Ghost production has never been a secret in electronic music (we even wrote about it back in 2016). It has always existed in the margins, understood rather than spoken about, a quiet arrangement between those who could make the music and those who had the profile to sell it. Since at least the early years of commercial EDM, bedroom producers have been crafting tracks that superstar DJs have released under their own names, pocketing flat fees in exchange for anonymity. (I personally could name quite some well-known Techno producers who moonlight as a Ghost Producer who make a tidy living)The system was imperfect, arguably dishonest, but it was at least human. The people making the music had invested years into their craft. They had something real to sell.
That has changed.
In 2026, the ghost producer has evolved into something altogether different. Artificial intelligence has collapsed the barrier between having an idea and releasing a finished record. Tools like Suno and Udio can generate production-ready tracks in minutes, complete with vocals, arrangement and mastering. What once required years of technical knowledge and thousands of hours of practice can now be approximated by anyone with a subscription and a text prompt. The ghost has left the building, and what it has left behind raises questions the music industry is only beginning to take seriously.
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In Conversation with Dimitri AndreasTraditional ghost production was a cottage industry. You could find it on dedicated marketplaces like Ghost Producers, EDM Ghost Production and similar platforms, where producers listed tracks for sale and buyers purchased the rights, often never disclosing the original creator. It was transactional, certainly, but there was still craft involved. The music reflected real decisions, real taste, real accumulated knowledge of how a track should feel on a dance floor or in headphones at two in the morning.
The introduction of AI into this pipeline has not simply made ghost production faster. It has fundamentally altered what is being sold. A track generated primarily by an AI tool and purchased through a ghost production marketplace is not a human artefact dressed up in someone else’s name. It is a machine output dressed up as a human artefact dressed up in someone else’s name. The deception has gained an additional layer, and the people who suffer for it are the working producers who have built real skills over real time.
The cost has also collapsed. Where a decent ghost-produced track might have commanded several hundred to several thousand pounds depending on genre and quality, AI-generated alternatives undercut that market dramatically. The economic pressure this places on legitimate producers is not theoretical. It is already being felt.
The scale at which AI music is now entering streaming platforms is significant. By the end of 2025, French streaming platform Deezer reported receiving up to 50,000 fully AI-generated songs daily, and found that up to 70% of all streams on these AI tracks were artificial — a figure that points to something more organised than casual experimentation. Streaming farms, in which bots inflate play counts to generate royalty payments, have found a natural partner in AI music generation. The formula is simple and increasingly accessible: generate tracks at volume, upload them under fabricated artist names, run bot traffic to the streams, collect the payouts. It is fraud dressed in the language of creativity.
Spotify’s own practices have not been above scrutiny. According to findings published in Harper’s Magazine, the platform has been padding playlists with what have been described as ghost artists, a scheme internally known as “Perfect Fit Content,” introduced to editors in 2017. The practice involved partnering with production companies, many based outside the US, to place stock-like music into popular mood and genre playlists, effectively reducing royalty obligations to genuine musicians. Spotify denied creating its own fake-artist tracks, but stopped short of denying that it had added such tracks to its playlists. The distinction matters less than the outcome. Real artists were displaced in recommendation systems by cheaper, manufactured alternatives.
The implications for electronic music specifically are acute. Beatport has addressed AI in its terms and conditions, stating that the platform values the creative process and will remove content it suspects may have been AI generated, while acknowledging that many tools labelled as AI function more like traditional software or represent the natural progression of technology. The platform says it will work with label partners and follow industry guidelines to inform decisions on what is and is not permissible, and reserves the right to make removal decisions at its sole discretion. It is a position of sorts. But read it carefully and what you find is a framework built almost entirely on discretion, deference and vagueness. No defined threshold for what constitutes AI generation. No requirement for disclosure at the point of submission. No proactive process for screening. The get-out clause that many tools labelled as AI are really just traditional software doing its job is understandable in isolation, but as a cornerstone of policy it gives bad actors all the running room they need. Without clear definitions and mandatory disclosure, distributors can continue to push AI-generated tracks through, labelled as human-produced underground dance music, and rely on the sheer volume of submissions to absorb any scrutiny.
Traxsource, to its credit, has published a considered position, framed around five pillars: championing human artistry, banning fully AI-generated content, accepting AI as a production tool where genuine human creative direction remains intact, committing to transparency through labelling, and pledging to adapt as the landscape evolves. The platform is working towards scanning uploads and including a disclosure process that would allow tracks to be categorised as fully human, fully AI or AI-assisted. Crucially, Traxsource has also been honest about the limits of detection technology in a way that other platforms have not. In the words of the platform’s own statement, written by co-founders Brian Tappert, Marc Pomeroy and Sheldon Prince: “Any platform claiming foolproof AI detection is overstating what the technology can currently deliver.” That kind of transparency is rare and deserves acknowledgement. But it also underlines the scale of the problem. If one of electronic music’s most respected download stores is acknowledging that accurate detection is not yet possible, particularly across hybrid workflows that blend human and machine input, then self-declaration by submitting artists becomes even more critical as the first line of defence. Juno Download has yet to articulate an equivalent public position.
The clearest signal of where the wider music industry is heading came in January 2026. A folk-pop single called ‘I Know, You’re Not Mine’ had already become one of Sweden’s biggest tracks of the year, garnering millions of streams and rising to the top of the country’s Spotify chart. The track was credited to an artist called Jacub. An investigation by Swedish journalist Emanuel Karlsten, tracing the song through STIM, Sweden’s music rights organisation, found five people listed as authors, four of them connected to Stellar, a Danish music publisher. Two of the credited rights holders worked in the company’s AI department.
Following the revelation, the IFPI, which runs Sweden’s official music chart Sverigetopplistan, said the single would not qualify for inclusion, with IFPI head Ludvig Werner stating: “Our rule is that if it is a song that is mainly AI-generated, it does not have the right to be on the top list.”
Stellar pushed back publicly, not by disputing AI’s role but by arguing that AI was used as one tool in a broader creative process involving human musicians and producers. A Stellar representative stated that Jacub’s voice and parts of the music were generated with AI as a tool. The chart body was unmoved. The song, while still available on Spotify, was excluded from the country’s official rankings.
The contrast with Billboard is notable. The US chart has allowed AI tracks into its rankings based on listener response alone. The UK’s Official Charts Company has not yet been required to take a definitive stance, though a track that originally featured AI vocals was heading for the charts before a royalties dispute led to it being re-recorded with a human singer. Sweden’s decision was not a perfect solution. But it was a precedent, and precedents matter in an industry that has been slow to draw lines.
On 13 January 2026, Bandcamp published a generative AI policy statement titled “Keeping Bandcamp Human,” stating that music or audio generated wholly or in substantial part by AI is not permitted on the platform, and banning the use of AI to impersonate other artists or styles. The company framed the decision plainly: “We want musicians to keep making music, and for fans to have confidence that the music they find on Bandcamp was created by humans.”
For a platform that has paid out over a billion dollars to artists since its founding and built its reputation on genuine independence, the policy was consistent with its values. It also paid out a significant $19 million to artists in 2025 alone, underscoring the platform’s material role in the indie music economy. The enforcement mechanism, relying on community reporting, is imperfect, and early cases have already shown the risks of that approach, with some human creators having their work removed following what appear to be malicious or mistaken reports. But the intent is clear and the direction is right.
The challenge, as with most things in this space, is that the biggest AI-related cases of 2025 and 2026 are not purely AI-generated. Acts like Velvet Sundown, Breaking Rust, HAVEN and Jacub are the work of human operators working with AI tools at varying degrees of involvement. The line between “AI-assisted” and “primarily AI-generated” is genuinely difficult to draw, and the music industry has not yet agreed on a shared definition.
This is the question that is not being asked loudly enough. Labels, particularly those operating in electronic music, receive an enormous volume of submissions from producers and ghost production services alike. The honest answer is that most of them are not equipped to detect AI-generated content through listening alone, and many are not asking the right questions at submission stage.
That needs to change.
A reasonable and implementable standard would be for labels to require, as a condition of signing or licensing a track, a declaration from the submitting artist confirming that the work is substantially human-created. Not simply a checkbox, but a statement with genuine teeth — one that would expose the submitter to consequences if the declaration was false. Labels could also request proof of production process: stems, project files, session exports, records of hardware used. These are not new concepts. They are the kinds of documentation that already exist in professional recording and publishing contexts. Applying them to electronic music submissions is not unreasonable.
The counterargument will be that this creates friction and places an unfair burden on small, independent producers. That is worth taking seriously. But the alternative, allowing the market to continue filling with AI-generated material submitted as human work, places an even greater burden on those same producers who are competing honestly. The friction is justified.
Beatport has the profile and the market position to lead on this in the electronic music space, and the language already exists in its terms and conditions to build something more meaningful. The platform states that violation of its AI provisions constitutes a material breach that may result in immediate termination of access and potential legal action. Those are strong words. The problem is that they are attached to a process with no clear trigger, no mandatory disclosure requirement and no defined standard for what qualifies as impermissibly AI-generated. The T&C also notes that its policy is likely to evolve over time, which is at least honest, but evolution requires a starting point with real teeth. Traxsource has already begun moving in a more structured direction, and its framework provides a model that Beatport should be studying and building on. Juno Download has yet to articulate an equivalent public position. The infrastructure for accountability exists. What is missing is the will to make it specific.
Ghost production was always a shortcut. That is the honest characterisation of it. Someone wanted the career without the years of work, or they had the profile without the technical ability, and they found someone else to bridge the gap. It is not new, and it is not unique to music. But there has always been a constraint on how far the shortcut could go. Making a convincing piece of music that would pass muster in a competitive market still required either the creator having genuine knowledge, or the ghost producer they hired having it instead. The floor was real skill.
AI has removed that floor. The shortcut no longer requires anyone in the chain to actually understand what they are doing. It requires a subscription and a willingness to misrepresent the result. In a cultural climate that valorises output over process, followers over depth and virality over substance, AI is the logical endpoint of an accelerationist attitude toward creative work. You do not need to understand music theory, sound design, arrangement or mastering. You need to know how to write a prompt and how to upload a file.
The damage this does to electronic music is not primarily economic, although it is economic. It is cultural. Electronic music has a specific and hard-won (even Hardware) relationship with craft. The culture emerged from people who understood machines, who spent years learning what a synthesiser would do if you pushed it past its intended parameters, who built careers in rooms with no natural light, surrounded by hardware they barely had money to buy. The culture has always had commercial pressures and always had people gaming it. But it has also had a core of people who were genuinely devoted to the work for its own sake.
That core is what needs protecting. And protecting it requires the platforms, the labels and the chart bodies to treat AI disclosure not as an abstract philosophical question but as a practical, enforceable standard.
The Swedish IFPI drew a line in January. Bandcamp drew one of its own. These are the beginnings of an answer. The electronic music industry needs to find its version of the same.
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