Trends
Real-time insights from approved AI disclosures on the platform + verified AI-in-music reports.
Last updated:
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Approved disclosures
0
Live from user submissions
Top genre (by volume)
—
Based on disclosure genres
Unique tools seen
0
From AIInvolvement metadata
Avg transparency score
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From TransparencyScore
Genre breakdown
Distribution of disclosed genres across approved submissions.
No genre data yet.
AI tool usage
Tools disclosed via AIInvolvement (metadata).
No tool disclosures yet.
Transparency score trends
Average TransparencyScore over time (by release_date).
No transparency scores yet.
Research (creator-side)
How musicians are using AI (LANDR)
Quantitative adoption + motivations/concerns, based on the LANDR report.
Key stats
LANDR — How Musicians Use AI (survey)
87%
Creators using AI
69%
Using more AI than last year
90%
Plan to use more AI
29%
Currently use song generators
Why creators use AI
Top reported benefits (% of respondents)
Source: LANDR — How Musicians Use AI
What creators worry about
Top reported concerns (% of respondents)
Source: LANDR — How Musicians Use AI
What creators want generators to help with
Most requested generation targets (% of respondents)
Source: LANDR — How Musicians Use AI
Research (listener-side)
How listeners feel about AI-made music (Bain)
Consumers are much more tolerant of “AI as a tool” than “AI as the artist.”
Key stats
Bain — Media Consumption Survey (2025)
62%
US consumers less likely / wouldn’t engage with AI-generated music
AI tolerance depends on the use-case
More interested / equally interested / less interested (%)
Source: Bain — “In an AI Age, People Still Want the Radio Star”
Industry Spotlight — Verified AI-in-Music Insights (2025)
Last updated:
- • The global AI-in-music market is projected to exceed US $6 billion by 2025. Around 60% of musicians now use AI tools for mastering, composing, or creating artwork. Source: SimpleBeen (2025)
- • Generative AI music tools are expanding at a 25–30% compound annual growth rate (CAGR). Source: MarketsandMarkets
- • The most commonly cited benefits of AI in music: speed, cost reduction, and workflow automation — but the top concerns remain ownership, consent, and attribution. Source: IFPI