Music Business News: "Only 3% of adults can tell the difference between AI-generated music" Deezer uploads 50,000 AI-generated songs per day

Music Business News: "Only 3% of adults can tell the difference between AI-gener

Date and Background

• Date: November 20th

• Socio-economic background: AI and semiconductor-related stocks are rising. The tech market is booming following NVIDIA's financial results.

• Music industry context: Interest in AI-related topics is high. Reference article: Musicman.net "Only 3% of adults can tell the difference between AI-generated music and real music. Deezer uploads 50,000 AI-generated songs per day."

Key facts from the Deezer survey

• Survey period and subjects:

  • Period: October 6th to 10th

  • Countries included: USA, Canada, Brazil, UK, France, Netherlands, Germany, Japan

  • Target: 9,000 adults (aged 18-65) (6,791 of whom were music streaming users)

• Blind test results:

  • Questions: 2 AI-generated songs + 1 human-produced song

  • Indistinguishable: 97% of songs cannot be distinguished between AI and human songs

  • Discomfort: 52% were uncomfortable with not being able to distinguish

• Awareness of labeling and regulations:

  • 80%: Music generated solely by AI must be clearly labeled as "AI-generated"

  • 70% believe that fully AI-generated music threatens the livelihoods of current and future musicians

• Streaming behavioral intentions:

  • Wanting to be rid of: 45% of music streaming users want to be rid of fully AI-generated music

  • Playback behavior: 40% intend to skip fully AI-generated music

• Content trends on the platform (Deezer announcement):

  • Fully AI-generated music per day: Over 50,000 songs (approximately 34% of all uploads)

  • Trends: 18% in April → 28% in September → Expanded to 34% as of November 12th

Important Topic: AI Classification and Current Gradient

• Fully AI-generated (e.g. Suno, Soundraw, AIVA, etc.):

  • Growth and quality improvement of generation software is remarkable

• Human-produced in a DAW but powered by AI algorithms:

  • Examples: Loopcloud recommendations, iZotope's automated mixing and mastering

  • Reality: 80-90% of modern music production involves AI algorithms on the backend

• Completely human-powered, no AI involved (performing and recording from scratch)

• Perspective:

  • The middle gradation area is broad, and although AI is involved in everyday life, it tends to be left out of discussion.

  • Discomfort tends to be directed towards "fully AI-generated"

Changes in generational views and cultural acceptance

• Adults (smartphone-first generation): Preference for real music is relatively strong

• Children's Generation (Transition to AI First):

  • Example: Reaction to AI-generated music in a car

    • The children responded immediately to the quality of the songs and joined in the chorus, placing emphasis on experience.

    • When they are told that the song was made by AI, they show a momentary reaction of disgust, but continue to accept it as a good song.

  • Implications: There is a growing trend to prioritize the experience value over the origin of music

Conclusion/impressions

• Near-future outlook:

  • AI involvement in the production process will expand further in the next 0.5 to 1 year

  • In the next 2-3 years, the preference for "AI or humans" will weaken, and lifestyle values such as convenience and experience will take priority.

• Value Shift:

  • Creative has gone through a cycle of destruction and regeneration, and the use of AI has become the norm

  • The rare value of the zero-to-one "art" field (physicality, skill, story) is increasing

  • In particular, the value of "live performances" will increase (physical performances and singing, sharing a space, and community building).

• Examples (sports metaphors):

  • Technology provides speed and efficiency (bullet trains and airplanes)

  • Still, there is enthusiasm and value in competitions that challenge the limits of humankind.

  • AI is sufficient for everyday music listening, but live experiences create value through humanity, stories, and community

Industry impact and implications for indies

• Live Industries:

  • Sales are expected to recover and exceed pre-COVID levels

  • However, the benefits tend to be concentrated among top artists

• Indie Artists:

  • The competitive environment may become more severe as AI advances

  • The key is to utilize technology to improve productivity and separate the art from the story

  • "IP (content and thoughts)" and stories of human motivation and challenge are the most important points for revenue and monetization

Specific examples and suggestions

• Production side:

  • Streamlining routines with AI-assisted tools, focusing on zero-to-one expression and live experiences

• Display/Transparency:

  • Clearly stating that the content is "AI-generated" is necessary for listener peace of mind and choice (80% of survey respondents supported this)

• Fan Community:

  • Cultivate your community with live and exclusive content to expand networking and relationship building

Music Business News: "Only 3% of adults can tell the difference between AI-gener

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