The Denominator Problem

Start with supply, because it's the only number in this story that's growing without anything holding it back.

Luminate counted 106,000 new tracks delivered to streaming services every day in 2025. That's up 7% from 99,000 a day in 2024, which was itself a small dip from 103,000 a day in 2023. The rate isn't a smooth escalator. It dipped once, then jumped harder than the dip. By the close of 2025, streaming services were holding 253 million individual tracks, identified by ISRC, up from 202 million at the end of 2024 and 184 million at the end of 2023.

Most of that pool goes unheard. Of the 253 million tracks that existed at the end of 2025, 88% (about 224 million) were streamed 1,000 times or fewer for the entire year. Nearly half, 120.5 million tracks, landed at 10 streams or fewer. Flip to the other axis, measured by volume instead of track count, and songs sitting between 1 million and 50 million streams account for 49.4% of all global listening: the actual backbone of the industry. At the very top, only 29 tracks worldwide crossed 1 billion streams in 2025, two fewer than in 2024.

Now the demand side, or at least the part of it visible enough to rank.

If new supply were actually turning into new listening, the charts would look like a rotating door. They don't. Luminate's 2025 year-end numbers show that only 43% of U.S. on-demand audio streams came from music released in the previous five years, 2021 through 2025. The other 57% went to something older. A year earlier, Luminate's separate current-versus-catalog measure, which draws the line at 18 months instead of five years, put catalog's share of total U.S. album consumption at 73.3%, up from 72.7% in 2023. Different thresholds, same direction: the older your definition of "new," the smaller its share keeps getting.

Billboard felt this directly enough to change its own rulebook. Through most of 2025, the loudest chart story wasn't a new song. It was old ones that wouldn't leave. Hits from Benson Boone, Shaboozey, and Teddy Swims that first climbed the top ten in 2024 were still sitting there a full year later, alongside a fresh wave of catalog songs from Coldplay, Lorde, and Charli XCX pulled back into rotation by streaming and short-form video.

Effective with the Hot 100 dated October 25, 2025, Billboard shortened the thresholds that push a descending song into recurrent status. The old rule dropped a song once it fell below No. 25 for 52 weeks or below No. 50 for 20 weeks. The new rule adds two earlier checkpoints: below No. 5 after 78 weeks, below No. 10 after 52 weeks, on top of the existing No. 25/26-week and No. 50/20-week triggers. Billboard's own explanation cites a multi-year analysis of song trajectories. A simpler read: the weekly snapshot of what's new had started to look more like a leaderboard of what already won, and somebody had to reset the clock.

The chart data only makes sense once you look at how listening itself happens.

IFPI's global listener survey puts the average person at 20.7 hours of music a week, spread across seven or more distinct methods. Audio streaming is the single largest slice at 32% of listening time, with video platforms like YouTube and TikTok close behind at 31%. Most of that time isn't spent actively choosing a track. It's spent inside a playlist, a radio mix, or a feed that somebody, or something, already assembled. For a growing share of listeners, discovering a song and consuming it have become the same action.

Discovery itself is now almost entirely mediated. Short-form video in particular has turned into a pipeline that runs backward as often as forward: Luminate reported that 36% of U.S. rock fans discovered new music through short-form video in 2025, and a large share of what that pipeline surfaces is a decades-old song getting a second life through a fifteen-second clip, not a fresh release.

This is the actual mechanism behind Section 02's numbers. A recommendation system optimizing for completion rate and watch time has no reason to favor an unproven new track over a song it already knows keeps people listening. Familiarity is a measurable engagement signal. Novelty is a guess. Every system involved defaults to the safer bet, and the safer bet is almost always something that already charted once before.

Put supply, charts, and listening habits together and the income numbers stop being surprising.

Spotify pays out somewhere between $0.003 and $0.005 per stream, averaging close to $0.004 once country, subscription tier, and that month's total pool are factored in. At that rate, an artist needs roughly 3.75 million streams a year, about 312,000 a month, just to clear the U.S. federal minimum-wage equivalent of $15,080. Fewer than 1% of artists on Spotify clear $10,000 a year from streaming royalties alone.

That doesn't mean the money isn't real. In 2024, independent artists and labels collectively earned more than $5 billion from Spotify, close to half of everything the platform paid out that year, and more than 71,000 artists cleared $10,000 or more. The money exists. It's just distributed the same way the streams are: concentrated at the top of an enormous, mostly silent pool, with the vast majority of the 253 million tracks from Section 01 earning close to nothing.

Here's the mechanism in one dial. Global on-demand audio streaming produced roughly 5.1 trillion streams in 2025, close to 14 billion a day. If every one of those streams were divided perfectly evenly across every track that exists, this is what a single track would earn. Drag the sliders. This isn't a prediction. It's the floor a genuinely fair division would produce, which the real distribution doesn't come close to.

Four numbers, one mechanism. Supply is growing at 7% a year with no ceiling in sight, because uploading a track costs almost nothing and nobody is required to listen to it. Attention isn't growing anywhere near that fast. People still have 24 hours in a day, and IFPI's own multi-year tracking shows listening hours climbing in small single digits, not double digits. A royalty pool funded by subscriptions and ad revenue grows on a similarly modest curve. Divide a slow-growing pool by a fast-growing denominator and the per-track number can only move one direction.

That mechanical fact feeds the chart behavior directly. When most new tracks are close to a statistical guarantee of underperforming, every actor with a choice, a playlist editor, a recommendation model, a casual listener with limited time, rationally leans harder on what's already proven itself. That's not a conspiracy against new music. It's what happens when the cost of a wrong bet rises and the number of bets on the table explodes at the same time. Catalog doesn't win because it's better. It wins because it's already a known quantity in a market drowning in unknowns.

None of this requires generative AI to explain it. The mechanism was visible in Billboard's own catalog data years before Suno or Udio had any real listener footprint. Which is exactly why AI gets its own section instead of getting blamed for the whole story.

AI music belongs in this piece. It just doesn't belong at the center of it.

Deezer, the only major platform that publicly tags AI-generated uploads, reported receiving roughly 75,000 fully AI-generated tracks a day by April 2026, about 44% of everything uploaded that day. That's up from 50,000 tracks a day, 34% of uploads, just five months earlier in November 2025. Whatever fraction of Section 01's 106,000-a-day figure you want to credit to generative tools, it's large and growing fast. That's a real, measurable supply-side effect.

What it isn't, by the same disclosure, is a demand-side effect of similar size. Deezer's data shows AI-tagged tracks accounting for only 1–3% of actual streams on the platform, and the company flags 85% of whatever plays those tracks do get as fraudulent activity, demonetized rather than paid out. UMG's chief executive used his year-end memo to warn that a business model rewarding raw stream volume, regardless of who or what generated it, was encouraging the flood rather than filtering it. Spotify says it removed more than 75 million spam tracks over the course of the year.

Put plainly: right now, generative AI is a denominator problem, not a chart problem. It makes Section 01's number bigger and Section 05's math worse, without meaningfully changing what people actually choose to play. The catalog dominance in Section 02 predates the generative-music boom by years. What AI does add is pressure on the payout side. Every fraudulent or unheard AI track sitting in the pool gives platforms one more reason to raise minimum-play thresholds and tighten monetization rules, and those rules apply to every small, legitimate artist in the pool right alongside the noise. AI isn't stealing the spotlight from new human artists. It's raising the cost of being visible at all, for everyone.

None of this is an argument that new music is dying, or that people have stopped caring about it. Streaming volume is still growing. Live music is growing faster. People are listening to more music, in more ways, than at any point on record. What's dead, or close to it, is the idea that releasing more often, by itself, is a viable path to being heard.

The math in Section 05 isn't going to reverse on its own. Barring a structural change in payout thresholds or a genuine shift in how attention gets allocated, the honest forecast is more concentration, not less, especially as the cost of generating another track keeps falling toward zero. That doesn't mean quitting. It means treating a stream count as a discovery signal instead of an income plan, and building whatever direct relationship with an actual audience a denominator this large can't touch.

I went deeper on where that value is actually moving, superfans, live, B2B licensing, in The Liquid Economy of Sound, if the strategic side of this is what you came here for.

• Music Business Worldwide: "Quarter of a billion tracks now sit on streaming services"
  Source for daily upload rates 2023–2025, the 96.2%/3.8% independent-versus-major upload split, and the UMG year-end memo on AI slop.
• Music Ally: coverage of Luminate's 2025 Year-End Music Report
  Source for total 2025 streams, total tracks in existence, and the track-count distribution across streaming tiers.
• AP News: "Music streams hit 5 trillion in 2025"
  Source for the 43% figure on U.S. streams from music released in the last five years.
• Music Business Worldwide: Luminate 2024 Year-End Report coverage
  Source for the 72.7%/73.3% catalog share of total U.S. album consumption.
• Billboard: "Older Hits Will Now Drop Off the Hot 100 Faster"
  Source for the October 2025 Hot 100 recurrent-rule changes and thresholds.
• Billboard: "Trending on Billboard," mid-2025
  Source for 2024 hits lingering into 2025's top ten and the year's resurgent catalog entries.
• Billboard: "Catalog Hits Were Soaring on the Charts"
  Source for the "Die for You" and "Sure Thing" catalog chart histories.
• Deezer Newsroom: "AI-generated tracks now represent 44% of all new uploaded music"
  Source for the daily AI-upload figures, the 1–3% share of streams, and the 85% fraud-detection rate.
• IFPI: Engaging with Music / Global Music Report
  Source for weekly listening hours, method-of-listening shares, and algorithm-driven discovery trends.

Per-stream payout figures ($0.003–$0.005, averaging near $0.004) and the independent-artist Spotify earnings figures are a synthesis of publicly published royalty explainers current as of mid-2026, since Spotify does not publish an official flat per-stream rate. Treat them as directional, not exact. The Attention Split tool above is a simplified model built for illustration: it assumes a perfectly even division of streams that does not exist in reality, by design, to make the actual concentration visible by contrast.