Fake streams and streaming fraud have become a major issue for the music industry in 2026—no doubt about it. A fraudulent stream and an AI song are not the same thing, but still, they are two of the most discussed subjects these days. Spotify, Apple Music, Deezer, and other streaming platforms have launched automated systems that rely on machine learning to identify unusual listening patterns and other signals associated with artificial streaming. But distributors are also taking part in the battle, such as LANDR, with its partnership with AI research lab Mila and its AI-powered detection tools. But how do Spotify and other platforms detect fake streams in 2026? And what happens when fraudulent streaming is identified? Here is the full breakdown, at a time when a new “Streaming Integrity Initiative” intends to reshape the music industry.
Estimated reading time: 8 minutes
Key takeaways
- Spotify and other streaming platforms detect fake streams in 2026 by combining machine learning, listening behavior, account activity, unusual audience growth, sudden stream spikes, and other signals of artificial streaming.
- LANDR and Mila use AI-powered fraud detection to analyze behavioral data. They identify accounts linked to bots, and flag patterns such as 24/7 looping, unusually frequent releases, shared devices, suspicious payouts, and artist impersonation.
- When streaming fraud is detected, platforms or distributors can remove artificial streams, adjust royalties, remove catalogs, or suspend and delete accounts, with consequences varying by platform and distributor.
- The Streaming Integrity Initiative brings together major music industry players to strengthen fraud prevention, detection, and collaboration across streaming platforms, distributors, labels, artists, and other stakeholders.
How do Spotify and other platforms detect fake streams in 2026?
Platform detection systems rely on several key indicators:
- A sudden, unexplained spike in an artist page’s follower count—lacking any clear driver like a viral trend, media appearances, collaborations, etc.
- Audience growth in a country the artist had never previously reached.
- Thousands or even millions of accumulated streams followed by a sharp drop-off, potentially signaling that bot farms have abruptly stopped boosting the artist.
- Patterns in listening behavior and account activity
Platforms often combine automated detection systems with human review before taking action. But for now, streaming platforms alone can’t identify all AI-generated songs on their services or detect every instance of streaming fraud. They know this; for example, Spotify charges distributors fees when it detects fraudulent streams. However, Spotify does not publicly disclose everything it has developed regarding its fraud-detection systems, even though it has confirmed on multiple occasions that it is involved in the battle against artificial streaming and AI-generated material.
Artificial intelligence models are constantly being refined, making streaming fraud increasingly difficult to detect. What solutions exist to ensure the sector’s long-term viability? Initiatives by companies like LANDR and Mila represent a step in the right direction. The same goes for the formation of the SII, which demonstrates that major players in the music industry won’t go down without a fight.
Let’s take a closer look at these examples!
LANDR and Mila: A Case Study in AI-Powered Fraud Detection
LANDR began as an AI-powered song mastering tool accessible to everyone. Positioning itself as an all-in-one subscription service, LANDR aimed to give artists—whether established or emerging—the tools they need at every stage of the process, from creation to distribution. It is somewhat ironic, then, that LANDR has now positioned itself against the proliferation of AI-generated songs. This raises the question: why would a company that built its business model on AI now want to combat the very technologies that gave it life?
LANDR has also recently positioned itself as a distributor. This means the company acts as a direct link between artists and streaming platforms. It is directly exposed to and affected by issues around AI, fraud, and royalty distribution. The math is simple: if AI-generated fake artists and songs take the space previously reserved for “human” artists, the royalties paid to the latter will likely decrease.
LANDR needs to maintain its credibility with major streaming players like Spotify, Apple Music, Deezer, TIDAL, YouTube Music, Amazon Music, and Qobuz. If songs distributed by LANDR turned out to be AI-generated, these platforms could easily turn against the Quebec-based company.
Distributors must filter content and erect as many barriers as possible to prevent uncontrolled proliferation.
Using Machine Learning to Combat Streaming Fraud
On September 23, LANDR announced a new partnership with the machine learning lab Mila, a non-profit organization that describes itself as an AI research laboratory. By partnering with LANDR, Mila is applying its machine learning technologies to detect streaming fraud.
On its website, Mila describes the tool as follows: “The first AI model detects profiles at the source by analyzing user profile data.” It scrutinizes listening statistics to spot anomalies. Such as a song being played on a loop 24/7 by the same device.
To announce the partnership, LANDR is making a major announcement: according to them—and thanks to their tools—Spotify flagged 95% fewer artificial songs (out of the total volume of songs LANDR distributes) during the period spanning the first quarter of 2025 to the second quarter of 2026.
However, these statistics are not solely the result of the collaboration with Mila. They also reflect multiple fraud-detection tools developed in recent months.
How can streaming platforms and artificial intelligence detect fraud?
To draw their conclusions, LANDR and Mila rely on several pillars. First, they analyze behavioral data from accounts registered on their platform and examine listening habits to detect behavior that deviates from that of an average user. This makes it possible, for example, to identify accounts created artificially to inflate play counts using bots that stream songs continuously to rack up the maximum number of streams.
But there is other data to consider as well:
- Unusually high release frequency
- Catalogs that appear overnight
- Multiple accounts linked to the same devices
- Clusters of accounts sharing devices or payout details
- Suspicious payment or payout patterns
- Metadata designed to impersonate established artists
What are the consequences of music streaming fraud?
Whenever a streaming platform, such as Spotify, Deezer, TIDAL, Qobuz, YouTube Music, Apple Music or Amazon Music detects a fraudulent stream, the following can happen:
- Account deletion or a temporary suspension
- Royalty adjustments
- Removal of catalog
- Removal of artificial streams in the streaming count
These consequences depend on the platform and the music’s distributor.
As far as LANDR is concerned, every flagged instance undergoes human verification before a decision is made. A way to double-check the reliability of the detection tools LANDR launched.
However, as the site MusicAlly points out, LANDR does not provide specific figures or concrete evidence to back up its statistic of 95% fraud detection. It is impossible to determine the percentage identified before the period in question. Mila offers no further details, making it impossible to gauge the impact of introducing the machine learning lab on the suite of detection tools LANDR has implemented.
But one thing is certain. LANDR and other distributors and streaming platforms are aware of the new guidelines announced by the IFPI in September 2026.
What Is the Streaming Integrity Initiative?
On September 14, a statement on the IFPI website announced the creation of the Streaming Integrity Initiative (SII). A partnership between major players in the recorded music industry (including Universal Music Group, Virgin Music Group, Warner Music Group, RouteNote, Ditto Music, Sony Music Group, and CD Baby) to combat fraud and protect the rights of artists, songwriters, and fans.
The SII’s objective is relatively simple. It defines a set of measures, guidelines, and goals to address, detect, and combat fraud. It is a major undertaking, particularly given the issues raised by AI.
The SII summarizes its position as follows:
“Streaming fraud involves the manipulation of digital music services to generate revenue from plays that are not genuine. It is often happening at scale, undermining trust in streaming services and siphoning revenues away from the artists, songwriters, record labels, music publishers and others who power the music economy.”
The SII highlights the key role distributors play in the fight against fraud. It urges them to strengthen prevention efforts. To stay vigilant, and collaborate with other entities to make their actions as effective as possible.
The SII’s message is broad, addressing all players in the recorded music industry, whether or not they are signatories to the initiative. Combating artificial intelligence and streaming fraud is a collective responsibility, and everyone must play their part. This is a prerequisite for creating a virtuous cycle in which labels, artists, distributors, and streaming platforms can benefit from heightened vigilance and effective detection tools.
How do Spotify and other platforms detect fake streams in 2026? The answer depends on a combination of factors, with distributors and streaming platforms developing tools to detect and act as efficiently as possible. But a lot remains to be done, and the battle is far from over!
