AI Music Gets Its Own Charts

AI Music charts will feature the Top 100 AI Songs and Top 100 AI Cover Songs 28/01/26


On January 30th, The Sonic Intelligence Academy (SIQA) will debut the world's first AI Music charts: the Top 100 AI Songs and Top 100 AI Cover Songs. These new weekly rankings are designed specifically to track the performance and cultural impact of AI-generated music. The charts aim to establish a dedicated space for AI-created works, distinct from traditional artist charts, at a moment when the role of AI in music is rapidly evolving and widely debated.

A spokesperson told us, "The launch comes amid growing debate over AI-generated music competing directly with human artists. Many artists and industry leaders, from Kehlani's remarks on The Breakfast Club to broader industry discussions, calling for clearer distinction and accountability. Recent attention on unlabelled AI acts, such as Sienna Rose's rapid rise on Spotify and amplification by Selena Gomez, highlights how AI-generated music can slip into mainstream charts without transparency. SIQA's AI Music Top 100 charts aim to address this gap by providing a dedicated system to track AI-generated music, offering clarity and accountability at a moment when the lines between human-made and GenAI music are increasingly blurred."


Here's the press release from SIQA...

The Sonic Intelligence Academy (SIQA) Launches Dedicated Charts for AI-Generated Music

The SIQA AI Music Top 100 and Top 100 AI Covers debut January 30, 2026, creating a new standardized way to track and recognize trending AI-generated music.

As AI-generated music continues to gain new listeners across streaming, video, and social platforms, the industry lacks a trusted framework to recognize success, set ethical boundaries, and bring clarity to what's actually resonating with audiences. As debates around chart eligibility, disclosure, and fairness intensify, both music industry leaders and AI music creators have called for clearer standards and recognition. The Sonic Intelligence Academy (SIQA) was established to fill that gap by creating structure, clarity, legitimacy, and transparency in this emerging creative category.

As a first step in this process, SIQA is launching the SIQA AI Music Top 100 and Top 100 AI Covers, weekly charts built specifically for AI-generated music. These charts are designed to track and assess the top AI songs resonating throughout today's music landscape, providing a dedicated framework for measuring AI music on its own terms.

The SIQA charts will spotlight AI-created tracks gaining meaningful traction across streaming, video, and social platforms, along with airplay. AI music creators will be able to submit eligible releases through SIQA's submission system, similar to how artists submit work for traditional chart consideration.

To power these charts, SIQA uses consistent guidelines to determine what qualifies as AI-generated music, verifying and evaluating each entry through a proprietary in-house review process designed to support transparency, integrity, and ethical standards. By establishing dedicated standards and visibility for AI-generated music, SIQA seeks to reduce confusion across the broader music industry, allowing this new category to be evaluated on its own terms alongside existing chart systems. Rather than positioning AI music as a replacement for traditional artistry, SIQA recognizes it as a distinct creative medium that warrants its own standards and systems of recognition. At the same time, SIQA believes both human-led and AI-assisted works deserve space to be recognized and celebrated for what they are.

SIQA has also established clear eligibility and ethics standards to ensure integrity in chart participation. Chart-eligible tracks must be transparently created, properly attributed, and must not use cloned or simulated voices of real public figures, living or deceased, or misrepresent the identity of artists or performers.

Beyond weekly rankings, SIQA's charting framework is designed to build a growing, structured data reference for how this category evolves as the ecosystem matures.

As licensing frameworks, attribution technology, and ethical standards continue to develop industry wide, AI-generated music is emerging as a distinct creative category. SIQA exists to support that evolution responsibly, recognizing innovation while respecting human artists and audiences alike.

Charts are only the beginning. SIQA plans to roll out several initiatives building out a broader ecosystem that will support both traditional artists and the AI music creator community to define this new music-tech realm through education, research, partnerships, and cultural initiatives focused on ethical AI music creation, collaboration, and literacy.

Founded independently by artists, technologists, designers, and developers, SIQA brings together deep technical knowledge with a creator-first perspective. The organization operates independently of major music labels, DSPs, and AI companies, positioning itself as a neutral, standards-focused institution for one of the fastest-developing parts of the music business.

The SIQA charts will debut on January 30, 2026.

thesiqa.com/charts

About The Sonic Intelligence Academy (SIQA)
Founded in 2025, The Sonic Intelligence Academy (SIQA) is a standards-driven organization focused on advancing ethical, transparent, and responsible AI-generated music. By combining data analysis, cultural insight, and creator advocacy, SIQA provides new systems for recognizing and contextualizing AI-powered musical works. Its inaugural initiatives include the SIQA AI Music Top 100 and Top 100 AI Covers, breakout weekly charts dedicated exclusively to AI-created music.

More information: The Sonic Intelligence Academy

Source; https://sonicstate.com/news/2026/01/28/ai-music-gets-its-own-charts/

 

Now they only need some Artificial Audience.

 

fake followers and fake plays fit perfectly

 

As far as I know you can't copywrite music created the AI way so I guess The Sonic Intelligence Academy will make all the money.

 

However, the real problem is the people who will not own up to using AI, or even be questioned. Or have to even answer if anyone asks. That's been the real AI ethics problem the entire time. People complaining they care about training data from copyright infringed sources are almost never those whose music has actually been used for influence anyway. People like Morgan Freeman or Laurence Fishburn getting their voices cloned into tv commercials for car dealerships are the ones who have a real complaint.

Consider this. How is it possible your song, which you made almost no money from and sold like 50 copies on some nearly fantasyland internet-only "record label", all of a sudden get used as training data that morphs into some successful track? If you can't explain that part it's ok, because the real answer is it doesn't and never will.

This is actually going to put the real major labels in more control, not less. It's perfectly fine, to them; that someone with a major label deal will use AI for stuff and there will be no pushback at all. You are David Guetta and want to use Eminem cloned vocals? He gets a phone call about it. No problem. If someone else does the exact same thing; DMCA requests fly, cease and desist letters arrive, and hope you have a good attorney. One without a Youtube channel or a 1-800-Lawyer ad posted at bus stops.

Although to be fair, NI Kontakt really changed music when they enabled people to make music using stuff they could never actually make (or even sample) on their own. Somehow, everyone is fine with that.

So now we will have music charts with those who can use anything they want, and those who can't; just like the musical Olympic Games. The other ones.

 

Last edited: Jan 30, 2026 at 10:00 PM

If it has enough "human input" it can be. But yah, if someone releases a 100% full AI song, it is not eligible for copyright. Ive actually been thinking of taking somebodys successful AI song, downloading it, and releasing it. Just as a social experiment

For the most part yah, I agree with you, most people do not have to worry about their songs being ripped having any major influence. There is the middle ground tho as well. For example, a few artists I have produced for are moderately successful. 5-10 million spotify streams on their lead singles. Niche but engaged and fanatic audience, etc. I was able to come within 80-90% recreation of one of their songs using Suno. Even the vocal delivery and timbre / tone came very close. There are a lot of these middle ground artist out there. Successful in niche communities. Millions of streams, established brands just not superstars.

 

I equate deliberately listening to AI music with eating Soylent Green. At the very least someone is making an effort to keep the Soylent Green away from the the microwave lasagna (current music charting), and that's a win in my books.

This is a last ditch effort to give 'slop' some semblance of a human touch. In 2020, I predicted in a post here (which I’ve conveniently forgotten the title) that AI media would become synonymous with poor taste and execution. That is exactly what we are witnessing. It won't be long until the hype vanishes for good, leaving nothing but meaningless charts and internet clubs.

 

Well they can stick that right up their Aiholes.

 

That's the problem. You aren't going to know. Ask any sample instrument developer how well "watermarking" has worked out for them as anything but a scare tactic. Keep in mind also, that most sane producers would do the cost benefit analysis of sinking 30 million dollars into a Jennifer Lopez record or 30 grand for a machine that can do generative AI locally, with no-ones "watermark technology" or any clue they did it.

If you think they aren't going to do that, you are way more trusting of these people than I am. The audience for major label garbage are never going to know or care. These people I mean were never making anything on their own in the first place, so no-one bothered to care how they did it. Now we will have a culture of only the priviledged nepo babies who are "allowed" to use whatever is cheaply available, while you decide if you want your new guitar to have been manufactured in Mexico or Viet Nam.

 

Last edited: Jan 30, 2026 at 10:57 PM