Is AI Music the Future or a Fad?

Being in the music industry for quite some time, I’ve seen numerous technological innovations come and go. And if you are here asking whether AI music is the future or just a fad, my initial reaction would definitely be to roll my eyes. However, having considered the latest numbers on the subject, I decided to stop rolling my eyes, as this is one case which doesn’t really qualify as a mere fad. So here we are – let’s talk about it. I will give you the short answer upfront and then proceed with the data.

To begin with, AI music is not a fad. The upload volume, money, label settlements, and chart placements speak for that. Nevertheless, it is not the future, as it is marketed. The truth is somewhere in between: AI becomes a production layer in music creation of humans, and fully AI-generated songs flood the streaming platforms in huge quantities which the platforms themselves try to control actively. All of this is true at once, and considering only one perspective would be selling you something. In the course of the past two years, I’ve tried using the available AI generators myself, making tracks in Suno and Udio and observing my friends working in the industry using those with pleasure and even fear. Here, based on the latest information and my personal experience, is the story behind it all.

The Numbers Which Refute the Idea of a Fad Immediately

Firstly, the statistics I am referring to. According to the Paris-based streaming service Deezer, in April 2026, 44 percent of all daily uploads to the platform were generated by artificial intelligence. This is around 75,000 synthetic tracks per day or almost two million per month. By June 2026, this number crossed 50 percent, reaching about 90,000 per day, as reported by TechCrunch following Deezer’s announcement about July 2026. Now consider the pace – it took the platform 18 months to increase the share from 10 percent to 50 percent. In January 2025, when Deezer launched its AI detection tool, there were about 10,000 AI tracks per day.

Secondly, Spotify has something to say about the situation too. In September 2025, the service revealed the fact that during the last year, it had to delete over 75 million spammy tracks. It was done in order to introduce AI content policies. The Guardian reported the same news about Spotify introducing a spam filter to fight the fraudulent uploads.

These numbers tell you a lot about the situation and about the future, however, the following nuances are worth mentioning in order to see the bigger picture. First of all, neither Deezer nor Spotify is banning AI music. Spotify explicitly welcomes AI-generated tracks which are made by creators holding the rights, without unauthorised voice cloning, and showing creative input. Secondly, despite the fact that 44 percent of all the uploads are generated by AI, fully AI-generated songs make only 1 to 3 percent of all streams in Deezer and 85 percent of those tracks are flagged as fraudulent. Again, take the numbers into account, as it is the honest answer to the question about the future of AI music.

The Perspective of the Ones Who Make Music

Surveys are one thing. However, surveys of the actual music professionals tell you much more about the future, as the industry and their livelihoods depend on it. Sound on Sound, the recording magazine published a survey in February 2026 and it cleared out the matter a little bit for me. Only 3.6 percent of the respondents considered AI music a passing fadwhile almost a third believed it to revolutionise the industry. The perspective of 58 percent was that AI will eventually play a supporting role in music production, helping humans to create faster. The perspective of 21 percent implied major automation of music production processes under the supervision of humans. Only 9 percent expected the full automation of the process, making human producers redundant.

This attitude of Sound on Sound matches the opinion of the ones I talked to. Engineers are not enthusiastic, however, the fact that they are trying to learn stem separation tools, AI-assisted mastering, and generation platforms proves that they understand the matter.

What Happened When the Labels Stopped Suing and Began Signing

In order to understand whether an industry considers the technology as a fad or not, you should watch what happens to it with its lawyers. In June 2024, the three major labels sued Udio and Suno, the two leaders in AI music, for mass copyright infringement due to the use of unlicensed recordings for training the models. Back then, many commentators said that the lawsuit would kill the category. That didn’t happen.

In October 2025, Universal Music Group settled its lawsuit with Udio, creating a new, fully licensed AI music platform. Warner Music Group followed and settled with Suno in November 2025 requiring the company to deprecate all of its models trained on unlicensed music and launch new, licensed ones. The case of Warner Music against Udio was solved similarly. Meanwhile, Sony Music continued litigating and the case of Universal and Sony against Suno is still ongoing in Massachusetts since 2024. Chartlex reports that because of US court schedule, a fair use ruling would appear only in 2027.

As you can see, these settlements reflect the opinion of the largest music corporations which saw what was happening, understood the situation and decided to price the future revenue stream rather than try to kill it through the court system. As Chartlex notes, the pattern is clear – majors who wanted to get their share of the pie signed and the ones who wanted to win the legal case are still in the court.

There is one sad detail about the settlements which deserves much more attention. In June 2026, American Federation of Musicians sued Universal and Warner Music over the mentioned settlements accusing the latter of creating a significant new revenue source from AI licensing and refusing to compensate the musicians whose recorded performances were used as the training data for the generators. Whatever you think of AI music, the musicians who performed on the training data were largely absent from the money flow.

It is not a technology issue. It is a choice issue and it will affect the way the future feels like.

The Tools, the Prices, and the Actual Results

Now let’s proceed to the more practical part of the discussion. As you were looking for this topic, you were interested in the tools, right? There are two platforms dominating in full songs generation – songs which contain vocals similar to the ones of a finished record. These are Suno and Udio. All the others such as Soundraw or AIVA fall under royalty-free background music generation.

Suno is the market leader and the numbers prove it. According to Chartlex’s comparison and citing from TechCrunch, Suno reached 2 million paid subscribers and gained around $300 million in annual recurring revenue by the beginning of 2026. Its valuation is about $2.45 billion as a result of the November 2025 fundraising. The companies with $300 million annual recurring revenue are not fads. They are something else, maybe not good, but surely not fads.

In terms of pricing, according to the information published by the company itself and verified by Chartlex in mid-2026, the free tier gives you 50 daily credits for non-commercial usage. For $10 per month ($8 if billed annually) you get 2,500 monthly credits and the Pro plan, and for $30 per month ($24 annually), you get 10,000 credits and Suno Studio, the browser-based editing environment providing timeline editing, layering, and MIDI export functions. One standard generation takes around 5 credits. Now here comes my hard-learned lesson – budget for the iterations, not for the generations. My experience matched the reviews on GPTPrompts.ai – the final song, with the introduction extension, twice generated chorus and rework of the outro can take 25 to 30 credits easily. The cost per song is a dream for anyone having some standards.

Udio, on the other hand, is a tricky recommendation. This is where I want to warn you from a recommendation which is still popular despite outdated articles. Udio was historically better in terms of the raw audio fidelity and inpainting on the section level (generation of a separate passage while keeping the rest of the song unchanged). However, as a result of its settlement with Universal, Udio disabled user downloads. In its head-to-head comparison, published in June 2026 and updated by Chartlex, Udio is described as a streaming-only walled garden where you cannot download audio, video, or stems and commercial rights for only $30 per month tier. The generator you cannot export from is useless for any professional musician. Until Udio launches its licensed platform with export capabilities, I would not recommend subscribing to it despite any advantage it might have in terms of audio fidelity. Several websites publishing reviews failed to notice this change, so please check the ability to export before subscribing as terms in this area are changing every month.

Finally, what about other solutions? The head-to-head comparison done by Chartlex includes Stable Audio, ElevenLabs Music, and AIVA alongside the leaders. The short version is that they solve different tasks. ElevenLabs Music gives commercial rights from the Starter tier costing $6 per month under a unified credit model. It is the cheapest solution allowing you to make full-length pieces for commercials, and its per-minute cost of credits makes it hard to produce more. AIVA works best for classical and cinematic scoring and runs from free to $49 per month. If your task is background music, not a song with vocals, one of these might be better than Suno.

Finally, the last point regarding Suno – marketing won’t tell you that. As a result of the settlement with Warner, Suno committed to the restructuring of its terms, disabling free tier downloading and capping the number of paid downloads with additional fees. As far as I know, the changes are yet to be introduced, which means you are building the workflow upon terms which are to be changed. Keep that risk in mind before making Suno integral part of your client workflow.

When AI Music Really Works

Enough skepticism, as there are some useful cases and ignoring that would be a kind of dishonesty.

The first and the clearest case is functional music – tracks for videos, podcasts, game prototypes, meditation applications, and small-business content where the music works as the background of the product. If you are a solo creator, $10 per month giving you unlimited rights-cleared background music is much cheaper and suitable than stock library which is more expensive and less fitting for your specific needs. This market is real, growing, and uncontroversial because nobody was making session orchestra for their YouTube intro.

The second case is the sketchpad usage. I use it myself – generate a rough arrangement, listen to the output, and remake the parts which seem good using real instruments and my own production in the DAW. AI output does not survive the process, however, the ideas which emerge usually do. Chartlex’s advice about the generators’ use matches my experience – treat the generators as demo and make real performances on top of the track if you want to create something which is actually promoted by streaming algorithms.

The third and the most commercialized is the hybrid artist model. The example of it is Xania Monet, the AI-voiced R&B act created by Mississippi poet Telisha Jones who creates the lyrics herself and generates music with the use of Suno. Late in 2025, she became the first known AI artist which got enough radio airplay to debut on Billboard radio charts – Hot Gospel Songs and Hot R&B Songs and signed multimillion-dollar deal with Hallwood Media as a result of reportedly $3 million bid war. According to TechRound, the catalog had gathered 44.4 million official US streams and earned about $52,000 in just two months.

However, here comes the question what made Monet successful, as she was not alone. Billboard analyzed the case comparing her success to the one of the Velvet Sundown, the AI band which had hit about 400,000 monthly Spotify listeners in mid-2025 but became a hoax after its creator admitted. The streams of the band fell dramatically after this admission while Monet’s leveled out and remained stable. Billboard concluded that radio promotion and traditional music business infrastructure made the difference and not the AI. Even in the case of the synthetic artists, the boring human machinery of promotion still decides the survival of the song.

The Hype Which Falls Apart

However, we should pay attention to another side of the ledger too, as there is always another side to the question of AI being the future of music. There is something permanent in this trend, but not as big as advertised.

The first is the listening share. The upload is not the audience, as Deezer showed. AI tracks make over 50 percent of uploads, but only 1 to 3 percent of streams and most of those streams are fraudulent. Vast majority of fully AI-generated songs is not being listened to at all. They exist just to cheat royalty pools, which is the reason why Deezer announced in July 2026 that it would systematically remove AI tracks used for streaming fraud along with the ones which are not streamed within six months. The economics of AI catalogs is poor and worsening as platforms are increasing the enforcement, which is why if anybody is trying to sell you the course of earning passive income through uploading AI songs at scale, close the tab. This business was what 75 million removed tracks were doing and the platforms have teams working on it.

Another aspect is the copyright, which I will discuss separately in the future, and the quality ceiling. Generators are impressive in terms of demo creation and genre imitation. Nevertheless, they are weak in terms of long-form structure, restraint and arrangement decisions which turn the song into an authored one, not just assembled. Suno v5-era vocals are widely acknowledged as the most natural of all the AI generators, and I confirm this, however, after two years of daily experience I can still distinguish the AI-generated tracks most of the time not due to artefacts but due to the certain averageness of the choices. Interesting enough, general listeners cannot: Deezer commissioned an international study and found out that 97 percent of people cannot hear the difference between AI and human-made music, and 80 percent want fully AI-generated music to be labeled. Both of those findings can be true. The difference between listeners’ ability to detect AI and desire to disclose it is why labeling policy, and not audio quality, will be the key battleground.

Labelling is the aspect which I would follow closely in the nearest future. However, Deezer has an interesting mechanism for detecting AI albums in users’ playlists, and does not recommend such tracks for listening in its algorithmic and editorial playlists at all. That’s a significant portion of why the listening share remains so low there. The September 2025 package of measures related to AI from Spotify included industry-standard disclosures in song credits, prohibition of using unauthorized voice cloning, and the introduction of a new spam filter. While commenting on the statistics of Deezer, DJ Mag mentions how varied and strange is the approach of other platforms from outright ban at Bandcamp to optional tagging elsewhere. The prediction: within two years, AI generation without disclosure on a commercial album would become the equivalent of promotion without disclosure, technically possible but reputationally devastating.

And then there is the cultural backlash, which is not negligible. Kehlani urged the fans not to listen to Monet. Bandcamp banned AI music generation entirely. Paul McCartney, Kate Bush, and Elton John were lobbying the government of the UK regarding training data. A technology can be irreversible but also take decades for gaining the legitimacy; streaming did.

The Copyright Problem Nobody Solves With a Subscription

Now comes the section I wish every AI music article started with, as it is a single most misunderstood topic among those who pay for such tools. A license from Suno doesn’t equal a copyright.

According to the January 2025 report of the Copyright Office in the USA, the outputs of AI can obtain the copyright protection only with a significant element of human authorship, and prompting alone doesn’t constitute it. According to the checkthat.ai review of Suno, the practical effect is obvious – no paid tier can help solve this problem. If you generate a track through a text prompt, you’ll obtain the right to commercially exploit it but won’t have a chance to stop anyone from replicating it since, quite possibly, there is nothing copyrightable there. For syncs, ads, or any other legal review, this difference is huge.

The solution is exactly the same as the good creative practice – a significant element of human authorship. Write the lyrics yourself, as Jones does for Monet. Rearrange, re-record, add original performance. The bigger the portion of the resulting piece created by you, the more you can claim it. This is, conveniently enough, how you make music that people will enjoy listening to for the second time, which suggests that law and craft are going the same way.

Also, pay attention to the ongoing litigation, since it can redefine everything completely. The lawsuits by Universal and Sony against Suno are still going on, Sony continues suing Udio, and according to Chartlex, the amended scheduling in the Massachusetts case shifts the dispositive motions to April 2027, with a decision by the German GEMA being already in place and being against Suno in Munich. Anyone who claims that the legal questions are already resolved is selling a subscription.

So, Future or Fad?

Now comes the moment to answer the title question properly, and I’ll divide it into parts, because AI music is not one phenomenon.

AI as the production tool in the human music creation is simply the future, period. The stem separation, mastering assistance, generative sketches, vocals manipulation – this layer is already routine in studios, and Sound on Sound expects the professionals to retain it in a supportive role, while opposition to it is as reasonable as to the synthesizer.

The fully AI-generated music as the fraudulent economy is a fad in the only sense of the word – the platforms are actively strangling it. Spotify’s 75 million removals, Deezer’s demonetization and takedown policies, and the streaming royalties thresholds make the get-rich-by-uploading-shit window close.

The fully AI-generated music as the legitimate form of art is a question without any clear answer yet. Monet case demonstrates that a hybrid human+AI act can chart, sign, and sustain the audience if properly promoted and human-written. Velvet Sundown case demonstrates that novelty alone isn’t enough. Jam.com assessment agrees with me – AI music neither replaced human artists nor vanished; it settled in as a real creative trend with real legal cases and real economic implications. The future of music isn’t human or machine. It is a market where the human contribution – writing, performance, promotion, taste – remains the scarce asset, and generation becomes cheap plumbing under it.

What I Would Do This Week

If you are a listener, learn to check the labels. Deezer tags AI albums explicitly, and Spotify’s new metadata requirements force the disclosure of what happened during the AI generation process. Your attention is the pool of royalties; spend it consciously.

If you are a creator, run your detailed prompt through the free tiers of both Suno and Udio and test it yourself for your genre before paying anything. If you decide to go paid, start with Suno Pro ($10/month), and check the commercial terms of use on the very day you subscribe and not based on any article including this one, and save receipts of your human contributions – lyrics, arrangement, edits – for each track you plan to release. Treat the generated audio as a demo layer, put the human work on top of it, and never develop a release strategy based on bulk uploads.

If you are a musician who is scared for his/her job, the statistics provide cold but real comfort: less than half uploads, 3 percent of the listening. The audiences didn’t abandon you; the current challenge is in labeling, licensing, and getting paid for training data, which means that the most helpful thing you can do is not boycotting the tools but supporting the people, from AFM to the labeling activists, who try to make the terms fair. AI music is here to stay. Its form is still to be determined, and, unlike almost anything else in the last decade, this time this part isn’t up to the machines.

Sources

• TechCrunch, Deezer Says 44% of Songs Uploaded to Its Platform Daily Are AI-Generated: https://techcrunch.com/2026/04/20/deezer-says-44-of-songs-uploaded-to-its-platform-daily-are-ai-generated/
• TechCrunch, Music Streamer Deezer Says More Than 50% of Daily Uploads Are AI-Generated: https://techcrunch.com/2026/07/21/music-streamer-deezer-says-more-than-50-of-daily-uploads-are-ai-generated/
• Deezer Newsroom, AI-Generated Tracks Now Represent 44% of All New Uploaded Music: https://newsroom-deezer.com/2026/04/ai-generated-tracks-represent-44-of-new-uploaded-music/
• Deezer Newsroom, AI Music Tops 50% of Daily Uploads on Deezer: https://newsroom-deezer.com/2026/07/ai-music-exceeds-50-percent-daily-uploads-deezer/
• Music Business Worldwide, Spotify Has Deleted 75m+ Tracks in Spammy AI Music Crackdown: https://www.musicbusinessworldwide.com/spotify-has-deleted-75m-spammy-tracks-as-it-unveils-new-ai-music-policies/
• The Guardian, Spotify Removes 75m Spam Tracks in Past Year as AI Increases Ability to Make Fake Music: https://www.theguardian.com/music/2025/sep/25/spotify-removes-75m-spam-tracks-past-year-ai-increases-ability-make-fake-music
• Sound on Sound, AI & Music Tech In 2026: https://www.soundonsound.com/music-business/ai-music-tech-2026
• The Hollywood Reporter, AFM Sues UMG, WMG Over Settlements With Suno and Udio: https://www.hollywoodreporter.com/music/music-industry-news/musicians-union-lawsuit-ai-song-generator-settlement-1236614835/
• OpusClip, AI Music News: April 2026 Update on Suno’s Stalemate: https://www.opus.pro/blog/ai-music-news-april-2026
• Chartlex, Music Industry AI Lawsuits Tracker 2026: https://www.chartlex.com/blog/business/music-industry-ai-lawsuits-tracker-2026
• Chartlex, AI Music Generator Comparison 2026: Suno vs Udio + 3 More: https://www.chartlex.com/blog/marketing/ai-music-generator-comparison-2026
• Chartlex, Suno vs Udio 2026: The Honest Head-to-Head Comparison: https://www.chartlex.com/blog/marketing/suno-vs-udio-2026
• NME, Xania Monet Becomes First AI Artist to Chart on US Billboard Rankings: https://www.nme.com/news/music/xania-monet-becomes-first-ai-artist-to-chart-on-us-billboard-rankings-3904887
• Billboard, AI Artist Xania Monet Streaming Numbers v The Velvet Sundown: Analysis: https://www.billboard.com/pro/ai-artist-xania-monet-streaming-the-velvet-sundown-analysis/
• TechRound, Industry Experts React To AI Artist Topping The Billboard Charts: https://techround.co.uk/news/industry-experts-reactai-artist-billboard/
• Jam.com, The Future of AI Music: What’s Coming in 2026 and Beyond: https://jam.com/resources/future-of-ai-music-2026
• gptprompts.ai, Suno Pricing in 2026: Free, Pro, and Premier Plans Compared: https://gptprompts.ai/suno-pricing
• checkthat.ai, Suno Pricing 2026: Cost & Competitor Comparison: https://checkthat.ai/brands/suno/pricing
• DJ Mag, AI-Generated Music Accounts for 44% of Uploads to Deezer: https://djmag.com/news/ai-generated-music-accounts-44-of-uploads-deezer-streaming-platform-reveals