The data in this report reflects SIQA's verified mid-year 2026 submission pool and does not represent the entirety of AI music being created, released, or consumed. It is a portrait of a specific, verified cohort of AI music creators who submitted to SIQA's charting system during this period.
Intelligence
1,743 verified submissions from 886 unique artists across 54 countries, spanning 20 complete chart cycles. All data is first-party, creator-disclosed, and tied to real commercial activity.
Leading The
Charge
Emotional songwriting
still leads the movement
R&B/Soul has held its position as the dominant submission genre across both reporting periods, accounting for 32.0% of mid-year submissions. Its consistency across two data windows is itself a signal: this is not a momentary clustering. It is the sonic identity of AI music's most active creator cohort.
The more significant story is Gospel. At 8.1% of Q1 submissions, it was already the category's biggest chart overperformer. At 14.0% of mid-year submissions, it has nearly doubled its submission share — suggesting that the audience response documented in Q1 is now actively recruiting new Gospel creators into the ecosystem.
The headline shift: Gospel's submission share nearly doubled from Q1 to mid-year (8.1% → 14.0%), making it the fastest-growing genre in the SIQA dataset. Hip-Hop slid from 11.8% to 7.1% in submissions — and remains the category's most significant chart underperformer. That tension is the defining unresolved story of 2026.
A Prompt
The human role in AI music is growing, not shrinking
Artist type is self-reported at submission. Artists are declared as either a solo act or a group.
The most significant shift in creator identity from Q1 to mid-year is in the classification breakdown. Fully AI-generated submissions dropped from 19.2% to 13.9% — a meaningful decline. AI-Assisted climbed from 48.4% to 51.7%, and Human + AI Hybrid rose from 32.4% to 34.4%.
The direction is clear: as the ecosystem matures, creators are leaning further into human creative contribution, not less. The self-voice cloning tier in particular — representing artists who use AI to reproduce their own voice — continues to grow as one of the most creatively distinct categories in the SIQA framework.
86.1% of mid-year submissions involve meaningful human creative contribution. Only 13.9% of submitted AI tracks were fully machine-generated. The remaining 86.1% represent artists using AI as an instrument, bringing their own creative vision and directing the output.
Generation
Tool Breakdown
were powered by Suno
Suno: The Tool Leading the Category
No tool dominance story in music history looks quite like this. Suno dominated the mid-year submission pool, appearing in 92.8% of submitted tracks, up from 90.4% in Q1. In a period where the broader tool landscape was expected to diversify, Suno's grip on the category strengthened.
Among Q1 submissions, ChatGPT appeared in roughly 1 in 5 creator workflows, used primarily for lyrics and music composition. In mid-year, that figure moderated to 16.3%, suggesting creators are increasingly finding Suno's native capabilities sufficient for their full workflow.
mid-year submission pool
US-Led,
Globally Represented
The United States accounts for 67.1% of mid-year submissions, maintaining its position as the dominant source of AI music in the dataset. The remaining 32.9% spans 53 other countries across six continents.
The mid-year international story has two headline movements. The United Kingdom climbed from 5.4% to 7.5% — the largest proportional international gain in the dataset. Australia entered the top 5 for the first time at 2.3%, displacing Nepal. Spain emerged as a new entrant in the top 10, signaling growing European presence beyond Germany and the Netherlands.
Nigeria doubled its share from 0.5% to 1.1%, making it the fastest-growing African market in the dataset.
The UK is the international story of mid-year 2026. At 7.5% of submissions, the UK is now the second-largest contributor by a meaningful margin over Canada (5.7%). The category's international growth is accelerating, not plateauing.
Distribution
Landscape
used DistroKid
The distribution
platform choices are
becoming more defined
Among mid-year submissions with distributor data, DistroKid accounts for roughly 3 in 4 distribution relationships — up from 75.8% in Q1 to 77.6%. Its dominance is not eroding. It is growing.
DistroKid's 77.6% share among AI music creators is a signal worth paying attention to. It reflects a creator class that values accessibility and simplicity, and a platform that has not closed its doors to AI-generated or AI-assisted music. In a space where distribution policies are still being defined, DistroKid's openness has made it a popular platform of choice for AI music's earliest adopters.
& Breakouts
20 complete Top 100 chart cycles. All charting pattern data is drawn from the SIQA Top 100 AI Songs — our global chart. SIQA also publishes dedicated genre charts for R&B/Soul, Country, and Gospel, with more genre charts rolling out soon.
R&B in the
Top 10
first ten weeks vs. last ten weeks
over the same two windows
back half: 14% of submissions,
25% of Top 10 slots
The Gospel dominance
is not a Q1 anomaly
Across all 20 mid-year chart cycles, R&B/Soul held 44% of Top 10 slots and Gospel 19% — close to Q1's 40% and 20%. But the full-period average hides a reversal. In the first ten weeks (April 7 – June 9), R&B/Soul filled seven of every ten Top 10 slots; Gospel filled one. From Week 22 (June 30) onward, Gospel held more Top 10 positions than R&B/Soul in six of the final eight cycles, closing the period at three of ten for three straight weeks.
Gospel's submission share nearly doubled from 8.1% to 14.0%, and its chart presence grew with it: Gospel tracks in the Top 100 rose from 11 in Week 10 to a peak of 18 in Week 23, matching R&B/Soul for the first time. "DON'T PLAY WITH ME" by Thompsxn Therapy anchored the genre for the entire period, but the Gospel #1 changed hands twice in August — Nyqki Nicole's "Girl, I Am Anointed" gave way to Thompsxn Therapy, then to Delana Hope's "I Speak Blessings," which jumped from #48 to #4 on the Top 100 in three weeks.
Country followed a similar arc at smaller scale, tripling its Top 10 share from 6% to 18% between the two halves on the strength of Dust & Harmony's "You Problem," and reaching a period-high 12 tracks in the Top 100 in the final week. The slots that Gospel and Country gained came almost entirely from R&B/Soul, whose Top 10 share fell by more than half — and from a growing set of tracks outside the three genre charts, which held four of the Top 10 in each of the final three weeks, including the #1 song for the entire second half.
Gospel is the highest-converting genre in the SIQA ecosystem for the second consecutive reporting period. A genre with 14% of submissions took a quarter of the Top 10 in the back half of the year, while R&B/Soul's 32% of submissions produced the same 25%. Gospel has moved from overperforming to leading.
& Breakouts
April 1 – August 20, 2026
debuted at #1 on the SIQA Top 100
A Major Label
Arrives at #1
The mid-year period produced a first: a Warner Music artist debuted at #1 on the SIQA Top 100 AI Songs chart. The Second Voice became the first major-label-affiliated AI music artist to reach the top position in SIQA's verified chart history — a signal that the category has the attention of the institutions that have historically defined commercial music success.
Equally significant: Tyga and Fenix Flexin both charted during the mid-year period — established mainstream artists whose presence on the SIQA chart confirms that the line between "AI music" and "commercial music" is no longer as clear as the industry once assumed.
These arrivals are not coincidental. They are the direct result of a category that has spent two reporting periods building verifiable audience relationships, consistent chart patterns, and a formal infrastructure that established industry players can enter with confidence.
The industry has arrived. A Warner Music #1. Tyga on the chart. Fenix Flexin charting. The mid-year period is the moment AI music stopped being a category the industry was watching and became one it was participating in.
Female Presence
at the Top
female-presenting artists
to close the mid-year period
The female chart
presence is structural,
not incidental
A note on methodology: The following analysis reflects the observable vocal presentation of AI artist personas, assessed through publicly available artist names, artwork, and music, not the gender identity of the human creator behind the project. These are two distinct data points. SIQA tracks vocal presentation as part of understanding the AI music cultural landscape.
What Q1 introduced as a finding, mid-year confirms as a pattern. Female-presenting artists have maintained consistent Top 10 representation across 20 chart cycles. The female vocal — frequently AI-generated — has continued to be the dominant sonic identity of AI music's most commercially successful tracks.
In a category where vocals are frequently AI-generated, the female AI vocal has emerged as the dominant sonic identity of AI music's most commercially successful tracks — confirmed across both Q1 and mid-year 2026.
Building
Careers
August 20, 2026
The mid-year period
produced AI music's
first sustained careers
Across 20 complete Top 100 chart cycles, a cohort of artists demonstrated sustained, multi-week chart presence — the clearest signal of real audience relationships in the dataset. Chart durability requires more than a strong debut. It requires consistent audience engagement week over week.
Has Entered
The Chart
There is a prevailing assumption that AI music is being made by people outside the music industry. The mid-year data tells a different story — and a louder one than Q1.
Contrary to popular belief, the movement to embrace AI in the traditional music industry is growing and has extended well beyond a single artist or producer. In the mid-year period, established mainstream artists and a major label artist charted on the SIQA Top 100 AI Songs — changing the category's profile permanently.
The Second Voice became the first Warner Music-affiliated AI music artist to reach #1 on the SIQA Top 100 AI Songs chart — and the first major-label AI artist to top the SIQA chart in its verified history. The debut signals that major label infrastructure has begun engaging with AI music not as a threat to manage, but as a category to enter.
Tyga's chart appearance in the mid-year period continued the mainstream crossover story that began with his publicly confirmed AI music activity on $tarface. His presence on the SIQA Top 100 AI Songs is the latest signal that established commercial artists are not just experimenting with AI — they are releasing it, charting it, and building audience relationships with it.
Fenix Flexin's mid-year chart appearance adds another established name to the growing list of mainstream artists engaging directly with AI music creation and distribution. His presence alongside Tyga in the same reporting period underscores that this is not isolated activity — it is a wave.
Mainstream Artists.
One Reporting Period.
In Q1, two Grammy-recognized artists appeared on the SIQA Top 100 AI Songs chart. In mid-year, a major label artist debuted at #1 and two established mainstream artists charted. The pace of industry arrival is accelerating. The question is no longer whether the traditional music industry will engage with AI music. It is how fast.
SIQA's taxonomy is the first publicly available, creator-disclosed AI music classification framework.
The Future of
AI Music
The mid-year 2026 data confirms what Q1 introduced: AI music is a growing, documented ecosystem with its own artists, genres, distribution patterns, and audience relationships. 1,743 tracks. 886 artists. 54 countries. 20 chart cycles. The dataset is not getting smaller.
The tool landscape strengthened, not fragmented. Suno's share grew from 90.4% to 92.8% despite expectations of diversification. The next major tool shift will likely come from outside the current field — a new entrant rather than a reshuffling of existing tools.
The major label era of AI music has begun. The Second Voice at #1, Tyga and Fenix Flexin on the chart — the mid-year period is the moment the traditional industry stopped watching and started participating. The conversations happening at labels, DSPs, and publishing companies about AI music policy will now be informed by real chart data for the first time.
Self-voice cloning is the frontier to watch. The Human + AI Hybrid tier grew from 32.4% to 34.4%. As more established artists explore AI reproduction of their own voice, this tier will define the most legally and creatively complex conversations in the industry.
The international story is accelerating. The UK at 7.5%, Nigeria doubling its share, Australia entering the top 5, Spain emerging as a new presence — the category's global footprint is expanding faster than the domestic growth rate.
The AI music distribution landscape is taking shape. DistroKid's 77.6% share signals not just a platform preference but a policy stance. In a space where distribution policies are still being defined, the platforms that have remained open to AI music are winning the creator relationship.
The Q1 2026 SIQA AI Music Intelligence Report was SIQA's first. This is the second. Each reporting period, the dataset grows, the patterns sharpen, and the picture of this new class of artistry comes into clearer focus. The infrastructure is built. The data is running. The category is here.
Methodology
The data in this report reflects SIQA's verified mid-year 2026 submission pool and does not represent the entirety of AI music being created, released, or consumed. It is a portrait of a specific, verified cohort of AI music creators who submitted to SIQA's charting system during this period.
We publish our methodology, eligibility standards, and scoring formula on our website. SIQA uses a 50/50 scoring model: 50% Streams and Airplay + 50% Social Impact.
Chart Score = (Streams & Airplay × 0.5) + (Social Impact × 0.5)
This ensures balance between listening reach and cultural reach. Streaming data is sourced through a proprietary data partnership and processed via SIQA's proprietary chart scoring system.
All charting pattern data in this report reflects performance on the SIQA Top 100 AI Songs, SIQA's global chart. Since Q1 2026, SIQA has additionally launched dedicated genre charts for R&B/Soul, Country, and Gospel, with more genre charts rolling out soon.
Data window: April 1 – August 20, 2026.
Chart cycle: Friday–Thursday scoring window. Charts published every Tuesday.
Classification: Artist type is self-reported at submission. Artists are declared as either a solo act or a group. Track classification (AI-Assisted, Human + AI Hybrid, Fully AI-Generated) is self-disclosed by the submitting creator under the SIQA Classification Framework.