Photo Credit: David Pupăză
Against the backdrop of continued streaming growth – and an avalanche of AI slop – Spotify’s library now contains a staggering 250 million tracks. But is the platform intentionally leaving the upload floodgates open to benefit its recommendations and accelerate the arrival of authorized derivative works?
That eye-popping total came to light during the company’s Q1 2026 earnings call this morning. By now, many are aware that Spotify’s long claimed to host “over 100 million” songs. In fact, the figure is front and center on the business’s media-relations “about” page.
“Today, more listeners than ever can discover, manage and enjoy over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks on Spotify,” the appropriate text reads. “We are the world’s most popular audio streaming subscription service with 761 million users, including 293 million subscribers, in 184 markets.”
As some will recognize from our Q1 2026 earnings coverage, the page’s user and subscriber numbers have been newly updated. However, with real music and machine-made garbage (emphasis on the latter) pouring onto DSPs, the tracks sum doesn’t come close to telling the full story – at least according to Spotify co-CEO Gustav Söderström.
“When I joined [Spotify], I think the music catalog was about two million tracks,” Söderström said during Spotify’s first-quarter earnings call. “And now it’s something like 250 million tracks. So the growth of the catalog is not new; we think it’s going to keep increasing. And that means that the recommendation problem gets more important for consumers.”
There’s a lot to unpack in these brief remarks, but one key question jumps out: Is Spotify, which has been almost curiously uninterested in labeling (let alone limiting) AI slop, allowing and capitalizing on “catalog inflation” to bolster its recommendations reach?
Given the inherent significance of on-platform recommendations, it sure seems like a possibility. Another: Spotify may be gearing up to take advantage of the situation by compelling proper artists to embrace AI derivatives of their own works.
“But where we think there is a unique opportunity is that right now, existing creators are largely left out of the AI opportunity altogether,” Söderström proceeded. “Many creators are using AI to make new music, but existing creators cannot join.
“That’s because the copyright problem is much more complicated to solve well. And the attribution problem of who should get paid what is much harder. But we love hard problems. So that’s the problem we want to go after. We want to take this opportunity to existing creators as well. With derivatives of existing IP.”
Those comments raise different questions yet. For one, what’s the endgame here? Hosting billions upon billions of tracks plus endless derivatives to boot? How can new and emerging talent, long victim to a raw streaming deal, possibly stand out and build audiences in such an unfavorable digital environment?
Of course, it’ll be some time before concrete answers materialize. Closer to the present, why does there appear to be a discrepancy – and a rather large discrepancy at that – between Spotify’s claimed library size and the actual number of available tracks?
Furthermore, how many of the 250 million tracks did AI pump out, and how many new AI tracks are hitting Spotify daily? Once again, we’ve plenty of questions and few answers. DMN contacted Spotify for comment about its library size but didn’t immediately receive a response.
