Producing music in the early days was straightforward in concept, but demanding in execution. It required gathering skilled musicians, vocalists, and physical instruments, bringing them together in a studio, and recording performances using hardware onto magnetic tapes or CDs. The process was deeply rooted in physical effort, coordination, and precision.
Back then, music production was not for everyone. It was a specialised craft, heavily dependent on hardware—microphones, instruments, analogue gear, and studio spaces designed with careful acoustic treatment. Producers worked closely with performers, capturing emotion in real time.
As decades passed, technology reshaped everything. The rise of personal computers transformed music production into a more accessible and unified process. The computer became the centre of the studio—capable of handling composition, sound design, recording, mixing, and mastering within a single system. It also acted as a bridge, connecting both hardware and software into one cohesive workflow.
This shift opened the doors to a new generation of creators. What was once exclusive became widely accessible. Anyone with the right knowledge and tools could step into music production and begin creating.
At the heart of this transformation was the Digital Audio Workstation (DAW). While professional tools were not always affordable, accessible alternatives ensured that aspiring producers still had a way in. Personally, I have worked with Cakewalk—now known as Cakewalk by BandLab—which played a key role in my journey as a producer.
Then came the next major shift: Generative AI.
Generative AI has made music creation faster and more accessible than ever. With minimal effort, one can generate a full piece of music by simply entering prompts and making a few adjustments. It removes many traditional barriers—technical skill, deep knowledge of music theory, and even the need to play an instrument.
However, this ease introduces a fundamental question: what defines music as art?
Music production, at its core, is an expression. It carries intention, emotion, and human experience. It is shaped by effort, experimentation, and often, imperfection. These imperfections are not flaws—they are what make music feel alive.
Generative AI challenges this idea by automating much of the creative process. While it can produce structured and polished results, it often lacks the depth that comes from lived experience and deliberate artistic choices.
This is where a more balanced approach emerges: AI-assisted music production.
In this approach, AI is not the creator—it is a tool. It helps refine ideas, overcome creative blocks, and translate imagination into something tangible. The artistic vision, however, remains entirely human.
In my own workflow, AI serves as a guide. It helps me shape ideas, explore possibilities, and bring clarity to concepts—but it does not replace my decisions, my taste, or my intent as an artist.
This distinction matters.
Using AI as an assistant preserves the essence of music as a human-driven art form, while still embracing the advantages of modern technology.
At the same time, the debate between analogue and digital continues.
Analogue gear still holds a unique place in music production. Many studios continue to use it as part of their workflow because of the character and warmth it can bring to sound. However, it comes with practical limitations—cost, space requirements, and accessibility.
Digital production removes many of these barriers. A computer, along with essential tools like studio monitors or headphones, is often enough to create professional-quality music. This accessibility has empowered countless bedroom producers to pursue their craft without the need for expensive setups.
That said, digital production can sometimes sound overly precise or “perfect,” lacking the organic feel associated with analogue systems. While modern plugins attempt to replicate analogue characteristics, they do not fully capture the same depth and unpredictability.
Despite these differences, one thing remains constant: music production continues to evolve.
From analogue systems to digital workstations, and now to AI-driven tools, each shift has redefined how music is created. But the tools themselves have never defined the artist.
What defines music is intention, emotion, and the human behind it.
AI will continue to grow—becoming more powerful, more efficient, and more integrated into creative workflows. But no matter how advanced it becomes, it cannot replace the reason music exists in the first place.
As for me, I will continue to create the way I always have—using technology as a tool, not a substitute. Because in the end, music is not just about how it is made. It is about why it is made.