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Fraudsters Release AI Music

Unauthorized AI Albums Uploaded to Spotify & iTunes Under Emily Portman’s Name — How Artists Are Forcing Takedowns of Fake Releases”

Ashish Singh by Ashish Singh
August 25, 2025
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A rising wave of fraudsters is using AI to release unauthorized music under the names of real musicians. The growing trend is leaving artists scrambling to protect their reputations and regain control over their streaming profiles. According to industry analysts, these AI-generated releases are increasingly slipping into official catalogs, creating confusion for fans and financial loss for performers.

Read also:Netflix’s Bold AI Move: First-Ever Generative VFX Replaces Artists in Original Series

Fraudsters Release AI Music Under Real Artists’ Names, Musicians Push Back

Emily Portman AI music case

Folk singer-songwriter Emily Portman was among the first to raise alarms. Portman told the BBC she learned of an album called Orca only after a fan congratulated her on its release. She had never recorded it. “I clicked through and discovered an album online everywhere—on Spotify and iTunes and all the online platforms,” she said.

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The music was unmistakably synthetic but eerily close to her own style. Portman explained the voice mimicked her tone, while the track names echoed titles she might have chosen. She described the situation as “really creepy.” Weeks later, another fraudulent album appeared on her official profile. This time, she said, the release was nothing more than “20 tracks of instrumental drivel—just AI slop.”

Emily Portman AI music controversy

Copyright complaints and platform response

Portman copyrighted the fake albums to make them removed. Others like Spotify took weeks to act, whereas some took quick action. She also said she has not yet entirely taken command of her artist identity. Spotify said the releases were the subject of an incorrect addition to the incorrect profile of another artist with the same name. Portman disputed that account pointing to the apparent homages to her songs in the music that had been created by the AI.

Josh Kaufman cautions about AI music impersonation

Josh Kaufman, a New York-based producer, and songwriter, whose contributions to Taylor Swift on its Folklore album also faced a similar ordeal. Kaufman has remembered fan-letters to this effect, where addressees congratulate him on any supposed stylistic change. Rather, he opened up a computer generated music uploaded under his names. Kaufman guesses that most of them understood it was not him but a humiliating and blinding situation. He indicated that music constitutes the stamp of the soul and that it is quite appalling that a person can steal his artist profile so easily.

Read also:From Draft to Cliffhanger: How Pocket FM AI CoPilot Helps Audio Writers Craft Narrative Beats, Character Bios & Dramatic Endings in Seconds

New York-based producer and songwriter Josh Kaufman
New York-based producer and songwriter Josh Kaufman

Portman and Kaufman are not the only ones. Several other folk musicians have stated they have found unauthorized AI music under their names including those of Wilco singer-songwriter Jeff Tweedy, Father John Misty, Iron and Wine singer-songwriter Sam Beam, Teddy Thompson and Jakob Dylan. Industry monitors found out that much of the fake album titles used the same flavor of artificial imagery and were produced under a small cluster of suspect record labels. A pair of the labels incorporated Indonesian names, and a number of songs were given by the same songwriter: Zyan Maliq Mahardika. The name has been used in AI-generated songs in various genres, including metalcore and Christian music.

AI makes music fraud easier

Analyst, Tatiana Cirisano of Midia Research, outlined the reasons of why the problem is getting worse. She stated that AI serves as an instrument used by fraudsters to trick listeners into believing that they are listening to a particular artist because in the streaming age people are less inclined to question the quality of the song. Bad people are hoping to get enough plays to collect a check. Risano pointed out that scammers attack the mid-sized or less popular artists as opposed to worldwide megastars. The logic is straightforward streaming-gateways will be most likely to react promptly when big names are involved.

Streaming platforms have problems with several detection issues

Streaming services and distributors have noted that problem and are already pursuing artificial intelligence (AI) and machine learning to identify fake releases. Nevertheless, Cirisano noted that fraudsters also incorporate AI to advance their methods. What it creates is a game of cat and mouse that seems to resemble the piracy of the first half of 2000s. All stakeholders have to play their role, Cirisano added. But it just gets messy in kvetching.

Read also:AI Flags Student Messages, Leading to Legal Consequences

Industry veterans have compared the situation to the dawn of file sharing, when platforms struggled to police unauthorized uploads. At that time, artists faced widespread losses until new legal and technological frameworks caught up. Experts now warn that AI-driven fraud could be equally disruptive unless stronger protections are introduced.

Other musicians report fraudulent tracks

Artists affected pursue legal and industry change

At this point, creators such as Portman and Kaufman depend on copyright infringement claims and direct communication with platforms. However, these procedures are time consuming and various music practitioners claim that they do not have the stamina to track down all phony releases. Lawmakers in industry groups are now starting to demand newer legislation regarding AI impersonation as often current copyright protections fail to extend across to this sort of situation when there is no human writer present. Portman underlined the importance of the emotional impact that is equally as harmful as the financial one. This is that we do. We are stamped with it on our soul,” she said. And anybody can just come into the facility and just have a key like that.

The problem of AI-generated instances in music tends to increase as the quality of such content improves, to which music platforms are under pressure to protect artists. The counterfeit albums that impinged upon Portman, Kaufman and others demonstrate how easily faith in artists, audiences, and sites can be broken. Analysts believe that the challenge will get even more severe before solutions begin to form. At the moment, musicians are fighting against illegal use of AI-driven music compositions, whereas fraudsters are using even the platforms that should help promote true creativity.

FAQs

How are fraudsters releasing AI music under real artists’ names?

Fraudsters use AI tools to mimic an artist’s voice and style, then upload tracks through distributors. These releases often appear on official artist pages before detection.

Why was Emily Portman’s case significant in the AI music fraud issue?

Emily Portman discovered an AI-generated album titled Orca uploaded to her Spotify and iTunes profiles without consent, highlighting how convincing fake music can appear.

What action are artists taking against unauthorized AI albums?

Artists file copyright complaints, contact distributors, and push streaming platforms to remove fake albums. However, takedowns can take weeks, delaying resolution.

How are streaming services responding to AI-generated music fraud?

Platforms like Spotify and Apple Music are investing in AI and machine learning to detect fraudulent uploads, but artists say bad actors are getting harder to stop.
Tags: AI fraud in music industryEmily Portman AI musicfake music releases Spotifyunauthorized AI albums
Ashish Singh

Ashish Singh

Ashish — Senior Writer & Industrial Domain Expert Ashish is a seasoned professional with over 7 years of industrial experience combined with a strong passion for writing. He specializes in creating high-quality, detailed content covering industrial technologies, process automation, and emerging tech trends. Ashish’s unique blend of industry knowledge and professional writing skills ensures that readers receive insightful and practical information backed by real-world expertise. Highlights: 7+ years of industrial domain experience Expert in technology and industrial process content Skilled in SEO-driven, professional writing Leads editorial quality and content accuracy at The Mainland Moment

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