed by choice, gravitate to familiar styles. This has created a vicious cycle where bold experimentation is discouraged and safe, predictable music dominates7.

An Industry at a Crossroads: Crisis of Format

All of this points to a deeper issue: not just a genre crisis, but a format crisis. For over a century, music consumption has revolved around a static format: fixed recordings played back passively. While the medium evolved (vinyl to CD to streaming), the format itself hasn’t.

This raises a critical question: in an interactive, dynamic digital age, why is music still static? Streaming playlists organized by mood or activity hint at a shift from genre-based to use-case-based thinking – but even these are still collections of unchanging tracks.

It’s time to rethink what music can be. Instead of endlessly remixing the past, the industry could embrace adaptive, generative formats that respond to the listener and the moment.

Adaptive Music: A New Frontier of Creativity

Imagine music that changes as you listen – a personalized soundtrack that adapts to your mood, environment, or actions. Adaptive music does exactly that. Unlike a conventional song which is identical every time, an adaptive composition rearranges itself in real time based on data or user input.

This concept already powers video game soundtracks, which shift dynamically with gameplay. It’s now moving into real life. Luxury carmaker Bentley, for example, collaborated with an adaptive music startup to create an in-car soundtrack that composes itself live based on how the person drives8. Meanwhile, wellness apps like Endel generate real-time soundscapes tailored to a listener’s heart rate, location, and activity9.

Adaptive music opens creative doors by moving beyond genre boundaries and embracing music as experience, not just product. The possibilities include:

  • Personalized wellness soundtracks
  • Immersive VR and AR soundscapes
  • Biofeedback-driven environments that respond to emotions or biometric data
  • Smart home soundtracks that shift with the day’s rhythm

This shift invites artists and technologists to collaborate on new creative frontiers. Instead of copying past styles, adaptive formats empower innovation by creating ever-evolving, listener-driven experiences.

Embracing a Brave New Musical World

If the music industry feels like it’s reached a dead end – bogged down by AI-generated fluff and a lack of fresh ideas – the solution is not to find the next genre but to reinvent the format itself. Adaptive, generative music suggests a path forward: a future where technology enables creativity rather than replaces it.

Such a shift won’t be easy. Audiences and business models will need time to adapt. But the hunger for something new is there. In a world where more music is released in a single day than in all of 1989, the old paradigms are no longer sustainable5.

By embracing adaptive music and the creative opportunities it offers, the industry can break free of the genre graveyard and usher in a bold new era of truly dynamic, interactive sound.


Sources


  1. Vaziri, Aidin. “Suspected AI band Velvet Sundown hits 550K Spotify listeners in weeks.” SF Chronicle, June 30, 2025.
  2. Bogost, Ian. “Nobody Cares If Music Is Real Anymore.” The Atlantic, July 4, 2025.
  3. Powell, Nigel. “I tested Suno vs Udio to crown the best AI music generator.” Tom’s Guide, April 30, 2024.
  4. Ruppert, Peter. “Is Music Innovation Slowing Down? The Creativity Crisis in the Modern Music Industry.” PeterRuppert.com, February 4, 2025.
  5. Crowd React Media via Mixmag. “More Music Released In A Single Day in 2024 Than The Entirety of 1989, Study Shows.” Weekly Roundup, November 25, 2024.
  6. Will Page. “The Streaming Boom’s Hidden Problem.” Music Business Worldwide, 2024.
  7. Ruppert, Peter. “The Creativity Crisis in the Modern Music Industry.” PeterRuppert.com, February 4, 2025.
  8. HT Auto Desk. “Bentley partners with LifeScore for ‘adaptive music’ in cars.” Hindustan Times, June 26, 2021.
  9. Deahl, Dani. “Warner Music signed an algorithm to a record deal — what happens next?” The Verge, March 27, 2019.