How AI Is Changing Music Discovery and Royalties

How AI finds music you might like

You ask for music for a morning run, a quiet evening, or a long drive, and a playlist appears in seconds. That ease is one side of a larger change in music streaming royalties, because the tools that help you find a song also shape which songs get heard, and hearing is the first step toward payment.

Music streaming royalties are payments linked to the use of recorded music and songs on streaming services. This article explains how AI helps listeners find music, how the payment pool is divided, why the same number of plays can lead to different amounts, and where AI-made artist identities fit in.

AI, in this setting, means software that learns from patterns in data. A streaming service can look at songs you played fully, songs you skipped, songs you saved, and the time of day you listened. It can also look at features of the songs themselves, such as tempo, mood, and style, and at what listeners with similar tastes chose next. That mix lets a service build a playlist from a plain-language request, such as calm music for reading or upbeat music for exercise.

This is useful, and it has a clear limit. A recommendation is a guess based on past data. It can narrow your taste if you always accept the first suggestion, and it can miss music that does not fit a neat pattern, such as a new sound from a small scene. A good habit is to treat a playlist as a starting point. Save the tracks you like, follow the artists behind them, and search by artist name or album when you want to go beyond the suggestion.

For artists, discovery works in a similar way, but from the other side. A track needs clear, correct information attached to it: the artist name, the song title, the writers, and the recording owner. If that information is wrong or missing, listeners may struggle to find the track again. Good metadata, a plain word for the data that describes a recording, is therefore part of the work, not an afterthought.

Music streaming royalties: how streamshare works

A royalty pool is the pot of money in a market, in a month, that is set aside for rightsholders. A rightsholder is a person or company that owns rights in a recording or a song. Spotify explains its method, called streamshare, in simple arithmetic. Take the number of times a rightsholder’s music was played in one country in one month. Divide that number by the total number of plays in that country in that month. The result is that rightsholder’s share of that country’s royalty pool for that month.

Spotify gives a clear example. If your music is 0.1% of all streams in Mexico in a month, you get 0.1% of Mexico’s royalty pool for that month. The pool itself is based on subscription and advertising money raised in that market.

Spotify also puts the scale in context, at the time of writing. In 2025, artists who accounted for 1 in every 1 million streams on Spotify generated over $11,000, on average. That figure was about $1,000 in 2014. The same page notes that more than 400,000 songs were streamed more than a million times in 2025 alone, and that hearing all of them, one after another, would take more than 2.5 years of nonstop listening. Those figures show why a single play has no fixed price: the pool is divided by share, measured against that month’s total in that market.

Why the same number of streams can lead to different pay

Two artists can each reach one million streams and still receive different amounts, and that is not a mistake in the maths. It follows from three steps that sit between a play and a payment. First, the market matters. A stream in a market with strong subscription income sits in a larger pool than a stream in a market where income is lower. The month matters too, because the pool and the total number of plays change from month to month.

Second, the money does not go straight from the service to the artist. Spotify pays rightsholders, and those rightsholders then pay others under their own agreements. A signed artist may be paid by a label. An independent artist may be paid by a distributor, which is a company that delivers music to streaming services and passes on the recording share, less its fee or percentage. Songwriters and publishers are paid through a separate route, which can involve collecting organisations, which are bodies that collect and distribute money for the use of songs.

Third, the contract matters. A label agreement may include an advance, which is money paid up front and later recovered from royalties, and a royalty rate that applies after that recovery. A distributor agreement may pass on a larger share, but the artist still pays the distributor’s fee. A songwriter’s share depends on who wrote the song, who owns the publishing rights, and how those rights were split. None of these details are visible from a stream count alone.

The wider market shows how large streaming has become, at the time of writing. The International Federation of the Phonographic Industry, known as IFPI, reported through Reuters that global recorded music revenues grew by 6.4% to $31.7 billion in 2025, the eleventh straight year of growth. Streaming accounted for around 70% of global recorded music income, with total streaming revenues passing $22 billion. Paid subscription streaming rose by 8.8% and accounted for 52.4% of total revenues, with 837 million paid streaming subscription accounts in total. Growth was fastest in Latin America, up 17.1%, followed by the Middle East and North Africa and by Sub-Saharan Africa, both up 15.2%, while the United States and Canada rose by 3.5%.

One limit in the IFPI report deserves a clear note. The report did not say what share of revenues record labels passed on to the artists. That gap matters for readers who want to judge fairness. A large total for the industry does not, by itself, show how much reached any single artist, because the split after the pool depends on the agreements described above. For an artist, the practical step is to read the agreement before release, and to check the first royalty statement against it, with help from a trusted adviser if the wording is unclear.

AI-generated identities and spam tracks

AI can also create music and, in some cases, a whole performer identity. That is where listeners need a second kind of check, beyond the playlist itself. Trusted Reviews reported that Spotify is introducing an “AI persona” label for AI-generated artist identities, and that such profiles will be kept out of personalised recommendations by default. The labels were reported to appear on artist profiles and track listings from September. The company also said it would allow creators to disclose when an artist identity was created with AI, and that it would use human reviewers and AI-powered tools to spot profiles that try to hide their artificial origins.

The distinction in that policy is worth noting. It applies to AI-generated identities, rather than to AI-generated music as a whole. A human musician who uses AI tools as part of the creative process is not the same as a fully invented performer presented as if it were a real person.

Spam tracks are a related problem. Trusted Reviews reported that Spotify said it removed 75 million spam tracks from its platform over a 12-month period last year, from a catalogue of around 100 million tracks. Spam, in this context, means tracks that are low in quality, misleading, or designed mainly to game the system, rather than to serve a listener. A track that is removed, or kept out of personalised lists, cannot collect the same share of plays. IFPI chief executive Victoria Oakley called streaming fraud “theft, plain and simple”, as reported by Reuters. Fraud, in this context, includes fake plays designed to take a share of the pool without a real listener. Buying fake plays may look like a shortcut, but it risks removal and loss of trust, and it takes money from the same pool that real listeners and artists rely on.

For a listener, the check is simple. Look at the artist profile before you follow it. If a label shows that the identity is AI-generated, decide with that fact in view. If a profile has little history and many similar tracks released at speed, treat it with care.

What to do next, whether you listen or make music

If you listen, start with one small change this week. Pick an artist you already enjoy, save three of their songs, and add them to a playlist you control. That action helps the artist’s share, and it also teaches the system about your taste in a way you can see and change.

If you make music, start with the basics before you chase a playlist place. Confirm that every track has correct artist, title, writer, and owner information. Read your distributor or label agreement, and record your songwriting splits in writing. In both cases, keep the source of truth in view. A playlist suggestion is a useful guide, not a verdict on quality. A stream count is a measure of share, not a pay slip.

Frequently asked questions

Does AI set how much an artist is paid per stream?

No. AI helps with discovery, but payment on Spotify is based on streamshare: the artist's share of streams in a market in a month, applied to that market's royalty pool. Contracts then decide how that share is divided.

Why do two songs with similar stream counts earn different amounts?

Because the market, the month, and the contract differ. A stream in a larger market sits in a larger pool, and a label, distributor, publisher, or collecting organisation may take a different share before the artist or songwriter is paid.

How can I tell if an artist profile is AI-generated?

Look for an “AI persona” label on the artist profile and track listings, where Spotify has applied it, and check the profile history. A human artist who uses AI tools is not the same as a fully invented performer.

If you remember one point, let it be this: AI has made finding music faster and more personal, but it has not replaced the need to check how payment works, who owns the rights, and whether the performer behind a profile is real.

If you would like help turning that kind of clear, checked explanation into content, a website, or a workflow for your own business, explore our services or get in touch through our contact page for a free consultation.

What to watch next

This article should be updated when Spotify changes its streamshare method, its AI persona policy, or its royalty reporting, or when IFPI publishes a new Global Music Report with figures that change the totals used here. At that point, the new figures, the date checked, and the Sources section should all be updated together, and any claim that no longer holds should be removed or corrected.

Sources

1. Spotify, Loud & Clear — How is streamshare calculated? — date checked: 2026-10-30 — https://loudandclear.byspotify.com/faqs/how-is-streamshare-calculated/
2. Spotify, Loud & Clear — The Process — date checked: 2026-10-30 — https://loudandclear.byspotify.com/process/
3. Philstar / Reuters — Streaming boosts global music revenues once again in 2025, report shows (IFPI Global Music Report) — date checked: 2026-10-30 — https://interaksyon.philstar.com/trends-spotlights/2026/03/20/310781/streaming-boosts-global-music-revenues-once-again-in-2025-report-shows/
4. Trusted Reviews — Spotify is making big changes to AI content that stops it from being recommended — date checked: 2026-10-30 — https://www.trustedreviews.com/news/spotify-is-making-big-changes-to-ai-content-that-stops-it-from-being-recommended