AI in the recording studio: what actually works, and what’s just noise
There’s no avoiding the conversation right now. Every producer forum, every music tech newsletter, every panel at every conference is asking the same question: what does AI actually mean for the recording studio?
At Ten87 Studios – a community of over 60 professional studios in Tottenham – we hear it constantly from our members and day hire artists. Some are excited. Some are sceptical. Most are somewhere in between: curious enough to try things, experienced enough to know when something isn’t quite right.
So here’s an honest take. Not a sales pitch for any particular tool, and not a dismissal of something that genuinely is changing the way people work.
The tools that are actually useful right now
Stem separation
This one has quietly become indispensable. Tools like Meta’s Demucs – which splits a mixed track into vocals, drums, bass, and everything else – used to produce results that were clearly artefacted. Now they’re clean enough to use in a professional context.
In practice, producers at Ten87 Studios use stem separation for: sampling and interpolation without legal headaches, learning a mix by isolating elements, and rescuing old recordings where the original sessions no longer exist. It’s one of those tools that saves hours and asks for nothing in return except a decent export.
AI-assisted mixing and mastering
iZotope’s Ozone, Sonible’s smart:comp, Waves’ AI-powered plugins – these have genuinely improved. The useful framing here is not “will AI mix my track for me?” but “can AI handle the analytical groundwork so I can focus on the creative decisions?”
The answer, increasingly, is yes. Loudness matching, frequency balance checking, basic dynamic control – these are tasks where the machine is fast and accurate. Where human ears still win is in the judgement calls: the choice that makes a mix feel like something, not just measured correctly.
Platforms like LANDR have also made rapid strides on mastering turnaround. For an independent artist who needs a competent master at speed, it’s a real option. For an artist who wants a master that stands out, there’s still no substitute for working with an experienced engineer in a calibrated room – which is exactly what our mixing and mastering suite at Ten87 Studios is built for.
Arrangement and composition assistance
More contested, but genuinely useful for the right workflow. If you have a strong melodic or harmonic idea but blank out on arrangement, tools that suggest chord variations or fill out instrumentation can break a creative block. The key distinction – one most working producers will instinctively understand – is using the suggestion as a starting point, not a finished answer.
Noise reduction and restoration
Probably the clearest win. AI-powered noise reduction (iZotope RX being the benchmark) has reached a level where recordings that would previously have been unusable can now be salvaged. Room noise, mic handling, background hum – treated non-destructively and with a quality that simply wasn’t possible five years ago.
The things that aren’t what they seem
Fully generative song creation
Suno, Udio, and their peers are genuinely impressive as demonstrations. As professional tools, they’re more limited than the headlines suggest. The issue isn’t technical – it’s creative. Output tends toward the generic because the models are trained on the aggregate of what already exists, not on taste or intention.
There’s also the question of ownership, ethics, and the music industry’s ongoing reckoning with how these models were trained. These aren’t settled questions, and for working artists, that uncertainty is real. A significant number of producers surveyed by Sound on Sound in early 2026 cited ethical concerns as a reason to hold back from generative tools specifically.
AI as a replacement for a proper acoustic environment
No plugin corrects a bad room. No algorithm compensates for a mic placed wrong, monitors that aren’t calibrated, or a performance captured through a compromised signal chain. The ceiling for what AI can fix in post is much lower than the marketing implies.
This is where a dedicated professional space matters more than ever. When the source material is right, AI tools are powerful. When it isn’t, they’re limited.
What good producers are actually doing
The 2026 Sonarworks survey of over 1,100 working producers found the majority treat AI as a selective, task-specific tool – useful for audio cleanup, stem separation, and technical analysis, but kept away from the core creative decisions. The language that came up repeatedly was “assistant, not replacement.”
That tracks with what we see at Ten87 Studios. The producers who are thriving with these tools aren’t the ones who have handed over creative decisions. They’re the ones who’ve identified the parts of the process they found tedious or slow and have found specific tools to handle them – while keeping the things that actually make music interesting firmly in their own hands.
The bottom line
AI is a real and permanent part of music production in 2026. It’s not a fad, but it’s also not the revolution some of the coverage suggests. The most useful framing is: it’s a set of genuinely powerful tools for specific tasks, and like any tool in the studio, the quality of the output depends entirely on the skill of the person using it.
At Ten87 Studios, our members have access to professional hardware, calibrated rooms, and experienced engineers – the foundation that makes any production approach, AI-assisted or not, actually work.
If you want to book a day hire session and bring whatever workflow suits you, find out more here. If you’re interested in what our mixing and mastering team can do, take a look at our services.
