Major Labels Propose Rules to Block AI Songs From the Charts Unless ‘Substantially Human-Made’

The Labels’ Proposal for AI-Free Charts

The three global majors – Universal Music Group, Sony Music and Warner Music Group – together with independent label Mom+Pop Music have presented a set of proposed rules to international chart organisations that would effectively ban most AI‑generated songs from official singles and albums charts. The plan, which enjoys the backing of the International Federation of the Phonographic Industry (IFPI), would require a recording to be ‘substantially human‑made’, to use only lawfully trained AI services, and not to raise any stream or chart manipulation concerns before it could appear on a recognised chart.

The move goes well beyond an earlier suggestion from the Recording Industry Association of America, the IFPI and artists’ groups that focused simply on creating standardised labels for AI‑assisted and AI‑generated music. Under the labels’ proposal, almost any track that relied heavily on generative AI would be disqualified, and even those with a limited human hand would need to demonstrate that they comply with every one of a long list of conditions, including clear labelling for consumers.

No chart‑compiling organisation has yet indicated that it will adopt the criteria. The terms ‘substantially human‑made’ and ‘stream or chart manipulation concerns’ remain undefined, and the proposing labels did not immediately respond to requests for clarification. For now, the document serves as a strong signal of intent from the industry’s biggest players rather than an imminent change to what we see on the Billboard Hot 100 or the Official UK Singles Chart.

Why the Big Three Are Drawing a Line on AI Chart Eligibility

The Major Labels’ Core Motivation

The proposal is about control of the chart real estate that translates directly into playlist placements, brand sync deals and touring revenues. Universal, Sony and Warner are moving now because they see generative AI as a cheap, scalable way for entities with no relationship to the traditional music industry to flood streaming services with tracks that could crowd out human artists and – if they were to chart – damage the labels’ negotiating power with platforms. By asking chart organisations to act as gatekeepers, the labels aim to preserve a commercial ecosystem in which the three majors have long been the dominant suppliers of hits.

The Vague Boundaries of ‘Substantially Human‑Made’

A central weakness of the proposal is that no one has yet defined what ‘substantially human‑made’ actually means. A producer who uses AI for stem separation or mastering would almost certainly remain inside the circle, but what about an AI‑generated melody that is later re‑sung by a human artist? The lack of clear metrics leaves massive scope for disputes and could lead to inconsistent application across charts in different countries. The labels appear comfortable with that ambiguity for now; it gives them leverage in later negotiations over the exact thresholds.

Potential Ripple Effects on Streaming and Charts

If a major chart authority such as Billboard or the Official Charts Company were to adopt even a watered‑down version of the rules, digital platforms would immediately face pressure to police the status of every track they deliver to the chart feed. That could mean developing technical detection tools or requiring attestations from rights holders – both of which add cost and friction. More strategically, the proposal ties chart eligibility to the lawfulness of the AI model’s training data, which would effectively force AI music services to secure public, commercial licences from the very labels that now sit across the table. It is a move that uses chart access as a bargaining chip in the much larger war over training‑data rights.

What This Means for Labels, Artists and Streaming Platforms

• For the major labels: The next step is to get at least one influential chart organisation – such as the IFPI or a national chart body – to endorse a pilot version of the criteria. That would create momentum and give the proposal concrete leverage in licensing talks with AI developers.
• For artists and songwriters: Even if the charts do not change overnight, the proposal signals that human authorship is a commercial asset that labels are willing to defend. Artists who rely on AI assistance should start documenting their creative process to demonstrate a substantive human contribution in case similar standards appear in label contracts or streaming platform policies.
• For streaming services: A chart exclusion rule would force platforms to decide whether they want to maintain a single global catalogue or create different, AI‑filtered feeds for territories that adopt the standard. Early engagement with the IFPI and the labels could shape a workable technical standard rather than having one imposed.
• For AI music developers: The proposal makes clear that access to official chart prestige will hinge on licensing the training data. Startups building on unlicensed corpuses should factor in the cost of obtaining rights, because even if no chart rule changes immediately, the threat of exclusion will be used to pressure them into commercial agreements.