February 4, 2026

The Pros and Cons of Songwriting with AI: A Music Therapist’s Perspective

My thoughts on AI and Songwriting, by Mack Bailey

Songwriting has always grown alongside new tools—tape machines, digital workstations, virtual instruments, and smartphone apps. Now artificial intelligence has entered the mix, and people are feeling everything from curiosity to hesitation.

Whether you’re a longtime songwriter or someone using music as a way to heal or express yourself, AI is changing the creative landscape in ways worth paying attention to. Here’s a clear, grounded look at what it can offer and where it falls short.

The Upsides

1. A Boost When Inspiration Stalls

Every songwriter knows the blank-page stare. AI can offer a few ideas… maybe a theme, a chord pattern, or a line to help you get moving again. It’s not there to take over, just to help you get started.

2. A Low-Pressure Creative Companion

For beginners or anyone working through tough emotions, AI can feel like a safe place to experiment. No judgment, no expectations. In therapeutic settings, that freedom can make it easier to open up creatively.

3. Fast and Efficient

AI can generate a rough draft in seconds. For busy creators (or nonprofit leaders juggling countless responsibilities!) that speed can be a real gift. It frees up more time for shaping the heart of the song.

4. More Access for More People

You don’t need formal training to have something meaningful to say. AI can help people with limited musical backgrounds turn their ideas into something song-like, making the creative process more accessible.

5. A Helpful Learning Tool

AI can break down songwriting styles, explain chord choices, or show how lyrics are structured. For students, it’s like having a patient tutor available all the time.

The Downsides

1. The Risk of Losing Authenticity

AI can imitate emotion, but it doesn’t experience it. Songs rooted in lived experience carry a depth no algorithm can match. Leaning too heavily on AI can smooth out the honesty that makes songwriting powerful, especially in trauma-informed work.

2. Everything Starting to Sound Alike

Because AI is trained on existing music, it tends to repeat familiar patterns. If too many people rely on it, we could end up with a lot of songs that feel similar.

3. Unclear Ownership and Copyright Issues

Who owns a lyric generated by AI? And what happens if the model unintentionally echoes copyrighted material? These questions are still being debated, and the rules aren’t settled yet.

4. Missing Out on Skill-Building

If AI handles the heavy lifting, new writers may skip over the foundational skills like crafting metaphors, shaping melodies, understanding harmony. Tools should support growth, not replace it.

5. Lack of Human Connection

In therapeutic songwriting, the process matters as much as the final product. AI can help with structure, but it can’t offer empathy, presence, or shared understanding. That part still belongs to people.

So… Should We Use AI in Songwriting?

Used intentionally, AI can spark ideas, support beginners, and streamline the creative process. But it can’t replace the human heart at the center of every meaningful song.

For artists, therapists, and storytellers, the goal is balance:
Let AI enhance your voice, not become it.

Songwriting has always been about connection—between people, between the stories we carry and the ones we’re ready to share. AI can help shape the path, but the soul of the song still belongs to the person who lived it.

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