AI in Music Production. Changing the Music Landscape

Artificial intelligence is definitely changing the way music gets made. It’s also going mainstream. Timbaland, the Grammy-winning producer, has embraced generative AI, using platforms like Suno to build "A-Pop" (Artificial Pop) and compose tracks for his fully autonomous AI artist, TaTa. Skip Martin, the Grammy- and Emmy Award-winning artist and songwriter, uses Suno to take his existing song ideas, melodies, and lyrics, using the AI to rapidly explore new arrangements and global styles.

Whether you're recording a garage band or experimenting with Suno or Udio, AI tools can help you create faster and solve problems quicker. But let's be clear. AI isn't replacing musicians. It's a studio assistant. It's a helper that handles repetitive tasks and sparks a new idea. It still needs you to drive. I’ve been a musician, recording engineer, and producer for over 40 years, going from analog to digital and now jumping into the AI world of music.

So what can AI actually do right now? Think of AI as a new instrument or tool in your studio. Just as drum machines and DAWs changed music in the past, AI is joining the toolkit. Today's AI tools can help brainstorm lyrics or melodies, clean up noisy recordings, suggest EQ or compression settings, or even generate reference masters, so your tracks sound solid, across different speakers.

It’s important to realize that none of those tools make creative decisions for you. They just give you better starting points.

When you hear people talk about AI music today, they're often talking about Suno and Udio. These tools can spin up full songs from text prompts, with some amazing results, but you can also get what is called by many music purists as AI slop. To be fair, I’ve been around and have also heard plenty of real musician slop. For working musicians, these AI tools like Udio and Suno can serve as idea generators. Try a few prompts, explore different genres or chord progressions, then take what inspires you and build from there. Used this way, it's a creative partner, not a replacement. It’s like asking your buddy to help you with a song you are struggling to complete.

Imagine mixing and mastering your songs without the cost, time, and headaches. Mixing trips up a lot of musicians. Getting clarity between guitars, vocals, drums, and keys takes practice. I know; I’ve been through a lot of late-night sessions.

AI-powered plugins like iZotope Neutron or Sonible Smart EQ listen to your tracks and suggest EQ and compression moves. It's not magic, but it is a time saver. On the mastering side, I use Logic Pro, but there are also tools like Langder, Ozone, and eMastered that can analyze your mix and create a polished version that translates well on streaming platforms. Sure, top engineers still bring nuance and taste, but AI gives you a solid baseline you can afford.

Here's the bottom line. AI doesn't know your story. It doesn't know what you're trying to say or who you're saying it to. That part is still 100% you. The best results come when artists use AI as a co-pilot, not an autopilot. The best workflow and the one I follow is to review every suggestion I get, tweak, rewrite, and finally, get it finalized. That's where the music becomes yours.

A few quick guardrails if you plan on doing this for profit and not just for fun. Check the licensing terms if you're releasing AI-assisted tracks commercially. Don't clone someone's voice without consent. Consider copywriting your lyrics for added protection. Join a BMI or ASCAP if you are really serious.
The goal is to use these tools to expand your creativity, not to cut corners or copy others. Bottom line. AI is not going to replace musicians; it will help them and reduce some of the busy manual work, but that means more time for the part only you can do. Making music that actually connects with people.

About the author. Fito Kahn is an AI educator, musician, and technologist in Austin. Through Learnetics AI, he helps artists and businesses put AI to work without losing the human spark.