Key highlights
81% of AI music creators collaborate with AI tools rather than fully automating; only 19.2% of submissions were fully AI-generated.
R&B/Soul accounts for 31.7% of all AI music submissions and holds 57.1% of Top 10 chart positions, making it the dominant genre.
Suno powers 90.4% of commercially released AI tracks, with no other platform exceeding 4%.
The Sonic Intelligence Academy (SIQA) published the first verified AI music intelligence report on April 15, 2026, covering Q1 data from 1,551 submissions by 828 artists across 57 countries. Before this report, no verified dataset of AI music creators existed. Here are 9 findings every music creator and industry professional should know.
1. R&B dominates AI music at the chart level
R&B/Soul commands 31.7% of all submissions to the SIQA AI music charts . Pop follows at 12.4%, then Hip-Hop/Rap at 10.9%, Rock/Alternative at 10.7%, Country at 9.9%, and Gospel at 8.7%.
The chart-level data is where the story sharpens. R&B holds 41.4% of verified chart positions and 57.1% of Top 10 slots. That’s a +25.4 point overperformance from submission share to Top 10.
AI music tools like Suno excel at melodic, vocal-driven content where lyrics, emotion, and vocal delivery carry the track. R&B is a natural fit for those strengths. If you’re a songwriter exploring AI tools, the data says vocal-first genres are where audiences respond strongest.
2. 81% of creators collaborate with AI, not automate
SIQA uses a three-tier classification framework: AI-Assisted (48.4%), Human + AI Hybrid (33.0%), and Fully AI-Generated (19.2%). That means 81% of creators in this dataset are meaningfully involved in the creative process.
They write lyrics, direct vocal performances, arrange compositions, and use AI as one tool within a human-led workflow. The report states: “Blanket ‘AI-generated’ policies misclassify the majority of the category and risk real harm to real creators.”
This three-tier taxonomy may be the framework the industry needs for rights determination, especially as the IFPI 2026 AI findings flag AI’s growing impact on royalty structures.
3. Suno owns 90.4% of AI music creation
9 in 10 AI productions in SIQA’s submission pool used Suno. No other platform comes close. ChatGPT appeared in roughly 19.5% of workflows (primarily for lyrics), BandLab at 3.6%, and ElevenLabs and Udio each below 1%.
For context: Suno hit $300M in annual recurring revenue in February 2026 with 2 million paid subscribers, generating roughly 7 million tracks per day. Understanding Suno’s output is now synonymous with understanding AI music at the chart level. (For a hands-on comparison, see our best AI music generators roundup or the detailed Suno v5.5 review .)
A critical nuance: Udio’s submissions were likely created before the platform implemented its “walled garden” policy restricting users from downloading, owning, or monetizing their music. That policy change locked Udio out of the commercial AI music space.
4. Gospel is the highest-converting genre
Gospel/Christian music represents 8.7% of submissions. In two separate chart weeks, Gospel tracks claimed 9 of the Top 20 positions.
Compare this to Hip-Hop/Rap: 10.9% of submissions but only 1.0% of chart positions, a -9.9 point underperformance. Creators are submitting Hip-Hop, but audiences aren’t engaging with it at scale.
Why Gospel? Faith-based communities tend to be highly engaged and loyal listeners. The emotional sincerity AI vocal tools produce maps well to devotional content. And Gospel communities may be less concerned with the “authenticity” debates that slow adoption in other genres.
5. A Houston Gospel artist held #1 for 7 weeks
Thompsxn Therapy, a Gospel artist from Houston, Texas, achieved 7 consecutive weeks at #1 on the SIQA Top 100 AI Songs chart. That’s not a viral spike. It’s sustained momentum: over 405,000 monthly Spotify listeners and over 1.1 million plays on Audiomack by the end of Q1.
Olivia B. Moore climbed from #10 to #2 over 5 weeks, the strongest organic rise in the dataset. Her track “Love Notes” demonstrated audience development curves that labels traditionally spend millions to manufacture. Across 9 chart weeks, 28 unique artists appeared in the Top 10, with 39% holding positions for 3 or more weeks. These are AI artists building real streaming traction , not one-off novelties.
6. Female artists lead the AI music charts
Female-presenting artists hold 37.2% of all chart positions vs. 35.2% for male-presenting artists. In the most recent full chart week (March 31), women held 70% of Top 10 positions (7 out of 10 slots). Female Top 10 representation grew from 2 slots in Week 2 to 7 slots in Week 9.
The report notes this finding “has no precedent in traditional chart data.” Of the 9 artists who charted in all 9 full chart weeks, 5 are female-presenting. The most charted female artist, Xania Monet, had 3 simultaneous entries in a single chart week and became the first AI music artist to appear on a mainstream Billboard airplay chart.
AI music tools may be removing gatekeeping barriers: no studio time to negotiate, no A&R bias to overcome, no industry connections required. Track the top 10 AI artists by earnings to see how streaming revenue is developing.
7. AI music spans 57 countries across 6 continents
The United States dominates at 68.3% of submissions. The UK and Canada follow at 5.4% each. Germany at 3.2%, South Africa at 2.1%, Australia at 1.2%.
The Sweden case study sharpens the point. Swedish AI artist Jacub accumulated over 6 million Spotify streams with “Jag vet, du är inte min” and reached #1 on Sweden’s Spotify chart. Then he was banned from IFPI Sweden’s official charts after journalists revealed the track was AI-generated. On SIQA’s chart, the same track peaked at #2 and charted for 4 weeks. Two chart systems, two opposite responses to the same music. Platforms building AI music strategies without international data are working with an incomplete picture.
8. DistroKid handles 75.8% of AI music distribution
3 in 4 commercially distributed AI tracks in SIQA’s dataset went through DistroKid. TuneCore follows at 4.7%, CD Baby at 2.1%.
DistroKid accepts AI music with mandatory disclosure. Creators declare AI involvement during upload, and the platform runs automated detection on all submissions. CD Baby categorically rejects AI-generated content, which partly explains its low share. The distributor you choose determines your access to the commercial AI music pipeline. For the broader platform picture, see our breakdown of AI music streaming rules 2026 .
9. Grammy winners are entering the AI music charts
Eric Bellinger, a Grammy-winning R&B songwriter behind hits for Usher, Chris Brown, and Trey Songz, appeared on the SIQA chart at #88 as a featured artist, classified as AI-Assisted. Imogen Heap charted at #76 with “Aftercare” under her AI Mogen project, classified as Human + AI Hybrid.
Heap spent years building ai.mogen, a bespoke vocal model trained on recordings from throughout her career. She turned down corporate offers to maintain control and described spending hundreds of hours refining the output to make the AI voice “sound nice.”
When Grammy winners voluntarily classify their AI-assisted work and submit to AI music charts, the boundary between “traditional music” and “AI music” is dissolving. The industry assumed AI music was hobbyists and technologists. The data shows established artists are already participating.
What SIQA’s classification framework means for the industry
The current industry approach to AI music is largely binary: it’s either “AI” or “not AI.” That binary is failing. Apple Music launched Transparency Tags in March 2026, Spotify adopted the DDEX standard, and Deezer deploys proprietary detection. None of those systems come from the creator community.
SIQA’s three-tier framework (AI-Assisted, Human + AI Hybrid, Fully AI-Generated) is built on self-disclosure, verified by human review, and designed to protect creators who use AI as a tool. With the UMG v. Suno fair use ruling expected in summer 2026 and the EU AI Act’s transparency obligations in effect, classification is the central policy question. SIQA launched these charts as an independent body, with no backing from major labels, streaming platforms, or AI companies.
828 artists. 57 countries. 1,551 tracks. Commercially distributed and actively streaming. The data exists now. The question is whether the industry engages with it.
Frequently asked questions
What is the SIQA AI Music Intelligence Report?
The SIQA AI Music Intelligence Report is the first verified dataset of AI music creators, published in April 2026 by the Sonic Intelligence Academy. It covers 1,551 submissions from 828 artists across 57 countries, collected over 9 chart cycles between January 30 and March 31, 2026. All data is creator-disclosed and human-verified.
What genres dominate AI music charts in Q1 2026?
R&B/Soul leads with 31.7% of submissions and 57.1% of Top 10 chart positions. Gospel/Christian music is the highest-converting genre, holding 21.2% of chart positions from only 8.7% of submissions. Hip-Hop/Rap underperforms, with 10.9% of submissions but only 1% of chart slots.
What percentage of AI music in Q1 2026 is fully AI-generated?
Only 19.2% of tracks in SIQA’s dataset are fully AI-generated. 48.4% are classified as AI-Assisted (human-directed with AI tools enhancing output), and 33% are Human + AI Hybrid (collaborative, equal parts human work and AI generation). 81% of creators are meaningfully involved in the creative process.
Which AI music platform in Q1 2026 do most creators use in?
Suno powers 90.4% of commercially released AI tracks in the SIQA dataset. ChatGPT is used by roughly 19.5% of creators (primarily for lyrics and songwriting). BandLab, ElevenLabs, and Udio each account for less than 4%.
How do you distribute AI music to streaming platforms? (Q1 2026 data)
75.8% of AI tracks in the SIQA dataset are distributed through DistroKid according to Q1 2026 data, which accepts AI music with mandatory disclosure. TuneCore handles 4.7%, and CD Baby (2.1%) categorically rejects AI-generated content. Your choice of distributor determines whether your AI music reaches Spotify, Apple Music, and other platforms.
Are female or male artists leading AI music charts in Q1 2026?
Female-presenting artists lead with 37.2% of all chart positions vs. 35.2% male across Q1 2026 chart weeks. In the most recent full chart week, women held 60% of Top 10 slots (6 out of 10). Of the 9 artists who charted in every weekly cycle, 5 are female-presenting. The SIQA report notes this has “no precedent in traditional chart data” and challenges the assumption that AI music is a male-dominated space.
Which countries are producing AI music in Q1 2026?
SIQA’s Q1 2026 dataset spans 57 countries across six continents. The United States leads at 68.3%, followed by the United Kingdom (5.4%), Canada (5.4%), Germany (3.2%), Australia (2.1%). South Africa leads African representation. 32% of all submissions came from outside the US, making AI music a genuinely global phenomenon.
Are established music industry artists using AI tools in Q1 2026?
Yes. Grammy-winning R&B songwriter Eric Bellinger charted on the SIQA Top 100 at #88 as a featured artist on “Influence” by Aries Ivory, classified as AI-Assisted. Imogen Heap charted at #76 with “Aftercare” under her ai.mogen project, classified as Human + AI Hybrid. Their presence in Q1 2026 data signals that AI music is no longer limited to hobbyists and technologists — established industry professionals are participating and choosing transparency.
How is AI specifically used in music production according to Q1 2026 data?
Based on SIQA’s March 2026 submission data (N=717), AI is used for vocal generation (66.2% of tracks), music composition (64.3%), lyrics and songwriting (40.3%), mixing and mastering (19.8%), arrangement (15.3%), and other applications (3.4%). Most creators use AI across multiple stages of production — percentages exceed 100% because a single track often involves AI in more than one area.
What does chart longevity look like for AI music artists in Q1 2026?
AI music is producing sustained careers, not just viral spikes. In Q1 2026, Gospel artist Thompsxn Therapy held #1 for 7 consecutive weeks — the first AI music chart dynasty. Olivia B. Moore climbed from #10 to #2 over 9 weeks, the strongest organic rise in the dataset. Across 9 chart cycles, 28 unique artists reached the Top 10, with 39% holding chart positions for 3 or more weeks. Nine artists appeared in every single chart week.
What is the SIQA classification framework for AI music?
SIQA uses a three-tier classification system based on creator self-disclosure, introduced alongside their Q1 2026 charts. AI-Assisted means human-directed creation with AI tools enhancing output. Human + AI Hybrid means the artist uses AI to clone and reproduce their own voice — the vocal performance is AI-generated, but the voice model is derived exclusively from the submitting artist themselves. Self-voice cloning is the defining characteristic of this tier. Fully AI-Generated means end-to-end machine generation with human curation.
