AI vs. Producer: Who’s Really in Control? Blue Amazon – Plugged-In

Article Blue Amazon

Editing Design Mike Moggi Mannix

Not Another “AI Will Change the World” Article

 

I’m writing this with a realistic point of view, based on current research, visible trends, and real impacts. My blog is mainly focused on music tech tools, but this topic is closely related.

YouTube is flooded with videos and interviews declaring:

The world is heading for a dystopian future where humans are replaced by robots, servers, and AI. By 2100, humanity could be finished.”

Scary? Yes. Possible? Maybe. But the truth is—no one really knows.

These aren’t wild conspiracy theories; they’re predictions made by respected AI developers and researchers. Their biggest concerns aren’t just about the technology itself but also the lack of regulation and the potential for misuse.

While we can’t predict the future, we also can’t bury our heads in the sand. AI is already here—automating customer service, compiling data, analysing insights, editing videos, creating voiceovers for TV news, generating avatars, assisting in coding, and even supporting education. Tools like ChatGPT are helping with contractual writing, aiding research, and, increasingly, powering AI-created music on streaming and download platforms.

The impact on jobs is undeniable. Roles are already at risk, and with the pace of development, the job landscape will continue to change. Some argue it’s just another step in technological evolution—like supermarket self-checkouts or the shift from film to digital photography. Personally, I believe this shift is far bigger. AI won’t just change workflows; it will eventually surpass human productivity in many areas.

 

Focusing on Music: Prompt Me a Hit

 

The music industry is understandably nervous about AI-generated music. When have we ever had publicly available tools where you can type in a text description—or upload a reference track—and instantly generate a complete piece of music?

No musicians. No producers. No instruments. Just a prompt.

Platforms like Suno and Udio are pushing this frontier. While copyright detection exists (Suno, for example, has YouTube-style safeguards when uploading audio references), people will always find ways around it. And yes—the results are already impressive, and improving rapidly.

But this raises troubling questions. Spotify and other platforms are increasingly populated with (self-created) “fake artists” and AI-produced tracks. With minimal overhead costs for creation, streaming services profit while human creativity is devalued.

Legally, the battles have already begun. Major labels are suing AI portals for training their models on copyrighted material. The U.S. Copyright Office has also ruled that fully AI-generated works cannot be copyrighted—or must disclose the percentage created by AI. Since the music industry is built on copyright, this becomes a major stumbling block for corporate exploitation. Meanwhile, watermarking and content

ID systems are being developed to track AI music,

potentially preventing streaming platforms from exploiting loopholes.

Quality is another concern. AI-generated music isn’t flawless, but then again, over the years we’ve already accepted declining audio fidelity (remember MP3s?). The bigger question is: do audiences actually care how music is made? Will they care whether it’s AI or human—or will they simply enjoy the output as it improves?

Live music might remain different—but with holograms and immersive visual shows, younger audiences may grow to see AI-powered performances as just as valid, if not more exciting, than traditional concerts.

 

Using AI as music production tools

Using Suno as a production tool

Some producers are already turning to Suno as a stem generator—prompting the AI for ideas, extracting stems, and reworking them in their DAW. For beatmakers, it acts as a sample engine without the headache of sample clearance. It can also be used as a production assistant and idea generator. In many ways, it’s like having a team of producers at your fingertips, available 24/7.

Chat GTP – for song writing

Stuck on the second verse? Need a fresh line or alternative phrasing? ChatGPT functions like the world’s biggest thesaurus and never runs out of suggestions. It’s essentially an instant songwriting partner.

Is it already being used in the creative process? yes. But who’s going to openly talk about it?

Audio plug-ins and mixing tools

The audio world is overflowing with AI-driven plugins—EQs, compressors, mastering suites. One standout is iZotope Neutron 5, which uses AI-assisted mixing.

Neutron can rebalance instruments, resolve frequency clashes, enhance sounds, and apply auto-EQ. While it still benefits from manual adjustments, it provides a strong starting point—and can already deliver impressive results. Some engineers even believe that

AI mixing tools could eventually outperform human mixers in the foreseeable future”

Check out White Sea Studio’s challenge: “Can iZotope Neutron 5 Mix Better than Me?!” 

 Other big players—like Sonible and Waves—are building similar AI tools, and it’s only a matter of time before DAWs like Ableton and Logic integrate more of them natively.

 

Vocal editing

Autotune and Melodyne remain industry staples, but new AI-driven vocal tools are quickly emerging.

Imagine singing badly into your phone, then transforming that rough take into a polished, pitch-perfect vocal in the style of your favourite artist. Tools like ElevenLabs and SoundID Voice AI are pushing this technology forward.

SoundID Voice AI—from the same company that developed SoundID Reference for room correction—is aimed specifically at music production and is already making waves in the industry.

 

Check out this video Doctor Mix  “Impossible A.I. Vocals: Turning My Voice into EVERYTHING!”

ACE Studio – MIDI to Audio

 

ACE Studio takes things a step further: type lyrics into a piano roll, assign notes, and it generates a virtual singer to perform your composition. It’s essentially MIDI-to-vocal synthesis—already producing solid results that are only going to improve.

Watch it in action here – dB institute “How to generate INSANE AI vocals with Ace Studio”

 

SnythGTP , by Fadar – Text to sound

 

SynthGPT is an instrument plugin powered by text prompts. Simply describe the type of synth sound—or even a more realistic instrument—you want to hear, and it quickly generates it, making it playable via MIDI.

It also includes editable parameters such as filters, envelopes, and more, giving producers flexibility to shape the sound further.

Final thoughts

It’s difficult to grasp the full scope of what experts predict about AI. How can we truly imagine its future capabilities when we don’t yet understand them ourselves? One thing is clear: AI isn’t slowing down. It’s already woven into our daily lives—and its influence will only deepen.

There’s always pros and cons ,  when it comes to music, technology has always shaped and reshaped the art form. We often forget that entire genres, like

house and techno, were born directly from technological innovation”

AI is a different beast when it comes to music and like other areas, it will only balance with regulation.

 

Credits

Blue Amazon – Lee Softley

Lee Softley, known as Blue Amazon, has long been synonymous with quality in electronic music and is widely regarded as a key contributor to the genre. An active and influential figure, he continues to push boundaries across multiple facets of the industry.

His extensive body of work includes the progressive club classic No Other Love and the Javelin album. He has also delivered remixes for renowned artists such as Sasha, Skunk Anansie, New Order, Placebo, and Madonna.

On the underground scene, Lee has collaborated with Alex Flatner and Robert Owens on Kling Klong Records, as well as with Germany’s Disscut, Louie Le Fink, and Zak Gee. Together, they created the acclaimed Interpretations series, alongside numerous other projects.

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