AI is really changing how music is composed and produced, and I've experienced that firsthand through my music persona, Candace Love. I know some musicians might feel a little threatened by AI -- like it's going to take over the creative process -- but honestly, I see it as a tool that can enhance creativity rather than replace it. It reminds me a lot of when computers first came on the scene. I've been around long enough to remember the outcry from many writers who were used to their trusty manual typewriters. People were saying, "I'll never write on a computer -- it's not the same, it has no soul!" But fast-forward to today, and honestly, I don't know a single person who's still using a manual typewriter. We adapt, we grow, and we figure out how to use new tools to make our work better, faster, and sometimes even more inspired. That's how I see AI in music. When I write songs as Candace Love, sometimes I'll use AI to spark an idea -- maybe a melody, a chord progression, or a lyric that makes me think in a new way. But at the end of the day, it's still my voice, my story, and my emotion that shape the final song. AI just gives me another way to access the muse -- it's like having a creative buddy who's always there to brainstorm with. And really, humans have always used tools to create art. Nobody tells a painter they shouldn't use a new kind of brush or a different kind of paint. Why shouldn't musicians and songwriters use every tool available to help express what's in their hearts? I also think AI is helping to democratize music -- you don't have to be a classically trained musician or have access to a big fancy studio anymore. If you've got something to say, and a bit of curiosity, AI can help you say it in a beautiful and compelling way. So to me, AI is part of the evolution of music and creativity. It's like the next step in how humans express ourselves -- and if we embrace it, rather than fear it, I think it can lead to some really incredible, heartfelt art.
At Tunescribers, we've noticed a growing trend among our customers who request assistance with music generated by AI. This indicates that there are musicians out there who, while they can play and read sheet music, may not feel confident in their songwriting or composing abilities. However, they can articulate their broad musical ideas well enough for AI tools to generate songs that resonate with them. This shift not only democratises music creation but also opens up new avenues for collaboration between human musicians and AI technology. Importantly, the creative process doesn't end with the composition of the song - it continues right through to the performance of it (and possibly even the listening, though that's a discussion for another day!). If these musicians are performing live, even if the music was originally written by AI, there is still room for human expression.
AI is showing the first steps of creativity. However, the current generative AI can only decompose and recompile styles from human-created pictures, lacking the ability to create entirely new styles that have never existed before. Removing a particular style from the training data will prevent the system from inventing it. Nevertheless, AI generative algorithms are transforming the creative process in art and music, much like how Photoshop and Illustrator transformed digital art. These instruments are high-level that are not limited to working with pixels. Future digital artists will have access to much higher concepts like image style and scene text description, democratizing the way of creating art and music. However, this progress brings threats, such as the rise of fake videos and clone voices. Regulating these issues and ensuring copyrights for author styles will be a challenge. Artists spend significant amounts of time developing their styles, it's their intellectual property.
AI is fundamentally changing music composition and production by streamlining the creative process and expanding artistic possibilities. One of the biggest shifts is how AI-powered tools assist musicians in generating melodies, harmonies, and even entire compositions in seconds--allowing artists to experiment faster and push creative boundaries. For example, AI-driven platforms like AIVA and Amper Music help composers create orchestral scores or background music with minimal input, making high-quality production more accessible to independent artists and filmmakers. Similarly, machine learning algorithms in DAWs (like Ableton Live's AI-powered features) can suggest chord progressions, auto-generate beats, or even replicate a specific producer's style, reducing creative roadblocks. Beyond composition, AI is also transforming audio mastering and sound design. Services like LANDR use AI to automate professional-quality mastering, giving indie artists a polished sound without expensive studio sessions. AI-driven plugins analyze mixes in real-time, optimizing EQ and compression to match industry standards. The most exciting part? AI isn't replacing human creativity--it's acting as a collaborative tool, enhancing efficiency while still allowing artists to bring their unique expression into the process. The future of music will likely be a blend of human emotion and AI-driven innovation.
One way AI is changing music composition and production is through generative AI tools that can create full compositions in seconds. This is a major shift from traditional methods, where musicians spend hours developing melodies and refining arrangements. Platforms like Google's MusicLM and Meta's MusicGen allow artists to generate new pieces from simple text descriptions. This makes it easier for musicians to experiment with different styles, but it also raises concerns about originality and creative control. I've seen firsthand how AI-driven content creation has reshaped industries. In IT, automation has helped businesses streamline operations, but it always comes with trade-offs. The same applies to music. AI-generated tracks flood streaming platforms, making it harder for new artists to stand out. Personalized algorithms on services like Spotify and Apple Music decide what people hear, often favoring AI-assisted music over human-made compositions. While this technology offers convenience, it challenges artists trying to connect with listeners organically. Musicians who embrace AI as a tool, rather than a replacement, can benefit the most. AI can help with brainstorming new ideas, refining sound quality, and creating background music for content creators. But it's important to maintain human creativity in the process. Artists should experiment with AI but still bring their personal touch to their music. The key is to use AI to enhance, not replace, human artistry.