Why the AI Edge Belongs to Humans
Old-school skill and creativity still win in the machine age.
One thing I’ve learned in over three decades of composing is that the only way to truly master a craft is to learn it the hard way. Step-by-step. Trial and error. Experimentation. Piecing it together bit by bit, often by hand. That’s how you develop the instincts, judgement, and creative decision-making you simply can’t shortcut.
And in some ways, that puts me at an advantage in the AI era. I’ve built my work from the ground up, the slow way. I’ve had to figure out why something doesn’t work, fix it, refine it, and make it sing. Now, when I use AI tools, I’m not just clicking buttons I’m shaping them with the depth and understanding that only comes from lived practice.
Which brings me to education. I still think our current system is totally inadequate built on a Victorian model designed to produce obedient little factory workers. The premise was simple: you go to school, you “finish” your education, and then you work until retirement. That’s not how the world works anymore.
We’re still using constant testing and narrow knowledge drills that don’t prepare the next generation for the world as it is now. We should be building creativity, self-empowerment, self-discovery, and experimentation into the heart of the process. Art should be as important as algebra. Creative thinking should be taught alongside coding. Yet, at the same time, I now recognise that knowledge still matters.
Because while I believe we should be teaching people how to think, the research is clear: to be truly creative to take an idea from one field and apply it in another you need to have knowledge stored in your own mind. Without it, you can’t make the kinds of leaps that lead to original thought.
The Tools Have Changed The Process Hasn’t
It’s becoming increasingly obvious that AI is only as good as the data it’s trained on. And here’s the irony to get the most out of it, you still need talent, creativity, and a deep understanding of what it means to be human. The panic over AI “taking over” doesn’t quite land for me, because it’s our ability, artistry, and imagination that give AI its value. Without that, it’s redundant.
I’ve seen this before. Remember the hysteria around Y2K? The predictions of planes falling from the sky and power grids collapsing as the clocks rolled over to the year 2000? And then… nothing happened. Life carried on.
The real story with AI isn’t replacement it’s acceleration. The biggest shift right now is that technology is moving from being a tool to being a collaborator. And the more skill you bring, the better that collaboration becomes.
I can now have an idea for an app, a plugin, or a tool that would transform my work and bring it into reality almost instantly, just by describing it. That’s transformative. But it’s still my artistry, just faster from imagination to execution.
The grand piano was once the most advanced technology of its time, enabling musicians to express complexity and nuance in entirely new ways. Then came recording, expanding that reach even further. Generative AI is simply the next step in that lineage but it still requires a human to ask, shape, and decide.
The Hidden Cost of Outsourcing Knowledge
Here’s the danger: when we rely too heavily on external systems the Internet, search engines, AI we risk hollowing out our own cognitive abilities. Psychologists call this “cognitive offloading,” and it’s been shown to reduce the depth of our processing and even the activity in memory-related brain regions.
A 2025 CMU study found that while using the Internet didn’t kill creativity, it did reduce the number of original ideas people produced. Another study found a strong negative link between frequent AI tool use and critical thinking precisely because people stopped holding knowledge in their own heads.
Without internalised knowledge, we lose the building blocks for innovation. It’s like trying to improvise jazz without knowing your scales, or attempting a recipe without ever having tasted the ingredients.
Closing the Gap And Keeping It Ours
This is the paradox of the AI age: the gap between imagining something and making it real has never been smaller but the quality of what we make still depends entirely on the richness of what we bring to the table.
If we want to thrive, we need an educational and cultural shift that does both:
Build knowledge not as a list of facts to regurgitate, but as a living mental library to draw on.
Cultivate creativity not as a side hobby, but as a core skill for life and work.
Teach adaptability the ability to learn, unlearn, and recombine ideas across domains.
AI won’t replace human creativity. But if we stop cultivating the knowledge, skills, and depth that creativity depends on, we risk replacing ourselves.